GNW x DEMAND METRIC
GNW Consulting & Demand Metric · 2026 Edition
The State of
GEO in B2B Marketing
Insights from 200+ marketing and revenue leaders on AI-driven discovery, visibility, and competitive advantage
200+
B2B Leaders Surveyed
225
Qualified Responses
Q1 2026
Research Period
14
Key Data Figures
Section 01
Introduction
AI Discovery Has Already Redefined Search Visibility
Artificial intelligence is introducing a structural shift in how B2B buyers discover, evaluate, and select solutions. Rather than relying exclusively on traditional search results, buyers are increasingly engaging with AI-generated answers that synthesize information from a wide range of sources — including owned content, third-party references, community platforms, and broader indicators of brand authority.
At its core, an organization’s GEO strategy must begin with the buyer. Different audiences use different AI tools, ask different prompts, and rely on different sources at different stages of decision-making. A one-size-fits-all optimization playbook will miss the very behavior GEO is meant to influence.
This shift expands the definition of visibility. It is no longer determined solely by how effectively an organization optimizes its owned digital properties, but by how consistently it appears across the distributed ecosystem that informs AI-generated outputs. Many organizations have already begun investing in GEO, launching initiatives, and reporting early results, while others are still evaluating its relevance or waiting for clearer standards to emerge.
The findings in this report suggest that the window for passive observation is quickly closing. Organizations that delay GEO adoption risk entering a landscape where visibility is already being defined by competitors.
Section 02
Key Findings
GEO Has Already Reached a Market Tipping Point
92%
of organizations are already experimenting with or operationalizing GEO
78%
of those investing report measurable ROI
63%
identify AI-optimized content as a leading influence on AI-driven discovery
39pt
trust gap between tracking AI traffic (73%) and trusting the data (34%)
Tracking Is Ahead — Trust Is Behind
Organizations are making decisions on data they do not fully trust
73%
Track AI referral traffic at least occasionally
34%
Actually trust the GEO visibility data
↑ 39-point trust gap
65%
classify GEO as a performance or hybrid investment
+80%
are already active in, or planning, GEO-related channel strategies
22%
report AI accounts for more than 5% of total website traffic
60%
of enterprise orgs have operationalized GEO vs. only 34% of SMBs
Section 03
The State of GEO Today
GEO Is Already Active, Proven, and Expanding
The findings from this study point to a clear conclusion: GEO is no longer an emerging concept. The data suggests that GEO is already widely adopted, delivering results, and influencing how organizations are discovered and positioned in AI-driven environments. What was recently experimental is rapidly becoming operational.
At the same time, this shift is not happening evenly. Some organizations are beginning to establish a consistent presence across AI-driven discovery channels, while others remain in early-stage experimentation — creating a growing gap where execution quality, not just participation, determines outcomes.
GEO Has Already Reached a Market-Wide Tipping Point
The data suggests that GEO is already widely adopted. A combined 92% of B2B organizations report either experimenting (48%) or actively operationalizing (44%) GEO initiatives, with only 8% indicating it is not a priority.
Cross-tab analysis suggests that enterprise organizations are materially more likely than SMBs to report actively operationalizing GEO (60% vs. 34%), indicating that resourcing and structured investment play a meaningful role in maturity.
Cross-tab analysis suggests that enterprise organizations are materially more likely than SMBs to report actively operationalizing GEO ( 60% vs. 34%), indicating that resourcing and structured investment may play a role in maturity.
Figure 1
Current GEO Maturity Across B2B Organizations
GEO Is Already Delivering ROI and Accelerating Investment
Among B2B organizations actively investing in GEO, 78% report measurable return on investment. This is unusually high for an emerging discipline and reflects early signals of impact on visibility and performance.
This early validation is accelerating adoption, as organizations gain confidence in GEO’s ability to drive outcomes. In other words, GEO is moving from a speculative idea to a defensible performance investment.
Investment-level cuts strengthen the story: among respondents in the highest investment group, those allocating more than 5% of budget report ROI rates above 90%, suggesting that maturity amplifies returns.
Figure 1
Reported ROI from Current GEO Investment
Execution Gaps, Not Budget Alone, Are Slowing GEO Progress
Among B2B organizations actively investing in GEO, 78% report measurable return on investment. This is unusually high for an emerging discipline and reflects early signals of impact on visibility and performance.
