brightonSEO: Beyond The Prompt – Integrating LLMs to Map Your Brand’s Invisible Barriers
brightonSEO once again proved why it remains one of the most important events in the digital marketing calendar, bringing together industry leaders to discuss the future of search, AI and online discovery. Across the conference, one message was impossible to ignore: search is changing rapidly, and brands need to rethink visibility in an AI-driven world.
Representing Tug on the main stage, CEO Nick Beck delivered a talk titled “Beyond The Prompt: Integrating LLMs to Map Your Brand’s Invisible Barriers”, exploring how large language models are transforming the way searchers discover brands online.
As Nick explained, “search is sexy again” – but today it extends far beyond traditional rankings. Social search and AI-powered experiences are disrupting search behaviour and reshaping the industry itself. Increasingly, visibility is no longer determined by where a brand ranks on Google, but by whether AI tools recognise, trust and recommend that brand in generated responses.
A key focus of the session was the brand visibility problem, as Nick described it. Many brands are being excluded from AI-generated recommendations not because they lack relevance, but because AI systems don’t believe they’re the best or most credible option.
To succeed in this new landscape, brands need to be understandable, credible and accurate across the wider digital ecosystem. That means establishing a clear purpose, maintaining strong E-E-A-T foundations and ensuring consistency across every source AI models may reference.
Nick also highlighted the growing importance of understanding why competitors appear in AI-generated answers while others don’t. Optimising content without understanding those underlying barriers is ineffective. Instead, brands need to uncover the “invisible barriers” within LLM knowledge.
Nick’s talk explored how brands can move beyond basic optimisation and towards what we call “AI advocacy”, creating the conditions for AI systems to actively recommend and support a brand. Through AI inclusion, brands can track visibility, identify the citations that power LLM knowledge, and uncover topic gaps where competitors are outperforming them. From there, the focus shifts to understanding advocacy itself: why certain brands are surfaced confidently by AI platforms while others are overlooked, and what practical actions can improve that visibility. As AI search continues to evolve, understanding advocacy is becoming a major competitive advantage.
Beyond the main stage, the wider conference reinforced many of these themes. Sessions explored the growing impact of AI on consumer trust, content quality, and the future of search behaviour. Discussions around the environmental impact of large-scale AI adoption highlighted the need for more intentional, sustainable use of AI tools, while other talks focused on the growing importance of prompt-led search strategies and on understanding how platforms like ChatGPT and Perplexity interpret brand information.
Across every session, one thing became clear: AI search is no longer a future trend; it’s actively reshaping digital visibility today. The challenge for brands is no longer just creating more content, but ensuring AI systems can confidently understand, trust and advocate for them.
If you’d like to understand how your brand is being represented in AI search – and how to improve inclusion and advocacy across LLM platforms – get in touch with the team.
