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 generate Local SEO signals for local-business pages — verify LocalBusiness JSON-LD, NAP consistency, geo coordinates, openingHoursSpecification, and service-area, advise on Google Business Profile alignment, and produce ready-to-inject LocalBusiness JSON-LD. Module M19
$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-local --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-localContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit and generate Local SEO signals for local-business pages — verify LocalBusiness JSON-LD, NAP consistency, geo coordinates, openingHoursSpecification, and service-area, advise on Google Business Profile alignment, and produce ready-to-inject LocalBusiness JSON-LD. Module M19
name: seo-local description: Audit and generate Local SEO signals for local-business pages — verify LocalBusiness JSON-LD, NAP consistency, geo coordinates, openingHoursSpecification, and service-area, advise on Google Business Profile alignment, and produce ready-to-inject LocalBusiness JSON-LD. Module M19 (conditional). Feeds both the Search SEO and AI Visibility scores. allowed-tools: Read, Grep, Glob, WebFetch, Bash
Local pages live and die on consistent, machine-readable place data. **Conditional module**: only runs when the page is classified local-business (storefront, service-area, multi-location, contact/location page). Reference: `references/schema-tier1.md` (LocalBusiness row).
Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` (`jsonld[]`, `text_sample`, `iframes` for maps) and `vertical` from the envelope; 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`), only for local-business pages: 1. **LocalBusiness schema**: a `LocalBusiness` (or correct subtype, e.g. `Restaurant`, `Dentist`) JSON-LD block with required props — `name`, `address` (`PostalAddress`), `telephone`. 2. **NAP consistency**: visible Name / Address / Phone match across the page (header, footer, contact block) and match the schema values — no formatting drift, no stale numbers. 3. **Geo coordinates**: `geo` (`GeoCoordinates` with `latitude`/`longitude`) present and plausible for the stated address. 4. **Opening hours**: `openingHoursSpecification` present, structured (`dayOfWeek`, `opens`, `closes`), and agreeing with any visible hours. 5. **Service-area**: for service-area businesses, `areaServed` declared rather than (or alongside) a `PostalAddress` storefront. 6. **GBP alignment (advisory)**: NAP, categories, and hours should match the Google Business Profile — the tool cannot read GBP, so this is advisory only.
**Never fabricate** an address, phone, coordinates, or hours — ask the user or leave a clearly-marked `TODO` placeholder they fill before injection.
Emit findings per `schema/finding.schema.json`. On a non-local page these are `not_applicable` (severity 0); on local pages severity is 4, 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 the page; `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,…
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