Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
qualgent.ai has a strong technical foundation in a few areas, but overall AEO readiness is low at 18 due to major discoverability and machine-understanding gaps. What works: HTTPS is active, canonical strategy is solid (self-referencing HTTPS canonical), robots.txt is reachable with a sitemap reference, and the sitemap contains 33 URLs. What is missing is foundational for AI engines: no llms.txt (404), no JSON-LD schema (0 blocks, 0 types), no direct Q&A formatting, no dedicated /faq page (404), and no RSS/Atom feed. The site also has limited internal link architecture (8 internal links), no freshness metadata, and no explicit AI crawler directives.
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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.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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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