Ep. 196: How Your B2B Content Can Be Found by AI Search

The episode opens by framing generative engine optimization (GEO) as the next evolution of traditional SEO. While AI‑driven search tools like ChatGPT appear to rewrite the rules, the fundamentals—high‑quality content, solid site architecture, and earned backlinks—still power visibility. For B2B SaaS firms, the shift matters because large language models (LLMs) now curate answers from the entire web, turning every piece of content into a potential citation. Understanding this new curation layer helps marketers see why AI isn’t a separate channel but an extension of the search ecosystem.

Adrian Dolan stresses moving from a channel‑centric mindset to an authority‑centric strategy. Instead of betting on a handful of paid or social platforms, brands should embed themselves where LLMs source credibility: community hubs like Reddit, Quora, and niche industry forums, as well as high‑authority sites such as Wikipedia. Digital PR and earned media act as signal boosters, reinforcing brand authority both for human readers and AI models. The conversation highlights the risk of overt self‑promotion—especially on Reddit, where moderators enforce strict promotional limits—underscoring the need for authentic, helpful participation that earns up‑votes and citations.

For actionable implementation, the hosts recommend three steps: (1) map the platforms where your target buying committee already converses and prioritize authentic engagement; (2) develop a digital‑PR pipeline to secure mentions in reputable publications, turning those citations into AI‑friendly signals; and (3) partner with specialists who stay current on GEO tactics, ensuring your team can experiment without over‑extending resources. By treating AI as a consultant that reads and synthesizes the web, B2B marketers can future‑proof their content strategy, avoid the pitfalls of spam, and build lasting authority that resonates across both human and machine audiences.