Clinch has unveiled a new Generative Engine Optimization (GEO) solution designed to help brands understand, measure, and improve how they are represented across AI-powered search and discovery platforms. Developed in partnership with Whitebox, a specialist in AI visibility intelligence and optimization, the solution expands Clinch’s capabilities beyond advertising execution into broader AI-era brand management.
As generative AI increasingly influences how consumers discover, evaluate, and compare brands, the new GEO offering provides marketers with actionable insights into brand visibility across platforms such as ChatGPT, Gemini, Claude, Perplexity, and AI-generated search overviews.
Bridging AI Discovery and Omnichannel Marketing
Unlike traditional optimization tools, Clinch’s GEO solution directly connects AI visibility insights with creative strategy and campaign execution workflows within the company’s Flight Control platform.
This integration allows marketing teams to use AI-driven insights to refine messaging, optimize creative assets, and shape campaign strategies across multiple channels. The result is a continuous feedback loop that links AI-generated brand perception with real-world marketing execution.
“Generative AI is becoming the narrator at the top of the funnel, shaping how brands are described, compared, and recommended before a consumer ever takes the next step,” said Sam Jones, SVP, Performance Strategy at Canvas Worldwide. “In high-consideration categories like automotive, that narration can decide who earns real consideration and who gets filtered out early. What makes GEO powerful is turning that into an operating loop: measure how you’re showing up, understand the citations and sources driving that perception, and apply those insights directly to content and creative decisions so your brand’s narrative becomes more accurate, differentiated, and consistent over time. Critically, GEO makes competitive context visible – helping brands identify strengths, gaps, and whitespace in how AI platforms compare and recommend answers to the questions consumers are asking.”
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Measuring and Optimizing AI Visibility
The GEO platform begins by establishing a baseline of a brand’s presence across leading AI systems. Key performance indicators include:
- Brand visibility and mention rates
- Sentiment analysis
- Comparative rankings against competitors
- Inclusion rates in AI-generated responses
- Website references and citations
- Source and topic analysis influencing AI-generated narratives
These insights enable brands to identify how AI models interpret and describe their products and services, while uncovering opportunities to improve discoverability and influence future AI-generated recommendations.
Creating a Closed-Loop AI Optimization Framework
As well as analyzing and understanding, the solution allows organizations to develop and implement content strategies that will shape how brands are referenced and recommended by AI systems. Use and results can be added back into Flight Control directly to ensure promoted AI references mirror omnichannel creative campaigns and customer experience.
GEO functions are generally employed without any partnership in place to monitor visibility. Alternatively, they can be used as part of a closed loop, linking AI discovery, in content creation, campaign planning and activation.
Early Results Demonstrate Strong Visibility Gains
According to Clinch, early adopters have already experienced meaningful improvements in AI-driven brand visibility. One major retail brand reportedly increased its AI mention rate from 50% to 68% within two months by combining optimized website content with targeted third-party content placements.
The methodology has since been applied across multiple industries, including B2B, B2C, and e-commerce sectors.
Executive Perspectives
“Brand marketers can see what their creative teams produced and what their media teams activated. What they cannot see today is how generative AI systems are surfacing their products to consumers making purchase decisions,” said Oz Etzioni, Co-Founder and CEO of Clinch. “That blind spot will define which brands hold consideration over the next several years. Bringing GEO into Flight Control puts AI discovery on the same operational layer as everything else a brand orchestrates.”
Ofri Touboul, Co-Founder and CEO of Whitebox, emphasized the importance of connecting AI visibility data with execution.
“GEO cannot remain just a reporting layer. Brands need to understand how AI systems describe and recommend them, and turn those insights into content, creative, and campaign decisions,” said Ofri Touboul, Co-Founder and CEO of Whitebox. “Our partnership with Clinch connects AI visibility intelligence directly to execution, helping brands apply these insights in ways that meaningfully influence AI-generated outcomes.”
Supporting the Future of AI-Powered Brand Discovery
With AI increasingly serving as a primary source of product recommendations and brand information, Clinch’s GEO solution aims to give marketers greater control over how their brands are represented in generative search environments. By integrating AI visibility intelligence with campaign execution, the company is positioning GEO as a strategic tool for brands seeking to strengthen discoverability, improve competitive positioning, and maintain consistency across emerging AI-driven customer journeys.