What does this tool do?
Paste any article, blog post, or landing page and get a score out of 100 that tells you how likely AI systems are to cite it. The score breaks down across 11 specific signals — credibility, depth, and structure — with a separate rating for ChatGPT, Perplexity, and Gemini so you know exactly where to focus.
How to use it
1. Paste your content — Copy the full text of your page into the text area. Raw text is fine — no need to clean up formatting. The more complete the content, the more accurate the score.
2. Read your score — The number out of 100 tells you how well your content matches what AI models look for when choosing sources. Above 85 is strong. Below 65 means there are gaps worth fixing.
3. Check the platform breakdown — ChatGPT, Perplexity, and Gemini weight signals differently. Perplexity favors freshness and citations. ChatGPT favors clear definitions and named authors. Gemini prioritizes entities and original data. The per-platform scores tell you where to focus based on which AI matters most to your audience.
4. Click any criterion to see the fix — Every row in the breakdown is expandable. Tap it to see a specific recommendation — not just what’s missing, but exactly how to add it.
5. Use the FAQ schema tab — If your content has questions followed by direct answers, the tool detects them automatically and generates JSON-LD FAQ schema you can paste straight into your page’s <head>. FAQ schema improves both AI citation odds and featured snippet eligibility.
Why these signals matter
A growing share of search queries now get answered by AI without the user clicking a result. ChatGPT, Perplexity, Gemini, and Google’s AI Overviews pull from existing web content to build their answers — and they don’t cite randomly. They systematically prefer content that is attributed, dated, structured, data-rich, and sourced. The 11 criteria in this tool map directly to those preferences.
The 11 signals scored
Four credibility signals (named author, publication date, external citations, original research), three depth signals (word count, statistics, named entities), and four structure signals (headings and lists, Q&A patterns, clear definitions, direct answer formatting). Each is weighted based on its documented importance in Google’s E-E-A-T framework and published research on how large language models evaluate trustworthiness.
Fastest ways to improve your score
The quickest wins are almost always the same: add a named author, include a specific publication date, and rewrite two or three vague claims as sourced statistics. These alone can move a mid-range score into the top tier.
After that, structure changes have the highest return on time. Adding a few H2 headings, reformatting a paragraph as a list, and opening one section with a direct one-sentence answer are changes that take under ten minutes and consistently push scores up by 10–15 points.
A note on the platform scores
The ChatGPT, Perplexity, and Gemini scores are directional estimates, not precise measurements. No public API exposes exactly how each platform weights citation signals, so these are informed by each platform’s stated priorities and known architecture. Think of them as a useful compass. The overall score is the more reliable number to optimize toward.
Built by Matthis Duarte — senior SEO and AI visibility strategist. If your score reveals gaps you want help closing, that’s exactly what our SEO consulting covers →