Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
traceloop.com currently scores 28/100, indicating low AEO readiness despite solid technical crawlability signals. The site performs well on foundational HTML hygiene (9/10) and internal linking (7/10), but critical machine-readable discovery layers are missing, including llms.txt (0/10), schema.org structured data (0/10), canonical tags (0/10), and RSS/Atom feeds (0/10). Content is present, but extraction quality is weak: direct answer paragraphs (2/10), definition patterns (0/10), and FAQ coverage (0/10) are insufficient for reliable AI summarization. With 152 sitemap URLs and HTTPS in place, the domain has a strong base to improve quickly if structured data, answer formatting, and freshness signals are prioritized.
Scoreboard
Fix It With AI
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Top Opportunities
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.
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.
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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