Informa TechTarget Launches MCP Server to Bring ‘Buyer Intelligence’ into AI Workflows

Customers can work with person-level buyer intent data in their preferred AI tools without switching platforms.

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B2B marketing and sales teams can now tap into proprietary person-level intent data and buyer insights directly from within LLMs including Claude, ChatGPT, Copilot, Gemini, and custom-built AI systems

NEWTON, Mass.--(BUSINESS WIRE)-- Informa TechTarget (Nasdaq: TTGT), an indispensable partner for B2B intelligence, media, and marketing solutions, today announced that its AI-enhanced Buyer Intelligence solution is accessible via Model Context Protocol (MCP) server. Now, B2B GTM organizations can integrate Informa TechTarget’s industry-leading, person-level intent data and behavioral insights directly into AI workflows powered by Claude, ChatGPT, Copilot, Gemini, and custom AI systems. This enables B2B marketing and sales teams to build account battlecards, conduct account and market analyses, and craft personalized buyer outreach messages—all within their preferred AI workflows—based on the nuanced understanding of potential buyers' specific pain points and research behaviors that only Informa TechTarget’s Buyer Intelligence provides.

This is the newest way in which Informa TechTarget is making it easier for customers to incorporate Buyer Intelligence into their GTM systems. In addition to Informa TechTarget's Portal customer platform and now, AI workflows, flexible access options include direct connections to major marketing automation (MAP), customer relationship management (CRM), and account-based marketing (ABM) platforms, as well as AI-ready data clouds and other modern data stack solutions.

"We strive to be an indispensable partner to our customers, so we’ll continue to innovate to support their success as AI opens up new opportunities to drive even more value from our proprietary intent data and insights," said Gary Nugent, Chief Executive Officer of Informa TechTarget. "Now our customers can seamlessly incorporate our uniquely rich intelligence to drive measurable growth with confidence and fuel their GTM success, whether they're building an account strategy in Salesforce, analyzing buying patterns in Snowflake, or working with more advanced agent-led skills and workflows in tools like Claude.”

Earlier this month, Informa TechTarget announced the launch of AI capabilities—called Pain Points, Pitch Assist, and Persona and ICP Intelligence—within Buyer Intelligence, created specifically to deliver more personalized guidance and messaging to B2B GTM teams. Informa TechTarget’s Buyer Intelligence is derived from the directly observed actions of its global business and technology decision-maker audience—whose members generate millions of exclusive intent signals daily—based on the trusted expert guidance of Informa TechTarget's award-winning editorial properties and BrightTALK webinar communities. By infusing this uniquely powerful person-level intent data directly into AI workflows, customers can transform these robust signals into actionable intelligence without switching between platforms or logging into separate systems.

"The combination of our purpose-built AI skills and this new accessibility via AI workflows really unlocks the power of our Buyer Intelligence in ways we haven’t been able to realize until now," said Mark Picone, Chief Product and Technology Officer of Informa TechTarget. "By making our person-level intent data accessible via MCP server and other modern data infrastructure, we're enabling our customers to build and enhance sophisticated, AI-driven GTM motions leveraging the richest buyer data available in B2B.”

Informa TechTarget has consistently been recognized as an industry leader in intent data, including recognition as a Leader and Customer Favorite in Forrester Wave™: Intent Data Providers For B2B, Q1 2025 (the most recent publication of this report); a Leader in the Frost Radar™: Account-Based Marketing Platforms; and a Leader in Research in Action's Vendor Selection Matrix for Revenue Marketing Automation Platforms.

To learn more about Buyer Intelligence and the variety of ways it can be integrated into AI and GTM workflows, at www.informatechtarget.com/products/buyer-intelligence/.

About Informa TechTarget

Informa TechTarget informs, influences and connects the world's technology buyers and sellers, and aims to be an indispensable partner in driving clients’ go-to-market success. With a vast reach of over 220 highly targeted technology-specific digital properties and approximately 58 million permissioned first-party audience members, Informa TechTarget has a unique understanding of and insight into the technology market.

As a leading provider of market intelligence, industry journalism, brand and demand marketing solutions, content strategy and creation, and exclusive buyer intent data, we deliver expert-led, data-driven, and digitally enabled services that create significant impact and measurable outcomes for our clients. All of this is underpinned by a unique audience data ecosystem and fueled by buyer insights and expertise.

Informa TechTarget is headquartered in Boston, MA and has offices in 19 global locations. For more information, visit informatechtarget.com and follow us on LinkedIn.

© 2026 TechTarget, Inc. d/b/a Informa TechTarget. All rights reserved. All trademarks are the property of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260929662286/en/

Media Contact:
Theresa Tepper
Public Relations
Informa TechTarget
Theresa.Tepper@informatechtarget.com

Source: TechTarget, Inc.

Key Terms

model context protocol technical

A model context protocol is a set of rules or guidelines that determine how a financial model interprets and applies information within a specific situation. It helps ensure consistent and accurate analysis by clarifying what data or assumptions are relevant in a given scenario. For investors, it provides clarity on how predictions or assessments are made, increasing confidence in decision-making.

llms technical

Large language models are advanced computer programs that read and generate human-like text by learning patterns from huge amounts of written material; think of them as digital employees that can draft reports, answer questions, summarize documents, or generate code. They matter to investors because they can change a company’s costs, speed of product development, customer service, and competitive edge — and they also create new risks and regulatory questions that can affect profits and valuation.

customer relationship management technical

Customer relationship management is the system of tools and practices a company uses to track every interaction with customers—like a combined address book, purchase history, and reminder system that sales and support teams use to keep relationships healthy. Investors care because strong CRM helps a company keep customers coming back, predict future revenue more accurately, lower sales and marketing costs, and signal whether growth is sustainable or at risk.

account-based marketing technical

A targeted business marketing approach that focuses resources on a small set of high-value customer accounts rather than broad audiences. Think of it like sending tailored invitations to a handful of key guests: campaigns are personalized, coordinated with sales, and measured for direct impact on winning and growing those accounts—information investors use to assess a company’s sales efficiency, revenue predictability, customer retention, and cost of acquiring big clients.