Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
rollstack.com shows a workable technical base for AEO but is currently underprepared for AI retrieval, with an overall score of 33. The site is crawlable over HTTPS, has strong factual density (17 quantitative data points), and solid internal linking (174 internal links), but core machine-readable signals are missing. There is no llms.txt (404), no JSON-LD schema blocks, no FAQ footprint, and no RSS/Atom feed, which significantly limits discoverability and extractability for AI engines.
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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.
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.
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