AI Citability Optimizer
See how likely your content is to be cited by AI answer engines — ChatGPT, Perplexity, Gemini and Google AI Overviews — and get the exact fixes to make it more quotable. This is Generative Engine Optimization: being the source an AI quotes in its answer, not just another blue link. Analyse a live URL or paste a draft, and get a grounded score across seven dimensions.
Optimise to be quoted, not just ranked
More and more people get their answer from an AI assistant before they ever reach a list of links. The question that decides whether you're part of that answer isn't "do I rank?" — it's "is my page the one the AI quotes?" The Citability Optimizer measures exactly that. It judges your content the way an answer engine does when it's choosing a source, and tells you what to change so the next answer cites you.
A grounded score across seven dimensions
You get an overall citability score from 0–100, broken into seven dimensions, each scored and explained: answerability (direct, question-led answers), quotability and fact density (self-contained, specific, citable sentences), structure and scannability, structured data, authority and trust, semantic coverage and freshness. Every dimension is anchored in hard signals parsed from the page — headings, paragraph length, schema, dates, author, outbound citations and more — so the score reflects what's actually on the page rather than a guess.
Prioritised, concrete fixes
The fix list is ordered high to low, and every issue tells you why it matters for AI citation and the exact change to make — often with a rewritten snippet drawn from your own content. You'll see fixes like turning key headings into the questions people ask and answering them in the first sentence, adding an FAQ and the schema to match, shortening long paragraphs into extractable chunks, raising fact density with specific numbers and named sources, and adding a named author and a visible date. These are the levers that move the citability needle most.
Find your quotable lines and your gaps
The report surfaces the sentences AI is most likely to quote from your content, and flags the weak, vague claims worth sharpening into something citable. It also lists the entities and subtopics an AI expects to see on your topic but your page is missing — the coverage gaps that quietly keep you out of answers. And it suggests FAQ question-and-answer pairs and the JSON-LD schema types to add, since FAQs and structured data are among the formats AI engines lean on most.
Live URLs or drafts, and saved history
Analyse a page that's already live, or paste a draft to get it right before you publish — add the target topic or question and the analysis tightens around it. Every analysis is saved to your account with its score, so you can reopen it, apply the fixes and re-run to watch the number climb over time. Pair it with the Content Editor to write the page and the AI Visibility tracker to see your brand's actual appearances in AI answers.
How to make a page more citable
1. Analyse a URL or draft
Paste a live URL or your draft, add the target topic or question if you have one, and run the analysis.
2. Read the score and dimensions
See the overall citability score and the seven dimensions, each with its rationale, plus the lines AI is likely to quote and the entity gaps.
3. Apply the prioritised fixes
Work the high-to-low fix list — question-led answers, FAQ and schema, fact density and a clear date — then re-run to track the gain.
Frequently asked questions
What does the AI Citability Optimizer do?
It scores how likely your content is to be cited or quoted by AI answer engines like ChatGPT, Perplexity, Gemini and Google AI Overviews, then gives you the exact fixes to make it more quotable. This is Generative Engine Optimization — being the source an AI quotes, not classic blue-link ranking.
What is the citability score based on?
A 0–100 score across seven dimensions: answerability, quotability and fact density, structure and scannability, structured data, authority and trust, semantic coverage and freshness. Each dimension is grounded in hard signals parsed from your page, so the number reflects what's actually there rather than a guess.
Can I analyse a draft before publishing?
Yes. You can analyse a live URL, or paste a draft to check it before you publish. Either way you get the same score, the prioritised fixes and the quotable-line and entity-gap analysis.
What fixes does it suggest?
A prioritised list, ordered high to low, where every issue explains why it matters for AI citation and the exact change to make — often with a rewritten snippet drawn from your own content. Typical fixes cover question-led headings, FAQ and schema, shorter paragraphs, more specific facts, a named author and a visible date.
How is this different from normal SEO?
Classic SEO optimises to rank in the blue links. This optimises to be the source an AI engine quotes in its answer. The signals overlap but aren't the same — direct answers, quotable facts, structured data and trust matter more when an AI is deciding what to cite.
Does it help with schema and FAQs?
Yes. It tells you which JSON-LD schema types to add — Article and FAQPage where relevant — and suggests citation-friendly FAQ question-and-answer pairs you can drop straight into the page, since FAQs are among the most-quoted formats in AI answers.
Is the AI Citability Optimizer free?
It's available on Starter and above with a daily check limit. Every analysis is saved to your account so you can reopen it and track improvements over time, and reopening a saved analysis is free.
Make your content citable
Analyse a URL or a draft, get a grounded citability score and the exact fixes — then re-run to track the gain.