G2 Launches Innovations for Go-to-Market Teams to Activate Buyer Signals and Build Pipeline

AI has changed where software buying begins, and most go-to-market teams are still catching up.

Buyers are building shortlists inside AI tools long before most revenue teams know they're in market, and what gets recommended in the AI search answers depends on what those AI systems can trust. The signals exist in buyer intent, customer voice, and competitive insights, but most teams have no way to act on them in the moment that matters.

At G2, we're building new capabilities designed to close that gap, bringing trusted buyer behavior data directly into the AI agents, CRMs, and analytics environments that go-to-market teams use every day.

G2 data - now inside the tools your team already uses

G2's MCP integrations have seen strong early adoption. More than 350 customers and more than 100 weekly active users are already querying Buyer Intent and customer reviews. And they're doing so directly in the tools they use every day. G2 customers can also apply these MCPs to build agents that further automate their processes within each platform.

The motivation for growing our MCP quickly is straightforward: Teams shouldn't have to leave their preferred tools to access G2's buyer intelligence. MCPs make that type of seamless work experience possible while also enriching the available data.

G2 now offers MCP integrations with six platforms:

• ChatGPT enables software research and comparison using verified G2 reviews and product data directly inside ChatGPT, including access to G2 Buyer Intent insights for product and competitor research.
• Claude allows users to ask questions about buyer activity, competitive positioning, and review sentiment in real time, without leaving the tool.
• HubSpot connects G2 Buyer Intent and verified customer voice to HubSpot Breeze Agents, so teams can see what prospects are researching and take action in one place.
• Gong surfaces Buyer Intent signals and competitive research behavior within Gong workflows, giving sellers relevant account context before calls.
• Profound connects G2 Buyer Intent and verified customer voice to show where brands appear in AI-generated answers and inform content strategy to improve gaps.
• AirOps incorporates live G2 reviews and discussions into content generation at scale, so that brands show up as the answer in AI search and can pull high-intent buyers into their pipeline.

We're also introducing data connectors for Snowflake, BigQuery, and Databricks, bringing G2 data directly into existing analytics environments. Teams can combine these insights with CRM and product usage data to build a stronger, more complete view of the competitive market and potential pipeline.

G2 Buyer Intent is now broader and more actionable

Not only have we expanded Buyer Intent coverage across Capterra, GetApp, and Software Advice, giving teams up to 2x more buyer signals, but we're now adding new ways to see and act on that data.

• Intent Studio (beta) allows teams to build and target audiences directly within G2 based on buyer intent and engagement signals. No manual list exports, no rebuilding segments elsewhere.
• Activity Feed surfaces the last 10 signals per account with line-item detail, including category research, competitor comparisons, review interactions, and more. G2 customers can now tailor outreach to what a buyer is actually doing, not just to the fact that they're active.

New tools to build and sustain customer voice

Review presence is increasingly tied to AI search visibility, meaning the companies with the strongest, most credible review signals are the ones showing up in the results that matter. G2 introduced three new capabilities to help companies build and sustain that presence.

• Review Rally lets teams run review campaigns directly in my.G2 by creating contests, assigning unique review links to participants, and tracking results through a live leaderboard. The goal is to make review generation a repeatable motion, not a one-time push.
• Guided Review Experience is a redesigned, step-by-step review flow with real-time writing suggestions that makes it easier for customers to submit higher-quality feedback.
• Review Optimizer, available in my.G2, identifies the next best review action to improve review volume, visibility, and performance using real-time competitive signals.

AI Blueprints: Peer-validated workflows that are ready to install

Most teams have moved past the question of whether to use AI. The harder question is how to actually implement it well. AI Blueprints is G2's answer to that.

AI Blueprints extends G2's peer validation model to help teams become more effective at implementing the AI tools they're already evaluating on G2. The library includes over 500 peer-submitted AI skills and workflows from real practitioners, not vendors. Each Blueprint covers the strategy, process, tools, and business impact behind real AI implementations across a range of use cases.

Every Blueprint also includes the option to save the corresponding skill or use a simple "Install" prompt to bring the task directly into an existing environment. Because these Blueprints come from practitioners, not vendors, teams can evaluate them the same way they'd evaluate a G2 review: as real experience, not marketing.

See G2's latest innovations in action

For go-to-market teams, getting trusted buyer signals into the tools you already use, without rebuilding workflows or exporting lists, is critical. For software vendors, stronger review presence and broader Buyer Intent coverage mean more visibility in the places buyers are actually doing their research. For organizations figuring out how to implement AI effectively, AI Blueprints applies G2's peer validation model to peer-submitted workflows that enable rapid scaling.

To see these innovations in action, watch G2's Quarterly Innovation Drop, AI Agents, MCP, and the New Intent Stack, on demand.