| Battlecard refresh cadence | Collects intel on the competitors you track; your team curates the cards (klue.com) | Rebuilt on demand from the graph |
| Competitor coverage | Formal cards for the named-competitor list a PMM team can maintain by hand | 250K+ products typed in the graph; coverage extends beyond the named-competitor list |
| Source of competitor data | Analyst input + manual web research + customer-uploaded docs | A catalog of 2,000+ sources: G2, TrustRadius, GetApp, Capterra, SEC, Crunchbase, vendor changelogs, press, hiring |
| AE deal-stage query | Search the battlecard library for the closest pre-written content | Ask APEX: "In this deal vs Competitor B in Inventory Management at Acme Corp scale, what do I need to know?" · cited multi-hop answer in seconds |
| Win/loss feedback loop | Separate win/loss tool, manual entry, separate analytics layer | Win/loss is a node type in the same graph; patterns surface in the same workspace |
| AI substrate | Vector search over the document library + LLM summarization | Answers drawn from a typed graph of the market; Microsoft Research's GraphRAG paper (arXiv:2404.16130) found graph-built answers more comprehensive on whole-corpus questions |
| Annual contract value | Not published. Vendr's median buyer pays about $30,000 a year ($16,000 to $60,000, 106 purchases; vendr.com, checked 7 Oct 2026) | A free Workspace to start; paid plans priced per seat, with live prices on the pricing page |