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audit

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UpdatedJune 1, 2026 at 18:28

Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report. Read-only; never writes files. Use when the user asks to audit, analyze, check, or score a site's SEO, structured data/schema, meta tags, Core Web Vitals, robots.txt, sitemaps, or llms.txt, or how it ranks in Google and is cited by AI engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude).

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Hainrixz

Hainrixz/claude-seo-ai

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SKILL.md

readonly

name	audit
description	Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report. Read-only; never writes files. Use when the user asks to audit, analyze, check, or score a site's SEO, structured data/schema, meta tags, Core Web Vitals, robots.txt, sitemaps, or llms.txt, or how it ranks in Google and is cited by AI engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude).
argument-hint	<url\|path> [--render auto\|static\|js] [--vertical auto\|saas\|blog-publisher\|local-business\|ecommerce\|docs]
allowed-tools	Read, Grep, Glob, WebFetch, Bash, Task

/claude-seo-ai:audit

A full, read-only SEO + AI-search audit. Never writes files.

$ARGUMENTS = <url|path> [flags]. The target is a URL (https://…) or a local web project / built HTML. If no target is given, ask for one.

What to do

Invoke the seo-orchestrator skill with the target and any flags. It builds the shared PageSnapshot (via seo-crawl-render), detects the vertical (seo-vertical-detect, see references/routing.md), dispatches the read-only specialist subagents in parallel, merges findings, and runs seo-score.
Present:
- The two scores — Search SEO and AI Visibility — each with a band (A–F) and a one-line interpretation.
- A per-category breakdown for each score, the data tier reached, and the count of needs_api checks (score confidence).
- A prioritized action list sorted by impact ÷ effort: each item with status, evidence, recommendation, fixability (auto/proposed/advisory), and expected_impact (axis + confidence + magnitude).
End by offering: "Run /claude-seo-ai:fix to apply the safe, deterministic fixes — you'll confirm each change."

Two scores, never blended. Every finding conforms to schema/finding.schema.json with reproducible evidence. Respond in the user's language (EN/ES).

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Hainrixz/claude-seo-ai

Opt-in fixer (the /claude-seo-ai:fix command). Applies the safe, deterministic SEO/AI-search fixes from an audit to the user's code — meta viewport/charset/lang, JSON-LD, robots.txt AI directives, hreflang, sitemaps, OG/Twitter cards, image dimensions, canonical, llms.txt. Dry-run preview by default; writes only after explicit per-change confirmation. Runs only when the user invokes it — never auto-triggered.

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Analyze and score only a page's AI-search visibility (GEO/AEO) — answer extractability, fact density, AI-crawler access, entity linking, and llms.txt — and report an AI Visibility score with a citability breakdown. Read-only. Use for "will AI engines cite this?", GEO/AEO, or ChatGPT/Perplexity/Google AI Overviews/Gemini optimization.

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Recompute and display the two scores (Search SEO + AI Visibility) from the most recent audit's findings, without re-crawling. Use to re-show or refresh the scores after an audit, or to score a saved findings JSON file.

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Audit AI crawler access and citability for a page — confirm retrieval/citation bots (OAI-SearchBot, Claude-SearchBot, PerplexityBot) are allowed and the Googlebot vs Google-Extended split is correct, classify training vs search/retrieval vs user-fetch user-agents, check the page is server-rendered enough for non-JS AI crawlers, validate llms.txt / llms-full.txt (also covers M21), and generate a choice-gated robots.txt preset. Module M14. Feeds the AI Visibility score.

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Audit Core Web Vitals & page performance — measure LCP, INP, and CLS against p75 field thresholds, diagnose render-blocking resources, unoptimized images, and layout-shift sources, and produce prioritized, advisory-only remediation guidance. Module M15. Feeds the Search SEO score (heavily) and the AI Visibility score (minimally).

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Fetch a page (or local files) and build the shared PageSnapshot every audit module reads — raw HTML, rendered DOM when a render MCP is available, response headers, status/redirect chain, and site artifacts (robots.txt, sitemaps, llms.txt). Decides whether JavaScript rendering is needed and records the data tier.

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name	audit
description	Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report. Read-only; never writes files. Use when the user asks to audit, analyze, check, or score a site's SEO, structured data/schema, meta tags, Core Web Vitals, robots.txt, sitemaps, or llms.txt, or how it ranks in Google and is cited by AI engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude).
argument-hint	<url\|path> [--render auto\|static\|js] [--vertical auto\|saas\|blog-publisher\|local-business\|ecommerce\|docs]
allowed-tools	Read, Grep, Glob, WebFetch, Bash, Task

/claude-seo-ai:audit

A full, read-only SEO + AI-search audit. Never writes files.

$ARGUMENTS = <url|path> [flags]. The target is a URL (https://…) or a local web project / built HTML. If no target is given, ask for one.

What to do

Invoke the seo-orchestrator skill with the target and any flags. It builds the shared PageSnapshot (via seo-crawl-render), detects the vertical (seo-vertical-detect, see references/routing.md), dispatches the read-only specialist subagents in parallel, merges findings, and runs seo-score.
Present:
- The two scores — Search SEO and AI Visibility — each with a band (A–F) and a one-line interpretation.
- A per-category breakdown for each score, the data tier reached, and the count of needs_api checks (score confidence).
- A prioritized action list sorted by impact ÷ effort: each item with status, evidence, recommendation, fixability (auto/proposed/advisory), and expected_impact (axis + confidence + magnitude).
End by offering: "Run /claude-seo-ai:fix to apply the safe, deterministic fixes — you'll confirm each change."

Two scores, never blended. Every finding conforms to schema/finding.schema.json with reproducible evidence. Respond in the user's language (EN/ES).