This tool scores how well a piece of content is structured for generative AI systems — the ChatGPTs and Perplexities that need to extract, summarize, and cite your content rather than just rank it. Paste text (plain, Markdown, or HTML) or point it at a live URL, and get a 0-100 score with a check-by-check breakdown.
Why it matters for AI search: analyses of pages cited by AI assistants consistently show that structured content — direct answers up top, scannable lists and tables, question-format headings — earns on the order of 30-40% better AI visibility than equivalent content written as continuous prose. The reason is mechanical, not mysterious: when a model assembles an answer, content whose structure already matches the shape of the question ("what is X" → definition paragraph; "how do I X" → numbered steps) requires less transformation and carries less risk of misquoting, so it's the safer content to cite.
How this tool works: the analyzer runs seven heuristic checks: (1) whether your opening paragraph reads as a direct answer — long enough to be substantive, short enough to be quotable, and free of scene-setting openers like "In today's world..."; (2) heading density relative to word count; (3) whether any headings are phrased as questions, matching how users prompt AI assistants; (4) list and table usage; (5) presence of concrete numbers and statistics, which make claims citable; (6) overall depth of at least 300 words; and (7) paragraph scannability, flagging walls of text over ~900 characters. Checks are weighted — answer-first structure and list/table density count double — and combined into a letter grade. The stats bar also shows raw counts (words, headings, list items, tables, numeric values) so you can see exactly what the checks saw.
Limitations: every check here is a structural heuristic — the tool can't judge whether your answer is actually correct, well-written, or relevant to the query you're targeting, and a perfect structure score won't rescue thin or inaccurate content. The URL mode analyzes server-rendered HTML only, so content injected by client-side JavaScript won't be counted. Use this tool as a fast structural pre-flight before publishing, alongside the broader AI-Readiness Audit which covers the site-level signals (llms.txt, robots.txt, schema) this tool deliberately leaves out.