| Battle-card refresh cadence | Hand-curated; staleness depends on PMM bandwidth | Continuous via live signal graph + on-demand re-assembly |
| Competitor coverage | Formal cards for the named-competitor list a PMM team can maintain by hand | 252K+ products typed in the graph; coverage extends beyond the named-competitor list |
| Source of competitor data | Analyst input + manual web research + customer-uploaded docs | 1,000+ live sources auto-ingested: G2, TrustRadius, GetApp, Capterra, SEC, Crunchbase, vendor changelogs, press, hiring |
| AE deal-stage query | Search the battle-card 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 an entity type in the same graph; patterns surface in the same workspace |
| AI substrate | Vector search over the document library + LLM summarization | GraphRAG over typed knowledge graph · Microsoft Research (arXiv:2404.16130) shows substantial improvements over vector RAG on multi-hop sensemaking |
| Annual contract value | $50K-$100K typical | From $50K · and replaces RFX + Product Ops tools at the same time |