The rise of artificial intelligence in search and content discovery has introduced Generative Engine Optimization (GEO) as a critical, yet often misunderstood, discipline for brands. GEO focuses on optimizing how AI models perceive, cite, and recommend a brand’s positioning, content, and reputation. A recent study by Demand-Genius, Selling GEO, surveyed 47 B2B agencies, primarily senior commercial leaders and owners, offering a candid look into how they are pricing, packaging, and delivering AI search capabilities. The findings reveal a landscape marked by uncertainty, a struggle to define value, and an urgent need for standardized practices and robust measurement. For enterprise CX and marketing leaders, these insights highlight crucial areas for strategic alignment and investment to harness GEO effectively.
The Evolving Demand for Generative Engine Optimization
The market for GEO services is nascent but expanding, driven by the increasing integration of AI into buyer journeys. While client interest is growing, a significant disconnect remains between how GEO is perceived and its actual impact.
Clients are actively seeking GEO capabilities, particularly from agencies that have formally defined such offerings. The Demand-Genius report found that 64% of B2B agencies already possess a named GEO offering. These “adopters” see GEO referenced in over a quarter of their client briefs (55%), a stark contrast to the mere 8% of briefs for non-adopting agencies. This suggests that the existence of a structured offering, rather than passive demand, is a catalyst for client engagement. However, despite this demand, a substantial 71% of agencies believe they are either undervaluing GEO services or lack a clear framework for valuation. This indicates an industry-wide struggle to assign tangible commercial worth to these emerging capabilities, with a mean confidence level in pricing reported at only 3.08 out of 5.
A key challenge is the industry’s struggle to differentiate GEO from traditional performance channels. GEO fundamentally impacts brand perception and discoverability within AI models, making it primarily a brand channel. Yet, agencies often report on “SEO metrics” such as citations (77%), share of voice (73%), and referral traffic (68%), with only 32% reporting leads or pipeline directly linked to GEO. This performance-centric measurement approach overlooks GEO’s core function in shaping brand influence and alignment. Furthermore, the discipline’s understanding is largely confined to “echo chambers,” with 69% of agencies learning about GEO from LinkedIn creators compared to just 31% from independent research. This reliance on informal, often self-promotional, sources contributes to a lack of shared best practices and a fragmented understanding of what constitutes “good” GEO. Agencies are equally split on whether GEO represents genuine impact or is largely hype, with an average “hype vs. impact” score of 3.16 for adopters and 3.23 for non-adopters (on a scale of 1=all hype, 5=all impact).
What this means for leaders: Enterprise CX and marketing leaders must recognize GEO’s strategic importance as a brand-building and reputation-management tool. Proactive definition and education are critical both internally and when engaging external partners.
- What to do:
- Invest in R&D and pilot programs: Establish internal initiatives to experiment with GEO tactics and measure their impact on brand visibility, sentiment, and authoritative citation within AI models.
- Define GEO’s role: Clearly articulate whether GEO aligns with brand perception metrics (e.g., brand mentions in AI summaries, positive sentiment) or direct demand generation (e.g., qualified leads from AI-driven discovery).
- Educate stakeholders: Develop internal training programs to ensure marketing, PR, and even product teams understand how AI interprets and cites brand information.
- Audit current content for AI readiness: Assess existing content libraries for clarity, factual accuracy, and structured data that AI models can easily consume and cite.
- What to avoid:
- Relying solely on unproven tactics: Do not implement GEO strategies based on anecdotal evidence or informal advice without rigorous internal testing and validation.
- Treating GEO as a siloed, niche activity: Recognize GEO’s cross-functional impact across brand, content, PR, and SEO.
- Expecting immediate, direct pipeline attribution: Understand that GEO’s primary influence is often upstream in the buyer journey, shaping perceptions before direct engagement.
Operationalizing GEO: Packaging, Delivery, and Internal Capabilities
As agencies grapple with the intricacies of GEO, establishing clear operating models, defining internal ownership, and formalizing delivery methodologies become paramount for consistent, scalable execution.
