# AI Search Readiness Checker

> Agent-friendly Markdown of https://www.buildseo.org/free-tools/ai-search-readiness-checker — full index for AI agents: https://www.buildseo.org/llms.txt

See how ready a page is to be cited by AI search engines.

## How it works

Enter a URL and the checker audits seven weighted signals that decide whether AI search engines can find, read, and cite the page: server-rendered text (most AI crawlers don't execute JavaScript), an llms.txt index, a markdown twin of the page, JSON-LD structured data, clean heading structure, robots.txt access for GPTBot, ClaudeBot, and PerplexityBot, and a canonical URL.

Each signal earns its weight toward a 0-100 score with an A-F grade, and every dropped point comes with the specific fix that recovers it.

The scorecard and per-signal findings download as CSV or JSON, free and instant.

## Frequently asked questions

### Why does server-rendered content weigh so much?
Because most AI crawlers fetch your HTML and read the text in it — no JavaScript execution. If your content only exists after client-side rendering, AI search engines see an empty shell, and nothing else on this checklist can compensate.

### Which AI crawlers does the robots.txt check cover?
GPTBot (OpenAI), ClaudeBot (Anthropic), and PerplexityBot — the crawlers behind the major AI answer engines. Blocking them in robots.txt is a legitimate choice, but it means those engines can't cite you, so the checker treats it as lost readiness.

### What are markdown twins and llms.txt?
A .md twin is a clean markdown version of a page served alongside the HTML; llms.txt is a root-level index pointing agents at those twins. Together they let AI agents consume your content without parsing your page chrome — the core of the AFDocs standard our hero checker scores in full.

## Ready for AI search. Now get cited.

BuildSEO AI builds the authority that AI answers draw from — verified backlinks with evidence.

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