WEBINAR | JUNE 9, 11 AM ET / 4 PM BST
Go-to-Guide to Verticalized GEO: Why Generic AI Search Strategies Are Failing Brands
Most GEO advice assumes there’s one universal playbook for winning visibility in AI-generated search results. Our latest research proves otherwise.
Join Marketbridge for an exclusive webinar unpacking findings from our analysis of 17,000+ AI citations across cybersecurity, cloud computing, B2B software, healthcare, financial services, and industrial manufacturing. We’ll reveal how generative engines evaluate authority differently by industry, and what marketers must do now to improve AI visibility.
Walk away with:
- Industry-specific GEO insights grounded in real citation analysis
- A clearer understanding of how AI search differs from traditional SEO
- Strategic guidance for content, PR, communications, and digital teams
- Immediate opportunities to improve generative search visibility
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Led by Niall Moran
Head of PR & Digital Listening, Marketbridge
Niall leads PR for Marketbridge in EMEA and heads the agency’s Generative Engine Optimization (GEO) offering. With more than 12 years of experience across cybersecurity, AI, cryptocurrency, and Web3, he specializes in helping brands improve visibility, authority, and influence in AI-driven search environments through data-led PR, content, and digital strategy.
Register for the webinar
Access the report that this webinar will be diving into ahead of time.
This report offers a data-backed examination of why, what and how industry specific plays beat generic best practices when it comes to maximizing brand visibility in AI-generated answers. There’s no shortage of advice on Generative Engine Optimization (GEO): structure your content, build authority, optimize for AI.
But here’s the reality: Generic best practices only scratch the surface.
We examined 17,000+ citations across multiple industries, including cybersecurity, cloud, healthcare (B2B + B2C), financial services, industrial manufacturing, and B2B software. Our research shows that generative engines do not evaluate credibility uniformly.
