RFPlaybook is a verticalized RFP knowledge engine for mid-market B2B vendors that lose hours hunting past answers across SharePoint, Notion, and email. It targets solutions consultants, proposal managers, and AEs in companies with 50–500 employees selling complex SaaS. Instead of generic “AI writing,” it builds a validated answer library from won/lost RFPs, legal/InfoSec approvals, and product docs, then ranks suggested answers by historical win-rate, segment, and deal size. - Surfaces 3–5 best-fit answers per question with explainable scoring (why this answer now) rather than black-box text. - Auto-detects gaps and pings content owners for updates, keeping the library fresh without manual curation. - Integrates with Salesforce/HubSpot to connect RFP content used to eventual win/loss outcomes, creating a defensible performance dataset moat. - Starts as a Chrome/Word/Excel add-in, so teams keep their current tools but get a context-aware, outcome-optimized answer recommender inside them.