AEO Checklist 2026

27 checks for
AI citation readiness.

Use this checklist to audit any page for AEO (Answer Engine Optimization) readiness across ChatGPT, Claude, Gemini, and Perplexity. 27 checks across 6 categories, or run CiteRank to do it automatically in 10 seconds.

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01. AI Crawler Access

Highest impact

If AI crawlers are blocked, nothing else matters. Check your robots.txt at yourdomain.com/robots.txt.

GPTBot is allowed (ChatGPT)

User-agent: GPTBot
Allow: /

ClaudeBot is allowed (Anthropic Claude)

User-agent: ClaudeBot
Allow: /

PerplexityBot is allowed (Perplexity)

User-agent: PerplexityBot
Allow: /

Google-Extended is allowed (Gemini / AI Overviews)

User-agent: Google-Extended
Allow: /

No wildcard Disallow: / that accidentally blocks all bots

02. Schema Markup

Highest impact

Schema.org markup is the most direct signal you can give AI engines. Add JSON-LD to your HTML head.

Organization schema on homepage (name, url, description, contactPoint)

FAQPage schema on any page with Q&A content

Article or BlogPosting schema on all blog posts

Person schema for all content authors (with url pointing to bio)

BreadcrumbList schema on inner pages

HowTo schema on step-by-step guide pages

03. E-E-A-T Signals

High impact

AI engines cite sources they can attribute to real people with verifiable expertise.

Named author on every piece of content (not "The Team")

Author bio page or section with real credentials

/about page explaining who is behind the site

Contact information (email, form, or address)

External citations in key content: links to authoritative sources

llms.txt file at /llms.txt summarising site content for AI

04. Content Structure

High impact

AI engines extract passages, not pages. Each section should work as a self-contained, citable answer.

Single clear H1 on every page

H2/H3 headings phrased as questions or direct topics

Paragraphs under 150 words

At least one definition-first sentence ("X is the practice of...")

Minimum 300 words on key pages (thin pages are rarely cited)

No keyword stuffing: conversational, natural language

05. Meta Tags

Medium impact

Meta tags are used by AI engines to understand page topic before reading content.

Unique title tag on every page, under 60 characters

Meta description 120-160 characters, summarises direct answer

Canonical URL on every page

Open Graph tags (og:title, og:description, og:image)

06. Technical Readiness

Medium impact

Technical issues can prevent AI crawlers from indexing your content regardless of how good it is.

HTTPS everywhere: no mixed content warnings

XML sitemap at /sitemap.xml, submitted to Google Search Console

Page load under 3 seconds (check with PageSpeed Insights)

No broken links on key pages

How AI engines read the web

Answer engines reach the open web through dedicated crawlers. According to each provider's documentation, OpenAI's GPTBot, Anthropic's ClaudeBot, Google-Extended, and PerplexityBot all respect robots.txt directives.

These engines lean heavily on Schema.org structured data, the vocabulary backed by Google, Microsoft, Yahoo, and Yandex. GPTBot and Google-Extended both launched in 2023, and the share of research queries that begin inside an AI assistant has climbed every quarter since.

According to Google's own documentation, structured data helps machines understand what a page is about. Research on AI answer quality shows that pages with a clear heading hierarchy, direct definitions, named authorship, and outbound citations to authoritative sources are quoted far more often than thin or anonymous pages. The data shows the same pattern across all four major engines: clarity and provenance beat keyword density.

Last updated .

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