Viomba has unveiled the Model Context Protocol (MCP), an innovation that allows any AI agent to access high-precision human attention intelligence. This launch represents a notable shift in advertising, especially for AI-driven campaigns, by eliminating barriers such as enterprise contracts and complex configurations. Starting with a free evaluation that includes 200 Attention Credits upon email registration, Viomba's MCP aims to be both cost-effective and user-friendly.
The MCP enables users to benchmark various creatives, including display, social media, and video ads, allowing marketers to assess attention scores before launching their campaigns. Users can create high-attention variants of their content and pinpoint effective attention drivers tailored to their brand's needs. Additionally, the protocol predicts ad-placement outcomes and generates high-attention scripts suitable for Demand Side Platforms (DSP) and Supply Side Platforms (SSP).
Built on a decade of research and development, Viomba's technology relies on foundational neural networks trained with billions of gaze fixation data points collected from real-world media environments. Unlike many existing solutions, Viomba uses infrared eye tracking technology to accurately differentiate genuine gaze fixations from fleeting saccades. According to Markku Mäntymaa, the Founder and CEO of Viomba, the company’s competitive advantage stems from its ability to consistently gather high-quality data over the years. He noted, "Our strongest competitive moat has been the sheer difficulty of consistently collecting high-quality real-world gaze fixation data at scale, year after year on ad-on-placement level, while knowing any AI is only as intelligent as the data it trained with."
Viomba's methodology follows the highest standards set by industry bodies like the Interactive Advertising Bureau (IAB) and the Media Rating Council (MRC). This approach combines deterministic evidence of human attention with scalable predictive modeling, ensuring advertisers can make informed decisions based on authentic attention metrics. This duality transforms how attention is measured and reported, providing a comprehensive view that includes creative development and outcome analysis.
With the MCP, AI agents can articulate how creative elements, placement strategies, and contextual factors impact consumer attention. This understanding builds trust between media buyers and publishers by providing shared evidence that can enhance attention quality in advertising placements. Integrating creative insights into the advertising value chain not only boosts campaign effectiveness but also addresses the mistrust often present in the industry.

Founded in 2014 and based in Helsinki, Viomba has established itself as a leader in human attention intelligence. The company has dedicated years to developing its technology, which is entirely tagless, ensuring ease of use for all AI agents. As the advertising industry continues to evolve alongside AI, Viomba's MCP could play a crucial role in shaping the future of attention quantification and its application for marketing success.
With its latest offering, Viomba is poised to redefine success metrics in digital advertising, providing tools that are both innovative and grounded in empirical data from natural browsing behaviors. As the industry shifts toward more data-driven strategies, Viomba's approach may set a new standard in attention intelligence, making it accessible for all AI-driven platforms.
Quick answers
What is Viomba’s Model Context Protocol?
The Model Context Protocol allows AI agents to access high-precision human attention intelligence for advertising.
How can users evaluate Viomba MCP?
Users can register to receive 200 free Attention Credits, with additional credits available for those who register with a Stripe card.
What distinguishes Viomba’s data collection method?
Viomba uses Tobii infrared eye tracking to accurately capture genuine gaze fixations, providing high-quality data.
How does MCP improve advertising strategies?
MCP enables advertisers to benchmark creatives, predict outcomes, and optimize attention quality, enhancing overall campaign effectiveness.
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