Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
trytaylor.ai currently has low AEO readiness with an overall score of 11/100, driven by 16 of 22 criteria scoring 0. The site has a technically solid HTML foundation (9/10 for clean crawlable HTML) but lacks most machine-readable discovery and trust signals, including missing llms.txt (404), robots.txt (404), sitemap.xml (404), and all JSON-LD schema coverage (0 blocks found). Content is not answer-engine friendly yet, with no FAQ page, no direct answer patterns, and no extractable lists or tables. In its current state, AI systems have very limited structure to parse, attribute, and confidently cite.
Scoreboard
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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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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