{"version":"1.0","type":"card","id":"4177de7e-9660-4660-8c2b-e382a7f459ef","url":"https://stacklist.com/card/4177de7e-9660-4660-8c2b-e382a7f459ef","title":"How sellers and CX at Profound use Prophet","source_url":"https://thegtmengineer.substack.com/p/how-sellers-and-cx-at-profound-use","note":"This page discusses how Profound developed its revenue intelligence platform in-house in under two months, focusing on the limitations of traditional search and the upcoming always-on agent layer. It highlights the integration of various sales and customer experience tools to streamline processes and improve visibility into deals and accounts.","image":{"url":"https://ucarecdn.com/98d03676-e873-44bc-975b-09064cf456d0/","alt":"How sellers and CX at Profound use Prophet","width":1456,"height":975},"stack":{"id":"ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc","title":"GTM Tools","url":"https://stacklist.com/stack/ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc"},"created_at":"2026-07-07T23:27:13.665Z","updated_at":null,"aco":{"summary":"Profound's GTM Engineering team built Prophet, an in-house revenue intelligence platform that automates deal scoring, call mapping, and account health analysis to empower sellers and customer success teams. The platform leverages AI extraction and proprietary analytics to provide predictive insights that traditional semantic search tools cannot deliver.","tags":["gtm-strategy","revenue-intelligence","sales-enablement","ai-extraction","customer-success","internal-tools"],"key_entities":[{"name":"Profound","type":"organization","confidence":0.99},{"name":"Prophet","type":"technology","confidence":0.99},{"name":"Edgar Sze","type":"person","confidence":0.95},{"name":"Marco","type":"person","confidence":0.85},{"name":"Matt Suri","type":"person","confidence":0.9},{"name":"Ayush Sharma","type":"person","confidence":0.9},{"name":"Salesforce","type":"technology","confidence":0.95},{"name":"MEDDPICC","type":"concept","confidence":0.92},{"name":"semantic-search","type":"concept","confidence":0.9},{"name":"revenue-cycle-management","type":"concept","confidence":0.88}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-07-07T23:27:18.993Z"},"token_counts":{"approximate":2708,"cl100k":2258},"content_hash":"sha256:bab9262166e52dfcc7dd30d4070170476b74dcf1b2b288912974fb3f463240f2","acp_version":"0.2","body_available":true,"body_tokens":2708,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/4177de7e-9660-4660-8c2b-e382a7f459ef.json","html":"https://stacklist.com/card/4177de7e-9660-4660-8c2b-e382a7f459ef","md":"/api/public/card/4177de7e-9660-4660-8c2b-e382a7f459ef.md","stack_json":"/api/public/stack/ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc.json"}}