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 answer-extractable content — verify each question heading is followed by a ~40-60 word direct answer, passages are self-contained (~134-167 words, no unresolved anaphora), and lists/tables/definitions/TL;DR blocks exist; draft answer-block and summary rewrites
$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-geo-answerblocks --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-geo-answerblocksContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit and generate answer-extractable content — verify each question heading is followed by a ~40-60 word direct answer, passages are self-contained (~134-167 words, no unresolved anaphora), and lists/tables/definitions/TL;DR blocks exist; draft answer-block and summary rewrites
name: seo-geo-answerblocks description: Audit and generate answer-extractable content — verify each question heading is followed by a ~40-60 word direct answer, passages are self-contained (~134-167 words, no unresolved anaphora), and lists/tables/definitions/TL;DR blocks exist; draft answer-block and summary rewrites for the user to accept. Module M11. Feeds the AI Visibility score. allowed-tools: Read, Grep, Glob, WebFetch, Bash
AI engines cite passages they can lift whole, without surrounding context — so passage structure is the highest-leverage on-page AI signal. This module checks extractability; for who is allowed to fetch and cite the page, see `references/ai-crawlers.md`.
Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` (`headings[]`, `text_sample`, `word_count`) — passages come from the HTML file, not from a summary; 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. **Heading → direct answer**: for each H2/H3 that reads as a question (or implies one), is the first paragraph a direct, ~40-60 word answer — not a windup ("In this section we'll explore…")? 2. **Self-contained passages**: are top-level passages ~134-167 words and answerable on their own? Flag unresolved anaphora ("as mentioned above", "this", "the latter") that needs prior context to parse. 3. **Structured forms**: presence of lists, comparison tables, and explicit term **definitions** where the content warrants them — these are disproportionately quoted. 4. **Question-shaped headings**: do headings phrase real user questions (how/what/why/when), matching likely prompts? 5. **TL;DR / summary blocks**: an up-front summary or key-takeaways block the engine can extract verbatim. 6. **Semantic completeness**: can each passage answer its heading with zero external context — the strongest single correlate of AI citation, and the heaviest check in this module (it carries the most weight, but it never caps the score — see Findings).
Findings conform to `schema/finding.schema.json`; axis `ai`. **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`). Nothing in M11 is `established`, so nothing here ever caps.
Each finding's `evidence.observed` quotes the page (heading text + first sentence, or the offending clause) and `verification.reproduce` is the runnable command above; `expected_impact` is banded + confidence-tagged with no naked percentage.
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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