The UK's leading GEO agency — get your brand cited by ChatGPT, Gemini, Claude and Perplexity

Generative Engine Optimisation (GEO) is the practice of structuring, building, and promoting your brand so that AI-powered search engines — including ChatGPT, Gemini, Perplexity, Claude, and Bing Copilot — cite you as an authoritative source in their generated responses. Where traditional SEO targets Google's ranked list of blue links, GEO targets the AI-generated paragraphs, comparisons, and recommendations that are increasingly replacing those links entirely. When a user asks an AI assistant "which digital marketing agency should I use?" or "what is the best SEO agency in the UK?", GEO determines whether your brand is recommended, mentioned, or ignored. As AI engines handle a growing share of commercial discovery queries — estimated at 15–25% of informational searches in 2026 — GEO is becoming as commercially important as SEO was in 2010.

SEO (Search Engine Optimisation) targets ranked positions in Google's traditional blue-link results — visibility that depends on a user clicking through to your site. AEO (Answer Engine Optimisation) targets zero-click answers within Google itself: featured snippets, knowledge panels, and AI Overviews that appear above organic results. GEO goes further still — it targets the large language models (ChatGPT, Gemini, Claude, Perplexity) that users query directly for advice and recommendations, often bypassing Google entirely. GEO requires strategies that AEO and SEO do not: entity authority building across Wikipedia and knowledge graphs, citation acquisition from the specific third-party sources AI models draw from, and training-signal optimisation that influences how models represent your brand across retraining cycles. The three disciplines share technical foundations (authority, crawlability, quality content) but GEO adds a distinct layer of systematic brand-entity engineering.

Yes — and the mechanism is well-understood. Large language models generate responses by weighting the sources they were trained on and, for retrieval-augmented models, sources they can access in real time. By building your brand's presence in the content pools these models draw from — high-authority editorial backlinks, Wikipedia entity entries, expert citations in industry publications, structured data that confirms your expertise, and consistent positive coverage across trusted third-party sources — you systematically increase how often and how favourably AI models represent your brand. This is not manipulation of the models themselves; it is building the genuine, verifiable authority that AI training and retrieval processes reward. Get Found has tracked measurable improvement in ChatGPT, Gemini, and Perplexity citation frequency for clients within 3–6 months of sustained GEO investment.

GEO performance is measured through systematic prompt testing and citation tracking across all major AI platforms. Each month, we run your target queries — the exact questions your prospective customers ask AI assistants — through ChatGPT, Gemini, Perplexity, and Bing Copilot, recording: (1) how often your brand appears in the generated response, (2) where in the response your brand is positioned (first mention vs. afterthought), (3) the sentiment and framing of how your brand is described, and (4) which competitors are being recommended in your place. Supporting metrics include third-party citation volume growth, Wikipedia and knowledge graph entity status, E-E-A-T signal strength, and brand mention velocity across authoritative publications. Results are reported monthly in a GEO Visibility Dashboard with trend lines per platform and per query cluster.

GEO results arrive in layers. Retrieval-augmented platforms — Perplexity, Bing Copilot, and Google AI Overviews — operate on near-real-time web retrieval, so fresh content and new citation wins can shift AI responses within 4–8 weeks of publication. Base model platforms — ChatGPT and Gemini's non-retrieval modes — update through periodic retraining cycles (typically every 6–12 months), meaning changes compound more slowly but carry lasting authority once embedded. A full GEO programme with Get Found typically delivers measurable improvement in AI citation frequency within 3–4 months (retrieval platforms) and verifiable base-model presence improvements within 9–12 months. Like SEO in its early years, GEO rewards brands that invest early — the citation authority you build now compounds as AI engines become the primary discovery channel.

Yes — SEO and GEO target fundamentally different surfaces. SEO gets you into Google's ranked index, where your visibility depends on a user choosing to click your link. GEO gets you into the knowledge base and retrieval corpus of AI systems, where your brand can be recommended to users who never visit a traditional search engine. As the proportion of commercial queries handled by AI assistants grows — Gartner estimates AI-driven query volume will displace up to 25% of traditional searches by 2026 — businesses without GEO are invisible to a growing share of their target market regardless of their Google rankings. SEO and GEO share foundational signals (authority, quality content, technical health) but GEO adds entity building, citation architecture, and AI-crawler-specific structured data that SEO programmes do not typically deliver. Running both is the minimum viable approach for UK businesses targeting the next three years.