FLOW framework: find · leverage · optimize · win
Quick answer
- 01What is it?
- FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). It stands out by giving search and SEO workflows a defined shape, so the agent asks for better context and returns a more usable result.
- 02Inputs
- Context for search and SEO workflows: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for search and SEO workflows: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add agricidaniel/claude-seo --skill seo-flowSkill instructions
The instruction file for this skill. The skill also includes other files you need to install to use it.
FLOW Framework: Find · Leverage · Optimize · Win
FLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO integrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can be driven by structured, evidence-backed AI prompts rather than improvised queries.
Framework and prompts © Daniel Agrici, CC BY 4.0: github.com/AgriciDaniel/flow
Runtime context: Load references/flow-framework.md on every /seo flow activation.
Load prompt files on demand, only for the stage the user requests.
Commands
| Command | What it does |
|---|---|
/seo flow | Show FLOW overview + stage menu |
/seo flow find [url|topic] | Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts) |
/seo flow leverage [url] | Leverage-stage: backlink strategy, off-site authority (1 prompt) |
/seo flow optimize [url] | Optimize-stage: select 2-3 most relevant of 21 prompts based on context |
/seo flow win [url] | Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts) |
/seo flow local [url] | Local-stage: GBP optimization, meta, title tags, local audits (11 prompts) |
/seo flow prompts | Full index of all 41 prompts (stage, name, trigger conditions) |
/seo flow sync | Pull latest prompt files from github.com/AgriciDaniel/flow |
Orchestration Logic
On /seo flow (no sub-command)
- Read
references/flow-framework.md - Show the FLOW stage overview with a one-line description of each stage
- Ask: which stage matches the user's current situation?
On /seo flow find [url|topic]
- Read all files in
references/prompts/find/ - Apply each prompt to the URL or topic
- Cross-reference: "For deeper SERP clustering, see
/seo cluster <seed-keyword>"
On /seo flow leverage [url]
- Read the file in
references/prompts/leverage/ - Apply to the URL's current backlink context
- Cross-reference: "For raw backlink data, see
/seo backlinks <url>"
On /seo flow optimize [url]
- Read all file names in
references/prompts/optimize/ - Read prior analysis context (URL, industry vertical, any prior skill output in conversation)
- Select 2-3 most relevant prompts; load only those files
- Apply selected prompts; note the others are accessible via
/seo flow prompts - Cross-reference: "For full content quality analysis, see
/seo content <url>and/seo geo <url>"
On /seo flow win [url]
- Read all files in
references/prompts/win/ - Apply each prompt to the URL's conversion and BOFU context
- Cross-reference: "For SXO persona scoring, see
/seo sxo <url>"
On /seo flow local [url]
- Read all files in
references/prompts/local/ - Apply to the URL's local SEO context
- Cross-reference: "For full local SEO analysis, see
/seo local <url>and/seo maps [command]"
On /seo flow prompts
- Read
references/prompts/README.md - Display the full index: all 41 prompts with stage, name, trigger conditions
On /seo flow sync
- Run:
claude-seo run sync_flow.py - Display the JSON summary (files added, updated, unchanged)
- Show attribution notice after sync completes
Context Matching (Optimize stage)
The optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:
- Industry vertical (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)
- Prior skill output (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)
- URL signals (product pages → conversion; blog → freshness + authority)
Always surface exactly 2-3 prompts. State which prompts you chose and why.
Reference Files
Load on-demand, do NOT load all at startup:
references/flow-framework.md: FLOW operating model (load on every/seo flowactivation)references/bibliography.md: Evidence sources; load when citing studies or statisticsreferences/prompts/README.md: Prompt index; load for/seo flow promptsreferences/prompts/find/: 5 prompts; load for/seo flow findreferences/prompts/leverage/: 1 prompt; load for/seo flow leveragereferences/prompts/optimize/: 21 prompts; load selectively for/seo flow optimizereferences/prompts/win/: 3 prompts; load for/seo flow winreferences/prompts/local/: 11 prompts; load for/seo flow local
Attribution
Every /seo flow activation (any sub-command) outputs before analysis:
Framework and prompts © Daniel Agrici, CC BY 4.0: github.com/AgriciDaniel/flow
Do not omit or modify the attribution.
Error Handling
| Scenario | Action |
|---|---|
references/flow-framework.md missing | "FLOW reference files not synced. Run: /seo flow sync" |
| Prompt file missing | "Run /seo flow sync to pull the latest prompts from the FLOW repo." |
sync_flow.py network error | Display the script's stderr. Check rate limits: gh api rate_limit. |
sync_flow.py auth error | Run gh auth login then retry. |
Supporting file: references/bibliography.md
title: "Bibliography" description: "Bibliography" updated: 2026-04-25 tags:
- references
Bibliography
This bibliography lists the sources used for public claims. Web sources include retrieval date. PDF sources include hash and page count from the canonical manifest.
