G2 Launches Innovations To Help Software Vendors Establish Trust and Scale in the AI Answer Economy

AI has reshaped software discovery and how vendors earn buyer trust.

Buyers increasingly ask AI for recommendations and comparisons, and those systems only answer confidently when they can draw from credible, structured third-party signals. The quality of their results depends on the quality of the underlying data.

At G2, we're building new ways to strengthen buyer evidence, make it easier for AI to interpret, and help go-to-market (GTM) teams act on real market behavior. Our latest innovations are designed to help teams win with trust in the age of AI.

New content experiences help buyers find trusted answers

One of the biggest opportunities in AI-era software buying is making user feedback easier for both people and machines to understand.

Reviews have always been valuable, but unstructured text alone doesn't meet the needs of modern buyers, and AI systems have a difficult time extracting clean, comparable signals. To make buyer insight more actionable, we're introducing new content and review experiences that capture deeper context in formats that are easier to interpret.

• Structured category FAQs: Clear answers to the questions buyers ask most - designed to be fast for both human and AI systems
• Guided discussion prompts: Prompts that extract the details buyers actually need - from real use cases and implementation experiences to product trade-offs
• Focused feature list: An improved review experience that detects how buyers naturally describe product capabilities in reviews, then turns those insights into structured feature comparisons. This helps reduce manual effort for users while creating a more consistent way to compare products.

Together, these updates make authentic buyer feedback more useful in both human and AI-driven discovery.

Expanded review credibility with Verified on LinkedIn

In the answer economy, trust begins with identity. Buyers need to know the reviewer is real.

As synthetic, AI-generated content becomes more common, visible identity signals matter - not just for the buyers, but for the AI chatbots that increasingly shape shortlists.

That's why we've expanded our partnership with LinkedIn by integrating Verified on LinkedIndirectly into G2's review moderation workflow. Now, we can verify reviewer identity, employer, and education as part of the standard review process.

This change has already improved G2's review collection:

• 100,000+ G2 reviews from buyers verified on LinkedIn
• 40% reduction in review rejection rates
• 13-point increase in approval rates
• 25% improvement in moderation efficiency

These improvements help strengthen review credibility while making the moderation process more efficient. For buyers, that means more confidence in the feedback they read. For vendors, it means stronger trust signals attached to the voice of their customers.

"Trust in B2B buying starts with credibility. By displaying verifications from LinkedIn on G2, we can help ensure that every piece of feedback comes from real, credible people," said Adam Kahn, Senior Manager, Trust Team at LinkedIn. "As AI-generated content becomes more prevalent, visible verification signals matter more than ever. These verification signals help buyers make more confident decisions and support AI systems that rely on signals of authenticity."

MCP brings trusted G2 data into AI workflows

Many AI systems still rely heavily on generic web content or scraped information that isn't verified, current, or category-specific. Our new model context protocol (MCP) architecture changes that by creating a direct path for trusted G2 buyer intelligence inside AI workflows. We are excited that our first integration is with Claude, Anthropic's AI assistant.

G2's MCP allows AI search platforms and assistants to reference verified buyer reviews, research behavior, and competitive insights directly from the G2 marketplace. This will allow teams to ask better questions and get answers grounded in current buyer activity, such as:

• Which accounts are actively researching competitors
• Which product strengths buyers mention most often in reviews
• Where early churn risk may be emerging as customers evaluate alternatives

Connecting AI chatbots directly to G2's verified buyer signals helps organizations move faster and make decisions based on real market behavior rather than inferred or outdated data.

Expanded G2 Intelligence helps vendors act on real-time market and competitive insights

In a faster buying journey, you don't just need visibility - you need early signals that tell you what's changing and where to act.

That's why we also introduced new intelligence capabilities to help revenue teams spot risk, understand momentum, and act with more precision.

• Competitive Pulse: A unified view combining CRM opportunity data, buyer intent signals, and competitive research behavior to help teams identify where deals may be at risk and where competitors are gaining traction. It also includes Churn Threats, which surface when existing customers increase engagement with competitors on G2.
• AEO Traffic insights: New answer engine optimization(AEO) analytics to measure engagement coming from AI-generated answers and conversational search. This gives companies a more direct view into how those channels are influencing discovery and evaluation.
• Expanded Buyer Intentsignals:Enhanced intent visibility across the G2 marketplace gives teams a better understanding of where buyers are actively researching, comparing, and evaluating competing solutions.
• Spend and contract intelligence: Data derived from more than $100 billion in SaaS purchasing agreements that connects buyer research behavior with purchasing activity to reveal category momentum and vendor growth.

For investors and market analysts, features like AEO traffic and spend data add a new layer of visibility into software demand. These datasets help organizations move beyond quarterly snapshots and toward a more real-time understanding of buyer demand, competitive pressure, and market momentum.

Make trust your advantage with G2

The shift to AI-driven buying is accelerating, and trust will determine which signals matter most.

For buyers, stronger verification and structured content lead to more credible answers and faster decisions. For vendors, trusted buyer evidence is becoming a critical input for discovery and differentiation in AI search. And for GTM teams, connecting buyer intent, competitive behavior, and AI channel analytics enables earlier, more informed action.

This is the next phase of software buying. Trust is now both a technical requirement and a strategic advantage for best-of-breed brands.

To learn more, watch G2's on-demand quarterly innovation event, Winning with Trust in AEO.