When a buyer asks an assistant who to use, a short list appears and everyone else is invisible. That list is influenced by how clearly you are defined, how well your claims hold up, and how easy your answers are to extract.
Start a projectWhat you get
Assistants browse and summarise the same web crawlers read. If your entity is ambiguous, your pages bury the answer, and your claims have no source behind them, the model reaches for a competitor who made the job easier.
We remove every reason a model would skip you: consistent entity data, accurate schema, direct answers, and evidence a system can verify. Then we test real buyer prompts monthly and track how the description of your brand changes.
The same name, description, service list and URL everywhere, so an assistant resolves you to one confident entity instead of a fuzzy guess.
Question-led headings with the answer in the first two sentences, followed by the detail that makes the answer trustworthy.
Sources, dates and specifics instead of superlatives. Claims that cannot be checked are the fastest route to being ignored.
Assistants that browse still need to fetch and parse the page. Blocked routes, client-only rendering and slow responses quietly cost you mentions.
Directories, profiles and independent mentions that corroborate what your own site says about you.
A fixed set of real buyer prompts run monthly across ChatGPT, Perplexity, Gemini and AI Overviews, logged so you can see the trend.
We run your buyer prompts across the major assistants and record exactly how you are described, when you are named and who is named instead.
Entity data, schema accuracy, crawl and render issues, and the pages where the answer is buried or unsupported.
Answer-first pages for the questions your buyers ask, each with one intent and a clear route into your commercial pages.
The same prompt set re-run monthly, alongside Search Console data, so improvement is observed rather than assumed.
| Area | Typical approach | Our approach |
|---|---|---|
| Method | Prompt tricks | Entity and content foundations |
| Evidence | Screenshots once | Fixed prompt set re-tested monthly |
| Claims | Guaranteed mentions | Probability improved, never promised |
| Overlap | Separate from SEO | Shared work with organic search |
We can make citation far more likely, but nobody can guarantee it. Assistants do not publish selection rules and their behaviour changes. What we control is removing the reasons to skip you and tracking mentions over time.
Publicly, it draws on browsing results and its training data, favouring sources that clearly match the question, are easy to parse and appear credible. In practice that means clear entities, direct answers and verifiable claims.
Very much. Browsing assistants lean on search results, so pages that already rank are far more likely to surface. Classic SEO is the entry ticket, not a separate project.
A fixed prompt set run on a schedule, logging whether you are mentioned, how you are described and which competitors appear. It is directional evidence, not a precise ranking metric, and we present it that way.
Largely, yes. Generative engine optimisation and answer engine optimisation describe the same discipline. ChatGPT SEO is the same work framed around the assistant most buyers actually use.
Entity and technical fixes can be reflected within weeks. Content-led visibility usually follows the normal organic timeline of two to four months of consistent publishing.
Can you get my site cited by ChatGPT?
We can make citation far more likely, but nobody can guarantee it. Assistants do not publish selection rules and their behaviour changes. What we control is removing the reasons to skip you and tracking mentions over time.
We can make citation far more likely, but nobody can guarantee it. Assistants do not publish selection rules and their behaviour changes. What we control is removing the reasons to skip you and tracking mentions over time.
Publicly, it draws on browsing results and its training data, favouring sources that clearly match the question, are easy to parse and appear credible. In practice that means clear entities, direct answers and verifiable claims.
Very much. Browsing assistants lean on search results, so pages that already rank are far more likely to surface. Classic SEO is the entry ticket, not a separate project.
A fixed prompt set run on a schedule, logging whether you are mentioned, how you are described and which competitors appear. It is directional evidence, not a precise ranking metric, and we present it that way.
Largely, yes. Generative engine optimisation and answer engine optimisation describe the same discipline. ChatGPT SEO is the same work framed around the assistant most buyers actually use.
Entity and technical fixes can be reflected within weeks. Content-led visibility usually follows the normal organic timeline of two to four months of consistent publishing.
Send us your three most important buyer questions and we will show you what the major assistants currently answer.