Web Sources
- https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/ | retrieved 2026-04-25 | used for: 58% lower average CTR for position-one content when an AI Overview is present, using December 2025 Ahrefs data
- https://backlinko.com/google-user-behavior | retrieved 2026-04-25 | used for: 42% of local-query searchers click inside the Google Maps Pack
- https://gs.statcounter.com/search-engine-market-share/all/worldwide/2025 | retrieved 2026-04-25 | used for: Bing March 2026 share: 5.13% worldwide; 9.85% United States all-platform search share
- https://support.google.com/business/answer/10515606?hl=en | retrieved 2026-04-25 | used for: 70% more likely to visit; 50% more likely to consider purchasing
- https://www.brightlocal.com/resources/local-seo-statistics/ | retrieved 2026-04-25 | used for: 39%
- https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/ | retrieved 2026-04-25 | used for: 8% with AI summary vs 15% without AI summary
- https://www.searchenginejournal.com/state-of-seo/ | retrieved 2026-04-25 | used for: 77.9% worry about AI reducing website clicks
- https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm | retrieved 2026-04-25 | used for: 73.2% of FY2025 revenue from Google advertising: $294.691B / $402.836B
- https://www.semrush.com/blog/semrush-ai-overviews-study/ | retrieved 2026-04-25 | used for: 33.75% to 31.53%
- https://www.seoclarity.net/research/analysis-of-top-cited-pages-from-chatgpt | retrieved 2026-04-25 | used for: 25% of top 1,000 cited URLs have zero organic visibility in Google
PDF Sources
- PPC_Trends_2026.pdf | tier A | pages 30 | sha256
609cbad8786070cf40290a86bdc9c16d5c5530b0460b91eb9f82fc14fe4d8122| action: extract-and-consider - SEJ_LeveragingGenerativeAI_F.pdf | tier C | pages 86 | sha256
26985b1ebdbd1b725b3a78bd4b26bd576c89dab7fdd19c4dfed06f8e697bda4c| action: extract-and-consider - SEJ_SEOInTheAgeOfAI_F.pdf | tier C | pages 78 | sha256
a7142071e46c7461ef263ed5ac7da0e343f83d900e9c3ea74b18e05c8364311f| action: extract-and-consider - SEJ_State_of_AI_in_Marketing_F.pdf | tier C | pages 13 | sha256
c099f7700d58b40f8c55e408c58f65f71ad5bc8981d266d3701363308cebb9af| action: extract-and-consider - SEJ_StateofSEO2026.pdf | tier A | pages 31 | sha256
4cf17f9eb89a911ab17a9faf90f3d0069af8e4acc12a77d86023d0b318577791| action: extract-and-consider - SEJ_UX&SEO.pdf | tier C | pages 24 | sha256
8ac6a00e5cc1763191d852072d0f8e4223598a7c61ce52b84834840ba02850b9| action: extract-and-consider - SEO Books/CallRail_X_SEJ_BetterLeadsMoreSales_2025.pdf | tier B | pages 20 | sha256
1126aa175b8486dbe36bc6dcd83728cc2e93505545d11d6f16568ac90ef2e733| action: extract-and-consider - SEO Books/Hobo-Beginner-SEO-2025.pdf | tier B | pages 52 | sha256
eb16d509a75235adc0bdb3bf6e49d4e57044053a409f657c219dacea10da3355| action: extract-and-consider - SEO Books/Hobo-Strategic-AiSEO-2025.pdf | tier B | pages 294 | sha256
7885d7bd3cbe4e480c018b97640119f94d7f20744bcbfeb24ba9efee34f1442f| action: extract-and-consider - SEO Books/SEJ_B2B_Lead_Generation_F.pdf | tier C | pages 61 | sha256
12bf9f5317fcc91bc94cf720f3a7522422526468c240691392054b408c7b9075| action: extract-and-consider - SEO Books/SEJ_PPC_Experts_Tips_2023.pdf | tier D | pages 57 | sha256
4d3a4db69556115b25f5bda9afc1ccb5affbdfbd419691ec99f998510329fee8| action: extract-and-consider - SEO Books/SEJ_SEO_Audit_2023.pdf | tier D | pages 76 | sha256
965ed0e620cd5624815530d8f7609d1d9ba44968da8189e3589f18224ebeab87| action: extract-and-consider - SEO Books/SEJ_TheDarkSideofLinkBuilding.pdf | tier C | pages 59 | sha256
cfa4c81c58d431923dce81ce2b3afb4c5e6db0fdd3a7aca6117c49b7e1eb1d65| action: extract-and-consider - SEO Books/SEJ_The_Future_of_AI_Search_F.pdf | tier C | pages 17 | sha256
