Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
zephyrfusion.com has a technically crawlable foundation, but it is not yet AEO-ready at scale. Core discoverability signals are missing: `llms.txt` returns 404, `faq` returns 404, `ai.txt` is absent, and no JSON-LD schema blocks are present. The site does perform well on baseline technical hygiene (HTTPS, self-referencing canonical, semantic elements, strong text accessibility), but weak internal linking (2 internal links) and limited sitemap depth (1 URL, no `lastmod`) constrain AI retrieval and citation potential. In short, the current stack supports indexing, but not strong machine understanding or answer-surface eligibility.
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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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