# Full website SEO audit Human Guide

## What This Is For
Full website 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 Full website SEO audit 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 full website SEO audit.
- 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 Full website SEO audit 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
- **Render homepage**: use `claude-seo run render_page.py <url> --mode auto --json` to capture raw HTML, rendered HTML, extracted text, SPA status, and accessibility data when needed
- **Detect business type**: analyze homepage signals per seo orchestrator
- **Crawl site**: follow internal links up to 500 pages, respect robots.txt
- **Delegate to subagents** (if available, otherwise run inline sequentially):
- `seo-technical` -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers
- `seo-content` -- E-E-A-T, readability, thin content, AI citation readiness
- `seo-schema` -- detection, validation, generation recommendations
- `seo-sitemap` -- structure analysis, quality gates, missing pages
- `seo-performance` -- LCP, INP, CLS measurements
- `seo-visual` -- screenshots, mobile testing, above-fold analysis
- `seo-geo` -- AI crawler access, llms.txt, citability, brand mention signals
- `seo-local` -- GBP signals, NAP consistency, reviews, local schema, industry-specific local factors (spawn when Local Service industry detected: brick-and-mortar, SAB, or hybrid business type)

## Decision Points And Nuance
The original skill emphasizes: Process, Crawl Configuration, Output Files, Structured Audit Data Envelope, Scoring Weights, Report Structure, Executive Summary, Technical SEO, Content Quality, On-Page SEO.

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
- | URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |

## Copy-And-Paste Prompt
```text
Use the Full website SEO audit 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 agricidaniel/claude-seo skill entry for `seo-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.

# Full Website SEO Audit

## Process

1. **Render homepage**: use `claude-seo run render_page.py <url> --mode auto --json` to capture raw HTML, rendered HTML, extracted text, SPA status, and accessibility data when needed
2. **Detect business type**: analyze homepage signals per seo orchestrator
3. **Crawl site**: follow internal links up to 500 pages, respect robots.txt
4. **Delegate to subagents** (if available, otherwise run inline sequentially):
   - `seo-technical` -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers
   - `seo-content` -- E-E-A-T, readability, thin content, AI citation readiness
   - `seo-schema` -- detection, validation, generation recommendations
   - `seo-sitemap` -- structure analysis, quality gates, missing pages
   - `seo-performance` -- LCP, INP, CLS measurements
   - `seo-visual` -- screenshots, mobile testing, above-fold analysis
   - `seo-geo` -- AI crawler access, llms.txt, citability, brand mention signals
   - `seo-local` -- GBP signals, NAP consistency, reviews, local schema, industry-specific local factors (spawn when Local Service industry detected: brick-and-mortar, SAB, or hybrid business type)
   - `seo-maps` -- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available)
   - `seo-google` -- CWV field data (CrUX), URL indexation (GSC), organic traffic (GA4) (spawn when Google API credentials detected via `claude-seo run google_auth.py --check`)
   - `seo-backlinks` -- Backlink profile data: DA/PA, referring domains, anchor text, toxic links (spawn when Moz or Bing API credentials detected via `claude-seo run backlinks_auth.py --check`, or always include Common Crawl domain-level metrics)
   - `seo-cluster` -- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters)
   - `seo-sxo` -- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits)
   - `seo-drift` -- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL via `claude-seo run drift_history.py <url>`)
   - `seo-ecommerce` -- Product schema, marketplace intelligence (spawn when E-commerce industry detected)
5. **Score** -- aggregate into SEO Health Score (0-100)
6. **Persist audit artifacts** -- write all outputs under `{domain}-audit/`
7. **Report** -- generate prioritized action plan and optional PDF/HTML report

## Crawl Configuration

```
Max pages: 500
Respect robots.txt: Yes
Follow redirects: Yes (max 3 hops)
Timeout per page: 30 seconds
Concurrent requests: 5
Delay between requests: 1 second
```

## Output Files

- `{domain}-audit/FULL-AUDIT-REPORT.md`: Comprehensive findings
- `{domain}-audit/ACTION-PLAN.md`: Prioritized recommendations (Critical > High > Medium > Low)
- `{domain}-audit/audit-data.json`: Structured audit envelope for report generation
- `{domain}-audit/findings/*.md`: Per-category specialist findings (`technical.md`, `content.md`, `schema.md`, `performance.md`, `visual.md`, etc.)
- `{domain}-audit/screenshots/`: Desktop + mobile captures (if Playwright available)
- **PDF Report** (recommended): Generate a professional A4 PDF using `claude-seo run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/`. This produces a white-cover enterprise report with TOC, executive summary, charts (Lighthouse gauges, query bars, index donut), metric cards, threshold tables, prioritized recommendations with effort estimates, and implementation roadmap. Always offer PDF generation after completing an audit.

## Structured Audit Data Envelope

Write `{domain}-audit/audit-data.json` with this shape so `claude-seo run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/` can generate a report even when Google API data is unavailable:

```json
{
  "summary": {
    "health_score": 0,
    "business_type": "detected type",
    "top_findings": [],
    "quick_wins": []
  },
  "categories": [
    {
      "name": "Technical SEO",
      "score": 0,
      "what_works": [],
      "findings": [
        {
          "title": "Finding title",
          "severity": "Critical|High|Medium|Low|Info",
          "description": "Evidence-backed detail",
          "recommendation": "Specific fix"
        }
      ]
    }
  ],
  "action_plan": {
    "phases": [
      {"name": "Phase 1: Critical Fixes", "timeframe": "Week 1", "items": []},
      {"name": "Phase 2: High-Impact Improvements", "timeframe": "Weeks 2-3", "items": []},
      {"name": "Phase 3: Content & Authority", "timeframe": "Month 2", "items": []},
      {"name": "Phase 4: Monitoring & Iteration", "timeframe": "Ongoing", "items": []}