Helping Brands Navigate The New Search Era
This three-part webinar series cuts through the noise. Whether you're in content, PR or in the boardroom, you'll leave with a clear, practical framework for building the kind of AI visibility that drives real commercial outcomes.
WEBINAR ONE
Building Your GEO Signal Ecosystem: Owned Media as a Reinforcement Engine
How to create a content ecosystem that multiplies your recommendation probability
Whose it for: Digital PRs, PR Managers, Brand Marketers, Agency Teams – anyone responsible for building brand visibility in earned media.
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
WEBINAR TWO
Why Digital PR Is Now Your Most Powerful AI Visibility Tool
The definitive webinar on earned media’s role in AI Search
Whose it for: Digital PRs, PR Managers, Brand Marketers, Agency Teams – anyone responsible for building brand visibility in earned media.
AI systems don’t trust brands talking about themselves – they trust what credible third parties say. Every PR placement, every trade mention, every expert quote is a signal AI uses to decide who to recommend.
Most PR campaigns aren’t built with this in mind and this webinar changes that.
Presented by JBH Digital PR Director Rebecca Moss, you’ll learn exactly which campaign formats drive AI visibility, which publications AI systems trust most, and how to design campaigns that deliver for both traditional PR and GEO outcomes simultaneously.
What this webinar covers:
- How AI systems use third-party validation to build ‘recommendation certainty’ and why this is the PR opportunity
- Which publications AI systems trust most and how to identify them for your sector
- The three campaign formats that produce the strongest GEO signals: original research, expert commentary and trade bylines
- How to design a Digital PR campaign that delivers for both traditional KPIs and GEO outcomes simultaneously
- How to measure the AI search impact of PR campaigns: moving beyond coverage volume and DA scores
You’ll leave with:
- A framework for evaluating any PR campaign’s GEO potential before you pitch
- The AI search campaign checklist
- Practical brief language to take back to your team immediately
WEBINAR THREE
GEO at Board Level: Building the Business Case and Measuring What Matters
How to present, prioritise and prove GEO as a commercial strategy
Whose it for: Marketing Directors, Founders, Senior Stakeholders, Heads of SEO – anyone responsible for building the business case for AI search and reporting on performance to the c-suite.
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