Entity foundations
Organisation and Service schema, consistent naming, address and profile data, so models know who you are.
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A growing share of searches now end in an AI answer rather than a click. We work on being the source that answer cites, and on the technical foundations both AI assistants and Google still depend on.
When someone asks ChatGPT, Gemini, Perplexity or Google AI Mode about your sector, the model assembles a reply from a handful of sources and names some of them. If your business is not among them, the enquiry goes to whoever is, and you never see it in your analytics.
Getting cited depends on different signals from classic ranking. A direct answer near the top of the page, clean heading structure, structured data that names the entity, consistent facts about your business across the web, and claims a model can verify against a second source. We build for those signals, and the same work strengthens ordinary search results at the same time.
Organisation and Service schema, consistent naming, address and profile data, so models know who you are.
Pages that answer the question in the first forty words, then support it, in the format models quote from.
Getting your business into the directories, listings and industry sources that AI systems draw on.
Crawl, index coverage, Core Web Vitals, redirects and internal linking, because none of the above works on a site that cannot be read.
Nobody controls what an AI assistant says. There is no submission form, no ranking dashboard and no guaranteed placement, and any agency claiming otherwise is selling something it cannot deliver.
What we can do is measure. We run a fixed set of buyer questions across the major assistants each month, record whether you are mentioned and what is said, and work on the gaps. Over time you see whether the position is improving, in the same way rank tracking works for Google.
Four stages, with something you can look at after each one.
We run the questions your buyers actually ask across ChatGPT, Gemini, Perplexity and Google AI Mode, and record who gets cited today.
Schema, entity consistency, crawlability and page speed fixed first, since these gate everything else.
Pillar pages and question-level content written to be quoted, with facts a model can verify elsewhere.
The same question set re-run monthly, reported alongside organic traffic and conversions.
SEO aims at ranking in a list of links. Answer engine optimisation aims at being the source quoted in an AI answer. Generative engine optimisation is the same idea applied to generative assistants specifically. In practice the work overlaps heavily, and we treat them as one engagement.
No. There is no submission process and no ranking control. What we can do is influence the signals models rely on and measure your mention rate month on month.
Yes. Most commercial searches still return links, and AI answers themselves draw heavily on pages that rank well. Dropping technical SEO would undermine the AI work, not replace it.
We run a defined set of buyer questions across the major assistants on a schedule and log whether you appear, in what context, and which competitors are cited instead. It is a sample rather than a census, and we report it as such.
Schema and technical fixes can register within weeks. Being cited consistently takes longer, typically three to six months, and depends on how much verifiable content about your business exists elsewhere.
Send us five questions your buyers would ask. We will run them across the major assistants and show you who gets named.