4032124fd73160ae008e7d8598090c46b230641095fd2acb46c97b282c21bd43| action: extract-and-consider - SEO Press/10_tips_boost_site_speed-en.pdf | tier E | pages 11 | sha256
f9e07b750e738362ea624f2485a5c767d8db0c7bae61e9cb0f53d79cd7054c6b| action: skip-by-default - SEO Press/ai-seo-copywriting-seopress-en.pdf | tier E | pages 59 | sha256
89683c171d379c6e6305d34e83da12d4b67a9ff5a31675246cca9d0c2f7f244c| action: skip-by-default - SEO Press/ebook-seopress-beginners-guide-to-seo.pdf | tier E | pages 67 | sha256
cee1d0948ad1f03f90ef35db3dc2948c455f74c847424bab28d0edd1336743db| action: skip-by-default - SEO Press/ebook-seopress-guide-local-seo-en.pdf | tier E | pages 37 | sha256
bd27e4dfb7af6fcd9b68f3a99e6df502ca4f75d896ba0ef0fd05e70e27250199| action: skip-by-default - SEO Press/ebook-seopress-guide-schemas-en.pdf | tier E | pages 39 | sha256
5a39a137e3a563ac73607fc8349d6f0dee7ffb1d5206f5583a28c4fc7213d076| action: skip-by-default - SEO Press/emergency-seo-en.pdf | tier E | pages 44 | sha256
51bfb7eb0fc2cfb5fb4f77bea2493c21b3287a4c3edfb96c3d5c28a06244d39c| action: skip-by-default - SEO Press/first-site-seo-en.pdf | tier E | pages 58 | sha256
0ac67cbc71193da57226f8be8b253d5d84519504cc47cb865424403509dd2399| action: skip-by-default - SEO Press/google-search-console-en-compress.pdf | tier E | pages 49 | sha256
0a768cb025fba68afdea8786c35eec8f4c197d83f1516e926a3906dc99d45d65| action: skip-by-default - SEO Press/link_building_with_wp-en.pdf | tier E | pages 41 | sha256
27b5378f29807705ae86e86908d66074316f9914ef0b69438619bd8250fea3f3| action: skip-by-default - SEO Press/more-visibility-with-image-seo-by-seopress.pdf | tier E | pages 51 | sha256
71a1b9e05fc10a429e72f1aea579ed739664440d2d87cdf78bb30e4acd387f9b| action: skip-by-default - SEO Press/optimizing-wordpress-speed-en-2.pdf | tier E | pages 48 | sha256
1e0d721836414e7e966b8bfa2622282547f8b85f4e54ea7d4cac6e586f1bc9ff| action: skip-by-default - SEO Press/seopress-2hours-seo-en.pdf | tier E | pages 54 | sha256
7c98a0697cbe4e2b11e5eecddb2c5b742274858941e72346ef8814ee27526e6b| action: skip-by-default - SEO Press/seopress-creating-multilingual-wordpress-site.pdf | tier E | pages 46 | sha256
2e09fb5ffead2935410b9d0244c7be89e5a0a9e1f20e4bcc89065648a8cccd99| action: skip-by-default - SEO Press/seopress-google-analytics-wordpress-en.pdf | tier E | pages 57 | sha256
6b0d8c4f86c7f2b7690f561dded9d6826d00fe169084abf6ed088b712b70013c| action: skip-by-default - SEO Press/seopress-improve-your-ranking-with-on-page-seo.pdf | tier E | pages 42 | sha256
f3fd25109604af02539ce656a20b50689710ba7f9298667d26c66cc4bfbc0b45| action: skip-by-default - SEO Press/seopress-insights-en.pdf | tier E | pages 39 | sha256
6aec1450a8611164cf4f31cf98120b5afc220ceb828bdb97f4775f061863bdb5| action: skip-by-default - SEO Press/seopress-top-seo-tips-managing-multilingual-site.pdf | tier E | pages 9 | sha256
82d2561dab03451983116aa261b909347982f1ed07e8ba1316ccb9c6143b1c3c| action: skip-by-default - SEO Press/wordpress-keyword-en.pdf | tier E | pages 54 | sha256
be2ea81c03892ff37fe37b676a6f371b9a43cc00d9eaa5e714d9c3ef1da12ea2| action: skip-by-default - SEO-Trends-2026-SEJ.pdf | tier A | pages 34 | sha256
fb75eda39dc31449e77fae22d1872f7d6338239209be5830fe438dcc6ebd14d4| action: extract-and-consider - SEO_Tools_2023_F.pdf | tier D | pages 124 | sha256
5b4a17b1f2eb5e3cb88c748b7aff84b1d78544620be2a5251ee4c8c133abf744| action: extract-and-consider
Source Policy
- Public prose is freshly written from the Local SEO Knowledge Base, 2025-2026 PDFs, and verified web sources.
- Absolute local paths are intentionally omitted.
- Tier E PDFs are background by default unless a narrow operational gap requires them.
- Contradicted or unverifiable statistics are excluded from public guidance.
