GEO
Generative Engine Optimisation — AI Overview optimisation, LLM citation building, and entity authority signals so answer engines name you.
Best for
Categories where buyers now research inside an AI assistant.
How we run it.
We start by benchmarking what the assistants already say when someone asks about your category, because the prompts worth winning are rarely the ones you would have picked. In grey-area verticals the models decline "best broker" or "best casino" phrasing outright, so the work targets the mechanism and comparison questions they will answer, then makes your brand the entity they resolve to: consistent naming, structured claims a model can lift without hedging, and citations sitting on sources the engines already read. We will not manufacture those sources, because seeded review sites and content farms get discounted by the same engines you are trying to be cited in, and unpicking them costs more than the placement ever returned.
What’s included.
- 01Entity and knowledge-graph groundwork
- 02Citation-ready content structuring
- 03AI Overview and featured-answer targeting
- 04Competitor share-of-answer benchmarking
Questions about GEO.
- How do you get a brand cited in AI answers like ChatGPT and Google AI Overviews?
- Getting cited by an answer engine depends on being a resolvable entity with claims stated plainly enough for a model to lift them, not on ranking first for a keyword. We do the entity groundwork first: consistent naming, structured data, and the same facts about you repeated identically across the sources the engines already read. Content is then structured so a single passage answers one question completely, which is the form a model quotes.
- Does generative engine optimisation work in grey-area categories like prop trading or iGaming?
- Answer engines apply their own safety filters in grey-area categories, so a model will often refuse a recommendation prompt no matter who has optimised for it. The winnable ground is the informational layer around the purchase, such as how an evaluation works, what a licence actually covers, or how withdrawals are processed, where being the cited source still puts your name in the answer. We benchmark which prompts your category returns at all before committing any content to them.
Rest of discovery.
All 16 services →Let's find out if we can move your number.
Thirty minutes, no deck. You describe the problem, we tell you whether we have solved something like it and roughly what it would take.
Or email [email protected]