Traditional SEO works to get your page near the top of Google’s results. AI search optimization works differently. Engines like ChatGPT and Gemini retrieve information, decide what is relevant, and cite only the sources they trust. AEO and GEO are two parts of this one service. AEO shapes your content around the questions buyers ask. GEO strengthens the technical, authority, and citation signals that help AI systems understand and reference your brand. From there, Revenue Analytics connects AI search performance to pipeline and revenue, so you can see its role in the business.
We optimize the local signals and sources AI systems use to understand your locations, services, and relevance in specific markets.


Get a clear picture of how AI systems currently represent your brand and why gaps may be limiting your visibility across AI search experiences.
AEO focuses on the content and structure that enables AI systems to understand your expertise and cite your brand in relevant answers. Better answers start with knowing how ChatGPT cites sources and building content around the questions your buyers actually ask.


GEO addresses the technical signals, citations, and source authority that influence how AI systems discover, retrieve, and reference your content. Optimizing content for LLMs gives your brand a stronger foundation for appearing in relevant answers and supporting qualified pipeline.
AI search optimization helps your brand appear as a trusted source when buyers research products, services, and companies on platforms like AI Overviews, ChatGPT, Perplexity, and Gemini. It combines content, technical, and authority strategies to improve how AI systems retrieve and cite your information.
Traditional SEO primarily works toward stronger rankings in search results. AI search optimization is concerned with retrieval and citation: helping AI systems understand your brand, select your content as a source, and include it in relevant answers. The two strategies work hand in hand to optimize your brand’s visibility.
Measurement starts with a baseline of AI visibility, citations, and competitor presence, then tracks how those signals change over time. Revenue Analytics ties AI search performance to pipeline and revenue, providing a direct view of its contribution to business performance.
No. Content matters, but AI search optimization also considers how information is structured, understood, retrieved, and cited by AI systems. A strong strategy brings content, technical signals, authority, and citation opportunities together so your brand can compete for relevant buyer questions.
AI systems continuously change how they retrieve and cite information, and the time required depends on your starting point, competition, content, and technical foundation. We establish a baseline first, then track progress against that starting point.
The engagement starts with a visibility baseline and competitor comparison, followed by a prioritized roadmap covering content, structure, technical signals, and citations. Ongoing reporting tracks progress and connects AI search performance to pipeline and revenue through Revenue Analytics.