Your About Page Is Doing More Work Than You Think

Here is the direct answer: your About page is the page an AI system treats as the authoritative statement of what your organization is — and most About pages are written as atmosphere rather than as fact. That mismatch is expensive, because every other page you publish is interpreted in light of what the model decided you are.

Think about what the typical About page contains. A founding story. A line about passion. A photo of the team laughing near a window. Values. Possibly a timeline. What it frequently does not contain, in plain words, is what the company does, for whom, where, since when, and who runs it.

Why this page specifically

When a system is assembling an entity — a stable idea of who you are — it is looking for a source that makes identity claims directly rather than implying them. Your services pages describe offerings. Your blog demonstrates expertise. Your About page is the only one whose entire job is to say what the organization is, and systems treat it accordingly.

It is also the page other people read before citing you. A journalist, a directory editor, a partner writing a roundup — they land on About and paraphrase it. Every one of those paraphrases becomes a corroborating source. If your About page is vague, the corroboration is vague, and vague corroboration does not build an entity.

What it should state plainly

Not instead of the story — alongside it. The story is what makes a human care. The facts are what make a machine certain. You need both, and they can share a page comfortably.

• What the organization does, in the words customers use, not the words the industry uses internally.
• Who it serves, specifically. "Small businesses" is not specific. "Independent dental practices in the Mountain West" is.
• Where it operates. Cities, regions, or explicitly remote. A surprising number of sites never state this anywhere.
• When it was founded, and by whom, with the founders named as people rather than as first names.
• Who leads it now, with real names, real titles, and links to real profiles.
• Any former names, if the organization has changed one.
• Verifiable affiliations — accreditations, memberships, certifications — which are checkable against third-party sources.

None of this requires sacrificing voice. You can write the most charming paragraph of your life and still state, in a sentence somewhere on the page, exactly what you do and who for.

The structured-data half

Everything above should also exist as organization markup: legal name, alternate names, founding date, founders, location, and the links to your profiles elsewhere. Prose is interpreted. Structured data is read. Doing both is not redundancy, it is saying the same true thing in two registers, and agreement between them is itself a signal.

The links out matter more than people expect. An About page that links to the organization's profiles on independent platforms is handing a system the path to corroborate what the page claims. An About page that links nowhere is asking to be taken at its word.

The test

Give your About page to someone outside your industry and ask them to write one sentence: what this company does, for whom, and where. If they can do it in one pass without hedging, the page works. If they produce something that could describe four hundred other companies, you have written a mood, and a model reading it will come away with the same lack of grip.

That ambiguity is what produces the frustrating outcome where an assistant describes you almost correctly — right category, wrong specialism, or right service and wrong market. It is usually not working from bad information. It is working from information too general to pin down, and the About page is where that generality started.

Worth an hour

This is among the cheapest work available in AI visibility. One page, one afternoon, no ongoing commitment, and it improves how every other thing you publish gets interpreted. I would do it before almost anything else on a list of improvements, specifically because the cost is so low relative to how far the effect reaches.

About the author

Scott Tischler is the Founder & Chairman of AIrecommend.ai and a practitioner-authority on AI search and Answer Engine Optimization. With 20+ years in marketing technology — including American Express, MetLife, and UBS — and executive and professional study at Wharton, Harvard, and Oxford, he helps businesses become the ones AI recommends.