The gap between SEO spend and buyer behavior
37% of B2B buyers now consult AI before Google when researching purchases. That is not a projection — it is current behavior documented in multiple 2025–2026 industry studies. What Metricus found through our AI visibility report data is that most B2B brands are investing heavily in Google SEO while being completely invisible in the AI channel where over a third of their buyers start their research.
The data: Gartner projects traditional search volume will drop 25% by 2026 as users shift to AI. Meanwhile, most B2B marketing budgets allocate zero dollars specifically to AI visibility.
The gap is real and measurable
What we found when auditing B2B SaaS brands is that Google rankings do not predict AI visibility. A brand can rank #1 for a target keyword on Google and be completely absent from AI recommendations for the same query. In our data, there was no statistically significant correlation between Google rank position and AI mention rate. The optimization signals are fundamentally different.
Why Google SEO does not translate to AI visibility
Google ranks pages based on backlinks, keyword relevance, and technical SEO factors. AI chatbots synthesize answers from training data and retrieved sources, weighting third-party validation, factual consistency across sources, and vocabulary alignment with the query. A brand that dominates Google through keyword optimization may use language that does not match how buyers phrase questions to AI. What we found is that buyer vocabulary — the words real people use when asking AI for help — is the single strongest predictor of AI visibility.
SEO vs GEO: different signals
| Factor | Google SEO | AI Visibility (GEO) |
|---|---|---|
| Ranking signal | Backlinks, keywords | Third-party citations, factual consistency |
| Language match | Keyword targeting | Buyer vocabulary alignment |
| Content format | Long-form pages | Multi-source presence |
| Measurement | Rank positions | Mention rate across platforms |
These differences are not minor adjustments. They represent a fundamental divergence in how brands get discovered. A company that has invested heavily in backlink building and keyword optimization may have zero return on that investment in the AI channel. What we found is that the brands succeeding in both channels are those that have recognized AI visibility as a separate discipline requiring its own measurement, its own strategy, and its own investment — rather than an extension of existing SEO work.
Industry adoption data
The 37% figure is an average across B2B categories, but what we found is that adoption varies significantly by industry. Technology buyers lead AI adoption for research, with estimated usage rates above 50%. Professional services buyers (consulting, legal, accounting) are close behind. Manufacturing and industrial buyers lag at approximately 20–25%, though the trajectory is upward across all sectors. The pattern suggests that every B2B category will reach 40%+ AI-first research behavior within the next 12–18 months.
The buyer journey also differs. What we found is that B2B buyers using AI tend to ask broader, more exploratory questions than they would type into Google. A buyer who would search Google for “Salesforce vs HubSpot CRM” asks AI “what CRM should a 50-person B2B company use if we need strong reporting?” This means the AI query is more contextual, more specific to the buyer’s situation, and more likely to trigger AI recommendations based on use-case fit rather than brand recognition alone.
The compounding risk of inaction
What we found in our longitudinal data is that AI visibility advantages compound over time. Brands that appear consistently in AI recommendations earn more clicks, more coverage, and more third-party mentions — which further strengthens their AI visibility in a positive feedback loop. Brands that are invisible today face a widening gap as competitors who invested earlier continue to strengthen their position. The cost of catching up increases with every quarter of inaction.
The visibility gap matters now
The 37% figure is growing. As AI chatbots improve and buyers develop habits around AI-first research, the share of buyers who consult AI before Google will only increase. What we found is that brands who establish AI visibility now will compound their advantage as the channel grows, while brands who wait will face an increasingly difficult catch-up. Understanding where your brand stands today across all major AI platforms is the prerequisite to any strategy.
Last updated: April 2026