This early validation is accelerating adoption, as organizations gain confidence in GEO’s ability to drive outcomes. In other words, GEO is moving from a speculative idea to a defensible performance investment.
Investment-level cuts strengthen the story: among respondents in the highest investment group, those allocating more than 5% of budget report ROI rates above 90%, suggesting that maturity amplifies returns.
Figure 3
Top 5 limitations on the ability to move faster on GEO:
Implications for Marketing and GTMOps Leaders
For Marketing Leaders
GEO has moved beyond experimentation and into the competitive baseline. The immediate challenge is no longer whether to participate, but how to focus investment on the right buyers, the right prompt sets, and the highest-value sources before visibility share hardens around competitors.
For Marketing Operations
For GTMOps
Section 04
How GEO Actually Works
From Momentum to Mechanics
GEO Is Being Executed Everywhere, But Owned Nowhere
Execution of GEO is already embedded across multiple functions, with Marketing Operations leading activity alongside content, SEO, brand, and other teams. However, ownership of GEO strategy and KPIs remains fragmented, with no single function emerging as the clear leader. Responsibility is distributed across teams that each control part of the system, but none fully own the outcome.
Despite high levels of activity, fewer than 15% of organizations report dedicated GEO roles responsible for defining strategy and KPIs — suggesting most execution is being absorbed into existing teams rather than formalized as a distinct function. As GEO investment, measurement complexity, and cross-functional coordination increase, dedicated ownership may become more important, but for now the dominant pattern is resource reassignment rather than formal team creation.
Figure 4
GEO Ownership Remains Fragmented Across the Organization
AI Visibility Is Buyer-Dependent and Driven by a Network of Signals
In practice, the signals that influence AI discovery are not fixed. Based on GNW’s client work, the mix of sources AI engines rely on can change by company, buyer audience, prompt intent, and platform — and even from one month to the next. Respondents identify content quality (63%) as the most influential factor today, followed by third-party citations (56%), brand authority (55%), and community-generated content (51%). Those responses directionally align with practitioner observations, but should not be interpreted as a stable ranking of what will drive AI visibility for every organization.
63%
Content Quality
56%
Third-Party Citations
55%
Brand Authority
51%
Community-Generated Content
Community Platforms and AI-Optimized Content Now Rival Traditional SEO
When asked which channels most influence AI-driven discovery, respondents most often point to AI-optimized content and community platforms, slightly ahead of traditional SEO. However, these responses should be interpreted as current market perception rather than a universal GEO playbook. In practice, AI systems draw from a constantly evolving mix of sources that can vary by buyer, prompt intent, funnel stage, platform, and industry. Community platforms in particular can play an important role by providing context, credibility, and peer-driven perspectives that AI models incorporate into generated responses.
Cross-tab analysis also shows that organizations with higher GEO investment place greater emphasis on community platforms, reinforcing their growing importance in more mature GEO programs. This does not eliminate the importance of SEO, but it does reposition it as one component within a broader and increasingly dynamic visibility ecosystem. There is no universal GEO playbook — what influences AI visibility depends on the buyer, the prompt, and the platform.
CONTENT
COMMUNITY PLATFORMS
TRADITIONAL SEO
VIDEO PLATFORMS
SOCIAL PLATFORM SIGNALS
What influences AI visibility depends on the buyer, the prompt, and the platform.
Implications for Marketing and GTMOps Leaders
For Marketing Leaders
This chapter reframes GEO as a buyer strategy rather than a platform checklist. The right mix of content, community participation, reviews, analyst visibility, and authority signals depends on who the buyer is, where they search, and which prompts matter at each stage of the journey.
For Marketing Operations
Because visibility is created across an ecosystem of owned, earned, and third-party signals, operational alignment matters as much as channel choice. Teams need shared prompt sets, coordinated source plans, and a common operating model across content, SEO, brand, PR, and analytics.
For GTMOps
Influence is now more distributed and less directly trackable. Measurement systems designed around single-channel attribution will miss an increasing share of GEO-driven impact unless they evolve toward multi-source, buyer-journey-aware analysis.
