Be the answer AI engines cite.
Generative Engine Optimisation — the discipline of making your brand the cited, quoted, and recommended source inside the new AI answer layer. The frontier of search, with the measurement and authority work that makes it compound.
Own the AI response.
Visibility in the answer layer.
Generative Engine Optimisation is not a separate discipline from SEO — it is the discipline SEO becomes when the primary interface for most questions stops being a ranked list of blue links. When a buyer asks a question in a conversational interface, the answer that appears is a synthesis drawn from sources the underlying model trusts. Appearing in that synthesis is the work.
The mechanics are different from classic SERP optimisation. Authority signals matter more. Entity clarity matters more. Structured, fact-dense content that models can extract cleanly matters more. Citation-worthy formats — original research, expert commentary, unique data — matter dramatically more. Our SEO Lead sits on the jury of the 2026 Search & Discovery Awards specifically for this category, which gives you a sense of where our practice operates.
Most agencies are still optimising for a search paradigm that is being reshaped monthly. We have been preparing for the answer layer since the first answer boxes appeared, and the tooling we built along the way — citation monitoring, entity mapping, answer-ready content frameworks — is what separates a GEO practice that ships from one that pitches.
What makes the difference.
Citation Monitoring Across Engines
Systematic tracking of how your brand and competitors appear in responses across the conversational AI answer layer. The visibility metric most brands are not measuring yet — we measure it weekly.
Entity & Knowledge Graph Strategy
Clear, consistent brand entity across knowledge graphs, structured data, and authoritative sources. AI engines reward unambiguous entity signals — and penalise brands with fragmented identity across the web.
Answer-Layer Content Frameworks
Content structured for model comprehension: clear definitions, fact-dense paragraphs, citation-worthy data, and the semantic signals that tell a language model this is a source worth quoting.
Topical Authority Building
Comprehensive topical cluster strategies that establish your brand as the authoritative source on your core subjects. Depth compounds — and the AI answer layer rewards it more obviously than classic SERPs ever did.
Cross-Surface Coordination
GEO does not replace classic SEO — it layers on top. Our practice coordinates both, so the work that earns classic SERP rankings also strengthens the signals that drive AI citations.
Prompt-Pattern Research
Understanding which conversational queries surface commercial recommendations for your category — the LLM equivalent of commercial-intent keyword research. Tooling we built because the off-the-shelf SEO tools do not cover it yet.
Building visibility.
Audit
Citation frequency across AI engines for your top category queries. Entity clarity across knowledge graphs. Content gap analysis specific to the answer layer — not just the classic SERP.
Architect
Topical cluster design around how real audiences ask, and how language models synthesise. Schema and entity strategy baked in. Content production briefs calibrated for answer-layer citation worthiness.
Execute
Structured data rollout, entity reconciliation, content production, and targeted authority signals across the sources AI engines actually consult when generating responses.
Monitor
Weekly citation monitoring across engines. Competitive share of voice in answer responses. Adjustments based on how the models evolve — because they evolve faster than any classic algorithm update cycle.
Common questions.
Ready to be the answer?
Let's talk about visibility in the AI answer layer — from citation monitoring to the authority work that makes you the source.
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