G2 MCP: Real Buyer Signals, Right Inside Your AI Tools

Paying for buyer data and actually using it are two different things. Most teams are still running AI-assisted workflows on scraped web content, inferred signals, and outdated reports, while the G2 data they're paying for never gets put to work. The answers feel useful until teams try to act on them and realize there's no real buyer behavior behind any of it.

G2 MCP changes that. G2 MCP Direct Access is now available inside my.G2, giving customers a direct line to G2 Buyer Intent data and review insights without needing external AI tools. For teams already working in ChatGPT, Claude, HubSpot, Gong, Profound, and AirOps, G2 MCP connects that same first-party buyer intent data and verified customer reviews directly into those workflows. More than 1200 users across 550+ organizations are already querying buyer intent and review data through natural language prompts, without leaving the tools they work in every day.

Here's how each integration works and how go-to-market (GTM) teams can start leveraging these connectors today to deliver immediate value.

AirOps

Software brands rely on their marketing teams to produce content that brings buyers in: comparison pages, category guides, and competitor breakdowns. AirOps helps teams create that content at scale, and G2's MCP integration makes it more effective by grounding it in verified customer voice from G2 reviews. Instead of generic copy, marketing content can now reflect specific, authentic insights on how buyers actually describe their problems, priorities, and reasons for switching.

Content that sounds like real human customers versus corporate marketing language not only resonates better with prospective buyers, but also performs better in AI search, where high-intent buyers increasingly start their research. When the content your marketing team creates is built on verified G2 reviews, it's more likely to surface in AI answers when buyers ask for a product or service recommendation in your category. More visibility with the right buyers means more inbound pipeline to work with.

ChatGPT

ChatGPT has become a go-to starting point for software research for both buyers and sellers. G2's MCP App for ChatGPT puts verified G2 review data and product information directly inside that conversation, so buyers can research and compare software options without switching tools. For sellers of software products and services, that same integration surfaces G2 Buyer Intent insights, providing visibility into the products and competitors buyers are actively evaluating.

The difference comes down to sourcing. Instead of ChatGPT synthesizing answers from whatever it finds on the open web, it's drawing on verified reviews from real G2 users and actual buyer behavior data. For G2 customers, that means the intelligence driving their AI-assisted research is the same data their buyers are relying on to make decisions — not a best guess based on public information.

Claude

Claude is where much of the strategic sales work happens: competitive analysis, account research, call prep, and pipeline review. G2's MCP integration with Claude makes it all sharper by grounding it in real buyer signals. Sellers can ask natural language questions about which accounts are researching competitors, which objections most often surface in reviews, and which messaging is resonating with buyers — and get answers backed by G2 data.

The practical impact is speed and confidence. Instead of pulling a G2 report, exporting data, and digging through it to find what's relevant, teams can ask Claude a question and get an actionable answer. Buyer activity, competitive comparisons, review sentiment: all of it available in real time, directly inside Claude.

Gong

Gong tells you what happened on a call. G2 MCP tells you what the prospect was doing before it: which competitors they researched on G2, which comparison pages they visited, and how their intent signals have been trending. That context, surfaced directly inside Gong, changes how reps show up to conversations.

Instead of walking into a discovery call with only CRM notes and a LinkedIn profile, sellers can know that the prospect has been actively comparing two competitors over the last two weeks. That's not a minor upgrade. It's the difference between a reactive conversation and a proactive one. G2 MCP for Gong gives sellers the buyer context to have the right conversation at the right time.

HubSpot

GTM teams often spend significant time in HubSpot managing contacts, running sequences, and tracking pipeline. G2 MCP for HubSpot brings buyer intelligence into that environment by connecting G2 Buyer Intent and verified customer reviews to HubSpot's Breeze Agents. With the G2 MCP, a CRM doesn't just show what happened with an account; it reveals what that account is actively researching right now.

This means that before reaching out to a prospect, a seller can see whether the prospect has been researching their category, comparing competitors, or revisiting their G2 Profile. Instead of generic outreach based on firmographic data, teams are working from real buying signals. That's the difference between reaching out at the right moment and reaching out into the void.

Profound

AI Search is changing how buyers discover and evaluate software, creating a new challenge for marketing teams: controlling how their brand is represented in AI-generated recommendations. Profound helps companies measure how they appear across AI platforms, identify inaccurate AI answers, uncover negative sentiment, and then deploy Profound Agents to close those gaps across channels.

With G2's MCP integration, those insights and actions are grounded in real market signals. By combining verified customer reviews and buyer intent data, marketing teams can see not only how AI models describe their brand, but whether that representation aligns with where buyers are actively evaluating software. For example, if buyer interest in a category is increasing but your brand is underrepresented in AI-generated recommendations, G2 data provides the context needed to identify the opportunity, prioritize where to focus, and create content with Agents to remedy.

Get started with G2 MCP today, connected with the AI tools you already use

AI tools are only as useful as the data behind them, and up-to-date, verified buyer data is the highest-quality signal available. Whether your team works in ChatGPT, Claude, HubSpot, Gong, Profound, or AirOps, G2 MCP brings real buyer intelligence into the workflow. No extra tabs, no manual exports, no lag between insight and action.

Chris Smith, Digital Content Manager of Ideagen, shared his excitement for the opportunity of G2's MCP:

"As someone who lives in the world of content, I can see real, actionable value in the MCP, particularly around user intent. It will give us easy, efficient access to our own data, which is fantastic for creating helpful, valuable content for our customers and wider user base. It will enable us to use our data more effectively, to build better content for customers."

Chris Smith
Digital Content Manager, Ideagen

Ready to put it to work? If you're already a G2 customer, your access to our MCP is based on your current subscription. Connect your tools and start using G2 data in your AI workflows today. If you're not yet a customer, tell us how you want to use it, and we'll get you started.