Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
flower.ai currently shows low Answer Engine Optimization readiness with an overall score of 31/100, driven by major machine-readability gaps. Core AI discovery signals are missing, including llms.txt (0), Schema.org structured data (0), RSS/Atom feed (0), schema coverage depth (0), and AI permissions/licensing signals (0). While technical foundations like canonical strategy (10), internal linking (8), and clean crawlable HTML (7) are solid, answer extraction signals remain weak, with direct answer paragraphs scoring 1 and content freshness signals scoring 2. In short, the site is crawlable but not yet packaged for consistent AI citation and answer inclusion.
Scoreboard
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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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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