Wf seo geo audit

Skill multiplex-ai/muggle-ai-teams/skills/wf-seo-geo-audit

AI workflow for Claude Code — describe what you want, get production-grade results. Code, content, design, planning. Built by MuggleTest.

Install

npx -y skills add multiplex-ai/muggle-ai-teams --skill wf-seo-geo-audit

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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 citations. Use when user says "full SEO and GEO audit", "audit my site for SEO and AI", "SEO + AI visibility", "comprehensive site audit", "optimize for Google and AI", "audit for search and AI engines", or "complete search audit". Chains 15+ SEO and GEO skills.

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.