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Generative Engine Optimization: being the answer, not just a result

More people now ask an AI assistant instead of scanning ten blue links. GEO is the work of making sure that when they ask about your category, your brand is what gets described and recommended.

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What GEO is

Generative Engine Optimization (GEO) is the practice of structuring content and brand information so that AI systems — ChatGPT, Gemini, Perplexity, Copilot and AI-generated search summaries — can find it, understand it accurately, and cite or recommend it in their answers.

The shift matters because the interface changed. Traditional search returns a list and the user chooses; an assistant returns one synthesised answer, often naming only a few brands. Being on page one is no longer the same as being in the answer. GEO addresses that gap, and it rewards clarity, structure and verifiable claims rather than keyword density.

What's included

AI visibility audit

Testing what assistants currently say about your brand and category, and which sources they draw on.

Content structuring for extraction

Clear definitions, direct answers and question-led headings, because assistants quote what is easy to lift cleanly.

Schema and structured data

Machine-readable markup so systems parse your offering, entity and credentials without guessing.

Entity and brand consistency

Consistent descriptions across your site and third-party sources, since contradictory information weakens confidence in citing you.

Citation source building

Presence on the third-party sources assistants actually reference when answering about your category.

FAQ and Q&A architecture

Content organised as questions and answers, which maps directly onto how assistants retrieve information.

Crawler access management

Ensuring AI crawlers can reach your content, since blocking them removes you from consideration entirely.

Visibility tracking

Monitoring how your brand is described in AI answers over time and where the description is wrong.

How we run it

Establish the baseline

We ask the assistants what they currently say about your category and brand, and record who gets recommended instead of you.

Fix accessibility

Crawler permissions and technical access checked first, because content that cannot be reached cannot be cited.

Restructure for retrieval

Definitions, direct answers and structured markup added so your content is easy to extract accurately.

Build corroborating sources

Consistent information across the third-party sources assistants trust when forming an answer.

Track and correct

Ongoing monitoring, with targeted work where assistants describe you inaccurately or omit you.

Who this is for

GEO suits brands in categories where people ask comparative or advisory questions — 'which tool should I use for', 'best agency for', 'how do I choose'. It matters most where the buying decision involves research. If your category is purely transactional and price-driven, the effect is smaller. For most B2B and considered-purchase businesses, this is where a meaningful share of research is already happening.

Frequently asked questions

How is GEO different from SEO?
SEO optimises to rank in a list of links; GEO optimises to be included and described accurately in a synthesised answer. They share foundations — crawlability, clear structure, credible content — but differ in emphasis. GEO cares more about extractable definitions, consistent entity information and third-party corroboration.
Can you guarantee ChatGPT will recommend us?
No. These systems are not deterministic and no one controls their output. What we can do is make your brand accessible, accurately described and well corroborated, which is what makes inclusion likely. Anyone guaranteeing a specific AI recommendation does not understand how these models work.
Does GEO mean letting AI companies train on our content?
In practice, being citable requires being crawlable. There is a real trade-off: blocking AI crawlers protects your content from training use but also removes you from the answers. For most marketing content the visibility is worth more than the protection, but it is a decision worth making deliberately.
How do you measure GEO results?
By asking the assistants directly and tracking how they describe you over time: whether you appear for category questions, whether the description is accurate, and which sources they cite. We also track referral traffic from assistants where analytics can identify it.
Is it too early to invest in this?
Consumer behaviour has already moved further than most marketing budgets have. The advantage of acting now is that competition for AI visibility is far lower than for search rankings, so the work is cheaper and faster than the equivalent effort in SEO will be later.
Do we need SEO as well?
Usually yes. They reinforce each other: the technical and content foundations that help you rank also help you get cited, and the authority signals overlap substantially. Treating GEO as a replacement for SEO rather than a companion to it would be a mistake.

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