Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Healthcare & Patient AdvocacyHealthcare TechnologyVerdict
themangohealth.com scores 12 out of 100 on AEO readiness, placing it in the bottom tier for AI engine visibility. The site lacks HTTPS, structured data, semantic HTML5 elements, and any llms.txt or ai.txt file — meaning AI models like ChatGPT, Perplexity, and Gemini have almost no machine-readable signals to extract or cite. While a dedicated FAQ page exists and 9 quantitative data points were detected on the homepage, these assets are buried behind a robots.txt that disallows all crawlers ('Disallow: /'), effectively blocking every AI and search engine from indexing the site at all.
Top Opportunities10
Fix It With AI22
Score Breakdown
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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.
A page built with <div> everywhere looks the same to AI as a page with no structure at all. Semantic elements -<main>, <article>, <section>, <time> -are the markup that tells AI where your content starts, what it means, and how it's organized.
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