How Your About Page Affects AI Authority
Your about page tells AI engines who you are, what you do, and whether you're credible. Most about pages are written for humans and ignored by AI. Here's how to change that.
When an AI engine encounters a brand it doesn't know well, it looks for a reliable source of basic information: what the company does, who it serves, how long it's been around, and whether third parties have validated it. The about page is often the first place it finds this.
Most about pages are written to impress visitors, not to inform AI engines. They're full of vague mission statements, stock photography, and founder photos. None of that helps an AI engine build an accurate understanding of who you are.
Why about pages matter for AI citation
AI engines construct brand profiles from what they find across the web. Your website contributes to that profile. The about page is one of the most direct inputs because it's the page most explicitly designed to answer the question "what is this company?"
When someone asks an AI engine "what does [company] do?" or "who is [company] for?", the engine draws on whatever it can find about your brand. If your about page has a clear, specific answer, it can extract and use it. If your about page is vague or jargon-heavy, the engine falls back on third-party sources, and those sources may not frame your brand the way you want.
About pages that lack specificity push AI engines to construct brand descriptions from review platforms, press coverage, and competitor comparisons. You lose control of how your brand is introduced the moment someone asks about you.
What AI engines look for on an about page
The content AI engines can extract from an about page falls into a few categories.
| Signal type | What it tells AI engines | Common mistake |
|---|---|---|
| Company description | What category you belong to and what you do | Vague positioning: "we empower teams to do more" |
| Customer description | Who the product or service is for | Not naming target segments: "for businesses of all sizes" |
| Founding date or history | How established the brand is | Omitting or hiding the founding year |
| Team credentials | Whether the people behind it have relevant expertise | Listing titles without any domain context |
| Customer proof | Whether real organizations use and trust you | Only listing logos without counts or context |
| Geographic or industry focus | Where and how you operate | Treating scope as implicit |
Each row is a question AI engines often need to answer when generating responses about your brand. If your about page addresses all of them clearly, you give AI engines accurate raw material to work with. If it doesn't, they piece together an answer from whatever else exists.
The company description is the most important element
The single sentence or paragraph that describes what your company does is the most frequently extracted piece of content from about pages.
Write it as if it needs to stand alone. An AI engine may lift it directly into an answer about your brand. If the description requires knowledge of your product or context from other parts of the page, it won't survive extraction cleanly.
Weak: "We believe every team deserves tools that help them reach their potential."
Strong: "Acme is project management software for architecture firms, used by over 3,000 studios to track projects from permit to handover."
The strong version specifies category, audience, usage context, and scale. An AI engine can answer "what does Acme do?" from that single sentence. The weak version answers nothing about what the company actually does.
Credentials and team context signal expertise
AI engines weight content from sources they consider authoritative. When assessing your brand's authority in a category, they look at whether the people behind it have domain expertise.
An about page that lists job titles with no context ("Jane Smith, CEO") adds less than one that includes relevant background ("Jane Smith, CEO, former VP of Product at a Series C logistics company"). You don't need a full biography for every team member. You need enough context for an AI engine to understand that your company is led by people with relevant experience.
This matters especially in categories where expertise is part of the value proposition: software, healthcare, legal services, financial tools. The role of expert bylines and contributor articles in AEO covers how personal expertise signals compound across your content. The about page is where that foundation starts.
Customer proof on the about page
Most about pages include customer logos. Logos alone do very little for AEO. AI engines can't extract meaning from an image unless alt text or surrounding text makes it explicit.
Translate your customer proof into text:
- State the customer count or category. "Trusted by 500+ marketing agencies" is extractable. A logo grid is not.
- Name recognizable customers by category, not just by name. "Customers include Fortune 500 retail brands and government agencies" tells AI engines about your customer profile.
- Include a quote that contains a claim. "Our onboarding time dropped from six weeks to three days" is a specific outcome. Generic praise ("we love this product") is not.
The principle here is the same as what makes case studies useful for AEO: specificity is what gets extracted and repeated. Vague social proof is filtered out.
Founding information and brand stability
AI engines treat longevity as a proxy for credibility, particularly for recommendation queries. A brand that has been operating for ten years is treated differently from one with no discernible history.
Include your founding year and any notable milestones that establish timeline: when you launched publicly, when you reached a significant customer or revenue milestone, when you expanded to a new market.
This doesn't need to be a lengthy company history. A single sentence works: "Founded in 2017, [company] has grown to serve more than 8,000 customers in 40 countries." That sentence tells an AI engine you're established, at scale, and operating globally.
What to avoid
Vague positioning language. "We're on a mission to transform the way teams collaborate" says nothing about what you do. Eliminate every sentence that could be published on any company's about page without changing a word.
JavaScript-only rendering. If your about page content loads after the initial page render, some AI engines may not index it. Static HTML with the main content visible on page load is the safest approach. This is the same technical issue that affects integration pages, covered in how integration pages affect your AI search visibility.
Mixing your origin story with your current positioning. Founder stories are fine, but they should come after a clear description of what the company does today. An AI engine reading an about page to understand your brand should encounter your current positioning before your backstory.
Omitting who you're for. "Serving businesses worldwide" tells AI engines nothing about which businesses. Naming your target segment makes the about page useful for queries like "what's a good [tool type] for [industry]?"
Connecting your about page to the rest of your site
The about page works best as part of a network of pages that reinforce the same brand signals.
Link from your about page to your most authoritative content: your most-cited blog posts, your strongest case study, your glossary if you have one. These links signal to AI engines that the about page is load-bearing within your site architecture, not an orphaned page updated once at launch and never touched again.
Equally important: link to your about page from the rest of your site. Navigation links count, but editorial links from blog posts and product pages carry more weight. A blog post that says "at [company], we work with mid-market SaaS teams to help them..." with a link to your about page reinforces the same positioning signal from multiple directions.
Treating the about page as an AEO asset
The about page is not a one-time task. Brands change: customer segments expand, new milestones are reached, team expertise deepens. An about page that accurately described your company at launch may misrepresent it three years later.
Review your about page any time your positioning shifts, when you enter a new market, or when AI engines start describing your brand in ways that no longer match reality. Why AI shows outdated information about your brand explains why that disconnect happens and how to close it. Keeping your about page current is one of the highest-leverage steps.
QuickAEO shows you exactly how AI engines are describing your brand right now, which sources they're drawing from, and where the gaps between their description and your actual positioning are. If your about page isn't contributing to that description, that's a signal it needs work.