AI SEO agency
AI SEO & Answer Engine Optimisation
AI SEO agency for tech, finance and professional services brands, pairing senior strategy with hands-on delivery. An AI SEO agency optimising visibility inside ChatGPT, Perplexity, Gemini and Google AI Overviews with entity, schema and citation strategy. We connect positioning, market intelligence, go-to-market planning and campaign execution into one accountable system, so every pound of spend can be traced to pipeline rather than impressions.
AI search is a genuinely different discipline to classic organic SEO. Answer engines don't rank ten blue links — they retrieve, synthesise and cite. As an AI SEO agency we optimise for retrieval and citation: making sure your brand is understood as an entity, that your claims are corroborated across sources the models trust, and that your pages are structured so a language model can lift a clean, attributable answer from them.
The commercial case is simple. When a buyer asks an assistant to shortlist providers, being one of the three brands named is worth more than ranking eleventh in a traditional result set. That visibility is winnable, but it is earned through entity clarity, structured data and third-party corroboration rather than through keyword density.
2-4x in 6 months
Typical increase in tracked prompt appearances
6-10 weeks
Time to first measurable citation movement
20-40
Pages made citation-ready in phase one
AI visibility consultation
Book your ai seo & answer engine optimisation consultation
- How your brand currently appears in ChatGPT and Perplexity answers
- Which competitors are being cited instead of you
- The content and structured data changes that fix it
2-4x in 6 months
Typical increase in tracked prompt appearances
Entity strategy: teaching models who you are
Language models reason about brands as entities, not as URLs. We build an entity foundation — consistent naming, a canonical about page, organisation and person schema, authoritative profiles, Wikidata and knowledge-panel alignment — so that models can confidently associate your brand with the categories, services and locations you actually serve.
Where a brand is ambiguous (a common name, a recent rebrand, a parent-company relationship), we resolve that ambiguity explicitly, because an assistant that cannot tell which company you are will simply cite a competitor it can identify with confidence.
Content structured for retrieval and citation
Retrieval favours passages that answer a question completely, in place, without requiring surrounding context. We restructure key pages into self-contained, question-led passages with clear definitions, explicit numbers, dates and named sources, so a model can quote them accurately.
We also remove the things that suppress citation: unsupported superlatives, vague claims with no evidence, and long narrative sections that bury the answer several hundred words in.
- —Entity and knowledge-graph alignment
- —Organisation, product, FAQ and author schema
- —Question-led passage restructuring
- —Citation-ready statistics, sources and dates
- —llms.txt and crawler access configuration
- —Prompt-set tracking across ChatGPT, Perplexity and Gemini
Corroboration: the signal models weight most
Assistants cross-check. A claim that appears only on your own website carries far less weight than one repeated in press coverage, review platforms, directories, analyst notes and community discussion. We build that corroboration deliberately — original data, expert commentary, review-platform presence and category listings — so the model finds agreement wherever it looks.
This overlaps with digital PR, but the target is different: the objective is machine-readable consensus, not a single high-authority backlink.
Measuring AI visibility honestly
AI visibility can be measured. We maintain a tracked prompt set that mirrors how your buyers actually ask, run it on a fixed cadence across the major assistants, and record whether you appear, how you are described, and which sources are cited alongside you. That gives a share-of-voice trend and, more usefully, a list of the specific sources you need to influence next.
We pair this with referral tracking from AI surfaces so the programme is judged on enquiries, not just mentions.
Frequently asked
Is AI SEO actually different from normal SEO?
They share foundations, but the optimisation targets differ. Classic SEO competes for a ranked position on a results page; AI SEO competes to be retrieved and cited inside a generated answer. That shifts the emphasis toward entity clarity, structured data, self-contained passages and third-party corroboration, and it is measured with tracked prompts rather than rank positions.
Can you really influence what ChatGPT or Perplexity says about us?
You can influence it substantially, though not control it. Assistants draw on indexed pages, structured data and widely repeated third-party sources. By fixing entity ambiguity, publishing citation-ready content and building corroboration across the sources those systems favour, brands routinely move from invisible to consistently cited within a few months.
How do you report on something with no rank tracker?
We build a prompt set that mirrors real buyer questions and run it on a fixed cadence across the major assistants, logging appearance rate, sentiment, description accuracy and co-cited sources. That produces a trend line and a concrete action list, and we tie it back to referral traffic and enquiries from AI surfaces.
Should we do AI SEO before organic SEO?
Usually alongside, not before. If your site is not crawlable or your content is thin, both disciplines stall for the same reason. Where organic rankings are already healthy, AI SEO is often the higher-leverage next investment because far fewer competitors are working on it seriously.
AI SEO & answer engine optimisation consultation
Let's talk ai seo & answer engine optimisation
Answer four quick questions and we'll come back within one working day with a specific, costed way forward.
- —How your brand currently appears in ChatGPT and Perplexity answers
- —Which competitors are being cited instead of you
- —The content and structured data changes that fix it