Agencies are adopting varied approaches to packaging GEO, with 48% offering it as a standalone service. However, integration into existing services, particularly SEO (22%), is also common. Interestingly, agencies that fold GEO into an SEO line item report significantly higher confidence in their pricing (3.67 out of 5) compared to those offering it standalone (2.90). This suggests that leveraging established service lines can provide a clearer value proposition and pricing anchor. Regarding internal ownership, SEO specialists predominantly lead GEO initiatives within agencies (43%), followed by strategy and PR/comms teams (both 22%). This highlights the interdisciplinary nature of GEO, often requiring collaboration across traditional marketing functions. However, only 54% of agencies report having a formally named owner for GEO, with 35% managing it informally. This lack of formal ownership can lead to ambiguity in responsibilities and inconsistent strategic direction.
A critical finding from the report is the nascent state of documented methodologies. Only 43% of agencies stated their GEO approach is documented well enough for a new team member, and 22% have nothing written down. Even among agencies that consider themselves “ahead” of competitors, only 5 out of 8 have documented methods. This absence of formalized playbooks and best practices underscores the immaturity of the discipline and presents a barrier to consistent delivery and scaling. While 62% of agencies claim they can deliver GEO entirely in-house, the data indicates a more nuanced reality: 11 of 14 agencies making this claim do not actually cover all eight identified GEO service areas (audit, strategy, measurement, positioning, technical, content, earned media, social, community/reviews) internally. Audit and strategy are overwhelmingly kept in-house (96%), but as the work moves further from traditional SEO into areas like social media and community presence, it is more frequently outsourced, handled by the client, or not covered at all.
What this means for leaders: Enterprise organizations must define a clear GEO operating model, prioritize cross-functional collaboration, and insist on transparent, documented methodologies from their agency partners.
- What to do:
- Define a clear GEO operating model and roles: Establish a cross-functional team (e.g., brand, content, SEO, PR, product) with a designated lead responsible for GEO strategy and execution. This might sit under a Chief Marketing Officer or Chief Brand Officer.
- Standardize processes: Develop repeatable processes for GEO diagnosis, strategy development, content optimization, and measurement. Require agency partners to provide documented playbooks.
- Evaluate internal capabilities vs. external partners: Conduct a thorough assessment of existing internal skills (e.g., content strategy, technical SEO, brand messaging, PR) to identify gaps. Partner strategically for specialized areas like AI model interaction or advanced analytics.
- Implement governance frameworks: Establish guardrails for content creation and distribution intended for AI consumption, ensuring brand voice, factual accuracy, and compliance standards (e.g., legal review for sensitive content).
- What to avoid:
- Siloing GEO within a single department: GEO requires a holistic approach that transcends traditional marketing boundaries.
- Assuming full in-house capability without verification: Understand that delivering comprehensive GEO often requires a blend of internal expertise and specialized external partners.
- Delaying documentation: Without codified processes, scalability and consistency will remain elusive, leading to inconsistent brand representation in AI search results.
Proving Value and Pricing GEO for Enterprise Success
The core challenge in GEO remains demonstrating tangible value and developing confident pricing models. This struggle is directly linked to the current limitations in attribution and a focus on visibility metrics over commercial outcomes.
Agencies’ confidence in pricing GEO is low, with 71% believing they undervalue the service or are unsure of its true worth (mean pricing confidence 3.08/5). This uncertainty is largely driven by difficulties in proving impact. The report clearly demonstrates a strong correlation between confidence in proving impact and confidence in pricing: agencies rating their price as “about right” scored 4.71 on proving impact, while those who “genuinely don’t know” how to price scored only 2.57 on proving impact. This underscores that clear, measurable outcomes are foundational to establishing and justifying GEO’s value proposition.
Current measurement practices predominantly focus on visibility and mentions, rather than direct commercial metrics. While 77% of agencies report on citations and mentions, and 73% on share of voice, only 32% report on leads or pipeline generated by GEO. This aligns with the report’s conclusion that GEO, fundamentally a brand channel, is being asked to behave like a performance channel without the necessary attribution clarity. For enterprise leaders, this means current agency reporting may not directly address their primary business objectives. The tooling landscape also reflects this immaturity, with 50% of agencies using off-the-shelf AI visibility tools, 27% building their own, and 18% using bolt-on SEO modules. Agencies using proprietary tools or those with full transparency into how prompts are selected express significantly higher confidence in their data accuracy (4.00) compared to those who only “know roughly” (3.11) or use off-the-shelf tools (3.27). This transparency is crucial for building trust in reported metrics.
