Be the brand AI recommends when it writes the answer
Generative engine optimization shapes how large language models represent and recommend your brand when they generate an answer, often without linking to anyone. I measure how models describe you today, then fix the sources and signals that decide it.
The problem
A generative model does not always cite a source. It composes an answer from what it has learned, and either it knows your brand or it recommends someone it knows better.
ChatGPT, Gemini, and Claude describe your category from thousands of sources they have read. When a buyer asks for a recommendation, the model names the brands whose entity is clear and consistent, and passes over the ones it is unsure about.
- Ask ChatGPT to recommend a provider in your category and your name does not come up.
- When AI describes your company, the description is thin, dated, or wrong.
- Competitors are named confidently in generated answers and you are not.
Fit
This is built for you if
Head of Marketing
Absent from generated recommendations
“AI does not mention us when it clearly should.”
Founder or CEO
Known offline, invisible to the models
“We are known in the market but not to the assistants.”
Brand or comms lead
Entity unclear across the web
“Different sources describe us in different, conflicting ways.”
This is probably not a fit if
- Brands with too little presence across the web for a model to have learned anything to work with yet.
- Teams wanting content produced at volume rather than the representation fixed. Heavy production runs through theCSS Agency.
- Anyone expecting to dictate exactly what a model says. You influence it, you do not control it.
Deliverables
What is included
- A representation baseline: how ChatGPT, Gemini, and Claude describe and recommend you today
- Entity analysis: whether the model can resolve your brand to one clear, consistent entity
- Source audit: which pages and third-party sources are teaching the model, and which are teaching it wrong
- A plan to strengthen the signals that decide whether you are recommended
- Prioritised actions you can run in-house or hand to a delivery team
Process
How it runs
- 01
Baseline
Days 1-3
Capture how generative models describe and recommend you across a fixed prompt set.
- 02
Diagnosis
Days 4-7
Find the entity and source gaps behind a weak or wrong representation.
- 03
Plan
Days 8-10
A prioritised plan to fix how the models see you.
Investment
Timeline and investment
Generative engine optimization is scoped to your brand's footprint and the gaps found, with the AI Visibility Audit as the fixed-fee starting point.
What changes the price: how widely your brand is written about already, how many markets you operate in, and how far apart the sources describing you have drifted.
The audit is the entry point because it turns a hunch that AI misrepresents you into a measured baseline. Ongoing optimization is scoped from there, either directly or, where the work is a heavy technical or content build, through theCSS Agency.
FAQ
Before you ask
- What is generative engine optimization?
- It is the work of shaping how large language models describe and recommend your brand when they generate an answer. It targets the model's understanding of you as an entity, not just a single page's ranking.
- How is GEO different from answer engine optimization?
- Answer engine optimization is about being retrieved and cited by engines that quote sources. Generative engine optimization is about being represented and recommended inside a composed answer, which often names no source at all. Most brands need both, and the audit measures both.
- Can you control what ChatGPT says about us?
- You influence it, you do not dictate it. Models compose answers from many sources. The work is making your entity clear and consistent enough that the model is confident describing and recommending you.
- Which models do you cover?
- ChatGPT, Gemini, and Claude, on a prompt set built from how your buyers ask for recommendations in your category.
- Do you implement, or just diagnose?
- The work is measurement, diagnosis, and the plan. Heavy technical or content implementation runs through theCSS Agency.
See how AI describes you
Start with a measured read of how ChatGPT, Gemini, and Claude represent and recommend you today, and what decides it. You get the findings whether or not we work together after it.