Question 1

What are the 22 AEO criteria?

Accepted Answer

The 22 criteria are organized into 4 dimensions. CONTENT (7 criteria) - is your content worth citing? Q&A Content Format, FAQ Sections, Original Data, Content Freshness, Definition Patterns, Direct Answer Paragraphs, Fact Density. STRUCTURE (5) - can machines parse it? Schema.org Structured Data, Clean Crawlable HTML, Semantic HTML5, Sitemap Completeness, Schema Coverage. DISCOVERY (5) - can AI engines find you? llms.txt, robots.txt for AI Crawlers, Internal Linking, Sitemap Completeness, RSS Feed. TRUST SIGNALS (5) - can AI verify your credibility? Entity Authority, Content Licensing, Author Schema, Canonical URL, Content Velocity. Each is scored 0–10, weighted, and rolled up to a total out of 100.

Question 2

What does the RSS feed audit check?

Accepted Answer

The audit verifies your site has a discoverable RSS or Atom feed with proper metadata. It checks feed existence at common paths, a link tag in the HTML head, adequate item count, and pubDate per item. RSS feeds let AI indexing systems detect new content automatically without waiting for a full crawl.

Question 3

How does the technical audit check sitemap completeness?

Accepted Answer

The audit compares URLs in your sitemap.xml against pages discovered by crawling. It checks for missing URLs, stale lastmod timestamps that don't reflect actual changes, incorrect priority values, and orphaned entries pointing to deleted pages. A complete, accurate sitemap ensures AI crawlers discover every page you want indexed.

Question 4

How does canonical URL strategy affect AI visibility?

Accepted Answer

When multiple URLs serve the same content — with/without www, HTTP/HTTPS, trailing slashes — AI crawlers split signals across duplicates. The audit checks every page for a rel=canonical link pointing to the correct URL. Missing or conflicting canonicals confuse crawlers about which version to index, diluting your AI visibility.

Question 5

What content licensing signals does the audit check?

Accepted Answer

The audit looks for machine-readable licensing metadata: CreativeWork license properties in JSON-LD, meta tags indicating reuse policy, copyright notices, ai.txt declarations, and TDM Reservation Protocol headers. Clear licensing tells AI systems whether they can quote or reference your content in their answers.

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