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We test how your brand is currently referenced — or ignored — across ChatGPT, Gemini, Perplexity, and Claude. This maps exactly where you exist in generative outputs today, which competitors are being cited instead, and what content gaps are blocking your visibility before a single word is written.
LLMs retrieve content through Retrieval-Augmented Generation — they pull the clearest, most structured, most factually grounded sources. We engineer your content with clean headings, direct answer blocks, verified claims, and consistent entity signals so AI models choose your pages first when constructing a response.
AI models build understanding through entity relationships — your brand, services, location, and people need to be consistently recognised across the web. We align your brand entities with the knowledge graphs that ChatGPT, Gemini, and Bing AI draw from, making your business an unambiguous, trusted node in their AI world model.
LLMs weigh depth of coverage heavily. A single page on a topic rarely gets cited; a brand that owns a topic — pillar content, supporting clusters, interlinked subtopics — becomes the default reference. We build the full architecture, not just individual pages, so your topical authority is deep enough to hold up under AI scrutiny.
LLMs don't only read your website — they index third-party mentions, press coverage, directories, and expert citations across the web. We build a coordinated off-page signal strategy so that when an AI queries multiple sources for an answer, your brand appears consistently across enough of them to earn the citation.
GEO works best when it is not isolated. We build one connected strategy where your SEO rankings build domain trust that feeds GEO authority, your AEO optimisation feeds AI answer box citations, and your GEO content feeds full LLM-generated responses — a full-spectrum AI search presence with no gaps between the layers.
Generative Engine Optimization (GEO) is the process of structuring your content so that large language models — including ChatGPT, Google Gemini, Claude, and Perplexity — draw from your website as a trusted source when generating written responses to user queries.
AEO (Answer Engine Optimization) targets short, direct answer boxes — the featured snippet-style responses you see in Google AI Overviews, Perplexity, or Bing Copilot when someone asks a simple factual question. GEO targets the deeper layer: full, multi-paragraph responses that LLMs generate for complex queries, drawing from multiple source documents. Both are important, and AGTS builds strategies that cover both simultaneously so your brand appears at every layer of AI-powered search.
AGTS's GEO strategy targets all major large language model platforms: ChatGPT (including SearchGPT), Google Gemini, Anthropic's Claude, Perplexity AI, Microsoft Copilot, and Meta AI.
Early GEO results — initial brand citations appearing in LLM-generated responses — typically begin within 8 to 14 weeks. Building consistent, multi-platform LLM authority takes 4 to 6 months. GEO timelines are slightly longer than AEO because LLMs update their knowledge and source preferences less frequently than AI answer boxes.
Yes — they cover different search behaviours. SEO captures users clicking Google blue links. AEO captures users getting a direct snippet answer from an AI. GEO captures users asking an AI assistant a complex question and reading a full generated response — a fast-growing behaviour especially among B2B buyers, researchers, and high-intent consumers. Without GEO, your brand is invisible to that third group even if your SEO and AEO are strong. AGTS combines all three into one unified strategy with no additional overhead for your team.