How B2B Brands Win Generative AI Citations
▼ Summary
– Marketing teams must prioritize appearing in AI search summaries and chatbot answers as customers shift from conventional search to AI for research.
– Research analyzing over 1,000 prompts shows most B2B brands have low AI visibility, with many appearing in less than 5% of relevant AI-generated answers.
– Having the right content on a brand’s own website is critical for visibility, but relying solely on owned content offers diminishing returns for GEO strategy.
– Video content, especially on platforms like YouTube, is essential for AI visibility, and LinkedIn articles remain surprisingly influential for B2B brands.
– Owned media sites are cited in AI answers more than twice as often as earned media, contradicting some promoted wisdom about earned media’s authority.
For marketing teams today, a central challenge is adapting to the shift from traditional search engines to AI-powered research tools. While search engine optimization (SEO) remains essential, securing a place within AI-generated summaries and chatbot responses is now equally vital for brand visibility. The rush to master generative engine optimization (GEO) has led to a flood of conflicting advice. To cut through the noise, we conducted original research to identify what truly determines whether a B2B brand appears in generative AI outputs.
Our investigation utilized a leading GEO analytics platform to examine brand mentions and website citations across AI answers. The scope was significant, tracking over 1,000 specific prompts related to 29 different B2B brands. These queries were processed through four major AI engines: ChatGPT, Perplexity, Grok, and Google’s Gemini. The companies represented a cross-section of B2B technology sectors, including industrial automation, software, semiconductors, and logistics, with a focus on enterprise and midsize businesses. The prompts were generated based on the core topics and questions each brand aimed to rank for, with all analysis conducted using English-language inputs and outputs.
The findings from this extensive data set reveal clear patterns and counterintuitive insights about B2B AI visibility.
A significant visibility gap exists for most B2B brands. We measured AI visibility as the frequency a brand is cited in relevant prompt answers. The data showed that only 21% of brands appeared in more than a quarter of the answers that mattered to their business. Even more striking, one-third of the brands studied had a visibility rate below 5%. This isn’t simply a case of studying poorly optimized companies; in two-thirds of the B2B categories analyzed, the top-ranked brand still had less than 25% visibility. This presents a serious concern: as B2B buyers increasingly turn to AI assistants, most suppliers risk fading from view if they don’t adapt.
High-quality website content is a fundamental driver. The analysis confirmed that a brand’s own domain is crucial. Brands whose websites ranked among the top ten most-cited domains achieved an average visibility of 25%. In contrast, those outside the top ten averaged only 7.6% visibility. However, there are diminishing returns; the single most-cited domain in a category averaged just 31% visibility, indicating that a GEO strategy cannot rely solely on owned content.
Conventional wisdom about Wikipedia and Reddit often doesn’t apply to B2B. Contrary to popular belief, these platforms showed limited influence for the brands in our study. For 60% of brands, Wikipedia did not rank among the top 25 cited websites, and for 30%, it wasn’t cited at all. Reddit’s impact was even smaller, failing to make the top 25 for 83% of brands. This likely reflects that B2B technology topics generate less discussion on Reddit compared to consumer products. It’s worth noting that ChatGPT has exclusive data access to Reddit, so if that model is a priority, a targeted community engagement strategy could still be valuable.
A multi-format content strategy is non-negotiable. Relying only on written content is insufficient. Video is a critical component, with YouTube appearing in the top 25 cited domains for about 75% of brands. While Google’s Gemini model was most likely to reference YouTube videos, all AI engines utilized video content. Furthermore, LinkedIn emerged as a surprisingly powerful platform, ranking in the top 25 domains for 37% of brands. Long-form articles published on LinkedIn, even older posts, are being cited in AI answers, making a strong content presence on the platform a sensible GEO tactic.
Owned media currently holds more weight than earned media. Despite prominent AI executives emphasizing the authority of earned media, our data shows that owned media sites are cited more than twice as often as earned media outlets in B2B tech contexts. This means brands must prioritize creating robust content for their own websites, as well as for channel and ecosystem partners. Interestingly, the earned media that does impact AI answers often differs from a brand’s traditional “top tier” press list. Sometimes, niche trade publications or outlets considered less influential by PR teams drive a substantial portion of citations seen by the target audience using AI.
Building an effective GEO strategy requires moving beyond guesswork. Success depends on a detailed, data-driven analysis of your specific market to understand what influences the major AI models. This research demonstrates that much of the accepted wisdom is flawed. For long-term relevance, B2B companies must systematically ensure their brand is present in the AI answers their customers and prospects receive.
(Source: MarTech)
