AI agents consume content differently
Unlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.
That's our own score, measured live by the check you're about to run — the signed certificate is one click away. Not even the AI companies pass it: openai.com scores 54, claude.ai scores 60.
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Every score on this site comes from this table. The weights are published, not hidden.
| Dimension | Weight | Checks |
|---|---|---|
| Accessibility Content availability without JavaScript, page size, and content position in HTML | 30% | 3 |
| AI Discoverability llms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers | 25% | 6 |
| Structured Data Schema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute | 20% | 5 |
| Semantic HTML Proper use of article, main, headings, semantic elements, and image alt texts | 15% | 5 |
| Content Efficiency Token reduction ratio, content-to-noise ratio, inline style usage, and page weight | 10% | 4 |
| AgentReady.md | 100% |
AI agents are the new browsers. Prepare your content for the next wave of web traffic.
Unlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.
Just like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.
The llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.
Schema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.
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