The State of AI Search 2026.
A benchmarked look at how AI engines are reshaping B2B and consumer discovery, and the patterns separating the brands that are winning from the ones going invisible. Based on Zumi's measurement of 2,100 queries across 140 categories.
Findings from the State of AI Search 2026 study, measured across 140 B2B categories and eight AI engines.
of B2B buyers now start product research in an AI engine, up from 34% in 2025.
gap in share of voice between the AI-visible leader and the #5 player in the average B2B category.
of AI-generated answers cite a source the brand does not own. Citation strategy is a first-order problem.
median AI Visibility Score lift over 60 days for brands that implemented a focused GEO program.
How the research was done.
Category benchmarking like this is only as credible as its methodology. The full set is below, and Zumi shares raw data under NDA with prospects in active evaluation.
- 01140 B2B categories tracked across 2,100 category and comparison queries
- 02Eight AI engines: ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews, DeepSeek
- 03Query cadence: weekly across all monitored engines
- 04Measurement window: January 2026 to March 2026
- 05Brand-attribution, citation-extraction, and share-of-voice models validated against 400 manually reviewed answer sets
- 06Raw answer corpus and methodology notes available on request to enterprise prospects
Six patterns worth re-planning your 2026 strategy around.
Engine concentration is lower than buyers assume
Across 140 B2B categories, the top-ranked brand on ChatGPT was also top-ranked on Gemini in only 38% of cases. Category-leading AI visibility is not transferable between engines. It has to be earned engine by engine.
Citation authority has decoupled from backlink authority
Of the top 10 domains cited in AI-generated answers, only 4 on average also rank in the top 10 Google organic results, a 40% overlap. AI engines pull from a narrower, more editorial set of sources, so a domain's backlink profile is no longer a reliable proxy for AI citation.
Comparison queries matter more than category queries
Queries of the form "best X for Y" and "X vs Y" drove 61% of the buyer-attributable mentions Zumi measured, even though they represented only 22% of tracked prompt volume. Comparison positioning is where AI visibility converts.
Copilot and Claude are under-invested relative to buyer share
Copilot and Claude together account for ~31% of measured AI-generated answers for B2B buyers but receive ~12% of brand GEO investment. The under-investment gap is the most exploitable asymmetry Zumi observed in 2026.
AI Overviews is the fastest-changing surface
Google AI Overviews rewrote its answer composition for 43% of tracked queries within a 90-day window. Monitoring frequency matters more for AI Overviews than for any other surface Zumi tracked.
Grok is a concentrated-intent play
Grok's answer set is narrower and more X-native than the other engines. It matters most for developer tooling, finance, and creator-economy categories, and can be safely deprioritized for most consumer verticals.
Visualizations featured in the download.
What the PDF version of the report looks like. Each figure is reproduced at full resolution inside.
Share-of-voice divergence across engines
The same category, measured on eight engines in the same week. The leader on ChatGPT is the #4 brand on Gemini.
Citation source overlap, Google vs AI
Of the top 10 citing domains in AI-generated answers, only 4 overlap with the top 10 Google organic results.
AI Visibility Score: GEO-active vs passive
60-day rolling median. GEO-active brands gained 18 points. Passive brands drifted -3.
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Includes all methodology, per-engine benchmarks, vertical leaderboards, and 8 GEO recommendations.
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The complete research, formatted for the boardroom. Per-engine benchmarks, the full set of findings, eight prioritized GEO recommendations, and the methodology backing every number.
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Includes all methodology, per-engine benchmarks, vertical leaderboards, and 8 GEO recommendations.
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