Strong AI visibility with 43 of 48 criteria passing. Biggest gap: content publishing velocity.
Healthcare & Patient AdvocacyHealthcare TechnologyVerdict
Moderate AEO readiness at 73/100 with significant gaps to address. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Content Publishing Velocity, Extraction Friction Score, and Page Speed: Page Size.
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Guides for the criteria with the most room for improvement
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
Your content is brilliant. AI can't read it. Sentences averaging 35 words, jargon-packed leads, and hidden content behind toggles create friction that makes AI skip you for a simpler source. Extraction Friction measures how hard AI has to work to pull answers from your pages.
You say "Mercury" on your homepage. The planet? The element? The banking startup? AI doesn't know - and when it can't tell, it doesn't cite. Entity disambiguation is how you draw clear lines around what your business is and isn't.
AI can't see your images. It reads the markup around them. A product photo with alt="image1.jpg" tells AI nothing. A figure with a descriptive figcaption and 8-word alt text tells AI exactly what it's looking at - and that context feeds directly into citation decisions.
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