AEO Cases Reverse-Engineered: How Top B2B Brands Get Cited by AI

This webinar is for B2B marketing, demand generation, SEO, content, product marketing, and GTM leaders who want to understand how AI search affects visibility, category discovery, and pipeline. It is particularly relevant for teams selling complex products through multi-stakeholder buying journeys.

No. It is designed for teams at different stages—from those beginning to measure AI visibility to those already publishing AI-search content or using visibility tools. The session will help you distinguish useful activity from guesswork and identify the most relevant next step for your brand.

Rather than starting with generic best practices, we start with the outcome: which brands appeared, were cited, or were recommended in AI answers. We then examine the underlying signals that may have contributed—such as prompt relevance, content coverage, cited sources, persona differences, SEO foundations, and external authority.

Yes. 42DM will share relevant patterns and lessons from its AI-search research and client work, while Gumshoe AI will contribute quantitative insights from AI visibility analysis. Examples will be selected to illustrate actionable patterns without exposing confidential client information.

That is one of the questions the webinar will address. Strong traditional SEO can support AI visibility, but it is not the only factor. The discussion will explore the role of highly relevant content, source coverage, third-party credibility, buyer-specific questions, and citation opportunities for brands that are not yet dominant in conventional search.

There is no universal winner. The evidence points to a mixed source ecosystem, where different models and questions can surface different source types. The important question is which information sources are relevant to your buyers and their use cases.