Demo Customizer

Sales Engineers spend 2-4 hours per deal manually customizing demos, researching prospects, and pulling relevant use cases. Generic demos lead to prospect disengagement and lost deals because buyers don't see how the product fits their specific world.

Step 1: Agent pulls prospect's recent G2 activity (browsed categories, viewed products, intent signals from past 60 days) combined with firmographic context. Step 2: Agent maps product capabilities to prospect's specific context and selects 3-4 most relevant product moments. Step 3: Agent generates structured demo script with personalized opening referencing prospect's research activity, narrative tying demo moments to buyer priorities, embedded discovery questions at natural transitions, and close anchored to intent signals. Step 4: Agent generates supporting assets including suggested screenshots, competitive differentiation points, and post-demo follow-up email template.

Demo prep time reduced from 2-4 hours to under 20 minutes. Demos feel consultative rather than canned with measurable improvement in prospect engagement. SEs report higher confidence with personalized narratives. Reduces risk of demoing irrelevant features.

The first version attempted to surface all possible customizations, generating 12+ talking points, 6+ intent signals, and suggesting a complete demo flow restructure. Sales Engineers found this overwhelming and reverted to manual prep. The solution was to enforce strict output constraints: limit to the top 3 intent signals, select exactly 3-4 product moments, and produce a script that fits on a single screen without scrolling. This forced prioritization made the output immediately actionable.

A critical operational lesson: G2 MCP intent data is only as reliable as the account match accuracy. If a prospect's domain doesn't resolve correctly in the system, the intent signals become unreliable and the entire customization fails. Always sanity-check the account match before running the full workflow to avoid wasted effort and poor-quality personalization on live deals.

Requires successful G2 MCP integration to pull prospect research activity and intent signals. Dependent on accurate firmographic data and product capability mapping. Total output must be ready in under 20 minutes from initial input.