G2 has introduced integrations for six platforms and launched a set of sales and marketing tools built around buyer intent data. The rollout also includes a beta product, Intent Studio, and a new Activity Feed.
The updates focus on bringing G2 data into third-party software used by go-to-market teams. The six integrations cover ChatGPT, Claude, HubSpot, Gong, Profound and AirOps, allowing users to query buyer intent signals and customer reviews without switching between systems.
More than 350 customers and more than 100 weekly active users are already using G2's MCP integrations. Customers can also use them to build agents within those platforms to automate internal processes.
Alongside the application integrations, G2 is adding data connectors for Snowflake, BigQuery and Databricks. This gives customers a way to move G2 data into existing analytics environments and combine it with information from customer relationship management systems and product usage tools.
Buyer intent
A second part of the launch focuses on broader access to buyer intent data and new tools to act on it. G2's buyer intent coverage now extends across Capterra, GetApp and Software Advice, potentially giving customers up to twice as many buyer signals.
Intent Studio, now in beta, lets teams build and target audiences inside G2 using buyer intent and engagement data. The new Activity Feed shows the last 10 signals for each account in line-item detail, including category research, competitor comparisons and review interactions.
These additions are intended to help sales and marketing teams tailor outreach based on specific account activity. Instead of treating an account as broadly active, users can see its recent actions and respond with more targeted messages.
Reviews and visibility
G2 has also released three review-focused tools within my.G2: Review Rally, Guided Review Experience and Review Optimizer.
Review Rally is designed to run review campaigns through contests, unique review links and a live leaderboard. Guided Review Experience is a revised review flow with writing suggestions during submission, while Review Optimizer identifies the next review action using real-time competitive signals.
G2 links those features to the growing role of reviews in AI-driven software discovery. As buyers increasingly begin research in AI tools, review volume and quality have become more closely tied to how software vendors appear in generated answers and product recommendations.
AI blueprints
Another part of the launch is AI Blueprints, a library of more than 500 peer-submitted AI skills and workflows. G2 says the product is intended to help teams move from evaluating AI software to using it in day-to-day work.
Each blueprint includes information on strategy, process, tools and business impact. Users can also save a corresponding skill or use an install prompt to bring the task into an existing environment.
The emphasis on peer-submitted material reflects G2's wider model of relying on user-generated reviews and practitioner input. Here, the company is applying that approach to workflow design and AI implementation rather than product evaluation alone.
The broader commercial logic behind the launch is the changing way business software is researched and shortlisted. G2 argues that buyers are now identifying vendors inside AI tools before many sales teams realise they are in the market, making direct access to trusted intent and review data more important within the software commercial teams already use.
That has implications for software vendors trying to improve visibility and for revenue teams seeking earlier signals of demand. By placing intent data, review content and account activity into chatbots, sales software and analytics tools, G2 is trying to make its data more central to those workflows.
The new products are intended to help users track buyer behaviour, manage customer voice and apply peer-tested AI workflows from the same ecosystem. The latest additions are designed to bring trusted buyer behaviour data directly into the AI agents, CRMs and analytics environments that go-to-market teams use every day.