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Enhance AI Models with TV Outcomes Data

Source: edo.com

Published on October 2, 2025

Updated on October 2, 2025

Graphic showing AI models enhanced with TV outcomes data for better media planning

Enhance AI Models with TV Outcomes Data

EDO, a leading provider of TV outcomes measurement, is revolutionizing AI development by integrating TV outcomes data into AI models. This innovative approach empowers both advertisers and media partners to optimize their strategies, whether they are developing Vertical AI models, deploying Large Language Models (LLMs), or building custom AI agents. By leveraging EDO’s comprehensive TV advertising and outcomes database, companies can gain unparalleled insights into audience behavior, media performance, and creative effectiveness.

The Role of TV Outcomes Data in AI Innovation

TV outcomes data plays a critical role in enhancing AI models by providing structured, predictive insights derived from Convergent TV occurrences. EDO’s continuously updated database offers detailed information on ad performance across various media channels, enabling AI models to make more informed decisions. This data-driven approach helps companies optimize their media planning and achieve measurable results.

EDO for LLMs: Empowering Large Language Models

EDO for LLMs utilizes the Model Context Protocol (MCP) to provide Large Language Models with extensive insights from Convergent TV occurrences and their corresponding outcomes. This integration enables LLMs to access structured, predictive TV outcomes data, which is essential for informed media planning. By incorporating EDO’s premier Convergent TV ad database, companies can enhance their in-house LLMs with real-time, actionable insights.

EDO for Vertical AI Models: Optimizing AI Performance

EDO for Vertical AI Models offers a customizable Data Stream that delivers comprehensive and continually refreshed TV outcomes data. This data stream enhances Vertical AI models and optimization algorithms by providing them with up-to-date insights into ad engagement and performance. The Model Context Protocol (MCP) builds reference implementations that enable LLMs and agents to contextualize and analyze TV outcomes data effectively.

With EDO’s structured reports and analysis, companies can gain real-time insights into share of spend and voice, as well as detailed information about their media plan’s networks, programs, dayparts, and pod positions. This eliminates the typical delays associated with competitive reporting and provides AI-ready inputs, bypassing the need to manage cumbersome, disparate data tables.

Advantages Over Traditional TV Analytics

Unlike traditional TV analytics, which offer basic ad monitoring, EDO for AI Models delivers machine-readable competitive intelligence designed for AI consumption. This approach provides consistent access to Convergent TV ad intelligence at scale, presenting a complete and current view of performance across both streaming and linear TV. With over a decade of syndicated TV performance benchmarks and insights, EDO’s constantly updated database helps companies navigate media scenarios confidently.

By optimizing programmatic bidding based on actual consumer behaviors, companies can maximize yields and improve their AI optimization models. EDO’s reports and data enable AI models to spot seasonal trends, audience migration patterns, and optimal timing strategies, ensuring that companies stay ahead in the competitive media landscape.

Success Stories: Shutterfly’s Experience

Shutterfly, a prominent programmatic partner, used EDO for Vertical AI Models to achieve a substantial increase in Return On Ad Spend (ROAS) in a short period. By pinpointing its most advantageous Designated Market Areas (DMAs) with predictive outcomes data and integrating this market intelligence into a purpose-built algorithm with their programmatic partner, Chalice AI, Shutterfly achieved a significant boost in ROAS and a marked decrease in Customer Cost-per-Acquisition (CPA).

For more than 10 years, EDO has trained its Vertical AI models using its extensive TV ad database, encompassing over 300 million airings and trillions of impressions, all evaluated for their consumer engagement lift. Now, partners have the opportunity to train their AI models using the same dataset, ensuring that their AI investments are backed by proven, reliable data.

Build the most intelligent AI model in your field using TV’s most detailed outcomes database. To learn more about adding predictive TV outcomes data to your AI models, explore EDO’s full platform subscription.