Supporting file: references/flow-framework.md
title: "FLOW Framework" description: "FLOW Framework" updated: 2026-04-25 tags:
- framework
FLOW Framework
What This Is
FLOW is a search-and-conversion loop for 2026 discovery. It treats rankings, AI citations, local visibility, and sales evidence as connected surfaces rather than separate channels.
FLOW uses four plain stages: Find demand, Leverage distributed evidence, Optimize owned assets for extraction and trust, and Win with pages and measurements that connect discovery to revenue. This page applies that loop to the framework layer.
Why It Matters In 2026
Ahrefs found a 58% lower average CTR for position-one content when an AI Overview was present in its December 2025 dataset.
seoClarity found that 25% of top cited ChatGPT URLs had no Google organic visibility in its cited-page sample.
Search is no longer one result page and one click path. A useful SEO system has to survive classic rankings, AI summaries, local packs, business profiles, community references, and sales feedback. The practical goal is not to chase every surface equally; it is to decide which surface can change the next business outcome and then build evidence there.
How To Apply
- Name the search surface before writing: organic result, AI answer, local pack, community discussion, paid landing page, or sales-assisted page.
- Separate observable evidence from assumptions. Claims with numbers must trace to the bibliography or be removed.
- Write from buyer language first, then add entity clarity, internal links, proof, and conversion next steps.
- Review the asset as an AI-readable document: clear headings, direct answers, concise tables where useful, source labels, and no hidden dependence on private examples.
Operating Workflow
- Define the business outcome before choosing tactics. A page meant to create a qualified call should not be judged only by impressions, and a profile meant to reconcile business facts should not be judged only by post frequency.
- Inventory the evidence already available: customer language, query data, profile details, reviews, analytics, call notes, sales objections, and any public source that can support a claim.
- Decide which FLOW stage is blocking progress. If demand language is unclear, return to Find. If the brand is not corroborated off-site, work on Leverage. If the owned asset is hard to extract or trust, Optimize. If traffic exists but business impact is weak, move to Win.
- Rewrite or rebuild only after the evidence is organized. The strongest assets usually come from a clear source table, not from a blank-page brainstorm.
- Review the finished work against three readers: the buyer, the search engine, and the AI agent that may summarize or compare the business later.
Measurement
Use a balanced scorecard. Track visibility indicators such as rankings, impressions, local-pack presence, citations, and AI mentions, but connect them to business indicators such as qualified leads, calls, form completions, sales opportunities, assisted conversions, and recurring objections. If the page or profile cannot be measured, add the measurement event before judging performance.
Common Failure Modes
- Publishing a statistic because it sounds familiar instead of because the source was loaded and dated.
- Treating AI visibility as a formatting trick while ignoring brand evidence, entity consistency, and off-site corroboration.
- Writing pages around company preferences instead of buyer questions and decision risk.
- Optimizing for traffic without defining the next qualified action.
- Reusing old examples when a generic or newly created example would be cleaner and more durable.
AI Agent Prompt
You are an SEO strategist using the FLOW model. For the asset named "FLOW Framework", analyze the target audience, search surface, evidence needed, entity facts, conversion goal, and risks. Return: priorities, page or profile changes, source requirements, internal links, measurement plan, and a list of claims that need verification before publication.
Quality Bar
- Public claims use verified sources or stay qualitative.
- Examples are generic or newly created for this repository.
- Private editorial notes are used only to identify candidate concepts, never as public prose.
- The page should make sense to a human reader and to an AI agent that only has this repository.
See Also
Sources
- Search Engine Journal, State of SEO 2026 PDF and public landing page, retrieved 2026-04-25.
- Ahrefs, AI Overviews CTR update, retrieved 2026-04-25.
- seoClarity, ChatGPT cited-page analysis, retrieved 2026-04-25.
