How Your About Page Affects AI Citations — E-E-A-T, Entity Recognition, and What to Fix

Your About page is one of the first things AI models and Google's Quality Raters look at when they're deciding whether your brand is credible. Per Google's Search Quality Evaluator Guidelines, "Most websites have an 'About' or 'About Us' page with information about the website" - and raters are explicitly told to go read it when judging E-E-A-T. It is not a throwaway page, even though most brands treat it like one.

AI systems do the same thing, just algorithmically. When ChatGPT, Perplexity, or Google AI Overviews weigh whether to cite you, they cross-reference the entity information on your About page against their training data. If that page is vague, they can't verify who you are - and from what I've seen, unverifiable brands get quietly deprioritized. Nobody tells you it happened.

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What AI models extract from your About page

Retrieval systems read About pages for structured entity signals:

• Named people - founder names, titles, roles. A named founder with a verifiable LinkedIn profile is a cross-referenceable entity. "Founded by our passionate team" is nothing the model can check.
• Founding date and history - "Founded in 2019" is a concrete fact. "We've been around for years" is not.
• Team size and scale - "47 employees across 3 offices" is citable. "A growing team" is filler.
• Customer metrics - "Serving 12,000+ e-commerce stores" gives the AI a specific claim. "Trusted by many businesses" gives it nothing.
• Awards and recognition - named awards with dates and issuing organizations are verifiable entities.

Notice the pattern in every pair above: the specific version is an entity, the vague version is air. The AI rewards the entity every time.

E-E-A-T signals on your About page

Google's E-E-A-T framework - Experience, Expertise, Authoritativeness, Trustworthiness - maps almost line-for-line onto About page content:

• Experience: show real work. Customer case studies, portfolio items, "we've processed 2M+ orders" - that demonstrates actual experience, not claimed experience.
• Expertise: team credentials plus named expert quotes with title and organization. "Dr. Sarah Chen, PhD in Materials Science" beats "our expert team" every time.
• Authoritativeness: third-party validation through outbound source citations. Link to press, awards, industry recognition - borrowed authority, not self-proclaimed authority.
• Trustworthiness: transparency. Physical address, contact info, a founding story with dates. Pages with author attribution are 3x more likely to surface in AI answers (Convertmate GEO Benchmark 2026).

Brand claims: positioning your brand for AI

AI models cite brands they can categorize cleanly. Make the categorization easy for them - put explicit positioning statements on the page:

• Market position: "The leading AI search visibility tool for e-commerce" - a clear category claim
• Differentiators: "The only GEO platform with built-in content optimization for Shopify" - specific, verifiable
• Awards: "Named Best AI SEO Tool 2025 by Search Engine Journal" - third-party validation with a date
• Firsts: "First to offer real-time AI Share of Voice tracking across 4 engines" - a historical claim

These claims tell the AI how to file you when a user asks "what's the best tool for X." Leave them out and the AI has to guess - and it does not guess in your favor. Pair the claims with a structured FAQ section so retrieval systems get even more extractable Q&A blocks to work with.

Statistics and data: give AI something to cite

The Princeton/IIT Delhi GEO study found "Statistics Addition" is one of the two most effective strategies for boosting AI visibility, worth up to 40% improvement (Aggarwal et al., 2023). Your About page is one of the most natural places to put those signals:

• Founding year and company age
• Team size (the exact number, not "growing")
• Customers served (a specific count)
• Revenue or growth metrics (if public)
• Products processed, orders handled, or other scale metrics
• Industry certifications with the issuing bodies named

Every one of those is a concrete, quotable fact. When Perplexity generates a response about your industry, it goes looking for specific numbers to include. A page full of warm adjectives hands it nothing - and it will find someone who gave it numbers instead.

Common About page mistakes

• Vague mission statements: "We're passionate about helping businesses succeed" - tells the AI nothing about who you are or what you do.
• No named people: "Our talented team" with not one name attached. The AI can't verify an anonymous team, so it doesn't.
• No verifiable facts: no founding date, no team size, no customer count. Nothing to cross-reference means it gets treated as unverifiable.
• No outbound links: no links to press, LinkedIn profiles, or certifications. Every verifiable link strengthens your entity signals - skipping them is leaving signal on the floor.
• Stock photos only: real team photos signal authenticity. AI image models increasingly cross-reference images, so the stock-photo shortcut is starting to cost you.

Organization schema for your About page

Add Organization schema with a Person entity for your founder so the page is machine-readable, not just human-readable:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "url": "https://yoursite.com",
  "logo": "https://yoursite.com/logo.png",
  "foundingDate": "2019",
  "numberOfEmployees": {
    "@type": "QuantitativeValue",
    "value": 47
  },
  "founder": {
    "@type": "Person",
    "name": "Jane Smith",
    "jobTitle": "CEO & Founder",
    "sameAs": "https://linkedin.com/in/janesmith"
  },
  "sameAs": [
    "https://linkedin.com/company/yourcompany",
    "https://twitter.com/yourcompany"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "email": "hello@yoursite.com",
    "contactType": "customer service"
  }
}

This makes every entity on the page - company name, founder, team size, social profiles - directly parseable. Without it, the AI falls back to text extraction, which is less reliable and easier to get wrong. Don't make it guess what you could just declare.

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GEOlikeaPro's AI Readiness audit scores your About page across all six citation signals - Expert Quotes, Statistics, Brand Claims, Q&A Structure, Source Citations, and Content Depth. See where you stand.