May 2026 Product Release: Agentic Prospecting, Engagement Intelligence & AI Insights

May continues RevSure’s vision as the system of intelligence for modern GTM teams by bringing AI insights closer to decision-making, enriching engagement intelligence, and expanding agentic execution across the revenue lifecycle. This release introduces engagement-based dimensions, buyer group engagement analysis, account-level meeting intelligence, embedded AI insights, and enhancements across marketing measurement, attribution, enrichment, and prospecting automation.

Agentic Updates

Prospecting Agent

RevSure’s new Prospecting Agent surfaces net-new prospects from external data sources and vendors, then layers in signal and intent data to identify accounts already showing buying behavior. It can trigger downstream plays such as routing, outreach, and CRM updates automatically, helping teams spend less time hunting and more time closing.

• Find the right prospects
• Act on real buying signals
• Automate the rest

Account Meeting Signals

RevSure now surfaces AI-generated signal cards for every account, providing an instant read on deal health across conversations. Teams can see sentiment, intent, buying-group coverage, open gaps, product interest, momentum, qualification, pain points, and objections without digging through meeting notes. For existing customers, upsell signals appear automatically when conversations indicate expansion opportunities such as seat growth, new products, or cross-department interest. Available on request as an add-on feature.

Apollo as an Account Enrichment Source

RevSure now supports Apollo as an account enrichment source, expanding the platform’s ability to enrich account and contact records with firmographic and contact intelligence. This integration adds account context and improves the completeness and reliability of GTM data.

To access: Config Center → Data Enrichment

Engagement-Based GTM Signals

RevSure introduces Engagement-Based Dimensions, enabling teams to analyze accounts, contacts, and buying behavior through richer engagement signals. These dimensions are built from buyer interactions across campaigns and activities, helping teams understand how engagement evolves throughout the customer journey.

Teams can analyze behavioral patterns that indicate buying intent, stakeholder activity, and engagement quality, including high-intent activities such as meetings, form submissions, and ad clicks in the last 30 days, as well as campaign responsiveness. Structured engagement dimensions support targeted segmentation, deeper funnel analysis, and stronger prioritization strategies.

To access: Config Center → Dimensions → Engagement-Based Dimensions

AI Insights in Demand Generation Effectiveness

RevSure brings AI Insights directly into core modules and widgets, enabling GTM teams to access contextual insights and recommendations alongside operational data. Within Demand Generation Effectiveness, users can view summarized insights, trends, and recommendations without opening a separate AI Summary experience. As teams adjust filters, dimensions, or metrics, RevSure indicates when insights may no longer reflect the latest selection and provides a way to refresh the analysis.

MMX Factor Grouping for Simplified Contribution Analysis

Factor Grouping in MMX lets teams organize large sets of factors into business categories such as Paid, Content, Marketing, and Baseline. Users can view aggregated insights through group-based visualizations, switch between grouped and individual factor views, and drill into the factors contributing within each group. This reduces noise in complex MMX outputs and makes contribution analysis easier to interpret.

To access: Marketing ROI & Attribution → Marketing Mix

Buyer Group Engagement in Account Prioritization

Buyer Group Engagement insights are now available directly within Account Prioritization. Teams can evaluate participation from champions, technical buyers, economic buyers, and influencers throughout the sales cycle, identify gaps in stakeholder coverage earlier, and focus on accounts with stronger engagement momentum.

To access: Modules → Account Prioritization

GA4 Metrics

RevSure brings GA4 metrics directly into Funnel Health Metrics and Pre & Post Analysis, enabling teams to evaluate website traffic quality, engagement trends, and campaign performance alongside funnel outcomes. Customers can analyze sessions, engaged sessions, views, visitors, and other metrics across geo-level dimensions to identify high-performing regions, optimize targeting, improve budget allocation, and connect engagement to funnel performance.

To access: Dashboards → Funnel Health Metrics

Trending Search Insights

RevSure brings Google Search Console query and page-level insights into a dedicated Trending Search Insights widget. Users can analyze branded, non-branded, or all search traffic, view trends over time, and identify the queries and pages driving organic visibility based on clicks or impressions. The widget surfaces clicks, impressions, CTR, and average position to support SEO optimization and search-driven pipeline growth.

Other Enhancements

Additional Metrics in Marketing Attribution Overview and Attribution Trends

Marketing Attribution Overview and Attribution Trends now include additional attribution metrics, providing deeper visibility into marketing’s influence on pipeline and revenue across campaigns, channels, engagement types, and conversion outcomes.

To access: Dashboard → Widgets → Marketing Attribution Overview / Attribution Trends

Re-Authorization Notifications for Data Source Authentication Failures

RevSure now alerts administrators when a connected data source requires re-authorization because of expired credentials or authentication failures. Teams can restore connections faster, minimize synchronization disruptions, and maintain reliable reporting and data freshness.

To access: Data Hub → Data Sources → Notifications

Upcoming Features

• Top Trending GSC Insights: Discover top-performing branded and non-branded search queries and pages, ranked by clicks or impressions, with trend visualizations powered by Google Search Console.
• SCIM User Provisioning: Automate user provisioning and de-provisioning through SCIM to manage access, roles, and user lifecycle workflows more securely and efficiently.
• Buyer Persona Context Layer: Add deeper persona-level context about stakeholder roles, influence, and engagement patterns across the buying committee for stronger account prioritization and GTM planning.