GTM glossary
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The ten terms every B2B operator building in the AI era should own.
- 01Customer intelligenceCustomer intelligence is the structured, queryable layer of meaning a B2B company builds from every conversation, signal, and interaction it has with buyers and customers.
- 02Grounded AI contentGrounded AI content is AI-generated text anchored in proprietary source material with traceable citations back to the original evidence.
- 03Closed-loop content engineA closed-loop content engine is a system that uses customer signal to generate content and then feeds the resulting performance back into the next generation cycle.
- 04ICP-message fitICP-message fit is the degree to which a company's messaging matches the language, pains, and priorities of its ideal customer profile.
- 05Content velocityContent velocity is the rate at which a marketing team can ship grounded, defensible content from idea to publish.
- 06AI-native GTMAI-native GTM is a go-to-market operation built from the start to run with AI agents in the stack, as opposed to bolt-on AI layered onto a pre-AI process.
- 07PositioningPositioning is the strategic choice about who a product is for, what category it competes in, and why a specific buyer should pick it over the alternatives.
- 08Win/loss analysisWin/loss analysis is the practice of investigating closed deals (won, lost, no decision) to extract patterns that improve future deals.
- 09Context EngineeringContext engineering is the discipline of deciding what a language model should know at inference time, including the source data, structure, and ordering of its working memory.
- 10Citation GraphA citation graph is the structure that traces every claim in a generated output back to the specific source material it came from, creating a verifiable audit trail.
See customer intelligence in action.