Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
openroll.com has a workable technical foundation for discoverability, but its AEO readiness is currently low (overall score: 31) because core machine-readable signals are missing. The site benefits from HTTPS, a valid canonical setup, and strong quantitative content density (165 data points), yet it lacks foundational AI-facing assets like `llms.txt` (404), JSON-LD schema (0 blocks), and `ai.txt`. Crawl guidance and freshness signaling are also incomplete, with no explicit AI crawler directives, only 9 sitemap URLs, and no `lastmod` dates. In short, Openroll has content substance but needs structural AEO implementation before AI engines can reliably parse, trust, and cite it.
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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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