Guideline Launches AI Agent to Transform Media Intelligence Through Conversational Insights

Guideline, a leader in media intelligence and planning software, announced the launch of the Guideline AI Agent, a conversational interface designed to revolutionize how media buyers and sellers access and interpret advertising spend and pricing intelligence. Integrated directly into Guideline’s customer-facing data platform, the AI Agent allows users to ask questions in plain English and receive instant, accurate insights in the form of text, charts, tables, visual comparisons, and diagnostic context. These outputs can be shared across the organization via automated dashboards, significantly expanding the reach and value of Guideline’s proprietary data.

For years, Guideline’s intelligence products have guided leading media teams, offering unparalleled accuracy and depth to shape strategic decisions. The Guideline AI Agent enhances this capability, transforming verified transaction data into real-time, automated intelligence. By removing manual data processing, users can make faster, more informed decisions, optimize reporting, and unlock actionable insights throughout the organization.

Vincent Mifsud, CEO of Guideline, said: “With this new AI Agent, we are helping our customers derive instant insights to Guideline’s unmatched data foundation. Our customers can now move from a plain English question to decision in seconds, accelerating time to value, enhancing insight readiness, and unlocking new ways to apply differentiated intelligence across their organizations.”

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Core Capabilities

• Automated Visualizations: Generates customizable charts and tables for easy interpretation, editing, and sharing.
• Data Export & Sharing: Download outputs in PNG, CSV, or XLSX for seamless integration into reports, presentations, and workflows.
• Custom Analytics: Apply filters, compare dimensions, and adjust visuals to surface the most meaningful patterns and anomalies.
• Dynamic Dashboards: Pin and organize visualizations into interactive dashboards that evolve with every new question, enabling ongoing exploration and storytelling.

This launch marks a significant milestone in Guideline’s broader AI strategy. By the end of the year, the company plans to introduce a Model Context Protocol (MCP) layer, integrating qualitative and quantitative data to provide richer, more contextual insights. As the AI Agent evolves, Guideline aims to move beyond descriptive and diagnostic intelligence toward predictive and prescriptive guidance, empowering users to anticipate trends and make proactive decisions.

By combining trusted transaction-based data with advanced agentic AI, Guideline is shaping a future where users can leverage natural language to create personalized analytic environments, adapting quickly to evolving market conditions and business needs.