Section 5
Measurement, Performance
& Market Signals
Organizations Are Scaling GEO Faster Than They Can Reliably Measure It
While organizations are actively investing in GEO and beginning to track early impact signals, measurement frameworks remain inconsistent and fragmented. Teams are capturing data, but not always with standardized approaches, shared definitions, or a high degree of confidence in what the data represents — creating a growing gap between activity and understanding. As GEO becomes a more established investment area, leaders are under increasing pressure to demonstrate impact beyond visibility and traffic and to connect GEO efforts to pipeline and revenue outcomes.
GEO Visibility Metrics Are Still a Black Box
Measurement activity is outpacing measurement reliability. While 73% of organizations report measuring AI referral traffic, only 34% highly trust GEO visibility metrics.
The gap matters because AI referral traffic can be measured with reasonable confidence, while GEO visibility remains largely inferential. Most tools estimate likely visibility from model outputs rather than provide direct source-level truth.
Visibility scores are therefore best treated as directional signals, not exact performance measures. Teams that mistake them for precise reporting risk overconfidence, poor prioritization, and inflated expectations. The stronger approach is to pair visibility tools with harder business metrics such as referral traffic, conversion rate, deal size, and time to close.
Figure 7
Organizations are making decisions on data they do not fully trust
GEO Has Moved from Experimentation to Funded Priority
Organizations are no longer treating GEO as a side initiative. A majority report allocating dedicated budget, with 43% investing between 1% and 5% of total marketing spend and 16% allocating more than 5% — indicating that GEO has already progressed beyond isolated pilots into planned, ongoing programs. In many cases, this is not net-new funding but a reallocation from existing channels, signaling that organizations are beginning to view GEO as a competing priority within the broader marketing mix.
Cuts by investment level reinforce the pattern: organizations that do not invest in GEO are significantly less likely to track it at all, confirming that measurement maturity tends to follow investment maturity.
Figure 8
Current GEO Budget Allocation Across B2B Organizations
GEO Does Not Fit Traditional Budget Models
Organizations are not aligning GEO neatly within existing budget structures. While 34% classify it as a performance investment and 31% as a hybrid of brand and performance, relatively few treat it as purely brand-driven.
This distribution reflects GEO’s cross-functional nature. It simultaneously influences visibility, traffic, authority, and pipeline, making it difficult to categorize using traditional channel-based models. Rather than fitting into a single budget line, GEO operates across multiple layers of the marketing ecosystem.
As a result, organizations often fund GEO through a combination of reallocated performance budgets, content investments, and brand initiatives, without a clearly defined home. This flexibility enables faster adoption, but also introduces ambiguity in ownership, measurement, and accountability. That ambiguity helps explain why GEO is relatively easy to justify, but still difficult to manage.
Figure 9
GEO Ownership Remains Fragmented Across the Organization
GEO Is Measured Primarily Through Visibility, Not Business Impact
Organizations are not aligning GEO neatly within existing budget structures. While 34% classify it as a performance investment and 31% as a hybrid of brand and performance, relatively few treat it as purely brand-driven. This reflects GEO’s cross-functional nature — it simultaneously influences visibility, traffic, authority, and pipeline, making it difficult to categorize using traditional channel-based models.
As a result, organizations often fund GEO through a combination of reallocated performance budgets, content investments, and brand initiatives, without a clearly defined home. This flexibility enables faster adoption, but also introduces ambiguity in ownership, measurement, and accountability — which helps explain why GEO is relatively easy to justify, but still difficult to manage.
Figure 10
Current GEO Measurement Priorities Across B2B Organizations
The Emerging Revenue Signal Behind GEO
A practical starting point for GEO measurement is to follow AI-referred traffic through the funnel, including conversion rate, average deal size, and time to close. These signals give teams an early read on business impact while the broader GEO measurement model continues to develop.
Early practitioner signals suggest this may be a meaningful area for growth. Some publishers and SaaS companies report that visitors from AI answers convert at rates 40 to 70 percent higher than traditional Google organic traffic. One likely reason is that AI-generated answers can help qualify intent before someone ever reaches the site.
GTMOps teams should begin separating AI-referred traffic in their reporting so they can understand how it performs across the funnel, whether it converts at stronger rates, and whether it leads to larger opportunities or faster sales cycles. This gives teams a useful first view into performance after the click, while recognizing that many moments of influence happen before a website visit.
