A simple example
An answer system encounters a service page with a clear offer and accurately attributed experience. That information is more useful than unexplained claims, but the publisher does not control whether it is cited.
Start with trustworthy information
A business should make its offer, scope, evidence and contact path understandable. Provide useful explanations that stand on their own, cite relevant primary material and maintain accurate facts. Contradictory service claims or invented case studies undermine the information available to readers and retrieval systems.
Separate content work from visibility claims
Clear page structure and reliable sources can improve the usefulness of content. They cannot establish that a particular model will retrieve, cite or recommend it. Google’s AI search guidance states that normal SEO fundamentals apply and no special AI schema or file is required for its features.
A practical observation log
- Record the question, platform, date and relevant market.
- Save what was actually displayed, including any citation destination.
- Distinguish a brand mention from a recommendation or website visit.
- Repeat only enough to assess a defined hypothesis.
- Connect observed visits to useful business outcomes where measurement permits.
Where to focus first
Resolve missing service explanations, thin proof and inaccessible pages before treating GEO as a separate channel. Compare it with AEO and SEO using the reader’s task. A claim that an agency can guarantee AI recommendations should require evidence it is unlikely to control.
Prioritise credible information over special formatting
A business researching an agency needs to understand its services, delivery approach and relevant experience. That information should remain clear whether the person arrives through ordinary search, an AI-generated response or a referral. Explain what the service does, when it is useful and what evidence supports the capability. Hiding useful detail behind unexplained visual effects weakens that understanding.
An editorial review should separate factual experience, practical recommendations and illustrative examples. Publish accurate organisation details and maintain consistent links between service pages, supporting guides and case studies. Keep source material readable and avoid unsupported superlatives. There is no reliable promise that a particular page structure will earn an AI citation. Evaluate useful enquiries and relevant visibility over time, with reporting limits acknowledged, rather than selling a guaranteed inclusion mechanism.
- Keep important text accessible in the page and understandable without an animation.
- State the context and measurement basis behind publicly described results.
- Update outdated guidance and retain a clear path from explanation to enquiry.
Understand the AEO and GEO distinction →
Frequently asked questions
What is generative engine optimisation?
Generative engine optimization (GEO) is a working label for improving how a business’s information can be discovered and represented in generative answer experiences. Definitions vary, and results depend on systems the publisher does not control.
Can a sampled AI mention establish commercial success?
No. Record the platform, query, language and date, then distinguish the observation from visits, enquiries and sales.
Do we need special AI schema?
Google states that no special schema is required for its generative AI search features. Relevant structured data can still support the wider SEO implementation when it matches visible content.
Sources and further reading
Primary material for the concepts discussed here. Our practical checklists and illustrative examples are editorial recommendations. Source links open in a new tab.