Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
hona.com has a low AEO readiness score of 35/100, with major machine-consumption gaps despite solid crawlability fundamentals. Core blockers include missing `llms.txt` (0), no structured data or schema coverage (0 and 0), and no RSS/Atom feed (0), which limits discoverability and answer eligibility in AI systems. The site does show useful strengths such as clean HTTPS delivery (7), strong fact density (8 with 27 data points), and good internal linking (7 with 69 internal links), but these are not yet packaged in AI-friendly formats. In short, the content foundation exists, but technical AEO signals are too weak to compete consistently in AI-generated answers.
Scoreboard
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Improve Your Score
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.
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.
AI engines don't read your article top to bottom. They scan headings, grab the first 1-2 sentences underneath, and move on. If those sentences are throat-clearing preamble instead of a direct answer - you just lost a citation to someone who leads with the point.
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