BrightonSEO

GEO

Getting Your Brand Recommended by AI Agents: A Practical Guide to GEO

Brighton, October 2026

Search is no longer just a page of links to scroll. Increasingly, it's a single answer chosen by an AI agent, and the brands that understand how that choice gets made are the ones that end up recommended. With AI agents now completing purchases inside closed ecosystems, without a human ever visiting a product page, brands that aren't built for machine-readable decision-making risk being absent from those workflows.

So what decides whether yours gets mentioned?

In this session, Jean Dejsuvan, Organic Performance Director at MG OMD, covers:

- Why LLMs don't behave like traditional search engines, and why "AI ranking" is the wrong mental model

- What actually makes a brand visible and citable to them, from structured data to consistency across the sources models read

- The common mistakes quietly draining brands' time and budget

If you own SEO, content or digital strategy, you'll leave knowing exactly where to focus before your competitors catch on.

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About this session

Auditorium 1, Brighton Centre, Kings Road, Brighton and Hove, Brighton, BN1 2GR, United Kingdom

Thu 08 Oct, 2026 | 09:30 AM

Information Gain: The Missing Metric in Every GEO Content Strategy?

Brighton, October 2026

Thought leaders profess that GEO requires a scaled content strategy of 100–300 pieces of Ultra Long Tail content at a cadence of 1 blog/day.

At that cadence and volume, you can't use classic SEO playbook. So they resort to AI + Human workflows.

Said workflows produce content at a somewhat faster cadence than before. More pages, more FAQs.., without asking whether if said content is “net new” for the LLMs, what the LLMs are hungry for, and what actually shifts the needle of what an LLM says about a brand.

This talk introduces Information Gain (IG) as the metric that's missing. IG is a way of scoring whether a piece of content is genuinely novel relative to what the models already know versus just retraining them on what they’ve already crawled.

Drawing on real RAG pipeline architecture (chunk retrieval, source traceability to avoid hallucination, IG-Corpus vs IG-Model scoring), Paris will show why Information Gain is what practitioners should actually consider prior to targeting another piece of content.

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About this session

Auditorium 1, Brighton Centre, Kings Road, Brighton and Hove, Brighton, BN1 2GR, United Kingdom

Thu 08 Oct, 2026 | 09:30 AM