Channel99 Links B2B Marketing Data to GenAI, Forging a New AI-Powered Cloud

SAN FRANCISCO, CA – February 25, 2026 – B2B marketing platform Channel99 today announced it has integrated its marketing intelligence data with the industry's leading generative AI platforms, including OpenAI's ChatGPT, Microsoft Copilot, and Claude. The move enables marketers to conversationally query their company's complete, cross-channel performance data directly within the AI tools they use daily, representing a significant step toward a more dynamic, AI-driven marketing ecosystem.

The integration is powered by a Model Context Protocol (MCP) server, a component based on an emerging open standard designed to create secure, two-way communication between AI models and external data sources. By adopting this protocol, Channel99 aims to break down the walls that have traditionally separated complex marketing analytics from the generative AI assistants rapidly becoming central to modern workflows.

This new capability allows marketing leaders to move beyond poring over static dashboards and reports. Instead, they can now ask complex questions in plain language—such as "What were our top-performing channels for driving pipeline last quarter?" or "Build me an audience of target accounts showing high intent for our product category"—and receive instant, data-backed answers and strategic recommendations.

"Customers want to engage with their data and performance insights through the tools they use every day, which are increasingly generative AI solutions," said Chris Golec, Founder & CEO of Channel99, in the company's announcement. "We are removing the guesswork and operational inefficiency, providing fact-based answers in seconds."

A New Standard for AI Data Connectivity

At the heart of the new integration is the Model Context Protocol (MCP), a technology that industry experts are comparing to the "USB-C port for AI." Introduced by AI safety and research company Anthropic in late 2024, MCP is an open standard designed to solve the problem of AI models being isolated from the vast and varied data sources businesses rely on. Instead of building fragile, one-off integrations for every tool, MCP provides a universal framework for AI to securely access and interact with everything from content repositories to complex business platforms.

Channel99's implementation of an MCP server is one of the first in the marketing technology space to expose such a comprehensive dataset. While other platforms may offer access to siloed data from a single channel, Channel99’s server provides a unified view, combining information from paid media, organic social, email, website engagement, intent data providers, and CRM systems. This allows the AI to draw conclusions based on a complete picture of an account's journey, rather than just a fraction of it.

This approach directly addresses a primary challenge in leveraging AI for business strategy: data quality and accessibility. For generative AI to produce reliable and truly insightful recommendations, it requires a foundation of clean, connected, and context-rich data. By structuring its unified data for consumption via MCP, Channel99 is effectively providing the high-octane fuel needed to power sophisticated AI-driven marketing engines.

Challenging the Limits of Traditional Attribution

A key aspect of Channel99's platform, now amplified by its GenAI integration, is its focus on capturing a far broader spectrum of customer signals than traditional attribution tools. The company claims to gather ten times more signals by meticulously tracking "click-less" engagements—interactions that heavily influence B2B buying decisions but are often missed by models focused solely on clicks.

These overlooked signals include display ad impressions, email opens, engagement with organic social media content, and views of syndicated articles. In the complex and lengthy B2B sales cycle, where a buying committee may interact with a brand dozens of times across numerous channels before ever clicking a link or filling out a form, these touchpoints are critical. This is often referred to as the "dark funnel," a major blind spot for marketers trying to understand the true return on their investment.

By connecting these previously disconnected signals to pipeline and revenue at the account level, the platform provides a more holistic and accurate data foundation. When this enriched data is fed into a large language model, the AI's ability to identify meaningful patterns and recommend effective actions is significantly enhanced. It can confidently suggest budget shifts or content strategies based on a complete journey, not just the final click that led to a conversion.

From Data Analysis to Instant Action

The practical implications of this integration promise to transform the daily work of B2B marketers. The ability to use conversational prompts to execute complex tasks democratizes data science, making advanced analytics accessible to team members without specialized skills. According to the company, marketers can now use simple prompts to generate complete, outcome-based marketing plans, specifying only a pipeline target to receive recommendations on everything from vendor selection to projected ROI.

Other key capabilities highlighted include:

• Intent-Driven Audience Creation: Marketers can ask the AI to build dynamic lists of target accounts based on historical performance data and real-time intent signals, and then immediately receive an optimal channel mix and budget for engaging them.
• Improved Content Discoverability: By analyzing what keywords and topic clusters are driving pipeline, the AI can help marketers refine their SEO and content strategy to improve brand visibility within both traditional search engines and emerging AI answer engines.

This shift from reactive analysis to proactive, AI-assisted strategy execution reflects a broader trend across the MarTech landscape. While many platforms, including major players like 6sense and HubSpot, have deeply integrated AI into their own systems for lead scoring and personalization, Channel99's approach of exporting its unified data to external, best-in-class AI tools is a notable differentiator. It acknowledges that marketers will not operate within a single platform but will instead leverage a suite of specialized tools, with generative AI acting as a central hub for intelligence and action. The integration is available immediately for existing and new customers.