AI-referred traffic may convert
40–70%
BETTER
than traditional organic traffic
Source: How Traffic from ChatGPT Converts
GEO Requires a New Discipline Around Metrics That Matter
Just like SEO introduced new measurement terminology — such as SERP and keyword rankings — GEO will need to carve out a standard set of metrics by which organizations measure performance. The traditional SEO model was built around clicks, sessions, rankings, and traffic. That playbook creates risk in an AI search environment because it still assumes the click is the primary goal, even as more discovery, comparison, and decision-making now happen inside AI-generated answers.
The current GEO measurement landscape is also fraught with issues. Claude does not consistently provide direct citations. Bot traffic in GA4 can be difficult to identify cleanly. Many GEO tools rely on inferred visibility signals rather than definitive data sources. Teams need to measure this work carefully, with a clear understanding that the available signals are still imperfect.
GNW advocates measuring GEO using the same core framework as Profound, because these elements are the clearest way to evaluate visibility, influence, and competitive position in AI-generated answers. Visibility Score, Share of Voice, Average Position, citation presence, and competitive visibility help teams understand whether a brand appears, how often, where, and how it performs against competitors.
These metrics provide organizations with a more useful view of GEO. They move the conversation beyond traffic reporting and toward a fuller understanding of visibility, influence, and competitive position inside AI-generated answers.
1
Visibility Score
AI-generated answers
Do you appear at all?
2
Share of Voice
competitors
Who holds the narrative?
3
Average Position
Is your citation "at least one click away"?
⚙
GEO measurement needs a new set of metrics built around visibility, influence, and competitive position inside AI-generated answers.
AI Is Emerging as a Real, but Still Uneven, Source of Demand
AI-driven discovery is beginning to translate into measurable traffic. A combined 58% of respondents report that AI accounts for at least 1% of total website traffic, and notably, 22% say it already accounts for more than 5%.
This is a meaningful deviation from the prevailing narrative. Many industry benchmarks suggest AI-driven traffic remains negligible, often cited as less than 1% of total volume. However, this data indicates that for a meaningful subset of organizations, AI traffic is already a material contributor.
This tension is the point: AI traffic is clearly emerging, but measurement approaches are not yet consistent enough to fully trust the magnitude.
The most useful takeaway is not that every organization should expect large volumes of AI traffic today. It is that enough organizations are already seeing measurable impact to justify more disciplined tracking, clearer source definitions, and closer validation of how AI-referred visitors move through the funnel.
Figure 11
Marketer's Perspective
If You're Not Investing in GEO, Your Competitors Likely Already Are
The data suggests that B2B organizations are already moving to establish a presence in key GEO channels. Nearly half report having a defined strategy for community platforms such as Reddit and forums, with another 31% planning to implement one within the next 12 months.
This means that roughly four in five organizations are either actively investing in or preparing to invest in channels that directly influence AI-driven discovery. What was once considered experimental is quickly becoming a standard component of visibility strategy.
As these channels play a greater role in shaping how AI systems surface and interpret brands, early participation creates a compounding advantage. Organizations that establish a presence now are more likely to be consistently referenced, cited, and surfaced in AI-generated outputs. This means the cost of delay is not just missed learning, but lost visibility share.
Figure 12
GEO Is Becoming a Competitive Intelligence Layer
Organizations are increasingly looking beyond technical SEO support and seeking broader strategic guidance for GEO initiatives.
The data shows that demand is strongest around strategy and planning (53%), content optimization (48%), technical SEO and structured data (45%), and competitive intelligence (46%). This indicates that organizations increasingly view GEO as a cross-functional business capability rather than a narrow optimization tactic.
In practice, organizations are not just trying to improve visibility. They are also trying to understand how competitors are surfaced in AI-generated answers, which sources influence category narratives, and how buyer discovery behavior is evolving across platforms.
This shift is important because GEO strategy is becoming inseparable from competitive strategy. Organizations that continuously analyze AI-generated outputs, competitor positioning, and citation patterns will be better positioned to adapt as buyer behavior and AI systems continue to evolve.
Figure 13
Organizations Are Seeking Strategic and Competitive GEO Support
Agency GEO Offerings Are Outpacing Category Clarity
GEO is now showing up in agency positioning across the SEO market. Among respondents using an agency that claims to offer GEO or AI search optimization services, 58% say the offering is explicitly defined. However, 42% describe the offering as only loosely defined.
This points to one of the defining characteristics of the current GEO market: services are being packaged and sold before the category has fully standardized around a common definition, model, or framework.
