Why It Works
The Problem with Generic AI
Generic tools like ChatGPT can write, summarize, and sound confident, but they don't understand your GTM data. Here's why Attive is different.
No Context
They don't know your pipeline, your accounts, your metrics, or your process.
Just Guessing
Without real understanding of your GTM data, generic AI is just making educated guesses.
Attive is Different
Built to think like your team grounded in your data, your language, and your reality.
Built for GTM. Not for Everything.
At the heart of Attive sits a three-tier context system that gives AI what it's always been missing: real understanding.
GTM Graph
Your company's GTM brain
A knowledge graph fine-tuned for GTM data, connecting everything from CRM metrics to customer calls.
Focus on what matters: Filters out noise so AI sees only the data that counts
Built-in meaning: Relationships encoded directly, giving every piece of data context
The result: Sharper reasoning, more accurate answers, AI that finally gets it
Memories
Your company, in words
Human-written snippets that explain how your business really works: definitions, playbooks, methods, and context.
No need to re-explain every metric in in every prompt to build up context.
Attive understands you company lingo, so users can engage like with a teammate.
Agents
AI that acts like a teammate
Focused, intelligent assistants built on your GTM Graph. Each designed for a specific role or task.
Scoped context: Each agent focuses only on what matters for its job
Composable: Create new agents in minutes, no rebuild needed
Secure: Assign access by user or team
How It's Different
Side-by-side comparison: Attive GTM AI vs Generic AI
Attive GTM AI
Focus
Purpose-built for GTM. Knows sales, marketing, and CS.
Data Handling
Understands CRM metrics and call notes.
Integrations
Natively connects to CRM, call recording, product, and billing tools.
Context
Knows your accounts, stages, and metrics.
Data Control
Full control down to the field level.
Accuracy
Optimized for GTM data and workflows.
Actionability
Can trigger updates and workflows directly.
Outcome
Turns insights into action.
Generic AI (e.g. ChatGPT)
Focus
General-purpose. Knows a little about everything.
Data Handling
Struggles with structured or time-based data.
Integrations
Works through APIs but doesn't understand GTM schemas.
Context
Limited context per session. Forgets easily.
Data Control
Partial filtering, no GTM-specific governance.
Accuracy
Great generalist, poor GTM specialist.
Actionability
Offers suggestions — you do the rest.
Outcome
Stops at ideas.
The Result: AI That Actually Works
Attive understands your business, acts inside your systems, and scales how your team thinks.