From SEO to GEO: How brands build relevance in generative AI systems

Brands are already struggling with the fact that, despite excellent search engine optimisation (SEO), their content does not appear in the responses generated by AI systems. This new reality calls for a shift in thinking. Generative Engine Optimisation (GEO) provides a robust framework for becoming visible, citable and relevant within generative systems. The concept, which has been established through research, promises a significant increase in visibility – by up to 40 per cent in tests such as the GEO-Bench. The following ten pillars form a structured approach to unlocking this potential.

What is GEO? Origin, definition & meaning

Generative Engine Optimisation (GEO) is the optimisation of digital content with the aim of maximising its visibility in the responses generated by generative AI systems. This is evident from the research that coined the term. Unlike traditional SEO, which aims for a high ranking in search results, GEO focuses on being directly quoted by the AI, used as a source, or integrated into the generated response in terms of content.

A groundbreaking study on GEO benchmarking has demonstrated that applying specific GEO principles can increase visibility in AI responses by up to 40 per cent. In specialist articles, GEO is therefore already being hailed as the next stage in the evolution of search optimisation. The paradigm shift is clear: whilst traditional search was based on links, GEO is based on language, context and trust.

The 10 pillars of GEO – Details and implications

The GEO Framework is based on ten core principles that work together to optimise content for AI systems.

1. Optimise query intent

This pillar requires us not only to focus on keywords, but also to understand the ‘why’ behind a search query. Content must be designed to directly meet users’ needs and provide a clear answer, rather than simply being optimised for search rankings.

2. Structure for machine readability

AI systems can process content more effectively when it is clearly structured. This includes a logical hierarchy (H1, H2, H3), the use of semantic HTML elements, and the enrichment of content with structured data via schema.org. A clean structure is a key indicator of quality and readability.

3. Building entity and brand authority

This is about building a consistent digital identity. A uniform brand name (entity) and semantic links to relevant topics establish clear authority. Repeated, consistent mentions across different platforms signal to the AI what a brand stands for.

4. Earning external citations

For AI systems, citations in trustworthy external sources often carry more weight than traditional backlinks. Mentions on specialist portals, in academic publications or on platforms such as Wikipedia serve as strong evidence of credibility and relevance.

5. Emphasise the freshness of the content

Timeliness is a key indicator of relevance. Regular content updates, the inclusion of the latest figures and current examples show an AI that the information is not out of date. AI systems have been shown to favour up-to-date content.

6. Optimise metadata and signals

Titles, meta descriptions, alt text and other metadata provide important contextual clues. They help AI models to interpret and categorise the content correctly. These signals are a fundamental part of on-page optimisation for GEO.

7. Use multimodal content

AI systems learn more effectively from a combination of different content formats. Enriching text with graphics, data tables, videos and other visual elements creates a richer context and increases the likelihood that the content will be used as a comprehensive source.

8. Prioritise quality and depth

In the age of AI, superficial content is rapidly losing its significance. Evidence-based, in-depth articles that back up their claims with valid sources ensure long-term visibility. Quality and substance are crucial factors for credibility.

9. Adapt the engines’ bias

Different AI systems weight content differently. ChatGPT, Google AI Mode and other models each have their own preferences regarding format, tone and structure. A successful GEO strategy adapts to these platform-specific characteristics.

10. (Open) Community feedback & iteration

Communities serve as a valuable barometer for identifying relevant topics and gaps in visibility. Feedback from forums, Q&A platforms and user enquiries should be used to continuously refine your own GEO strategy and adapt it to the needs of the market.

Strategies and tools for the practical implementation of GEO

Implementing GEO requires a systematic approach. A tried-and-tested workflow comprises the following steps: auditing existing content, reviewing the content structure, developing a sourcing strategy, carrying out regular prompt tests to measure success, and continuous iteration.

To support this process, the first tools are already available, such as the Semrush AIO/AI Visibility Toolkit, which help with analysing and tracking prompt results. Optimising a single key page for a core query can serve as a pilot project. The insights gained from this can then be scaled up to other content.

Challenges and limitations of GEO

Despite its great potential, GEO also presents challenges. The ‘black box’ nature of many AI systems means that a citation is never guaranteed. Furthermore, there is a risk of ‘hallucinations’, whereby the AI generates incorrect information or references.

Another risk lies in over-optimisation, where content is structured so heavily for AI that the user experience suffers. Smaller brands also face the hurdle that AI models often favour established, large brands in their responses. Finally, these new possibilities also raise ethical questions regarding the line between legitimate optimisation and deliberate manipulation.

Conclusion

The 10 pillars of GEO provide a robust and future-proof framework for planning and implementing AI visibility. The concept moves away from short-term tactics towards a strategic approach to building authority and trust. Brands that embed GEO as an integral part of their digital strategy today secure a decisive advantage: they gain sustainable visibility, build trust and strengthen their influence in the age of artificial intelligence.