Supporting file: references/prompts/find/content-planning-for-topical-relevance-prompt.md
title: "Content planning for Topical Relevance Prompt" description: "Content planning for Topical Relevance Prompt" updated: 2026-04-25 tags:
- prompts
- find
Content planning for Topical Relevance Prompt
Use This When
Use this prompt when you need a structured find deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a find deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/find/content-prioritization-prompt.md
title: "Content Prioritization Prompt" description: "Content Prioritization Prompt" updated: 2026-04-25 tags:
- prompts
- find
Content Prioritization Prompt
Use This When
Use this prompt when you need a structured find deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a find deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/find/keyword-research-prompt.md
title: "Keyword research prompt" description: "Keyword research prompt" updated: 2026-04-25 tags:
- prompts
- find
Keyword research prompt
Use This When
Use this prompt when you need a structured find deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a find deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/find/keyword-variations-for-topical-relevance-prompt.md
title: "Keyword variations for topical relevance prompt" description: "Keyword variations for topical relevance prompt" updated: 2026-04-25 tags:
- prompts
- find
Keyword variations for topical relevance prompt
Use This When
Use this prompt when you need a structured find deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a find deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/find/prompt-audience-avatar.md
title: "Prompt: Audience Avatar" description: "Prompt: Audience Avatar" updated: 2026-04-25 tags:
- prompts
- find
Prompt: Audience Avatar
Use This When
Use this prompt when you need a structured find deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a find deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/leverage/backlink-competition-prompt.md
title: "Backlink competition prompt" description: "Backlink competition prompt" updated: 2026-04-25 tags:
- prompts
- leverage
Backlink competition prompt
Use This When
Use this prompt when you need a structured leverage deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a leverage deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/ai-homepage-rewrite-prompt.md
title: "AI Homepage Rewrite Prompt" description: "AI Homepage Rewrite Prompt" updated: 2026-04-25 tags:
- prompts
- local
AI Homepage Rewrite Prompt
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/claude-deep-research-prompt.md
title: "Claude 'Deep Research' Prompt" description: "Claude 'Deep Research' Prompt" updated: 2026-04-25 tags:
- prompts
- local
Claude 'Deep Research' Prompt
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/gbp-categories-prompt.md
title: "GBP Categories Prompt" description: "GBP Categories Prompt" updated: 2026-04-25 tags:
- prompts
- local
GBP Categories Prompt
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/gbp-description-claude-prompt-1.md
title: "GBP Description Claude Prompt 1" description: "GBP Description Claude Prompt 1" updated: 2026-04-25 tags:
- prompts
- local
GBP Description Claude Prompt 1
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/gbp-description-claude-prompt-2.md
title: "GBP Description Claude Prompt 2" description: "GBP Description Claude Prompt 2" updated: 2026-04-25 tags:
- prompts
- local
GBP Description Claude Prompt 2
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/gbp-description-claude-prompt-3.md
title: "GBP Description Claude Prompt 3" description: "GBP Description Claude Prompt 3" updated: 2026-04-25 tags:
- prompts
- local
GBP Description Claude Prompt 3
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/gbp-services-prompt.md
title: "GBP Services Prompt" description: "GBP Services Prompt" updated: 2026-04-25 tags:
- prompts
- local
GBP Services Prompt
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/prompt-generating-a-meta-description.md
title: "Prompt: Generating a Meta Description" description: "Prompt: Generating a Meta Description" updated: 2026-04-25 tags:
- prompts
- local
Prompt: Generating a Meta Description
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/prompt-generating-a-title-tag.md
title: "Prompt: Generating a Title Tag" description: "Prompt: Generating a Title Tag" updated: 2026-04-25 tags:
- prompts
- local
Prompt: Generating a Title Tag
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/prompt-rewriting-existing-homepage.md
title: "Prompt: Rewriting Existing Homepage" description: "Prompt: Rewriting Existing Homepage" updated: 2026-04-25 tags:
- prompts
- local
Prompt: Rewriting Existing Homepage
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/local/prompt-rewriting-existing-service-page.md
title: "Prompt : Rewriting Existing Service Page" description: "Prompt : Rewriting Existing Service Page" updated: 2026-04-25 tags:
- prompts
- local
Prompt : Rewriting Existing Service Page
Use This When
Use this prompt when you need a structured local deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a local deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/ai-detector-test-follow-up-prompt.md
title: "AI detector test follow-up Prompt" description: "AI detector test follow-up Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
AI detector test follow-up Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/ai-supporting-pages-rewrite-prompt.md
title: "AI Supporting Pages Rewrite Prompt" description: "AI Supporting Pages Rewrite Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
AI Supporting Pages Rewrite Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/basic-prompt.md
title: "Basic Prompt" description: "Basic Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Basic Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/blog-post-outline-prompt.md
