WEBINAR 1:
Building Your GEO Signal Ecosystem:
Owned Media as a Reinforcement Engine
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AI search doesn’t reward a single great service page – it rewards consistency. The more your owned assets repeat the same core positioning, the more confidently AI can cite you in a recommendation.
Most brands have the opposite problem: blogs chase trends, case studies are written for humans, social content floats free. The result is a fragmented signal AI can’t assemble into a recommendation.
This webinar, presented by our SEO Director Andrew Holland, shows you how to turn your owned media into a reinforcement engine – auditing, prioritising and restructuring what you already have to systematically improve AI visibility.
You’ll learn:
✅ Why signal redundancy across owned assets builds recommendation reliability
✅ How to audit your content library for GEO signal gaps
✅ How to rewrite case studies and buyer guides for AI extraction, not just human readers
✅ How to structure decision-support content for maximum GEO impact
✅ Why case study structure for AI extraction is so important and the difference between a case study written for humans and one that AI can cite
You’ll leave with:
✅ The owned media reinforcement framework – a practical model for restructuring your content ecosystem
✅ A content audit template: how to score existing assets for GEO signal strength
✅ Practical ideas to action with your team immediately