Anoki AI vs Gracenote

Anoki AI Wins AI Marketing Copilot of the Year

Anoki AI announced that ContextIQ, its AI-native CTV planning platform, was named “AI Marketing Copilot of the Year” in the 9th annual MarTech Breakthrough Awards. ContextIQ provides scene-level video understanding—analyzing visuals, audio, dialogue, objects, emotional tone and narrative—to inform CTV planning and activation. The platform’s Copilot capability includes features called Creative Analyzer and Brief-to-plan prompting, enabling natural-language briefs to generate contextually matched scenes, brand-suitability filtering, scale forecasts, and activation-ready media plans. The recognition highlights Anoki’s approach to contextual intelligence for Connected TV and the product is available to Anoki partners.

• Anoki AI announced ContextIQ was named “AI Marketing Copilot of the Year” in the 9th annual MarTech Breakthrough Awards.
• ContextIQ is described as an AI-native CTV planning platform that provides scene-level video understanding (visuals, audio, dialogue, objects, emotional tone, narrative).
• ContextIQ’s Copilot includes two core capabilities: Creative Analyzer and Brief-to-plan prompting.

CTV Show-Level Data Glut Fails to Deliver Optimization Control

While CTV buyers increasingly demand show-level transparency, a new IAB report shows 43% lack confidence in inventory. Despite progress in show-level reporting, true program-level optimization remains elusive. Publishers and exchanges offer data, but limitations persist: incomplete bidstream signals, "unknown" titles, and lack of scaled optimization solutions. Privacy laws like VPPA, combined with household-level data, complicate sharing. Linear TV offers program-level control by design, while CTV faces a gap between reporting and active optimization. Buyers can receive post-campaign reports but can't programmatically target individual shows at scale, except via programmatic guaranteed deals. The industry is working toward compliant, scaled optimization, but meaningful progress is still needed.

• 43% of CTV buyers have little or no confidence in the inventory they buy (IAB).
• Major exchanges do not offer scaled show-level optimization as a standard product.
• One top-five streamer's SSP integration prevents pulling show-level reporting.

Gracenote expands AI product roadmap with sports MCP server, entertainment SLM and agents

The expansion comes as companies adopt general-purpose LLMs to improve viewer experiences, guide content decisions and streamline operations.

Gracenote study: 85% of sports fans want TV home screens to show when and where to watch favorite teams

91% of survey respondents say centralized sports information would make it easier to find the games and events they want.