Generative Engine Optimisation (GEO) focuses on enhancing your visibility and authority within AI-driven large language models (LLMs) and other generative AI platforms. In contrast, Search Engine Optimisation (SEO) is concerned with improving your ranking on traditional search engines such as Google and Bing.
While both aim to increase online visibility, their methodologies and target platforms diverge significantly. SEO operates by optimising content for algorithms that crawl, index, and rank web pages based on keywords, backlinks, and site structure. Its primary goal is to drive organic traffic to a website from specific search queries. GEO, however, involves structuring information, developing specific content schemas, and establishing clear semantic relationships that enable LLMs to accurately understand, summarise, and articulate your value proposition when responding to user prompts.
We have developed GEO to ensure that generative AI models correctly interpret and present our clients' offerings and expertise. This involves working with our clients to refine their digital footprint beyond conventional website optimisation, focusing instead on how their unique selling propositions (USPs) and industry authority are consumed and synthesised by advanced AI systems. It’s about being the authoritative, relevant, and preferred answer source for generative AI queries, not just a high-ranking search result.
As generative AI becomes an increasingly primary method for B2B buyers to research solutions, being optimised for these platforms is no longer optional. Poor GEO can result in AI models misrepresenting your services, omitting your company from relevant responses entirely, or directing potential clients towards competitors. Effective GEO ensures that when a prospect asks a generative AI about solutions you provide, your business is accurately and prominently featured, translating directly into a more robust and qualified sales pipeline.