SEO for AI AgentsSEO for documentation and help centres
Docs are the strongest AEO asset most products have: they're exactly what AI answer engines retrieve and cite. The irony is that many docs frameworks are client-rendered SPAs, invisible to the very crawlers that want them most. The pack gets docs reachable, clear, and answer-shaped.
The Visibility Ladder, tuned
Where sites like this actually fail
Same five rungs, same order, different emphasis. Diagnose top to bottom, fix bottom to top.
Many docs frameworks are SPAs whose search and versioning UIs hide content from crawlers. The pack confirms doc content is in the served HTML.
Accurate, complete, well-structured content with clear headings, code blocks, and definitions. Docs live or die on clarity and correctness.
TechArticle where appropriate and breadcrumbs. Docs are often lighter on schema than other site types; clarity matters more.
A logical tree, previous and next links, related pages, and one clear canonical per page. No orphans, no duplicate versions competing.
Accurate, current content that matches the task the reader actually has.
The headline rung for docs. Question and task-shaped headings, self-contained answers, copy-pasteable code, and honest modification dates are what get quoted by AI engines.
Priority tilt: Weight Reach first (is it even served?), then the AEO layer and Read. Docs are the strongest AEO asset most products have.
Checks specific to this kind of site
Docs SPA rendering
The most common docs failure: content hidden behind client-side rendering. Verified on the served HTML, not the source.
Version canonicals
Canonical to the current stable version, with old versions noindexed or canonicalised deliberately so they don't outrank current docs.
Anchor-linkable sections
Stable heading anchors so engines and AI answers can deep-link into the exact section.
Real code blocks
Code as language-tagged text in the served HTML, never as images.
Skills that do the work
- seo-orchestratorApplies the documentation profile and runs the audit
- 1-reach-indexationConfirms doc content survives rendering into the served HTML
- 4-connect-architectureTree structure, version canonicals, and related-page linking
- cite-aeo-geoAnswer-shaped formatting: the reason docs get cited
Driven by the documentation profile in the pack.
Structured data it works with
- TechArticle / Article
- BreadcrumbList
- FAQPage (genuine Q&As)
Always honest: markup describes only what's real and visible on the page. Fabricated ratings, authors, or credentials are removed and flagged, never added.
Try it on your site
Paste this into Claude Code, Cursor, or any AI coding agent. It's read-only: the agent audits and reports, and changes nothing until you ask.
Use the seo-for-ai-agents skill pack (https://github.com/manibharij/seo-for-ai-agents) with the documentation profile: audit my docs site on the served HTML. Check content survives client-side rendering, review version canonicals and information architecture, and assess whether pages are answer-shaped enough to be cited. Report only, don't change any code or files yet.
Common questions
Why would AI assistants cite my docs?
Because documentation is exactly what answer engines retrieve: precise, task-shaped, authoritative content about your product. When a developer asks an AI 'how do I authenticate with X', the engine wants to quote your docs. That only works if the content is in the served HTML, clearly structured, and self-contained enough to extract.
We have docs for several versions. Which should be indexable?
The current stable version, canonically. Old versions should either be noindexed or canonicalise to current, chosen deliberately, so they don't compete for the same queries or strand readers on outdated instructions. The pack reviews the version strategy and applies it consistently.
Does FAQ schema still give rich results?
No. Google retired FAQ rich results entirely in May 2026, after restricting them to government and health sites since 2023. FAQPage markup is still valid and still worth having where the Q&As are genuine, because the value now is clarity and AEO extraction rather than a special result in the SERP.