The distinction between Generative Engine Optimisation (GEO) and Search Engine Optimisation (SEO) lies in their fundamental approach to visibility and engagement. While both aim for online prominence, they target different engines and content consumption patterns. SEO is the established practice of optimising content for traditional search engines like Google, focusing on keywords, backlinks, and technical elements to rank for specific queries. GEO, a newer discipline, optimises content for generative AI models and large language models (LLMs), ensuring a business's accurate and preferred narrative is presented when AI synthesises information or generates responses.
SEO works by refining website content, technical architecture, and off-page signals to improve a site's ranking in organic search results. This involves meticulous keyword research, content creation that addresses search intent, technical audits, and strategic link building. The goal is to appear high on a search engine results page (SERP) when a user types a specific query. GEO, conversely, involves curating and structuring a business's digital footprint in a way that AI models can reliably access, understand, and utilise. This extends beyond website content to encompass all public-facing digital assets, ensuring consistency and authority. It’s about being accurately represented when an AI, rather than a human directly, interprets and disseminates information about your company.
For B2B businesses, the distinction is becoming critical as buyers increasingly leverage AI tools for research and decision-making. By 2026, AI models will likely serve as primary information gatekeepers, synthesising data from across the web. If a B2B company is not optimised for GEO, its narrative may be misrepresented or entirely absent from AI-generated summaries and recommendations. This directly impacts brand awareness, lead generation, and competitive positioning. Focusing exclusively on SEO, while still important, will not guarantee visibility in an AI-dominated information landscape. Our Generative Engine Optimisation strategy helps clients ensure their expertise and offerings are accurately reflected by AI, thereby influencing the earliest stages of the B2B buying cycle.
A common misconception is that GEO is simply a new form of SEO, or that optimising for SEO automatically covers GEO. This is incorrect. While there can be overlap in content quality, GEO requires a distinct strategic approach. SEO focuses on ranking within search algorithms; GEO focuses on the accurate and authoritative representation of information within generative AI models. Another misconception is that GEO is only relevant for consumer-facing brands. In reality, B2B companies, often with complex solutions and longer sales cycles, stand to benefit significantly from ensuring AI accurately articulates their value propositions to potential enterprise clients conducting research via AI assistants.