How AI Reads Your Page Structure
Modern AI systems don’t read your website like humans. They parse your HTML skeleton — headings, landmarks, nesting depth, and content boundaries — to decide what to retrieve, how to chunk it, and whether to cite it. If your semantic structure is broken, an LLM cannot segment your content accurately, and your page loses to competitors with cleaner architecture.
This audit analyzes your site the way a RAG system does:
- Whether your heading hierarchy creates a coherent outline or confuses the parser
- Whether your opening content anchors your brand, entity, and value proposition in the AI’s first-pass attention window
- Whether landmarks isolate your content from navigation noise
- How deep your content is buried in non-semantic div wrappers
- What percentage of your HTML is actual content versus code bloat
- Whether your page can be chunked into clean, retrievable semantic units
- Whether your HTML structure matches or contradicts your page’s declared purpose
This is not a traditional SEO audit. This is a Machine Readability diagnostic — an evaluation of how efficiently AI systems can parse, segment, and select your content over a competitor’s.
Start with a free one-page analysis to see your Machine Readability Index and what AI actually sees when it reads your HTML.
Full Site Audit — Semantic HTML Machine Readability
Run the full Semantic HTML machine readability audit across your entire site. Enter your homepage — we auto-detect your site segments. Edit, add, or remove pages before paying.