For many organizations, GEO is still understood as a natural extension of traditional SEO. That is a logical starting point, but the discipline is expanding beyond conventional SEO execution into a broader set of capabilities, including prompt analysis, AI visibility measurement, citation tracking, buyer-intent mapping, competitive positioning, and cross-platform influence.
As GEO matures, organizations will increasingly need to distinguish between basic SEO adaptation and more advanced GEO strategy, measurement, and visibility frameworks.
Figure 14
Marketer's Perspective
Implications for Marketing and GTMOps Leaders
For Marketing Leaders
For Marketing Operations
For GTMOps
Section 6
Action Plan
From Activity to Advantage: Closing the GEO Execution Gap
From Activity to Advantage: Closing the GEO Execution Gap
Most organizations are already active in GEO. Few are structured enough to capture its full value. The data shows that activity is not translating into a consistent advantage. Organizations are investing, executing, and measuring, but often without a clear baseline, benchmark, or prioritization model.
This creates inefficiency, wasted effort, and missed opportunity. The next phase of GEO maturity will not be defined by doing more. It will be defined by doing it with clarity.
For most organizations, the fastest path to this clarity is a structured GEO audit. To move from fragmented execution to measurable impact, organizations should adopt a structured GEO assessment approach that begins with prompt mapping, platform prioritization, and source analysis, then moves to visibility measurement, competitive comparison, and execution planning.
A Structured GEO Audit Is the Fastest Path to Clarity
1
Establish Baseline Visibility
Understand how your brand appears across AI platforms from your buyers’ perspective.
2
Benchmark Against Competitors
Identify where you are winning or losing visibility.
3
Diagnose Authority Gaps
Analyze content, citations, and community presence.
4
Align Ownership and Execution
Define accountability across teams.
5
Build Measurement Systems
Standardize tracking across visibility, traffic, and outcomes.
6
Prioritize High-Impact Actions
Focus on the fastest drivers of visibility.
7
Continuously Optimize
Treat GEO as an ongoing system for faster learning, stronger alignment, and more reliable ROI.
Stop Losing Ground to Competitors in AI Search Results
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Section 7
Conclusion
The Competitive Advantage Will Come from Clarity
Those who delay will compete in a system already shaped by others.
Clear Ownership
Define who leads GEO strategy and KPIs across functions.
Credible Measurement
Build a measurement system that connects visibility to business outcomes.
Buyer-Aligned Execution
Start with buyer prompts, not platforms, to drive strategy.
Adaptable Strategy
Treat GEO as a system that evolves with buyer behavior and AI platforms.
Section 8
Methodology
About the Research
The 2026 State of Generative Engine Optimization in B2B Marketing survey was conducted online in Q1 2026. A total of 310 responses were collected, including completed, partial, and disqualified responses. The final analysis is based on 225 completed responses from qualified participants.
Participants were screened for involvement in decisions related to marketing strategy, digital presence, or growth initiatives. The resulting sample represents a mix of organization sizes, marketing budget levels, industries, and levels of seniority.
The respondent base includes organizations ranging from SMB to enterprise, with representation from business services, retail, technology, healthcare, manufacturing, media, and other sectors. It also includes a blend of executive leaders, vice presidents, directors, managers, and specialists. Marketing budgets range from under $1 million to over $20 million annually.
Results are reported on the basis of the qualified respondent pool for each question.
Seniority of Respondents
Organization Size
Annual Marketing Budget
Top Industries Represented
Respondent Snapshot
225
Qualified completed responses
310
Total responses collected
Q1 2026
Survey conducted
SMB → Enterprise
Organization size range
GNW Consulting
A Marketing Operations Agency
Marketing Operations (MOps) is the backbone of a company’s marketing efforts, ensuring efficiency, alignment, and scalability. It encompasses the processes, technology, and data that drive marketing activities, from planning and execution to analysis and optimization.
By streamlining workflows, integrating systems, and harnessing data insights, GNW empowers teams to maximize their impact and drive business growth.
Demand Metric
Global Research & Advisory
Demand Metric is a global research and advisory firm that helps organizations empower their people with the expertise, insights, and resources they need to unlock customer value and achieve sustainable growth.
Through strategic partnerships with the AMA, ANA, and AIPMM, Demand Metric’s resources have become the industry standard for business professionals. Over the past 18 years, they have helped 6,000+ businesses worldwide rapidly build their in-house capabilities.
