Search behaviour is evolving at a rapid pace and brands are seeing less clicks as users are asking questions directly in AI tools rather than browsing traditional search results.
This shift is creating a new layer of competition for visibility. Brands are no longer competing just for search engine rankings, they are now competing to be referenced within the sources that AI systems rely on to generate answers.
Platforms such as ChatGPT, Google AI Overviews and Perplexity generate answers by drawing information from trusted sources across the web and Generative Engine Optimisation, often shortened to GEO, focuses on strengthening the signals that influence how brands appear within these AI-generated responses.
What is Generative Engine Optimisation?
Generative Engine Optimisation is the process of improving how your brand is surfaced, cited and understood within AI-generated answers.
While traditional SEO focuses on improving rankings in search engine results pages, GEO builds on this by strengthening the signals that AI systems rely on when interpreting and referencing brands.
Why GEO matters
As AI-powered search becomes more common, the way users discover brands is changing. Instead of clicking through several search results, users increasingly receive summarised answers directly in the SERPs and on LLMs like ChatGPT and Gemini. These answers are generated using information pulled from across the web.
If your brand is consistently referenced within trusted sources, it becomes more likely to appear within those AI-generated responses. If not, then your competitors may shape the conversation instead.
Where AI systems get their information
Large language models draw on a wide range of signals when generating responses. For brands looking to improve their visibility in AI-driven search, strengthening these signals becomes increasingly important:
Authoritative websites and publications
AI systems tend to prioritise information from websites that demonstrate strong authority and credibility within a given topic. This often includes well-established publications, recognised industry websites and brands with a consistent digital presence.
When a brand is mentioned regularly across trusted sources, those references help reinforce its relevance to specific topics. Over time, this can increase the likelihood that the brand is surfaced when AI systems generate answers related to that subject.
Digital PR has never been more important for this, with many brands investing heavily in getting their brand mentioned and linked to from credible, authoritative and relevant sources.
Well-structured and clearly organised content
The structure of information plays a significant role in how AI systems interpret content. Pages that clearly explain a topic, answer common questions and present information in a logical format are easier for both search engines and AI systems to interpret.
Content that uses clear headings, concise explanations and strong topical focus provides stronger signals about what the page is about and how it should be referenced in generated answers.
While both SEO and GEO should remain focused on the end user, clear page structure plays an increasingly important role in how content is interpreted and surfaced. That places greater value on well organised information, such as FAQs, schema markup and content that is easy for both users and machines to understand.
Consistent brand signals across the web
AI models develop an understanding of brands by analysing how they are referenced across the wider web. Consistent brand signals, such as mentions on reputable websites, clear descriptions of products or services and alignment between different sources, help strengthen that understanding.
When information about a brand appears across multiple credible sources, it creates a stronger signal that the brand is relevant and trustworthy within a given category.
Community discussions and expert commentary
Many AI systems incorporate insights drawn from online communities, forums and discussion platforms. Conversations between practitioners, customers and enthusiasts often provide valuable context around products, brands and industry topics.
When brands appear naturally within these discussions, whether through reviews, recommendations or expert commentary, they become part of the wider digital conversation that AI systems may reference.
Video platforms and expert-led content
Video platforms, particularly those featuring expert commentary or product demonstrations, can also influence how topics are interpreted by AI systems. Video content often provides detailed explanations, reviews and tutorials that contribute to the overall understanding of a subject.
Brands that produce useful, informative video content or appear within trusted creator channels may strengthen their visibility within this broader information ecosystem.
How GEO differs from traditional SEO
SEO and GEO are closely related but they are not identical.
SEO focuses on improving rankings within search engines which includes technical optimisation, content strategy, internal linking and authority building through backlinks and brand citations.
Generative Engine Optimisation expands that scope by focusing on how information about your brand is interpreted and referenced across the wider web.
In practice, GEO often builds on strong SEO foundations such as page structure and topical relevance while placing additional emphasis on authority, brand signals and trusted sources from across the internet, not just on your own website.
The impact of AI-driven search can already be seen in Google’s AI Overviews and other generative search experiences. When users ask detailed questions, the search engine now generates a summarised response using information gathered from multiple trusted sources.
The example below shows our client Laud Sleep referenced (highlighted in yellow) in Google's AI overview for their bamboo silk bedding range. This type of example builds brand credibility before even visiting the website.
How brands can improve their AI visibility
Improving visibility within AI-generated responses requires strengthening the signals that help AI systems understand your brand, expertise and relevance to specific topics. While there is no single tactic that guarantees inclusion in AI answers, several areas consistently influence how brands are interpreted and referenced.
Strengthening brand authority through credible mentions
One of the strongest signals influencing AI visibility is brand authority. When a brand is mentioned across credible publications, respected industry websites and trusted media outlets, it reinforces its association with specific topics and categories.
These mentions help build a broader web of references that AI systems can draw upon when generating answers. Digital PR, expert commentary, industry features and thought leadership content all play a role in strengthening these authority signals.
Improving the clarity and structure of on-site content
AI systems rely heavily on clearly structured content when interpreting information. Pages that explain topics logically, use descriptive headings and answer specific questions are easier for both search engines and AI models to understand.
This means that content frameworks matter. Well-organised pages, strong topical focus and clear explanations help ensure that the information AI systems encounter about your brand is accurate and easy to interpret.
Building visibility within trusted industry platforms
AI models often draw insights from the broader ecosystem surrounding an industry. This includes platforms where professionals, customers and communities discuss products, services and trends.
When brands are visible within relevant industry platforms, whether through discussion, commentary or useful contributions, they become part of the wider digital conversation. These signals can influence how topics and brands are interpreted within AI-generated answers.
Ensuring consistent messaging across authoritative sources
Consistency plays a significant role in how AI systems understand brands. When a company’s services, expertise and positioning are described consistently across websites, publications and profiles, it reinforces a clear association between the brand and the topics it is known for.
Inconsistent messaging can dilute those signals. Ensuring that descriptions, expertise and positioning align across the web helps strengthen the brand’s topical authority.
Developing content that explains the topics AI systems reference
AI-generated answers often draw on explanatory content that clearly defines concepts, answers questions and provides useful context around a topic.
Brands that create well-structured guides, educational resources and explanatory content help contribute to the knowledge ecosystem that AI systems rely on. Over time, this type of content can increase the likelihood that the brand becomes associated with key industry topics.
The future of search visibility
Search engines are evolving into answer engines. Instead of simply returning links, they increasingly provide summarised responses generated from multiple sources.
For brands that rely on search visibility to generate demand, understanding how these systems work will become increasingly important.
Generative Engine Optimisation is one way organisations can adapt to this shift and ensure their brand remains visible as search continues to evolve.
Learn more about our GEO services
If you want to understand how your brand currently appears in AI answers, our Generative Engine Optimisation services help brands improve the signals that influence AI-driven search visibility.