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.

Overview

What this audit covers on Documentation site

CategoryDocumentation
Sample search intentsaudit documentation site for ai search; docs seo checklist ai overviews; techarticle schema ai answer engines
Rank tracking guidanceDocs 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

On-page checks

  1. 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.
  2. One H1 per doc, hierarchical H2 / H3. Docs sites often stack multiple H1s across sections. Enforce a single H1 and hierarchical subheadings.
  3. Descriptive code-fence captions. AI answer engines cite code snippets with their surrounding sentence. Prefix every fence with a caption.
Structured data

Structured data checks

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

AI-answer-engine readiness

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

Gotchas

  • 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.

Run this audit with Skrybo

Skrybo runs every check above against a live URL and reports plain-language findings mapped to Perplexity, ChatGPT, and Google AI Overview signals — plus rank tracking on the head + long-tail terms.

Last updated: July 2026

Frequently asked questions