Should docs use Article or TechArticle schema?

TechArticle — it exposes fields (dependencies, proficiencyLevel) that AI answer engines use to match queries.

How do I audit versioned docs for AI search?

Canonicalize to /latest for the AI-facing surface, publish TechArticle JSON-LD per doc, and confirm the answer paragraph is in the initial HTML.

Do AI answer engines cite docs more than blog posts?

For developer queries, often yes. Docs are structured, current, and authoritative — the exact E-E-A-T signals AI answer engines prefer.

Audit a documentation site for AI answer engines

Documentation site audits for AI answer engines succeed when the answer paragraph is in the initial HTML, the structured data is valid, and rank tracking watches AI-citation share alongside classic Google rank. Every check below is plain-language and mapped to a real audit-rule outcome.

Aperçu

Ce que cet audit couvre sur Documentation site

Catégorie	Documentation
Exemples d'intentions de recherche	audit documentation site for ai search; docs seo checklist ai overviews; techarticle schema ai answer engines
Conseils sur le suivi du classement	Docs are long-tail heavy. Track "how do I <x>" and "<library> <error>" queries per top-100 docs by traffic. Compare AI citation share against organic rank — AI citation share on docs often leads by weeks.

On-page

Vérifications on-page

Hand-written title + description per doc. Doc frameworks default to the file name. Rewrite every top-level doc with an intent-matching title and description.
One H1 per doc, hierarchical H2 / H3. Docs sites often stack multiple H1s across sections. Enforce a single H1 and hierarchical subheadings.
Descriptive code-fence captions. AI answer engines cite code snippets with their surrounding sentence. Prefix every fence with a caption.

Données structurées

Vérifications des données structurées

TechArticle JSON-LD on every doc. headline, description, dependencies, proficiencyLevel, author (organization or maintainer team).
FAQPage JSON-LD on troubleshooting pages. Troubleshooting pages with Q&A shape ship FAQPage schema; AI answer engines cite them directly.
BreadcrumbList reflecting the site structure. BreadcrumbList JSON-LD on every doc so AI answers cite the section hierarchy.

Moteurs de réponse IA

Préparation aux moteurs de réponse IA

Answer-first opening paragraph. AI models cite the first paragraph. Lead every doc with the plain-language answer to “what does this doc explain”.
Version canonicalization. Docs with /v1, /v2, /latest structures compete with themselves. Canonicalize to /latest for the AI-facing version.
Runnable examples reachable in the initial HTML. Client-only playgrounds hide the example from AI crawlers. Ship a static snippet alongside the playground.

À surveiller

Pièges

Old versions competing for the same query — canonicalize to /latest for the AI-facing surface.
Client-only playgrounds hide the example from AI crawlers.
Auto-generated API reference without a description reads as boilerplate to AI answers — hand-write summaries.

Lancez cet audit avec RankMeFast

RankMeFast exécute chacune des vérifications ci-dessus sur une URL en direct et signale des constats en langage clair mappés aux signaux Perplexity, ChatGPT et Google AI Overview — plus le suivi du classement sur les termes de tête et de longue traîne.

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Dernière mise à jour : juillet 2026

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Questions fréquentes

Tableurs, jargon, suppositions.

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