Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
trainy.ai has low AEO readiness with an overall score of 23/100, driven by foundational technical gaps rather than lack of content volume. Critical discovery and machine-interpretation assets are missing, including llms.txt (0), sitemap completeness (0), canonical URL strategy (0), RSS/Atom feed (0), and schema coverage depth (0). The site shows partial strengths like internal linking (4), semantic/accessibility structure (6), and entity signals (5), but these are not reinforced by JSON-LD, FAQ schema, or freshness metadata. In its current state, AI systems can read parts of the content, but indexing confidence and citation likelihood remain constrained.
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.
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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