Weak AI visibility with 5 of 23 criteria passing. Biggest gap: llms.txt file.
E-commerceE-commerce PlatformsVerdict
tryeden.ai scores 18 out of 100 on AEO readiness, placing it in the bottom tier for AI engine discoverability. Eleven of 23 audited criteria scored a flat zero — including Schema.org structured data, llms.txt, FAQ content, and direct-answer formatting — meaning the site is nearly invisible to LLM-based answer engines. The two bright spots are a strong canonical URL strategy (10/10) and high fact density with 79 quantitative data points on the homepage (8/10), but without structured markup or semantic HTML to frame that data, AI crawlers have no reliable way to parse or cite it.
Top Opportunities10
Fix It With AI22
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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 assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
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