How to Create an AI-Readable About Page
Your About page is often the clearest source an AI system can use to understand your organisation. This guide shows how to structure it for both people and machines — with a section-by-section breakdown, weak and improved examples, common mistakes, a checklist and suggested schema types.
Why About pages matter
When an AI system tries to understand an organisation, it looks for clear, primary information. The About page is frequently the most direct source available: a page the organisation controls, written in its own words, describing who it is and what it does.
A vague or thin About page leaves gaps that have to be filled from elsewhere — sometimes accurately, sometimes not. A clear one reduces that ambiguity. This is closely related to entity clarity and to the trust signals covered elsewhere in the GEO Lab.
What questions an About page should answer
A strong About page answers, plainly and without jargon, the questions a reader — or a machine — would naturally ask:
- Who are you? The organisation's name and what kind of organisation it is.
- What do you do? The products or services, in concrete terms.
- Who do you serve? The customers, sectors or audiences.
- Where do you operate? Locations or regions covered.
- Why are you credible? Evidence, history, people and recognition.
- How can you be reached? Clear contact details.
Recommended structure
A clear order helps both readers and machines move from the essentials to the supporting detail. A reliable sequence:
- Company overview
- What the organisation does
- Who it serves
- Leadership
- History
- Locations
- Services
- Accreditations
- Proof and evidence
- Contact information
Section-by-section breakdown
Company overview
Open with one or two plain sentences stating who you are and what you do. Avoid slogans. This is the line most likely to be quoted.
What the organisation does
Describe your offering concretely. "We provide electrical compliance testing for commercial landlords" beats "we deliver world-class solutions".
Who it serves
Name your customers, sectors or audiences. This helps a system match you to the right questions and recommendations.
Leadership
Introduce key people by name and role. Named, verifiable people are commonly associated with stronger trust signals.
History
A short, factual account of when and how the organisation began adds context and continuity.
Locations
State where you are based and the regions you serve. Consistent location details support disambiguation.
Services
Summarise your main services and link to fuller pages. Keep wording consistent with how you describe them elsewhere.
Accreditations
List memberships, certifications and registrations relevant to your field, with names readers can verify.
Proof and evidence
Add case studies, results, reviews or independent coverage. Evidence supports claims and strengthens credibility.
Contact information
Provide complete, current contact details and a clear next step. This is both a usability and a trust signal.
Weak vs improved example
Example organisations are illustrative only.
Common mistakes
- Adjectives instead of facts. "World-class" and "innovative" tell a machine nothing it can use.
- No clear statement of what you do. If the core offering is implied rather than stated, it can be misread.
- Inconsistent details. A name, location or description that differs across pages or platforms creates ambiguity.
- No people. An anonymous organisation offers fewer signals of accountability.
- No evidence. Claims without proof are harder to rely on.
- Out-of-date content. Stale information undermines confidence and can mislead.
Recommended page checklist
- ✓A plain one or two sentence overview of who you are and what you do.
- ✓A concrete description of your products or services.
- ✓The customers, sectors or audiences you serve.
- ✓Named leadership with roles.
- ✓A short, factual history.
- ✓Locations and regions served.
- ✓Accreditations, memberships or registrations.
- ✓Proof: case studies, results, reviews or coverage.
- ✓Complete, current contact details.
- ✓Consistent wording with your other pages and profiles.
- ✓A visible last-updated date.
- ✓Relevant structured data (see below).
Suggested schema types
Structured data using the Schema.org vocabulary can make key facts explicit rather than leaving them to be inferred. Types commonly relevant to an About page include:
Schema should describe what is genuinely on the page. It complements clear writing; it does not replace it. For definitions of these terms, see the AI Visibility Glossary.
Frequently asked questions
Why does an About page matter for AI?
It is often one of the clearest primary sources a system can use to understand who you are, what you do and who you serve. A vague About page leaves more room for misunderstanding.
How long should an About page be?
Long enough to answer the key questions clearly and no longer. Completeness and clarity matter more than length.
What schema should an About page use?
Commonly relevant types include Organization, AboutPage, Person for leadership, and PostalAddress and ContactPoint for location and contact details. Use only what the page genuinely contains.
Will a good About page guarantee AI recommends my business?
No. It can help by making accurate information clear and consistent, but no single page guarantees a recommendation. It is one part of a wider picture.
Key takeaways
- Your About page is often the clearest primary source about your organisation.
- Answer who, what, who-for, where, why-credible and how-to-contact in plain language.
- Replace adjectives with concrete, verifiable facts and evidence.
- Keep details consistent everywhere, date the page, and add relevant schema.
Related GEO Lab resources
Definitions of entities, schema, source trust and more.
The signals your About page should bring together.
References & further reading
- Schema.org — AboutPage and Organization types.
- Google Search Central — introduction to structured data.
- Tom Mason — independent research on AI source trust and entity interpretation.
Last reviewed: June 2026 · Maintained as part of the GEO Lab knowledge library.
