MarketScale Research
Mar 2026 – Jun 2026The State of GEO
The State of AI Visibility for B2B Companies
Over the analyzed period, AI visibility for B2B brands showed platform-specific trends. 'Perplexity' leads the mention rates while 'AI Mode' showed the highest citation-to-mention ratio, indicating varying reliance on AI-assisted content among platforms.
The benchmark
How B2B brands show up across five AI engines
Mention rate is how often an engine names a brand in its answer. Citation rate is how often it backs that mention with a link to brand content. The two rarely move together.
The citation paradox
Getting named is not getting cited
The engine most likely to name a brand is often the least likely to cite its content. That flips the playbook by platform: a high mention rate with a low citation rate means the brand is being described from third-party sources, not its own.
Dotted line marks mention–citation parity. Dots below it are named more than they are cited.
The leak
The answer-inclusion funnel
Every AI answer is a chance to be named, and every mention is a chance to be cited. Most of those chances are lost before the citation.
Only 33.7% of AI answers name a tracked brand at all. Of the answers that do, 50.4% back the mention with a citation to brand-controlled content. The rest are brand descriptions written from third-party sources: the GEO leak that an owned-content strategy is built to close.
The analysis
What the data means for B2B discovery
Understanding AI's Impact
The New Rules of B2B Discovery
B2B brands need to adapt to AI-driven content discovery where mention rates and citation credibility have become critical. Perplexity's higher mention rate suggests an opportunity for early adopters, while platforms like AI Mode demand more rigorous citation-backed content.
Visibility in AI contexts demands both frequent mentions and credible citations.
CMOs need holistic strategies that cover both content visibility and credibility.
- →Optimize presence on high mention-rate platforms.
- →Ensure citation effectiveness on credibility-demanding platforms.
Navigating AI Platforms
Understanding the Platform Landscape
Across AI platforms, Perplexity currently shows the most frequent brand mentions while AI Mode shows a superior citation performance. Choosing the right platform for your brand depends on weighing visibility against credibility.
Selecting an AI platform depends on a strategic focus on either visibility or authority.
Marketers must discern platform nuances to apply the right content strategies.
- →Prioritize platforms aligning with your brand's visibility and credibility goals.
- →Leverage platform strengths in AI-fueled searches.
Optimizing for AI
What AI Rewards in B2B Content
AI platforms favor content when it combines regular mention rates with a robust citation backing. Platforms like AI Mode, which exhibit high citation consistency, emphasize the merit of content backed by thorough, reliable references.
AI engines prefer frequently mentioned and well-cited content.
AI's approval is based on both mentionability and citation validity.
- →Ensure content is both visible and credible.
- →Refine content strategy to blend frequent exposure with authoritative support.
Addressing Shortfalls
Uncovering Visibility Gaps
Analysis shows that despite numerous responses being generated, brands often fall short in being mentioned. This visibility gap can be addressed by focusing on brand-specific AI training, ensuring that mention overflows translate into effective brand visibility.
Closing visibility gaps requires attention to both response rates and strategic mentions.
Visibility can't just be measured in generated content; it must translate into tangible mentions.
- →Refine AI models to target specific brand mentions.
- →Employ AI training to reduce visibility leakage.
In summary
What the data tells marketers
AI platforms have diversified approaches in mentioning and citing brands within their responses. Varying mention and citation rates indicate differences in AI's handling of B2B content.
The frameworks
Two ways to think about AI visibility
The data points to two mental models a B2B marketing team can run with: one for building visibility, one for finding where it leaks.
The GEO Visibility Stack
A methodical approach prioritizing platform-specific content visibility intertwined with authoritative citations.
- 01Identify leading AI platforms for mention potential.
- 02Leverage citation ratios to solidify brand credibility.
- 03Adapt content creation to align with platform strengths.
The Answer Inclusion Funnel
A strategic initiative ensuring high rates of brand mentions alongside AI-generated responses.
- 01Map mention frequency against responses.
- 02Plug visibility leaks by streamlining response mentions.
- 03Enhance answer inclusion strategies.
CMO playbook
What to do next
Five moves that close the gap between getting named and getting cited. Each one is a different play because the engines reward different things.
Optimize high visibility on top platforms with enhanced content strategies.
High priorityIncreased mentions directly correlate to better brand recall.
Analyze platform-specific referential behavior and align content accordingly.
Visibility and citation rates
Ensure citations in AI answers strengthen brand authority.
Medium priorityBrand authority underpins consumer trust.
Augment content with reliable third-party validations.
Increase in consumption of citation-heavy content
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Read alongside The State of B2B Marketing and The State of B2B Video Editing.
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