SEO Isn't Enough: B2B Tech Companies Need an AI Visibility Strategy
For two decades, search engine optimization dominated marketing strategy for B2B technology companies.
The playbook was straightforward: identify high-volume keywords, create targeted landing pages, publish blog posts, secure backlinks, and rank on page one of Google. Winning Google real estate meant winning the pipeline.
Today, that ecosystem is under significant pressure. McKinsey predicts that unprepared brands may experience a 20 to 50 percent decline in traffic from the traditional search channels. Forward-looking companies should pay attention to three forces that are reshaping how B2B buyers find and evaluate vendors.
The Rise of AI-Powered Search
Buyers are increasingly turning to answer engines powered by AI rather than traditional search engines. The summaries generated by Claude, Google Gemini, ChatGPT and others reduce the need to click through to a website for information. The new goal goes beyond ranking to being cited. LLM optimization, or Generative Engine Optimization (GEO), is how companies achieve that.
Information Overload and the Trust Deficit
Ubiquitous AI has made content easy to produce to the point of commoditization. As a result, SEO content has been pushed further down in user interactions. Buyers looking for credible information are turning to Reddit, podcasts, and peer review platforms. Any content produced by B2B companies needs to be original, informative, and structured in a way that AI is likely to surface and recommend.
Zero-Click Intent
Search pages are now crowded with rich snippets, video previews, and AI summaries. The goal is to engage users immediately without requiring a click. For B2B companies, this means optimizing for impressions and mindshare directly on the search page, not just for traffic to a destination.
What This Means for Your Existing SEO Investment
The good news is that SEO work is not wasted. Even though LLMs synthesize content rather than rank pages, they surface strong online content in their answers. Pages with strong crawlability, clear structure, and baseline search presence are valuable to AI systems. B2B companies should ensure their sites are fast, well structured, and accessible to crawlers.
SEO is evolving from a game of keywords and traffic into a game of authority and context. B2B technology brands can no longer rely on gaming an algorithm. They have to genuinely own the narrative around their category.
What GEO is in Practice
GEO is not a single tactic. It is a system of signals built over time across sources such as earned media, thought leadership, analyst relationships, and third-party validation.
In our work with a B2B security company, we focused nine months of effort on building exactly those signals: 68 earned media placements across business and technology publications, executive thought leadership in category-relevant outlets, and consistent narrative alignment across every external touchpoint. The result was a 113% increase in the client's LLM presence, meaning AI systems were surfacing and recommending the company significantly more often and more accurately than before the engagement began.
What drove that result was not a single breakthrough piece of content. It was the accumulation of corroborated, consistent signals that AI systems could find, evaluate, and trust. A placement in a tier-one technology publication tells an AI system that a company has credibility in its field. A contributed byline in an industry journal tells AI that the industry values a company’s expertise. Analyst coverage tells AI that independent third parties have evaluated and validated your position.
The work of B2B technology marketers now serves two audiences simultaneously: the buyers you want in the pipeline, and the AI systems those buyers are increasingly asking for recommendations.
The Next Chapter of B2B Discovery
Change in the technology sector is rarely gentle, and the shift from SEO to GEO is no different. Adapting to this new era requires a shift in mindset:
Measure mindshare, not just traffic. Zero-click searches mean your impact happens on the results page itself, not after a click.
Optimize for AI engines. Ensure your data, case studies, and points of view are structured so LLMs can find and cite them easily.
Double down on original insight. AI can synthesize existing information but it cannot create original research, proprietary data, or unique founder perspectives. That is your advantage.
Companies should be building their GEO strategy now. The organizations that pivot from keywords to true topical authority will be the ones defining the technology landscape for the next decade.
Anne Coyle is the founder of Coyle Emerald Narratives, a Boston-based B2B technology consultancy specializing in Generative Engine Optimization and AI visibility.