wf-seo-geo-audit

Combined SEO + GEO audit and optimization workflow. Runs traditional SEO audit and AI search optimization in parallel, then produces a unified action plan covering both Google rankings and AI citation

SKILL.md

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SEO + GEO Combined Audit Workflow

Run a comprehensive search audit covering traditional SEO and AI engine optimization.

Phase 1: Parallel Audits

Dispatch these two audits concurrently:

Track A — Traditional SEO Audit

Invoke seo-audit which orchestrates:

  • seo-technical — crawlability, indexability, security, Core Web Vitals
  • seo-content — E-E-A-T, readability, thin content
  • seo-schema — structured data detection and validation
  • seo-sitemap — XML sitemap analysis
  • seo-images — alt text, file sizes, formats, lazy loading
  • seo-page — deep dive on key pages
  • seo-hreflang — international SEO (if multi-language detected)

Track B — GEO Audit

Invoke geo-audit which orchestrates:

  • geo-citability — passage-level AI citation scoring
  • geo-crawlers — AI crawler access map (GPTBot, ClaudeBot, etc.)
  • geo-llmstxt — llms.txt analysis/generation
  • geo-brand-mentions — brand authority across AI training sources
  • geo-content — E-E-A-T for AI citability
  • geo-schema — structured data for AI discoverability
  • geo-technical — technical audit with GEO-specific checks
  • geo-platform-optimizer — per-platform optimization (ChatGPT, Perplexity, Gemini, etc.)

Output: Two parallel reports — SEO Health Score + GEO Score (both 0-100).


Phase 2: Gap Analysis (after both audits complete)

Step 2A — Cross-Reference Findings

Compare overlapping areas:

  • Schema: seo-schema vs geo-schema — unified recommendation
  • Content: seo-content vs geo-content — E-E-A-T alignment
  • Technical: seo-technical vs geo-technical — merge issues lists

Step 2B — AI SEO Deep Dive

Invoke ai-seo with findings from both tracks:

  • Three-pillar optimization (Structure, Authority, Presence)
  • Platform-specific recommendations

Step 2C — Site Architecture Review

Invoke site-architecture if structural issues found:

  • Internal linking optimization for both crawlers and AI
  • Topic cluster architecture

Phase 3: Action Plan

Step 3A — Content Strategy

Invoke content-strategy informed by both audits:

  • Topics that serve both Google rankings AND AI citations
  • Content gap priorities

Step 3B — Schema Implementation

Invoke schema-markup for:

  • Unified JSON-LD implementation covering both SEO rich results and AI discoverability

Step 3C — Programmatic SEO (if applicable)

Invoke programmatic-seo if scale opportunities identified:

  • Template pages, data sources, thin content safeguards

Phase 4: Reporting

Step 4A — Client Report

Invoke geo-report to generate combined report, then Invoke geo-report-pdf for PDF deliverable

Step 4B — Competitor Comparison Pages (if relevant)

Invoke competitor-alternatives or seo-competitor-pages for:

  • "vs" and "alternatives" pages targeting competitor keywords

Skill Chain Summary

Phase 1 (parallel): seo-audit ║ geo-audit
Phase 2 (sequential): cross-reference → ai-seo → site-architecture
Phase 3 (parallel): content-strategy + schema-markup + programmatic-seo
Phase 4: geo-report → geo-report-pdf

Rules

  • Phase 1 tracks MUST run in parallel for efficiency.
  • If user only wants SEO or only GEO, run just that track — but recommend the other.
  • De-duplicate overlapping recommendations between SEO and GEO.
  • Phase 4 reporting is optional — ask user if they need a client-facing deliverable.