title: "Blog Post Outline Prompt" description: "Blog Post Outline Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Blog Post Outline Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/blog-post-writing-prompt.md
title: "Blog Post Writing Prompt" description: "Blog Post Writing Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Blog Post Writing Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/claude-prompt-1.md
title: "Claude Prompt 1" description: "Claude Prompt 1" updated: 2026-04-25 tags:
- prompts
- optimize
Claude Prompt 1
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/claude-prompt-2.md
title: "Claude Prompt 2" description: "Claude Prompt 2" updated: 2026-04-25 tags:
- prompts
- optimize
Claude Prompt 2
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/ctr-audit-prompt.md
title: "CTR AUDIT PROMPT" description: "CTR AUDIT PROMPT" updated: 2026-04-25 tags:
- prompts
- optimize
CTR AUDIT PROMPT
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/follow-up-prompt-1.md
title: "Follow-up Prompt 1" description: "Follow-up Prompt 1" updated: 2026-04-25 tags:
- prompts
- optimize
Follow-up Prompt 1
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/follow-up-prompt-2.md
title: "Follow-up Prompt 2" description: "Follow-up Prompt 2" updated: 2026-04-25 tags:
- prompts
- optimize
Follow-up Prompt 2
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/follow-up-prompt.md
title: "Follow-up Prompt" description: "Follow-up Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Follow-up Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/paa-question-rewording-prompt.md
title: "PAA Question Rewording Prompt" description: "PAA Question Rewording Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
PAA Question Rewording Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/prompt-core-30-content-audit.md
title: "Prompt: Core 30 Content Audit" description: "Prompt: Core 30 Content Audit" updated: 2026-04-25 tags:
- prompts
- optimize
Prompt: Core 30 Content Audit
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/property-content-with-authority-audit-prompt.md
title: "Property content with authority audit prompt" description: "Property content with authority audit prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Property content with authority audit prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/reddit-claude-prompt.md
title: "Reddit Claude Prompt" description: "Reddit Claude Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Reddit Claude Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/schema-prompt-1.md
title: "Schema Prompt 1" description: "Schema Prompt 1" updated: 2026-04-25 tags:
- prompts
- optimize
Schema Prompt 1
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/step-1-the-chatgpt-discovery-prompt.md
title: "Step 1: The ChatGPT Discovery Prompt" description: "Step 1: The ChatGPT Discovery Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Step 1: The ChatGPT Discovery Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/step-2-the-follow-up-qualifying-prompt.md
title: "Step 2: The Follow-Up Qualifying Prompt" description: "Step 2: The Follow-Up Qualifying Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Step 2: The Follow-Up Qualifying Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/technical-audit-prompt.md
title: "Technical Audit Prompt" description: "Technical Audit Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Technical Audit Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/visibility-follow-up-prompt.md
title: "Visibility Follow Up Prompt" description: "Visibility Follow Up Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Visibility Follow Up Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/optimize/visiblity-prompt.md
title: "Visiblity Prompt" description: "Visiblity Prompt" updated: 2026-04-25 tags:
- prompts
- optimize
Visiblity Prompt
Use This When
Use this prompt when you need a structured optimize deliverable and want the model to separate observations, assumptions, recommended actions, and claims that need verification.
AI Compatibility
Works with long-context reasoning models. For smaller models, provide narrower inputs and ask for one output section at a time.
Inputs
- Business or website name.
- Target page, profile, query set, or campaign.
- Audience and geography where relevant.
- Existing evidence: analytics, search results, calls, reviews, profile facts, or source notes.
- Constraints, exclusions, and required sources.
Prompt
Act as a senior SEO strategist using the FLOW model.
Task: create a optimize deliverable for: [BUSINESS OR ASSET].
Use only the supplied inputs and clearly label any assumption. Do not invent statistics. Do not reuse private examples. Build the answer around:
1. Searcher or buyer intent.
2. Evidence available now.
3. Gaps that block trust, extraction, or conversion.
4. Recommended changes in priority order.
5. Measurement events and review cadence.
6. Claims that require source verification before publication.
Return a concise working document the team can execute.
Output
- Executive summary.
- Priority table.
- Recommended copy, structure, or audit findings.
- Evidence needed.
- Measurement plan.
- Verification checklist.
Example
Input: a local service page with weak proof and inconsistent profile details.
Expected output: a prioritized rewrite brief, facts to reconcile, internal links to add, and the conversion event to measure.
See Also
- Prompt Library (../README.md)
- FLOW Framework (../../flow-framework.md)
- Bibliography (../../bibliography.md)
Source Note
Derived from the Local SEO Knowledge Base structure and rewritten for public use with the repository evidence standard.
Supporting file: references/prompts/README.md
Flow Prompt Index
| Stage | Filename | Title | Description |
|---|---|---|---|