What this means for leaders: Mandate clear attribution models, define relevant KPIs that balance brand and business outcomes, and demand transparency in tooling and methodology from agency partners.
- What to do:
- Establish robust attribution models: Work with agencies to develop frameworks that connect GEO activities to both brand health metrics (e.g., sentiment analysis of AI citations, share of voice in AI-generated summaries) and business outcomes (e.g., influence on specific sales pipeline stages, conversion rates from AI-influenced searches, complaint rates related to misinformation).
- Define brand-centric KPIs: Implement metrics such as “AI Citation Rate” (frequency of brand mention in AI-generated content), “AI Sentiment Score” (overall tone of AI mentions), and “AI Recommendation Rate” (how often the brand is directly recommended by AI for relevant queries).
- Invest in transparent tooling and data: Prioritize GEO tools that offer clear visibility into their data collection methods and prompt selection processes. If internal resources allow, consider building proprietary solutions for greater control and accuracy.
- Set realistic thresholds and SLAs: Define acceptable ranges for key GEO metrics and establish clear service level agreements (SLAs) with agency partners for responsiveness to critical AI search issues or negative citations.
- Demand proof of impact for pricing: Link compensation models to measurable outcomes that align with enterprise objectives, moving beyond simple activity-based billing.
- What to avoid:
- Over-promising direct pipeline generation from GEO alone: Recognize GEO’s role in the broader marketing ecosystem and its indirect, but powerful, influence on brand trust and consideration.
- Relying on opaque tooling: Without understanding how data is collected and analyzed, confidence in reported results will be limited, hindering strategic decision-making.
- Optimizing for a single metric (e.g., containment) at the expense of overall outcomes: Ensure a balanced scorecard of GEO metrics that reflects both brand influence and, where possible, downstream business impact.
Conclusion: Charting a Strategic Path for GEO in the Enterprise
The Demand-Genius “Selling GEO Report – October 2026” paints a picture of an industry at a critical juncture. Agencies are navigating the complexities of AI search with enthusiasm but are often hampered by a fundamental misunderstanding of GEO’s nature, a reliance on informal knowledge, and an expectation of absolute certainty from inherently directional data. For senior marketing and CX leaders at large enterprises, the implications are clear: a proactive, well-governed, and strategically informed approach to GEO is essential to secure brand visibility and reputation in the evolving AI-driven landscape.
To move beyond the current state of being “overwhelmed, unsure, and unproven,” enterprise leaders must embrace specific imperatives:
- Align on Measurable Outcomes: Before initiating any GEO program, explicitly define what “proof” looks like. Distinguish between brand reflection goals (e.g., how AI describes your brand) and growth objectives (e.g., pipeline influence), with honest caveats on attribution.
- Break Down Silos: Recognize that positioning, content, and reputation collectively shape how AI perceives and represents a brand. Foster cross-team collaboration across marketing, PR, and content functions, potentially assigning a generalist owner or partner to orchestrate GEO efforts holistically.
- Prioritize Research and Structured Testing: Move beyond anecdotal evidence from social media “thought leaders.” Invest in deeper studies, run structured tests, and cultivate an internal view based on rigorous methodology. Always challenge information sources to demonstrate their methods.
- Embrace Directional Data with Discipline: Understand that AI data often provides directional insights rather than absolute certainty. Track key moments that matter to buyers within AI interactions, and maintain transparency with internal stakeholders and agency partners about the capabilities and limitations of GEO data.
- Standardize Diagnosis, Tailor Execution: Agencies demonstrating consistent diagnostic approaches are more confident in their pricing and ability to prove impact. Enterprise leaders should require consistent audit methodologies from their partners, followed by tailored, client-specific strategies.
- Demand and Publicize Case Studies: Proactively request and collaborate on GEO case studies with agency partners. Publicizing successful GEO initiatives not only validates the investment but also contributes to the broader industry’s understanding and maturation.
By implementing these strategic imperatives, enterprise CX and marketing leaders can transform GEO from an uncertain frontier into a powerful, measurable component of their overall brand and growth strategy.
Source: Demand-Genius. (2026, October). Selling GEO Report – October 2026.
