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 fix image & media accessibility for a page — detect missing/empty/duplicated/keyword-stuffed alt text, check alt quality and length, missing width/height (CLS), legacy formats, and absent VideoObject schema; generate contextual alt and dimensions. Module M9. Feeds both
$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-images-media --agent claude-codeHow it fires
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/seo-images-mediaContext preview
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Audit and fix image & media accessibility for a page — detect missing/empty/duplicated/keyword-stuffed alt text, check alt quality and length, missing width/height (CLS), legacy formats, and absent VideoObject schema; generate contextual alt and dimensions. Module M9. Feeds both
name: seo-images-media description: Audit and fix image & media accessibility for a page — detect missing/empty/duplicated/keyword-stuffed alt text, check alt quality and length, missing width/height (CLS), legacy formats, and absent VideoObject schema; generate contextual alt and dimensions. Module M9. Feeds both the Search SEO and AI Visibility scores. allowed-tools: Read, Grep, Glob, WebFetch, Bash
Accessible, well-described media is read by both ranking systems and AI extractors — alt text is the primary semantic handle for an image. Reference: `references/schema-tier1.md` (VideoObject row).
Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` (`images[]` with `alt_present`/`sized`/`lazy`, `iframes`, `jsonld[]`); 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. **Alt presence**: every content `<img>` has an `alt` attribute. Distinguish decorative images (`alt=""` + `role="presentation"` is correct, not a finding) from missing `alt` entirely (fail). 2. **Alt quality**: not empty on a content image; not the filename (`IMG_2031.jpg`); not duplicated verbatim across distinct images; not keyword-stuffed (comma-separated keyword lists are an anti-pattern). Alt should be descriptive and contextual to surrounding content. Target length ~80-140 chars — long enough to be specific, short enough that screen readers/AI don't truncate. 3. **Dimensions**: `width` and `height` set on `<img>` (or aspect-ratio reserved in CSS) to prevent layout shift (CLS, a Core Web Vitals input — defer the CWV measurement itself to the perf module). 4. **Format**: flag legacy `jpg`/`png` where a modern format (WebP/AVIF) or a responsive `<picture>`/`srcset` would serve smaller bytes. 5. **Video**: embedded video (`<video>`, YouTube/Vimeo iframe) without `VideoObject` JSON-LD — coordinate with M5; required/recommended props in `references/schema-tier1.md`.
Emit findings per `schema/finding.schema.json`; axis `both`; severity 3 across the module. **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 M9 reaches 4.
Each finding: `evidence.observed` quotes the page; `verification.reproduce` is runnable, e.g. `node "${CLAUDE_PLUGIN_ROOT}/scripts/parse-html.mjs" --snapshot <pages/<slug>.json>` (or `--url <u>`) then inspect the `images` block (`missing_alt`, `empty_alt`, `missing_dimensions`). `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
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