| find | content-planning-for-topical-relevance-prompt.md | Content planning for Topical Relevance Prompt | Content planning for Topical Relevance Prompt |
| find | content-prioritization-prompt.md | Content Prioritization Prompt | Content Prioritization Prompt |
| find | keyword-research-prompt.md | Keyword research prompt | Keyword research prompt |
| find | keyword-variations-for-topical-relevance-prompt.md | Keyword variations for topical relevance prompt | Keyword variations for topical relevance prompt |
| find | prompt-audience-avatar.md | Prompt: Audience Avatar | Prompt: Audience Avatar |
| leverage | backlink-competition-prompt.md | Backlink competition prompt | Backlink competition prompt |
| optimize | ai-detector-test-follow-up-prompt.md | AI detector test follow-up Prompt | AI detector test follow-up Prompt |
| optimize | ai-supporting-pages-rewrite-prompt.md | AI Supporting Pages Rewrite Prompt | AI Supporting Pages Rewrite Prompt |
| optimize | basic-prompt.md | Basic Prompt | Basic Prompt |
| optimize | blog-post-outline-prompt.md | Blog Post Outline Prompt | Blog Post Outline Prompt |
| optimize | blog-post-writing-prompt.md | Blog Post Writing Prompt | Blog Post Writing Prompt |
| optimize | claude-prompt-1.md | Claude Prompt 1 | Claude Prompt 1 |
| optimize | claude-prompt-2.md | Claude Prompt 2 | Claude Prompt 2 |
| optimize | ctr-audit-prompt.md | CTR AUDIT PROMPT | CTR AUDIT PROMPT |
| optimize | follow-up-prompt-1.md | Follow-up Prompt 1 | Follow-up Prompt 1 |
| optimize | follow-up-prompt-2.md | Follow-up Prompt 2 | Follow-up Prompt 2 |
| optimize | follow-up-prompt.md | Follow-up Prompt | Follow-up Prompt |
| optimize | paa-question-rewording-prompt.md | PAA Question Rewording Prompt | PAA Question Rewording Prompt |
| optimize | prompt-core-30-content-audit.md | Prompt: Core 30 Content Audit | Prompt: Core 30 Content Audit |
| optimize | property-content-with-authority-audit-prompt.md | Property content with authority audit prompt | Property content with authority audit prompt |
| optimize | reddit-claude-prompt.md | Reddit Claude Prompt | Reddit Claude Prompt |
| optimize | schema-prompt-1.md | Schema Prompt 1 | Schema Prompt 1 |
| optimize | step-1-the-chatgpt-discovery-prompt.md | Step 1: The ChatGPT Discovery Prompt | Step 1: The ChatGPT Discovery Prompt |
| optimize | step-2-the-follow-up-qualifying-prompt.md | Step 2: The Follow-Up Qualifying Prompt | Step 2: The Follow-Up Qualifying Prompt |
| optimize | technical-audit-prompt.md | Technical Audit Prompt | Technical Audit Prompt |
| optimize | visibility-follow-up-prompt.md | Visibility Follow Up Prompt | Visibility Follow Up Prompt |
| optimize | visiblity-prompt.md | Visiblity Prompt | Visiblity Prompt |
| win | bofu-page-brief-generator.md | BOFU Page Brief Generator | BOFU Page Brief Generator |
| win | conversion-audit-prompt.md | Conversion Audit Prompt | Conversion Audit Prompt |
| win | dual-surface-content-scorecard.md | Dual-Surface Content Scorecard | Dual-Surface Content Scorecard |
| local | ai-homepage-rewrite-prompt.md | AI Homepage Rewrite Prompt | AI Homepage Rewrite Prompt |
| local | claude-deep-research-prompt.md | Claude 'Deep Research' Prompt | Claude 'Deep Research' Prompt |
| local | gbp-categories-prompt.md | GBP Categories Prompt | GBP Categories Prompt |
| local | gbp-description-claude-prompt-1.md | GBP Description Claude Prompt 1 | GBP Description Claude Prompt 1 |
| local | gbp-description-claude-prompt-2.md | GBP Description Claude Prompt 2 | GBP Description Claude Prompt 2 |
| local | gbp-description-claude-prompt-3.md | GBP Description Claude Prompt 3 | GBP Description Claude Prompt 3 |
| local | gbp-services-prompt.md | GBP Services Prompt | GBP Services Prompt |
| local | prompt-generating-a-meta-description.md | Prompt: Generating a Meta Description | Prompt: Generating a Meta Description |
| local | prompt-generating-a-title-tag.md | Prompt: Generating a Title Tag | Prompt: Generating a Title Tag |
| local | prompt-rewriting-existing-homepage.md | Prompt: Rewriting Existing Homepage | Prompt: Rewriting Existing Homepage |
| local | prompt-rewriting-existing-service-page.md | Prompt : Rewriting Existing Service Page | Prompt : Rewriting Existing Service Page |
Supporting file: references/prompts/win/bofu-page-brief-generator.md
title: "BOFU Page Brief Generator" description: "BOFU Page Brief Generator" updated: 2026-04-25 tags:
- prompts
- win
BOFU Page Brief Generator
Use This When
Use this when you need a bottom-funnel page brief for a service, product, location, comparison, pricing, demo, or lead-capture page.
AI Compatibility
Claude, GPT, Gemini, and other long-context models. Works best with current customer language and conversion evidence.
Inputs
- Offer, service, or product.
- Target audience and segment.
- Buying-stage intent.
- Known objections or hesitation points.
- Customer language from calls, chats, reviews, or surveys.
- Conversion goal.
- Required proof points.
- Existing page text, if any.
Prompt
Create a bottom-funnel page brief for [offer] targeting [audience].
Use only the inputs provided. Build the brief around what this audience needs to decide.
Analyze:
1. The immediate problem the visitor is trying to solve.
2. The decision factors they likely need before converting.
3. Objections, hesitation points, and missing clarity.
4. Customer-language phrases that should appear naturally.
5. Proof needed to support trust.
6. CTA angle and page sections needed to reduce friction.
Return: page goal, search/conversion intent, primary audience, buyer questions, objections, recommended H1, section outline, proof points, CTA strategy, FAQ topics, and tracking notes for form, call, chat, and qualified-lead measurement. Flag missing inputs.
Output
- A structured Win-stage working document.
- Prioritized recommendations.
- Evidence and measurement gaps.
- Claims or assumptions that require verification.
