# GEO audit orchestration skill Human Guide

## What This Is For
Full website GEO+SEO audit with parallel subagent delegation. It gives the agent a clearer input/output frame for search and SEO workflows: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the GEO audit orchestration skill agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for GEO audit orchestration skill.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the GEO audit orchestration skill guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Use WebFetch to retrieve the homepage at the provided URL.
- Extract the following signals:
- Page title, meta description, H1 heading
- Navigation menu items (reveals site structure)
- Footer content (reveals business info, location, legal pages)
- Schema.org markup on homepage (Organization, LocalBusiness, etc.)
- Pricing page link (SaaS indicator)
- Product listing patterns (E-commerce indicator)
- Blog/resource section (Publisher indicator)
- Service pages (Agency indicator)
- Address/phone/Google Maps embed (Local business indicator)
- Classify the business type using these patterns:

## Decision Points And Nuance
The original skill emphasizes: Purpose, Key Insight, Audit Workflow, Phase 1: Discovery and Reconnaissance, Phase 2: Parallel Subagent Delegation, Phase 3: Score Aggregation and Report Generation, Composite GEO Score Calculation, Score Interpretation, Issue Severity Classification, Critical (Fix Immediately).

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Respect `robots.txt` directives -- do not fetch disallowed paths.
- **Page Limit:** Never crawl more than 50 pages per audit. Prioritize high-value pages.
- **Rate Limiting:** Wait at least 1 second between page fetches to avoid overloading the server.

## Copy-And-Paste Prompt
```text
Use the GEO audit orchestration skill human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the zubair-trabzada/geo-seo-claude skill entry for `geo-audit`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# GEO Audit Orchestration Skill

## Purpose

This skill performs a comprehensive Generative Engine Optimization (GEO) audit of any website. GEO is the practice of optimizing web content so that AI systems (ChatGPT, Claude, Perplexity, Gemini, etc.) can discover, understand, cite, and recommend it. This audit measures how well a site performs across all GEO dimensions and produces an actionable improvement plan.

## Key Insight

Traditional SEO optimizes for search engine rankings. GEO optimizes for AI citation and recommendation. Sites that score high on GEO metrics see 30-115% more visibility in AI-generated responses (Georgia Tech / Princeton / IIT Delhi 2024 study). The two disciplines overlap but have distinct requirements.

---

## Audit Workflow

### Phase 1: Discovery and Reconnaissance

**Step 1: Fetch Homepage and Detect Business Type**

1. Use WebFetch to retrieve the homepage at the provided URL.
2. Extract the following signals:
   - Page title, meta description, H1 heading
   - Navigation menu items (reveals site structure)
   - Footer content (reveals business info, location, legal pages)
   - Schema.org markup on homepage (Organization, LocalBusiness, etc.)
   - Pricing page link (SaaS indicator)
   - Product listing patterns (E-commerce indicator)
   - Blog/resource section (Publisher indicator)
   - Service pages (Agency indicator)
   - Address/phone/Google Maps embed (Local business indicator)

3. Classify the business type using these patterns:

| Business Type | Detection Signals |
|---|---|
| **SaaS** | Pricing page, "Sign up" / "Free trial" CTAs, app.domain.com subdomain, feature comparison tables, integration pages |
| **Local Business** | Physical address on homepage, Google Maps embed, "Near me" content, LocalBusiness schema, service area pages |
| **E-commerce** | Product listings, shopping cart, product schema, category pages, price displays, "Add to cart" buttons |
| **Publisher** | Blog-heavy navigation, article schema, author pages, date-based archives, RSS feeds, high content volume |
| **Agency/Services** | Case studies, portfolio, "Our Work" section, team page, client logos, service descriptions |
| **Hybrid** | Combination of above signals -- classify by dominant pattern |

**Step 2: Crawl Sitemap and Internal Links**

1. Attempt to fetch `/sitemap.xml` and `/sitemap_index.xml`.
2. If sitemap exists, extract up to 50 unique page URLs prioritized by:
   - Homepage (always include)
   - Top-level navigation pages
   - High-value pages (pricing, about, contact, key service/product pages)
   - Blog posts (sample 5-10 most recent)
   - Category/landing pages
3. If no sitemap exists, crawl internal links from the homepage:
   - Extract all `<a href>` links pointing to the same domain
   - Follow up to 2 levels deep
   - Prioritize pages linked from main navigation
4. Respect `robots.txt` directives -- do not fetch disallowed paths.
5. Enforce a maximum of 50 pages and a 30-second timeout per fetch.

**Step 3: Collect Page-Level Data**

For each page in the crawl set, record:
- URL, title, meta description, canonical URL
- H1-H6 heading structure
- Word count of main content
- Schema.org types present
- Internal/external link counts
- Images with/without alt text
- Open Graph and Twitter Card meta tags
- Response status code
- Whether the page has structured data

---

### Phase 2: Parallel Subagent Delegation

Delegate analysis to 5 specialized subagents. Each subagent operates on the collected page data and produces a category score (0-100) plus findings.

**Subagent 1: AI Visibility Analysis (geo-ai-visibility)**
- Analyze content blocks for quotability by AI systems (citability scoring)
- Check AI crawler access via robots.txt and llms.txt presence
- Scan brand presence across YouTube, Reddit, Wikipedia, LinkedIn