AEO Audit Guide

Learn what a technical AEO audit checks, how to read an AEO score, and which fixes matter most for AI search readiness.

Last updated: June 25, 2026

Short answer

An AEO audit checks whether your website is technically ready for answer engines to crawl, understand, and extract useful answers from your pages.

It is a technical readiness audit. It does not guarantee rankings, citations, traffic, or visibility in any AI search product.

What is an AEO audit?

AEO stands for Answer Engine Optimization. An AEO audit reviews the technical and content signals that help search engines, answer engines, and AI-assisted retrieval systems understand a page. It looks beyond one file or one tag and checks the full readiness foundation.

What an AEO audit checks

  • Technical crawlability: status code, HTML response, title, meta description, canonical, and noindex rules.
  • AI search files: LLMs.txt, LLMs-full.txt, sitemap.xml, robots.txt, and AI crawler access.
  • Structured data: JSON-LD schema types, parse errors, and missing schema opportunities.
  • Answer-ready content: H1/H2/H3 structure, FAQ sections, question headings, short answers, lists, and steps.
  • Entity clarity: brand name, organization schema, og:site_name, and title/H1 consistency.
  • Trust signals: author, published date, modified date, about, contact, privacy, and source links.

Technical AEO checklist

Page returns a successful HTML response

Title, meta description, canonical, and robots tags are clear

LLMs.txt, LLMs-full.txt, sitemap, and robots.txt are accessible where useful

GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, PerplexityBot, Perplexity-User, and Google-Extended rules are understood

JSON-LD schema uses relevant types such as Organization, WebSite, Article, FAQPage, Product, Service, or BreadcrumbList

The page has one clear H1 and useful H2/H3 question sections

Important answers are written in direct, short paragraphs

Entity signals clarify the brand, product, service, author, or publisher

Trust signals include author, date, about, contact, privacy, and source links where relevant

How to prioritize AEO fixes

Start with blockers that prevent a page from being crawled or understood: failed HTTP responses, noindex rules, missing title tags, broken canonical tags, blocked crawlers, and invalid JSON-LD. Then improve answer-ready formatting, schema coverage, entity clarity, and trust signals.

What not to expect

AEO is not AI visibility tracking, citation tracking, or a ranking guarantee. A technical audit helps you find gaps that are worth fixing, but AI search products decide what to crawl, summarize, cite, or rank using systems outside your control.

Run a free AEO audit

Check crawlability, AI crawler access, structured data, answer-ready content, entity clarity, trust signals, and recommended fixes.

Real-world example: Tailscale

Tailscale's documentation site demonstrates strong AEO readiness in production. Every page has: a single H1, descriptive H2 sections, structured FAQ blocks with question headings, JSON-LD Organization and WebSite schema, clear author and date metadata, an accessible LLMs.txt, and explicit AI crawler rules in robots.txt allowing GPTBot and ClaudeBot. Run tailscale.com through the AEO Checker to see how a well-optimized technical docs site scores.

Frequently Asked Questions