Your GTM doesn't have a content problem.
It has a truth problem.
Assay continuously ingests commercial claims from every system you already use, lets GTM leaders manually iterate and govern messaging, scores facts for confidence, and cascades every change across the graph. So every AI tool, every proposal, and every rep draws from the same verified truth.
Powering GTM Infrastructure At
A live map of your commercial reality.
Integrations stream facts in. PMMs manually govern the claims. The mesh scores confidence in real-time, instantly connecting every price and proof point.
How facts stay honest.
This isn't just a structured knowledge base; it's self-auditing. Facts carry live confidence scores, and they have strict lifespans. As sources drift, your graph flags them before they reach a customer.
Confidence Scoring
Every claim is scored based on source quality, recency, and cross-source corroboration.
Expiration & Staleness
Competitive claims auto-expire after 90 days. Product features automatically flag when engineering marks a feature deprecated.
Competitor X lacks native Snowflake ingestion.
SOURCES (3)
- Battlecard_V2.pdf VERIFIED
- competitor-x.com/pricing VERIFIED
- competitor-x.com/releases SCANNING...
HEALTH
STABLE
EXPIRES
12 DAYS
When one fact changes, the graph rethinks itself.
Claims are connected. The cascade happens entirely within the graph. When pricing changes, the engine cascades that change, re-scoring dependencies, flagging stale components, and preventing outdated quotes from reaching a customer.
One graph. Every tool. Every human.
Every AI agent, every generative tool, every rep-facing interface in your stack can query the truth graph directly. One source of truth. No retraining, no re-onboarding, no context drift. When the graph updates, every consumer stays current automatically.
Not a Wiki. Not RAG. Not a CMS.
| Capability | Wiki / Guru | Enablement CMS | RAG / LLMs | Assay Truth Graph |
|---|---|---|---|---|
| Unit of Storage | Documents | Static PDF/Decks | Text chunks (Lost context) | Structured Claim Nodes |
| How it Stays Current | A human remembers to update it | Marketing uploads new V2 | Requires pipeline re-syncs | Auto-syncs from source systems |
| Source of Trust | None (Hope) | Approval chains | None (Hallucinations) | Live Confidence Scoring |
| What happens on change? | Everything else stays broken | Old versions linger on desktops | Silently hallucinates conflict | Cascade flags all dependencies |
"We used to spend hours cross-referencing Salesforce, docs, and old battlecards. Now, our AI agents just query Assay. It's the only way we trust LLMs in front of customers."
Ready to govern your truth?
See a sample Truth Graph in 30 mins eastFrequently Asked
How long does it take to build my graph? expand_more
Unlike a CMS that requires manual data entry, the Truth Graph builds itself. You connect 2-3 integrations (e.g. Gong, Salesforce, Notion) and the initial extraction finishes in under 2 hours. Your PMM team can immediately begin auditing, merging, and iterating on the live nodes.
What happens when two sources contradict each other? expand_more
Assay flags the node instantly. The Confidence Score drops, the node status changes to STALE, and an alert is sent to your RevOps or Marketing team for immediate manual review and arbitration.
How does this help with EU AI Act compliance? expand_more
The EU AI Act and similar emerging global regulations mandate strict oversight over AI-generated outputs, particularly regarding transparency and hallucination prevention in commercial settings. Assay builds a deterministically verifiable ground truth layer. By ensuring your AI SDRs and Chatbots only retrieve explicitly approved Claim Nodes, you drastically mitigate the legal and financial risks of non-compliant model hallucinations.
Who owns the graph? expand_more
Typically Product Marketing, Revenue Operations, or Enablement. Because it auto-updates and integrates with your toolstack natively, it shifts their workflow from continuous manual maintenance to high-leverage strategic governance.