KeyTakeaways
- With 51% of B2B software buyers now starting their research in an AI chatbot rather than Google, G2 is putting its first-party data directly where GTM teams work through MCP integrations
- G2 expanded its signal coverage and action tools with more Buyer Intent data across Capterra, GetApp, and Software Advice, a new Intent Studio for in-platform audience building
G2 has announced new product capabilities that bring buyer behavior data directly into the artificial intelligence (AI) agents, CRMs, and enterprise analytics environments that go-to-market teams use every day.
The innovations— which include MCP integrations with six category-leading platforms, expanded Buyer Intent signals from Capterra, Software Advice, and GetApp, a new Intent Studio, and AI Blueprints— give teams faster, more direct paths to turn buyer signals into action, according to G2 executives.
The news tools come on the heels of a G2 survey of B2B software buyers that found 51% now begin their software research with an AI chatbot more often than with Google. For software companies, that shift creates a visibility problem: Buyers are active, but their activity is happening in places that don’t surface in a CRM or trigger an alert.
How G2 is Providing Data to B2B GTM Teams
Alexis Zheng, Chief Product and Technology Officer at G2, commented that the signals exist— buyer intent, customer voice, competitive insights— but most teams have no way to act on them in the moment that matters, said
“Buyers are building software shortlists inside AI tools long before most revenue teams know they’re in market, and trust has become the currency that determines what gets recommended,” said Zheng in a statement. “G2 has spent years building the most trusted first-party dataset in B2B software, and we’re now putting that data directly into the platforms where go-to-market teams work.”
G2 Expands MCP Integrations Across AI, GTM platforms
G2’s MCP integrations have seen strong early adoption. With the new additions, G2 now offers MCP integrations for ChatGPT, Claude, HubSpot, Gong, Profound, and AirOps. Additionally, G2 introduced data connectors for Snowflake, BigQuery, and Databricks, which bring G2 data directly into customers’ existing data platforms. G2 customers can combine these insights with other sources, like CRM and product usage data, to build a stronger, more complete view of the competitive landscape and potential pipeline.
Building on expanded Buyer Intent coverage across Capterra, GetApp, and Software Advice— which gives teams up to 2x more buyer signals— G2 is now adding new ways to see and act on that data. In beta testing, its Intent Studio allows teams to build and target audiences directly within G2 based on buyer intent and engagement signals, without manually exporting lists or rebuilding segments elsewhere.
G2’s Activity Feed surfaces the last 10 signals per account with line-item detail, including category research, competitor comparisons, review interactions, and more. Now, G2 customers can tailor outreach to what a buyer is actually doing, not just to the fact that they’re active.
New Tools to Grow, Strengthen the Customer Voice
G2 introduced three capabilities to help companies build trust signals and maintain a strong review presence in AI search, including:
- Review Rally: Teams can now run review campaigns in my.G2 by creating contests, assigning unique review links to participants, and tracking results through a live leaderboard. This enables G2 customers to turn review generation into a repeatable motion rather than a one-time effort.
- Guided Review Experience: A redesigned, step-by-step review flow with real-time writing suggestions makes it easier for customers to submit higher-quality feedback.
- Review Optimizer: Available in my.G2, Review Optimizer identifies the next best review action to improve review volume, visibility, and performance based on real-time competitive signals.
As companies move beyond evaluating AI tools to building AI-powered operations, AI Blueprints extends G2’s peer validation model to help teams become more effective at implementing the AI tools they evaluate on G2.
G2 AI Blueprints are community-driven to include over 500 peer-submitted AI skills and workflows from real practitioners, not vendors. They cover the strategy, process, tools, and business impact behind real AI implementations across a range of use cases. And every Blueprint includes the option to save the corresponding skill or use a simple “Install” prompt to bring the workflow directly into an existing environment.
“Through MCP integrations, expanded Buyer Intent data, and AI Blueprints, teams can uncover buyer demand, understand it more completely, and take action faster,” said Zheng.
