Moderate AI visibility with 15 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
cekura.ai shows solid technical foundations for AEO, with strong crawlability, good structured data coverage, and active publishing signals across the sitemap. The site already supports extractability through substantial on-page content, direct-answer patterns, and a healthy internal link structure. The biggest readiness gaps are missing machine-facing governance files and discovery signals: `/llms.txt` (404), no `ai.txt`, no canonical tags, and no RSS/Atom feed. Closing these gaps and tightening FAQ/freshness/schema depth would materially improve citation likelihood in AI answer 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.
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.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
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.
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