Weak AI visibility with 11 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
morphllm.com currently scores 49/100, which indicates partial AEO readiness with strong technical foundations but major AI-discovery gaps. The site is structurally solid (10/10 clean crawlable HTML, 10/10 semantic HTML, 10/10 fact/data density, 10/10 canonical strategy), yet critical machine-readable signals are missing, including llms.txt (0/10), schema coverage depth (0/10), and RSS/Atom feeds (0/10). Discovery and freshness signaling are also constrained by missing robots.txt controls (2/10), weak publishing velocity signals (3/10), and no FAQ schema despite on-page FAQ content (2/10). The fastest path to higher AI visibility is to add explicit AI crawler guidance and structured data while converting existing strong content into answer-native formats.
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.
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 don't read your article top to bottom. They scan headings, grab the first 1-2 sentences underneath, and move on. If those sentences are throat-clearing preamble instead of a direct answer - you just lost a citation to someone who leads with the point.
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