Example
Input: commercial repair page for facility managers with objections around response time, weekend availability, and pricing clarity. Output: a brief emphasizing urgency, service coverage, decision criteria, proof, FAQs, and call/form tracking.
See Also
- Prompt Library (../README.md)
- BOFU and Conversion Content
- Dual-Surface Scorecard
Source Note
Derived from SEJ State of SEO 2026, SEJ B2B Lead Generation, and CallRail/SEJ Better Leads More Sales 2025.
Supporting file: references/prompts/win/conversion-audit-prompt.md
title: "Conversion Audit Prompt" description: "Conversion Audit Prompt" updated: 2026-04-25 tags:
- prompts
- win
Conversion Audit Prompt
Use This When
Use this when a page, campaign, or funnel gets traffic but produces weak leads, low conversion rate, unclear attribution, or poor sales follow-up quality.
AI Compatibility
Claude, GPT, Gemini, and other long-context models. Works best with current customer language and conversion evidence.
Inputs
- Page or funnel copy.
- Traffic sources.
- Conversion goal.
- Analytics or conversion data.
- Call, chat, or form transcript samples.
- Known objections.
- Ad copy or campaign promise.
- Sales feedback, if available.
Prompt
Audit this conversion path for lead quality, friction, and measurement gaps.
Use the supplied page, campaign, and first-party conversation data. Identify:
1. Where visitor expectations may not match the page or offer.
2. Common objections and hesitation points.
3. Missing decision-making information.
4. Language mismatches between customers and the page.
5. CTA friction.
6. Tracking gaps across form, phone, chat, and offline outcomes.
7. Whether reporting connects to qualified leads or sales, not only traffic.
Return an executive summary, top blockers, lead-quality risks, messaging fixes, page/content fixes, tracking fixes, first-party data to collect next, and a ranked test backlog. Do not recommend more spend until content, offer clarity, and measurement gaps are assessed.
Output
- A structured Win-stage working document.
- Prioritized recommendations.
- Evidence and measurement gaps.
- Claims or assumptions that require verification.
Example
Input: paid search landing page with many calls but few booked appointments. Output: an audit of pricing clarity, qualification, phone attribution, repeated objections, CTA mismatch, and test priorities.
See Also
- Prompt Library (../README.md)
- BOFU and Conversion Content
- Dual-Surface Scorecard
Source Note
Derived from PPC Trends 2026, CallRail/SEJ Better Leads More Sales 2025, and SEJ State of SEO 2026.
Supporting file: references/prompts/win/dual-surface-content-scorecard.md
title: "Dual-Surface Content Scorecard" description: "Dual-Surface Content Scorecard" updated: 2026-04-25 tags:
- prompts
- win
Dual-Surface Content Scorecard
Use This When
Use this when you need to judge whether a page can perform in traditional search and AI-assisted discovery while still supporting conversion.
AI Compatibility
Claude, GPT, Gemini, and other long-context models. Works best with current customer language and conversion evidence.
Inputs
- Page copy.
- Target queries or topics.
- Intended conversion goal.
- Audience segment.
- Known first-party insights.
- Performance data, if available.
- Competing page examples, optional.
Prompt
Score this content for two discovery surfaces: traditional search and AI-assisted answer environments.
Evaluate:
1. Original usefulness and specificity.
2. Alignment with audience needs and decision stage.
3. Evidence, examples, data, or firsthand insight.
4. Clear answers to buyer questions.
5. Conversion support: CTA, proof, objection handling, and next step.
6. Refresh or update need.
7. Measurement readiness: traffic, engagement, qualified leads, sales conversions, and ROI indicators.
Return traditional search score, AI-assisted discovery score, conversion-readiness score, evidence strengths, gaps, risks, recommended updates, and the highest-impact next three actions. Use business-impact language, not traffic-only language.
Output
- A structured Win-stage working document.
- Prioritized recommendations.
- Evidence and measurement gaps.
- Claims or assumptions that require verification.
Example
Input: existing service page with traffic but low form submissions. Output: scores showing whether the page lacks buyer proof, direct answers, customer language, CTA clarity, or measurable conversion paths.
See Also
- Prompt Library (../README.md)
- BOFU and Conversion Content
- Dual-Surface Scorecard
Source Note
Derived from SEJ State of SEO 2026, verified AI-search evidence, and SEJ B2B Lead Generation.
Common questions
How do I install FLOW framework: find · leverage · optimize · win in Cursor, Claude Code, or Codex?
Run npx skills add agricidaniel/claude-seo --skill seo-flow in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only FLOW framework: find · leverage · optimize · win, not every skill in the repository.
Where does FLOW framework: find · leverage · optimize · win come from and what license is it under?
FLOW framework: find · leverage · optimize · win comes from the agricidaniel/claude-seo repository on GitHub. That repository has 15.1K GitHub stars. The skill is published under the MIT license.
Prefer plain text? Read the FLOW framework: find · leverage · optimize · win guide as markdown.
Related skills
More from agricidaniel