Resonance Launches GEO Search, an AI Visibility Engine for B2B Tech

Resonance has unveiled a new AI driven tool called GEO Search, introducing a fresh approach to how B2B technology brands monitor and influence their presence in the era of generative AI driven purchasing. The free tool enables companies to understand precisely how large language models portray them during different stages of the buying journey and what factors influence whether a brand is recommended to buyers.

The launch is backed by what Resonance describes as the largest AI search research initiative conducted in B2B tech marketing to date. GEO Search is built on over 100,000 buyer intent queries tested with leading generative AI systems, resulting in more than 946,000 brand mentions across 34,000 companies and over one million categorized URL citations. As part of the analysis, the company benchmarked visibility across 113 distinct B2B technology segments.

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The findings show that generative AI is reshaping how buyers evaluate solutions and that brands must rethink their visibility strategies. With generative tools now producing single, consolidated responses instead of a traditional list of links, the selection process is happening inside the AI model itself. According to research from Forrester cited by Resonance, 89 percent of B2B buyers now use platforms such as ChatGPT, Claude, or Gemini at some point during research. A brand that does not appear in these AI generated answers may never enter the buyer’s consideration.

“If you are not visible in AI answers, you are invisible to the buyer,” said Claire Williamson, Founder and CEO of Resonance.

The GEO study highlights several major factors influencing presence in AI generated shortlists. Earned media has become the most important driver of AI visibility, with publications acting as the top source referenced by LLMs when recommending vendors. Analyst insights and peer review platforms such as Gartner, G2, IDC, and TrustRadius hold significant weight as buyers move into evaluation. Visibility also varies widely by category, with each sector influenced by different trusted sources and industry signals.

Tom Fry, CTO and co founder, addressed the misconception that AI visibility happens randomly. “The myth is that AI search is random. It isn’t,” said Fry. “LLMs follow patterns, and those patterns can be influenced. Once you know which sources AI trusts in your category, you can shape visibility. The research proves that in AI search, citations and brand mentions are the new clicks.”

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Resonance positions GEO Search as a new type of search engine focused specifically on AI era branding. Rather than listing pages from the web, the tool reveals the questions buyers ask inside LLMs, displays the answers in real time, and shows how a brand is positioned against its competitors. It also exposes whether the model is framing the brand accurately or missing it altogether. With a simple brand or category search, companies can immediately assess where they stand in AI driven buying recommendations.

Resonance argues that many B2B marketers still believe Google visibility directly translates to AI visibility. GEO Search results show this is no longer true. Some leading brands are surfaced alongside unexpected competitors, while others are misrepresented or entirely absent from AI responses. The company helps clients correct positioning issues, strengthen trusted signals, and activate earned media strategies to increase their presence inside generative research.

GEO Search is publicly accessible beginning today at https://geosearch.co, giving brands a new way to evaluate their AI era competitiveness and take control of how they show up in the fast evolving world of LLM led decision making.