Gracenote vs Innovid

Index Exchange CEO: Sell-Side Innovation, CTV Transparency, AI Agents

In an interview with ADZINE, Andrew Casale, CEO of Index Exchange, discusses the evolution of programmatic advertising. He argues that sell-side innovation, including modeling and containerization, is increasing complexity but also value. Buyers can now run their own models on the sell-side, democratizing decision-making. Casale addresses the black box concern, noting that while the internal logic of buyer models is opaque, the platform observes their actions. He highlights the shift towards modular infrastructure, with Index enabling data providers and DSPs to run modules on its cloud. Regarding CTV, Casale emphasizes the need for more transparency, noting that while genre data is increasingly available, show and episode data remain limited due to legal and distribution issues. He discusses the evolution of pod serving and the role of agentic advertising, distinguishing between workflow automation and impression-level decisioning, which remains the domain of mathematical models. Casale sees AI agents as useful for automating manual tasks but not as a revolution that will shift power from walled gardens.

• Andrew Casale, CEO of Index Exchange, discussed sell-side innovation, CTV transparency, and AI agents in an interview.
• Index Exchange processes around 20 million requests per second.
• Most of Index Exchange's CTV supply includes genre data; show and episode data are often kept for direct deals.

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.

NIVO for Meta Ads: Prompt Playbook and AI-Powered Advertising Operations Webinar

Innovid has released the NIVO for Meta Ads Prompt Playbook to help marketers manage and optimize campaigns using AI-driven conversational workflows. Leveraging NIVO AI alongside Meta's ads MCP server, the playbook provides structured prompts for budget optimization, creative refresh, and performance troubleshooting. The operational model follows a four-step framework—See, Diagnose, Decide, Act—maintaining human approval before executing changes.

• Innovid published the 'NIVO for Meta Ads: Prompt Playbook' resource on October 14, 2026.
• The solution integrates NIVO AI with Meta's ads MCP (Model Context Protocol) server to transform campaign questions into actionable intelligence.
• Workflows are structured around a four-step framework: See, Diagnose, Decide, Act, requiring human verification before changes are made.

Adland's Priorities: AI, People, and Governance

The article is an opinion piece by Shirley Smith, SVP Sales EMEA at Innovid, reflecting on key themes from MAD//Fest and the industry's evolving approach to AI. It highlights that the conversation has moved beyond 'whether to use AI' to 'where and how to use it for genuine value,' emphasizing the need for human judgment. The piece calls for greater focus on AI governance as organizations embed AI into operations, and stresses the importance of investing in people, talent pipelines, and diversity to ensure AI strengthens rather than narrows the industry. It cites the Digilearning initiative as an example of industry collaboration. No specific corporate announcements or new product launches are made.

• Article authored by Shirley Smith, SVP Sales EMEA at Innovid.
• AI conversation has shifted from implementation to optimization.
• Emphasis on AI governance and accountability in business processes.

Innovid Earns 33 Badges in G2 Fall 2026 Reports, Including #1 Enterprise Rankings in Creative Management and Mobile Advertising

Innovid achieved 33 badges in the G2 Fall 2026 Reports, securing multiple #1 rankings for Creative Management and Mobile Advertising.