Content Readiness Checker
Analyze any URL for AI readability: heading structure, direct-answer density, TL;DR presence, list and table usage, FAQ schema, and all the LLM-optimized formatting signals that determine whether AI will cite your content.
Check any URL — results in seconds
About this tool
What is content readiness for AI?
Content readiness for AI means your page is structured so LLMs can easily understand, extract, and cite its content. This includes clear headings that map to sub-questions, lists and tables for structured info, a TL;DR for direct extraction, FAQ sections with Q&A pairs, and sufficient depth to be considered authoritative.
What signals do LLMs use when deciding what to cite?
LLMs look for content that directly answers a question, is clearly attributed to a source, uses structured formatting (headings, lists, tables), is concise enough to quote, and comes from pages that show topical expertise. The more of these signals your content has, the more likely an LLM will cite it.
How long should content be to get cited by AI?
There's no hard minimum, but pages with fewer than 300 words rarely get cited for substantive queries. For competitive topics, aim for 800–2,000 words that fully answers one question. Don't pad — LLMs can distinguish fluff from substance.
Why does FAQ schema help with AI citations?
FAQPage schema (JSON-LD) marks up Q&A pairs in machine-readable format. LLMs can extract these directly, making it easy to cite your exact answer text. It's one of the highest-impact schema types for AI citation potential.
Should every page on my site be optimized for AI?
Focus your effort on pages that answer questions customers ask in your niche — product pages, comparison pages, how-to guides, and FAQ pages. These are the pages LLMs actively look to for answers.