What is the AI citation readiness score tool?
This free tool analyzes your content and scores it across 11 signals that AI systems like ChatGPT, Perplexity, and Gemini actually use when deciding what to cite. Paste any article, blog post, or landing page and get an instant score out of 100 — broken down by credibility signals, depth signals, and structure signals — along with a separate score for each AI platform.
How to use this tool
1. Paste your content Copy the full text of your page and paste it into the text area. The tool works with raw text — no need to clean up formatting first. The more complete the content, the more accurate the score.
2. Read your overall score and grade The score out of 100 reflects how well your content matches the signals AI models look for when selecting sources to reference. Anything above 85 puts you in the highly citable tier. Below 65 means there are meaningful gaps worth fixing.
3. Check your per-platform scores ChatGPT, Perplexity, and Gemini don’t weight signals identically. Perplexity leans heavily on freshness and external citations. ChatGPT favors clear definitions and attributed authorship. Gemini prioritizes named entities and original research. The platform breakdown tells you where to focus based on which AI matters most to your audience.
4. Click each criterion to see the fix Every criterion in the breakdown is clickable. Tap any row to see a specific, actionable recommendation — not just what’s missing, but exactly how to add it.
5. Use the FAQ schema tab If your content contains questions followed by direct answers, the tool automatically detects them and generates the JSON-LD FAQ schema ready to paste into your page’s <head>. FAQ schema is one of the fastest ways to improve AI citation odds and featured snippet eligibility simultaneously.
Why AI citation signals matter
Search is changing. A growing share of queries now get answered directly by AI — without the user ever clicking a result. ChatGPT, Perplexity, Gemini, and Google’s AI overviews pull from existing web content to construct their answers, and they don’t cite randomly. They systematically prefer content that is attributed, dated, structured, data-rich, and sourced.
Optimizing for these signals is what the SEO industry is starting to call GEO — generative engine optimization. The underlying logic is simple: if your content looks trustworthy to a human editor, it looks trustworthy to an AI model. The 11 criteria in this tool map directly to that standard.
The 11 signals this tool checks
The scoring covers four credibility signals (named author, publication date, external citations, and original research), three depth signals (word count, statistics, and named entities), and four structure signals (headings and lists, question-and-answer patterns, clear definitions, and direct answer formatting). Each signal is weighted based on its documented importance in Google’s E-E-A-T framework and published research on how large language models evaluate content trustworthiness.
How to improve your AI citation score
The fastest wins are almost always the same three things: adding a named author, including at least one specific publication date, and rewriting at least two or three vague claims as sourced statistics. These alone can move a mid-range score into the highly citable tier.
After that, the structure signals tend to have the highest impact per hour of work. Adding two or three H2 headings, reformatting a paragraph as a bulleted 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 to 15 points.
A note on the per-platform scores
The ChatGPT, Perplexity, and Gemini scores are directional indicators, not scientifically measured outputs. No public API exists that exposes how each platform weights citation signals, so these scores are informed estimates based on each platform’s publicly stated priorities and known architecture.
Perplexity is built as a real-time answer engine and explicitly prioritizes fresh, sourced content — so date and citation signals are weighted higher. ChatGPT in browsing mode is optimized for accurate, quotable answers — so authorship and definitional clarity carry more weight. Gemini is built on top of Google’s Knowledge Graph infrastructure — so named entities and original data signals are weighted higher.
Think of the platform breakdown as a useful compass, not a precise measurement. The overall score is the more reliable number to optimize toward.