Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
oxus-ai.com has a technically crawlable foundation (HTTPS enabled, semantic elements like main/nav/footer/section, and 7,214 characters of indexable homepage text), but overall AEO readiness is low at 22 due to major discoverability and citation gaps. Core machine-discovery files are missing: /llms.txt, /robots.txt, and /sitemap.xml all return HTTP 404, and there is no RSS/Atom feed. Structured data is minimal (1 JSON-LD block, type: website only), with no Organization, Person, FAQPage, canonical tag, or freshness/date markup. The site can be improved quickly, but it currently lacks the structured signals AI engines use for trust, attribution, and retrieval.
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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.
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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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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