Free tool

AI Citability Checker

Score how likely AI systems are to extract and cite your content

Check your AI citability score

Takes ~5 seconds

Checks 16 signals across Answer Readiness, Structure, Extractability, and Credibility.

Generative engine optimization is not about ranking, it is about being the passage a model quotes. AI systems extract specific sentences rather than whole pages, and content that is not structured for extraction loses the citation to a competitor. This checker analyses 16 signals across Answer Readiness, Structure, Extractability and Credibility, and scores how likely your content is to be quoted in an AI answer.

Get per-dimension scores showing exactly where your content falls short for AI citation.
Identify missing answer patterns, structural gaps, and credibility signals.
Receive actionable pass/fail checks based on real extraction patterns used by RAG systems.

How it works

Get started in 3 simple steps

1

Enter any public URL: blog post, article, or landing page.

2

The checker fetches the page and evaluates 16 citability signals across four dimensions.

3

Review per-dimension scores and expand each to see individual check results and fix suggestions.

Best use cases

Built for teams that take AI visibility seriously

1

Content teams optimising blog posts for AI citation before publishing.

2

SEO teams auditing key pages to improve their AI extraction readiness.

3

AEO strategists benchmarking citability across content to prioritise optimisation efforts.

One check is a snapshot. Want to see the trend?

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FAQ

Frequently asked questions

What is AI citability?

AI citability measures how likely your content is to be extracted and cited by AI systems like ChatGPT, Perplexity, and Gemini. Content that is well-structured, answer-ready, and credible scores higher.

What signals does this check?

It checks 16 signals across four dimensions: Answer Readiness (Q&A headings, direct answers, concise paragraphs, summaries), Structure (heading hierarchy, lists/tables, semantic HTML, step content), Extractability (self-contained paragraphs, definition patterns, content depth, paragraph length), and Credibility (author, dates, citations, structured data).

How is this different from the AEO Score Checker?

The AEO Score Checker evaluates general AEO readiness (robots.txt, meta tags, schema presence). The Citability Checker goes deeper into content structure: it checks whether your actual paragraphs, headings, and answers are extractable by RAG (Retrieval-Augmented Generation) systems.

What's a good citability score?

75+ (grade B or A) indicates content well-optimised for AI extraction. Most pages score 30-55 initially. Focus on Answer Readiness first. Question headings with concise answers have the highest impact.

Which pages should I check?

Start with your highest-traffic blog posts and pillar content pages. These have the most to gain from AI citation. Then check landing pages and product pages.

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Turn this score into a trend

Track your AI visibility every week and see what moves it, instead of checking by hand.