Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
cranston.ai has a technically crawlable foundation (HTTPS enabled, substantial indexable text, and semantic navigation/footer usage), but it is not AEO-ready in its current state. Core machine-readable infrastructure is missing: `llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), canonical tags, and any JSON-LD schema blocks (`schema_block_count: 0`). Content depth exists, including quantitative claims and tables, but extraction patterns are weak with only 1 question heading, no definition patterns, and no dedicated FAQ endpoint (`/faq` returns 404). The result is a site with solid raw content but low AI citation readiness due to missing discoverability and structured context layers.
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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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
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