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 a page's rendering strategy and JavaScript dependency — diff raw HTML against the rendered DOM to measure how much primary content, links, headings, and JSON-LD exist only after JS executes, classify CSR-only / SSR / SSG / ISR, and emit framework-specific guidance. Module
$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-rendering --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-renderingContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit a page's rendering strategy and JavaScript dependency — diff raw HTML against the rendered DOM to measure how much primary content, links, headings, and JSON-LD exist only after JS executes, classify CSR-only / SSR / SSG / ISR, and emit framework-specific guidance. Module
name: seo-rendering description: Audit a page's rendering strategy and JavaScript dependency — diff raw HTML against the rendered DOM to measure how much primary content, links, headings, and JSON-LD exist only after JS executes, classify CSR-only / SSR / SSG / ISR, and emit framework-specific guidance. Module M4. Feeds both the Search SEO and AI Visibility scores. allowed-tools: Read, Grep, Glob, WebFetch, Bash
Content that only exists after hydration is invisible to any consumer that does not run JavaScript. Google renders JS (documented); most third-party AI crawlers are **reported** not to (directional — see Honesty), so a CSR-only shell is primarily an AI-visibility and crawl-efficiency problem. JS dependency also delays first paint; see `references/cwv-thresholds.md` for how this feeds LCP/INP.
Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` and `parsed_rendered`, plus the `render{needed,signals,used,confidence,hint,delta}` block — the script already computed the raw-vs-rendered delta; `raw_html_path`/`rendered_html_path` name the files on disk; 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`) and the script-computed `render.delta`: 1. **Content delta**: diff `raw_html_path` vs `rendered_html_path` — measure the share of primary text, internal links, headings (h1–h3), and `<script type="application/ld+json">` blocks that appear **only** after JavaScript runs. 2. **Classify the strategy**: CSR-only (empty/near-empty raw shell, content injected client-side) / SSR / SSG (prerendered static) / ISR (prerendered + revalidated). Use raw-HTML completeness and framework signals (`__NEXT_DATA__`, hydration markers, `data-reactroot`, build manifests). 3. **Hydration-blocked text**: primary content present in raw HTML but hidden/empty until hydration, or rendered only into a client-only island. 4. **Lazy-loaded main content**: above-the-fold or primary content that requires scroll/intersection/interaction to load — invisible to a non-interacting crawler. 5. **AI gate**: if the h1, primary body, or JSON-LD exist only in `rendered_html_path`, flag the page as not reliably consumable by non-JS AI crawlers.
Rendering strategy is a framework/architecture decision with high breakage risk, so M4 is **ADVISORY only** — it diagnoses and prioritizes, it never auto-edits build/server code.
Emit findings per `schema/finding.schema.json`. **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 raw-vs-rendered delta on the page; `verification.reproduce` is a runnable `render_diff` assertion; `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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