GEO - Generative Engine Optimization

The SEO of the AI Age: Generative Engine Optimisation

Search behaviour is undergoing a fundamental transformation. Users are increasingly getting their answers from AI interfaces like ChatGPT, Perplexity, Google AI Overviews or Claude rather than Google's ten blue links. In this new environment, traditional SEO signals alone may not be enough - because AI engines do not rank content, they select it and synthesise it. GEO (Generative Engine Optimisation) is a strategic discipline designed to ensure your brand is used as a source in this synthesis process.

The technical pillars of a GEO strategy are: guidance to AI crawlers via llms.txt about your site structure and priority content; clarifying the semantic context of pages for machines with Schema.org structured data; strengthening E-E-A-T signals at the content and technical layer; positioning the brand as a trusted source through backlinks and citations from authoritative sources; and registering your site as a directly callable service for AI agents via WebMCP (Web Model Context Protocol).

GEO targets not just being visible in search results but being cited as the correct source in AI-generated answers. With WebMCP compatibility this goal goes a step further: your brand is no longer just a name mentioned in an answer, but a service with which AI agents interact directly. This layered approach is a powerful complement to traditional SEO for corporate brand awareness and long-term organic growth.

Our GEO Optimisation Process

We start by analysing your brand's current AI visibility: we examine which sources are cited in AI-engine responses to sector-related queries across ChatGPT, Perplexity, and Google AI Overviews. Content gaps relative to competitors are identified, and content formats preferred by AI engines - definition pages, comparison content, expert commentary - are incorporated into the strategy.

At the technical infrastructure layer, the llms.txt file and sitemap are updated; JSON-LD structured data is added to all strategic pages; and the WebMCP endpoint is configured. At the content layer, an E-E-A-T strengthening plan is executed: content is made authoritative through author profiles, source attribution, original data, and expert citations. Progress is tracked with a monthly AI citation monitoring report.