Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Ubicloud has a solid crawl foundation (HTTPS enabled, robots.txt and sitemap returning 200, and 41 internal links) but is not yet AEO-ready at scale. Core machine-readable signals are missing: no `llms.txt` (404), no JSON-LD schema blocks, no canonical tags, no FAQ endpoint (`/faq` returns 404), and no RSS/Atom feed. Content is indexable but weakly extractable for AI systems, with only 1 question heading, 1 optimal direct-answer paragraph, and zero tables/lists/definition patterns. The current state supports discovery, but not strong AI citation confidence or entity clarity.
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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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