A GTM context layer organizes approved company information so go-to-market AI workflows can use consistent product facts, positioning, evidence and policies.
It connects information to its meaning and permitted use: where a fact came from, who owns it, when it was reviewed and which workflows should receive it.
What information belongs in it?
Useful inputs include product capabilities, approved messaging, pricing rules, qualification criteria, customer evidence and constraints. The exact scope depends on the workflow and the information it is allowed to use.
How is it different from a CRM or knowledge base?
A CRM records business relationships and activity. A knowledge base stores information. A context layer helps select and govern information for a particular AI workflow. These systems can complement one another.
Example
When a product capability changes, its owner updates the approved fact and identifies the workflows that depend on it. Those workflows need a defined process for receiving and checking the change; consistency should not be assumed to happen automatically.
Where should I start?
Choose one workflow and document its required facts, sources, owners and review rules. Then test how changes reach that workflow.
Read how to maintain GTM context when company facts change for the operating process, or explore Salespeak's GTM Context Layer for the product.