As generative AI reshapes how buyers discover information, B2B marketing teams are rethinking traditional SEO strategies in favor of Generative Engine Optimization (GEO). Capitalizing on this shift, GNW Consulting has reported strong growth in the first half of 2026 while expanding its GEO practice, introducing a proprietary AI-powered content optimization platform, and publishing new industry research on enterprise adoption of generative search strategies.

GNW Consulting has announced a series of strategic milestones that underscore the growing importance of Generative Engine Optimization (GEO) in enterprise marketing. Alongside continued business growth, the MarTech consulting firm introduced Leo, a proprietary application designed to help B2B organizations operationalize GEO at scale, while releasing one of the industry's largest benchmark studies examining enterprise adoption of AI-driven search optimization.

The company's announcement reflects a broader shift across digital marketing, where organizations are adapting content strategies for AI-powered search experiences rather than focusing exclusively on conventional search engine optimization. As platforms such as AI assistants, large language models (LLMs), and generative search interfaces become more prominent, enterprises are investing in technologies and methodologies that improve visibility across both traditional search engines and AI-generated answers.

According to GNW Consulting, its first-half business performance positions the company for one of its strongest years to date, with midyear revenue nearing the total generated during all of 2025. The company attributes that momentum to increased enterprise demand for marketing technology optimization, go-to-market (GTM) strategy, and Generative Engine Optimization services.

A key component of the announcement is the release of the 2026 State of GEO in B2B Marketing report, developed in partnership with Demand Metric. The benchmark study found that 92% of surveyed organizations are either experimenting with or actively operationalizing GEO, while 78% of companies investing in GEO report measurable return on investment.

The findings suggest that GEO is rapidly evolving from an experimental initiative into a strategic marketing discipline as organizations seek greater visibility within AI-generated search results, conversational assistants, and enterprise knowledge platforms.

To help enterprises operationalize those strategies, GNW introduced Leo, a proprietary application built around the company's evolving GEO methodology. The platform combines AI-assisted content workflows with organizational knowledge and optimization frameworks to help marketing teams create, refine, and publish content optimized for both traditional search engines and emerging AI-powered discovery experiences.

Unlike conventional SEO tools that primarily focus on keyword rankings and technical optimization, Leo is designed to support content discoverability across large language models, Google AI Overviews, and other generative search environments. The platform also streamlines publishing workflows by integrating directly with content management systems, reducing manual formatting while preserving optimization best practices.

The launch reflects growing enterprise demand for technologies that support AI search optimization rather than traditional SEO alone. Marketing teams increasingly need to structure content so that it can be understood, cited, and surfaced by conversational AI systems while continuing to perform well in conventional search results.

Beyond product development, GNW continues to position its GTM Orchestration Framework as a strategic consulting model that aligns marketing strategy, technology, data, and operational execution. As organizations navigate AI adoption, fragmented customer journeys, and increasing accountability for revenue generation, integrated go-to-market operations have become an important area of enterprise investment.

Industry analysts continue to highlight this transformation. According to Gartner, generative AI is fundamentally changing enterprise search, customer engagement, and digital marketing workflows, prompting organizations to rethink how content is created, governed, and optimized. Meanwhile, McKinsey & Company reports that organizations embedding generative AI into marketing operations are achieving greater productivity and accelerating content production while maintaining stronger alignment between marketing and business objectives.

GNW Consulting's latest initiatives also reflect increasing competition among MarTech providers seeking to help enterprises adapt to AI-driven discovery. Technology ecosystems from Google, Microsoft, Adobe, Salesforce, and Amazon continue to expand AI capabilities across search, marketing automation, analytics, and customer engagement platforms, increasing demand for complementary GEO strategies.

For B2B marketing organizations, the announcement signals a broader evolution in search optimization. Rather than treating GEO as an extension of SEO, enterprises are beginning to integrate AI search optimization into content strategy, marketing operations, and go-to-market planning. As buyer behavior increasingly shifts toward conversational search experiences, organizations capable of optimizing content for both search engines and generative AI platforms may gain a competitive advantage in digital visibility and demand generation.

Market Landscape

Generative Engine Optimization is emerging as a new discipline alongside traditional SEO as enterprises adapt to AI-powered search experiences. Gartner expects generative AI to significantly reshape digital discovery and content workflows, while McKinsey notes that organizations integrating AI into marketing operations achieve greater productivity and faster execution. As Google AI Overviews, LLMs, and conversational search continue to influence buyer journeys, GEO is becoming an important capability for enterprise marketing teams seeking sustained digital visibility.

Top Insights

• GNW Consulting expanded its GEO practice while introducing Leo, a proprietary platform designed to operationalize AI search optimization across enterprise content programs.
• A new benchmark study found that 92% of surveyed B2B organizations are experimenting with or operationalizing Generative Engine Optimization strategies.
• Leo combines AI-assisted workflows with structured optimization methodologies to improve discoverability across Google AI Overviews, LLMs, and traditional search.
• The company's GTM Orchestration Framework aligns marketing strategy, technology, data, and execution to improve business outcomes in AI-driven marketing environments.
• Enterprise organizations are increasingly integrating GEO into broader marketing operations as buyer behavior shifts toward conversational and AI-powered search experiences.

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