Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
mentraglass.com has a usable AEO foundation, but it is not yet AI-search ready at a technical level (overall score: 44). The site shows strong crawlable content signals, including 10 question-format headings, 34 internal links, substantial homepage text (13,855 characters), and working HTTPS with accessible text content. However, critical machine-readability layers are missing: no valid `/llms.txt`, no JSON-LD blocks (`schema_block_count: 0`, `schema_types_found: []`), no canonical tag, no RSS/Atom feed, and no `ai.txt`. Visibility can improve quickly by adding structured metadata, AI crawler guidance, and freshness/licensing signals that LLM systems use for trust and citation.
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Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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