Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
zerodev.app is currently underprepared for AI search discovery, with an overall AEO score of 20/100 and multiple foundational gaps. Core machine-consumable signals are missing, including llms.txt (404), sitemap.xml (404), canonical tags, and all JSON-LD structured data (0 schema blocks). Content has partial crawlability strengths (HTTPS and 35 internal links), but answer extraction is weak: 0 direct answer paragraphs, no list/table structures, and only 2 question-style headings. The fastest path to improvement is to add technical indexing assets and restructure key pages into explicit question-answer and entity-rich formats.
Scoreboard
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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.
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.
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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