Know what AI says about you. Then improve it.
Data Story's generative engine optimisation service measures how your brand appears across ChatGPT, Google AI Overviews and AI Mode, Gemini, Copilot, Claude, and Perplexity. We turn the findings into a phased action plan, design and deliver the priority website, content, technical, and source changes, then repeat the benchmark to test what moved.
Customers are using AI search to compare places, products and providers.
A customer can now ask an AI search tool who to visit, what to buy, or which provider to trust. The answer shapes the shortlist: it may name several organisations, recommend one, and cite sources that influence the decision.
Most organisations cannot see that layer. They do not know when they appear, how they are described, which competitors are recommended, or whose content supports the answer.
Without a benchmark, GEO becomes a list of activities with no way to tell whether they worked.
What is generative engine optimisation?
Generative engine optimisation improves how your brand appears in AI-generated answers. It makes your information easier for AI search systems to find, understand, verify, and cite, and it runs alongside SEO because both depend on accessible, authoritative, well-structured information.
Mentioned
Your brand appears somewhere in the answer.
Recommended
The answer puts you forward as a choice, not just one name among many.
Cited
The answer names a source. We track whether it draws on your content or someone else’s.
Being mentioned, recommended, and cited are different outcomes. We track them separately.
From benchmark to work in market.
Build the benchmark
We start with the questions customers actually ask. Search Console, site search, customer research, and conversations with sales and support help us build a fixed prompt set that can be repeated later.
Find out why you are or are not appearing
We look beyond the score. Which competitors are recommended? Which pages are cited? Is AI confusing your brand with another organisation, relying on an outdated source, or unable to find a clear answer on your website?
Turn the findings into a delivery plan
Each action has an owner, a priority, and a measure of success. Some are quick technical or content fixes. Others become new pages, landing-page wireframes, authority work, or larger website changes.
Get the priority changes live
We can rewrite pages, design and wireframe new ones, implement technical changes, and work alongside your developers or internal team. Who publishes depends on the platform; our involvement does not stop at the recommendation.
Run the benchmark again
Once the engines have had time to find the changes, we test the same questions again. What moved determines the next phase.
You see the whole journey on one dashboard.
Discover, Consider, Convert, Experience. Every metric tracked monthly, with the movement that matters, so AI visibility connects to the outcomes your business already measures.
Illustrative example.
AI visibility and revenue move together. Website traffic stays flat.
Four metrics, each indexed to 100 at August. AI visibility and revenue are moving together while website sessions remain flat. The pattern identifies a relationship worth investigating; it does not assume AI caused the revenue growth.
For the method behind the numbers, read how we measure GEO.
GEO Setup builds the benchmark. Ongoing measurement keeps it current.
GEO Setup includes
- Customer-question prompt library
- Fixed benchmark and adaptive investigation sets
- Multi-engine baseline
- Analysis of mentions, recommendations, share of voice, citations, and accuracy
- Technical access and cited-page review
- Prioritised action and execution plan
- Content, structural, and technical implementation for the first agreed cluster
- Coordination with internal teams or existing partners where required
- Post-implementation remeasurement
- A repeatable framework for the next cycle
GEO Setup takes the first priority cluster from baseline through execution and remeasurement. Ongoing work extends the same method across further topics, products, and stages of the customer journey.
Common questions
Is GEO different from SEO?+
They overlap and reinforce each other. SEO is about ranking in a list of links; GEO is about being found, understood, and cited within an AI-generated answer. Strong SEO helps GEO, and we treat them together.
Can you actually measure GEO?+
Yes. We run a library of the real questions your customers ask across the major engines and score whether you appear, how you are framed, and which sources are cited. Then we re-run it after changes to show the movement.
Which AI engines do you cover?+
The ones your customers use: ChatGPT, Google AI Overviews and AI Mode, Gemini, Microsoft Copilot, Claude, and Perplexity.
Will GEO affect our SEO?+
It strengthens the same foundations search relies on: clear, well-structured, authoritative content. We design GEO changes to support SEO and monitor organic performance alongside AI visibility.
Are GEO and AEO the same thing?+
Generative engine optimisation and answer engine optimisation overlap. Both improve how information is understood and selected for AI-generated answers. We use GEO as the broader term and measure performance across both generative and answer-engine surfaces.
How long until we see results?+
The baseline gives you an immediate view of where you stand. The time needed for improvements to appear depends on the change and the engine. Technical changes may surface within weeks; content and brand-association changes can take longer. We agree the remeasurement window against the work shipped rather than promising one universal timeframe.
Get a baseline for how AI represents your brand.
We will show you where you appear, how you are framed, whose sources support the answer, and which gaps are worth fixing first.
Book a walkthrough