PYRAMYD vs G2
G2 is the trust layer for reviews. PYRAMYD is the trust layer for the graph.
Both serve SaaS intelligence buyers. G2 indexes reviews and runs a marketing-attribution motion; PYRAMYD operates the typed product graph underneath. We ingest G2 as one of 1,000+ signal sources · we don't compete with their review corpus, we compose it.
Side-by-side
What each platform is built for.
G2 just consolidated Capterra + Software Advice + GetApp (Gartner divestiture, January 2026). They are the dominant review trust layer. PYRAMYD operates a different substrate · the typed graph behind the reviews.
| Dimension | G2 | PYRAMYD |
|---|---|---|
| Core asset | Aggregated SaaS reviews and category badges. Now consolidated with Capterra, Software Advice, and GetApp (acquired from Gartner, Jan 2026). | Typed product graph · 90 universal node types, 2,539 categories, 2.4M+ reviews ingested as edges (not the primary asset). |
| Data shape | Review documents + category badges + buyer-intent signals · structured per-vendor, not per-relationship. | Graph of vendors, products, categories, features, capabilities, signals, jobs, industries, countries · all connected by FKs and traversable. |
| Coverage | ~250K+ products (G2 + Capterra/SoftwareAdvice/GetApp consolidated). Strongest in mid-market and SMB SaaS. | 249K+ enterprise software products. Strongest in B2B / enterprise tier where typed relationships and provenance matter. |
| AI surface | Monty AI assistant + Monty for Data Solutions · ranked review summaries, badge explainability. | APEX · 20 specialist agents over the typed graph, MCP-native into Claude / ChatGPT / Cursor / Windsurf / VS Code. |
| AI Search positioning | Per their 2026 AI Search Insight Report: review-site citations are the #1 trust signal in AI answers. G2 positions as 'the trust layer for AI search.' | When AI answers a SaaS question, we provide the structured substrate underneath: typed entities, FK relationships, multi-hop traversal · not just review citations. |
| Workflow modules | Buyer Intent · Marketing Solutions · G2 Track. Mostly read-only research + marketing-attribution. | Studio (9-tab workspace: Dashboards · Canvases · Notebooks · Sheets · Documents · Slides · Schemas · Agents · Models — Notebooks on real Jupyter kernels, Models on H2O.ai, Agents on a PYRAMYD-built visual builder) · operator workflows for CI, RFX, sales enablement, product ops. |
| Ingestion of the other | PYRAMYD ingests G2 reviews as one of 1,000+ signal sources. We are downstream of G2 on reviews. | G2 doesn't ingest from PYRAMYD. We are upstream of G2 on graph structure and APEX retrieval. |
| Pricing model | Marketing-led pricing · vendors pay for category presence, badges, intent data. Per-seat for some products. | Free Foundation, then five hubs from $150/seat/mo. No vendor-pay-to-rank model · the substrate is independent of marketing dollars. |
| Provenance / Article 50 | Review-level attribution to reviewer profile · suitable for review use, less suitable for AI-derived facts under Article 50. | Per-claim citation chain (source URL, retrieval timestamp, model, prompt hash, quality, confidence) · Article 50 ready by construction. |
When to pick each
They sit at different layers.
Pick G2 when
- Your team needs aggregated user reviews and category badges for SaaS evaluation.
- Marketing wants to track buyer-intent signals on category and competitor pages.
- You're running a SaaS marketing motion that benefits from review velocity and G2 badges as social proof.
- Your primary use case is research-on-vendors, not relationship-traversal across the market.
Pick PYRAMYD when
- You need graph traversal · 'which vendors in category X are also selling into industry Y with feature Z?'
- Operators (CI, RFX, sales enablement, product ops) need a workspace, not a research portal.
- Procurement is asking Article 50 provenance questions you need a clean answer to.
- You want APEX inside Claude / ChatGPT / Cursor with MCP, not a chatbot inside a marketing portal.
Bottom line
G2 is the trust layer for what reviewers said. PYRAMYD is the trust layer for what the graph knows · and the workspace operators run on top.
They're different shapes of substrate. Most enterprise teams use G2 for review research and PYRAMYD for operator workflows · we ingest G2 reviews as one of 1,000+ signal sources, never competing with the review corpus they own.
See what graph + workspace looks like.
30 minutes. We'll show APEX answering a multi-hop competitive question, the citation chain behind the answer, and the Studio workspace where the operator finishes the work.