audit
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,…
Audit and strengthen E-E-A-T and trust signals on a page — verify author identity/credentials (Person schema, byline, author page, sameAs), Organization about/contact/policies, visible experience/expertise markers, and transparency (sourcing, disclosures), and generate
$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-eeat --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-eeatContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit and strengthen E-E-A-T and trust signals on a page — verify author identity/credentials (Person schema, byline, author page, sameAs), Organization about/contact/policies, visible experience/expertise markers, and transparency (sourcing, disclosures), and generate
name: seo-eeat description: Audit and strengthen E-E-A-T and trust signals on a page — verify author identity/credentials (Person schema, byline, author page, sameAs), Organization about/contact/policies, visible experience/expertise markers, and transparency (sourcing, disclosures), and generate Person/Organization trust JSON-LD. Module M16. Feeds both the Search SEO and AI Visibility scores. allowed-tools: Read, Grep, Glob, WebFetch, Bash
Experience, Expertise, Authoritativeness, and Trust are how both Google's quality systems and AI answer engines decide whether to rely on a page. Trust is foundational and now applies beyond YMYL. Schema details: `references/schema-tier1.md`.
Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` (`jsonld[]`, `anchors[]`, `text_sample`); Grep `pages/<slug>.html` for verbatim evidence; site artifacts live in `<run_dir>/site/{robots.json,sitemaps.json,discovery.json}`. Deterministic findings already emitted by `audit.mjs` are listed in `<run_dir>/findings.deterministic.json` — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run `node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs"` and use the printed snapshot path.
Working from the PageSnapshot (`parsed_rendered` when `render.used` is not `none`, else `parsed`): 1. **Author identity & credentials**: is there a visible byline? A `Person` schema with `name`, `jobTitle`, `knowsAbout`, and `sameAs[]` (LinkedIn/Wikidata)? Does the byline link to an author/bio page? Are credentials/experience stated, not just a name? 2. **Organization trust**: discoverable About and Contact pages; an `Organization` block with `name`, `url`, `logo`, `contactPoint`, `sameAs[]`; visible editorial/privacy/returns policies appropriate to the vertical. 3. **Experience & expertise markers**: first-hand signals (original photos, "we tested", dates, methodology) and topical depth — not just generic prose. 4. **Transparency**: sourcing/citations for claims, author disclosures (affiliate, sponsored, AI-assisted), last-reviewed dates. Defer the `sameAs` identity-graph detail to M6/seo-entity-linking.
Emit findings per `schema/finding.schema.json`; axis `both`. **Severity policy**: 5 is reserved for catastrophic, eligibility-killing facts at site/template scope; 4 major · 3 moderate · 2 minor · 1 cosmetic · 0 informational — and only an `established` severity-5 `fail` in an active category can cap a score (`references/scoring-model.md`). Examples:
Each finding: `evidence.observed` quotes what is on the page; `verification.reproduce` is the runnable command above; `expected_impact` is banded + confidence-tagged (no naked %).
The SEO + AI-search (GEO/AEO) optimization toolkit for Claude Code — two-score audit + opt-in fixer. Built for 2026-2027.
Repo: Hainrixz/claude-seo-ai
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,…
Compare a site against its own baseline, against a staging deployment, against up to four competitors, or against the pages that already answer a query…
Opt-in fixer (the /claude-seo-ai:fix command). Applies the safe, deterministic SEO/AI-search fixes from a persisted audit to the user's site — meta…
Analyze and score only a page's AI-search visibility (GEO/AEO) — answer extractability, fact density, AI-crawler access and Google AI-feature snippet…
Recompute and display the two scores (Search SEO + AI Visibility) from a persisted audit run, without re-crawling. Use to re-show or refresh the scores after…
Audit how well a page can be operated by AI agents and agentic browsers — semantic interactive controls (<button>/<a href> instead of div/span click handlers),…