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G2 Introduces Tools to Enhance Trust in AI-Driven Buying

G2 releases new capabilities including the Model Context Protocol to improve AI search visibility and buyer insights for MarTech software companies.

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G2 Expands Tools for AI-Driven Buying Decisions

G2 has released new product capabilities to help MarTech software companies build trust in the era of AI-driven buying, including tools like the Model Context Protocol (MCP) powered by Claude, according to Demand Gen Report. These features aim to enhance AI-driven buying with trusted data signals, as B2B buyers increasingly rely on AI search for software evaluation. G2 strengthens verified buyer signals and structures content for AI engines to increase vendors' AI search visibility while providing buyers with credible insights.

New Features for Richer Buyer Content

G2 is introducing ways to capture richer insights from real users, such as structured category FAQs that offer authoritative answers across key software categories to help buyers understand common product questions and make information easier for AI systems to process. Additionally, guided discussion prompts encourage deeper discussions around real use cases, implementation experiences, and product trade-offs to surface authentic context about software performance in real environments. A focused feature list improves the review experience by using signals to identify how buyers describe product capabilities and convert those into structured feature comparisons, according to company officials.

Identity Verification and AI Integration

G2 has expanded its partnership with LinkedIn by integrating the Verified on LinkedIn feature into its review moderation workflow, displaying a reviewer’s verified identity, employer, or education to confirm feedback from real professionals. The company launched a new architecture that connects its market intelligence directly to AI workflows, starting with Anthropic’s Claude, allowing AI search platforms to reference verified reviews, research behavior, and competitive insights from the G2 marketplace. This setup enables users to identify accounts researching competitors, understand common product strengths, and detect early signs of customer churn, as detailed in the Demand Gen Report.

Expanded Market Intelligence Capabilities

G2 introduced expanded market intelligence features, including a new Competitive Pulse view that combines CRM opportunity data with buyer intent signals to highlight at-risk deals and rising competitors. The platform also added answer engine optimization analytics to measure engagement from AI-driven searches, helping companies track how AI influences software evaluation. These tools give go-to-market teams actionable buyer signals earlier in the journey, allowing vendors to shift from generating visibility to using trusted buyer evidence for discovery, competitive advantage, and growth, according to Demand Gen Report.

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