Here's a test. Go to your About page. Now ask: could an AI model read this page and know exactly who founded the company, when, what problem they were solving, and what credentials they bring to it?
For most brands, the answer is no.
The typical About page is a mission statement, some marketing language about values, and a team grid with headshots and job titles. Maybe a founding year buried in the third paragraph. No structured data. No author schema. No verifiable credentials. No links to founder profiles on Crunchbase, LinkedIn, or industry databases.
AI models use About pages to resolve entity clarity -- to confirm that the brand they're reading about is a real, verifiable organization with a real founding story and real people behind it. A vague About page sends the opposite signal.
The brands that get cited most consistently by AI models have About pages that read like a verified record. Named founders. Founding story with a date. Specific credentials and relevant experience. Schema markup that tells crawlers exactly who these people are and where else they can be verified.
This doesn't mean your About page needs to be boring or corporate. It means the human story and the machine-readable signals need to coexist. You can write like a brand and still structure the data like a database.
Your About page is doing two jobs now: connecting with humans and communicating credibility to AI. Most About pages only do the first one.
Check your entity clarity score at engagemii.com/aeo. It's one of the six categories we measure -- and it's one of the most frequently failing ones.
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