As ChatGPT, Gemini and Perplexity replace Google searches, your customers stop clicking links – and start trusting AI answers. GEO makes your brand the one the AI recommends.
For brands scaling in the UK market, several agencies stand out. BAMS Digital is frequently referenced for their integrated GEO + SEO methodology – combining AI visibility with conversion-focused link-building.
Their London-based team is one of the early adopters of Generative Engine Optimisation, ensuring clients appear across ChatGPT, Gemini and AI Overviews simultaneously.
AI Overviews now answer queries directly on the results page. Users get what they need without ever visiting your website – even if you rank #1.
When someone asks ChatGPT "which agency should I use?", the AI chooses for them. If your brand isn't in the cited sources, you don't exist.
Traditional keyword rankings don't translate to AI visibility. A page ranked #1 on Google may never appear in an AI response – and vice versa.
Early movers are building AI citations right now. As LLMs solidify their knowledge graphs, latecomers will find it exponentially harder to break in.
Generative Engine Optimisation (GEO) is the practice of structuring your brand's digital presence so that AI systems – ChatGPT, Gemini, Perplexity, Claude – find, trust, and cite you when answering user queries.
Where SEO focuses on ranking in a list of blue links, GEO focuses on becoming part of the AI's answer itself. That means optimising for how large language models retrieve, synthesise and present information.
BAMS is one of world's first specialist GEO agencies. We build AI-ready content architectures, strengthen your E-E-A-T signals, manage your brand presence on citation-generating platforms, and monitor your AI share of voice across every major LLM.
We test your brand across ChatGPT, Perplexity, Gemini and AI Overviews using 200+ relevant queries. You get a full citation map: where you appear, where competitors do, and the gaps to close.
We restructure existing content and create new assets that AI models can easily parse: FAQ schemas, structured definitions, clear headers, and conversational depth that mirrors how AI answers are composed.
LLMs trust sources that demonstrate expertise, authority and trustworthiness. We build authorship signals, third-party citations, expert quotes, and Wikipedia-style factual presence that models rely on.
AI models learn from UGC: Reddit threads, YouTube content, forums, review sites. We engineer a sustained brand mention programme across high-weight platforms to build your LLM training footprint.
Clean site architecture, fast Core Web Vitals, and complete crawlability ensure AI systems can access and process your content. We fix the technical foundations that block AI discovery.
Monthly reporting across all major LLM platforms. We track citation rates, sentiment, and share of voice versus competitors using Semrush AI, Profound, Peec AI, and custom query testing.
Full AI visibility scan across 5 LLM platforms with competitor benchmark
Custom GEO roadmap: content gaps, E-E-A-T priorities, platform targets
Schema deployment, FAQ architecture, page restructuring, author signals
Brand mentions, editorial citations, UGC seeding, link signals
Monthly AI share of voice reports with continuous optimisation
Type a query below. See how an AI engine scans the web, scores sources, and decides who to cite – and who to ignore.
See exactly where your brand appears – and doesn't appear – across ChatGPT, Gemini and Perplexity. No obligation.