Guideline has introduced its Ad Intelligence MCP Server, enabling enterprise users to securely access proprietary advertising market intelligence through Model Context Protocol (MCP)-compatible AI applications. The new solution allows organizations to query trusted ad spend, pricing, and market data using natural language across supported AI platforms, including ChatGPT, Claude, Gemini, Microsoft Copilot, and proprietary enterprise AI agents.
Guideline has expanded its AI capabilities with the launch of the Ad Intelligence MCP Server, allowing customers to access verified advertising intelligence directly within enterprise AI environments.
Rather than relying on dashboards, exported reports, or custom integrations, authorized users can ask natural language questions and retrieve subscription-based advertising data securely through AI assistants they already use.
The platform supports multiple MCP-compatible AI applications, giving organizations flexibility while maintaining governance and access controls.
The Ad Intelligence MCP Server enables enterprises to access Guideline's proprietary datasets covering:
Users can combine this information with approved internal business data to support planning, analysis, and strategic decision-making without repeatedly exporting reports or building separate integrations for each AI application.
The new MCP Server is designed to support a variety of enterprise use cases across the advertising ecosystem.
Examples include:
These capabilities allow users to access decision-ready intelligence directly within AI-powered workflows.
The platform is based on the Model Context Protocol (MCP), an open standard designed to connect AI applications with external data sources and enterprise tools.
By adopting MCP, Guideline enables customers to integrate advertising intelligence into AI platforms that align with their governance, security, and operational requirements, avoiding dependency on a single AI model or interface.
The company noted that the architecture supports both third-party AI assistants and internally developed enterprise AI agents while maintaining consistent access permissions.
The Ad Intelligence MCP Server represents the latest addition to Guideline's broader AI roadmap.
The launch follows the company's Media Plan Management MCP Server, introduced earlier in 2026, and complements Guideline's native AI Agent.
Together, these offerings provide customers with multiple deployment options, allowing them to:
"MCP brings Guideline's verified market intelligence directly into the AI workflows where critical decisions are now being made. Customers can use independent evidence to plan, negotiate and evaluate investments without being locked into a single model or interface. That is the future of enterprise intelligence: trusted data, available wherever the work happens," said Vincent Mifsud, Chief Executive Officer of Guideline.
"MCP separates the intelligence from the interface," said Danny Bohannon, Chief Technology Officer of Guideline. "A client can use Guideline's AI Agent, an enterprise assistant or a proprietary agent while access remains governed by the same Guideline permissions. That gives customers practical choice today and a more adaptable architecture as models and workflows continue to evolve."
With the introduction of the Ad Intelligence MCP Server, Guideline is extending enterprise access to advertising market intelligence through open AI standards, helping agencies, brands, media owners, and investors integrate trusted data into AI-driven decision-making workflows.
Guideline is a global provider of ad intelligence and media plan management technology for the world's leading brands, agencies, media owners and investors. Its solutions help enterprises understand advertising markets, manage media plans and make more informed decisions across the buying and selling ecosystem.
Guideline's media plan management solutions support more than $300 billion in managed media budgets across more than 60,000 active media plans and 10,000+ monthly users. Its proprietary spend and pricing data represents approximately $200 billion in annual media investment across 65 countries worldwide.
For more information, visit www.guideline.ai.