B2B data products in the AI era
Data Systems for Agentic GTM
How AI Agents Discover Markets, Resolve Companies, Detect Buying Signals, and Drive Revenue Action.
A practical guide for GTM professionals, data leaders, and product teams that need to understand who exists, who fits, why now, and how external market intelligence should map into commercial systems.
The operating questions
Four questions that should not collapse into one score.
Later stages cannot repair a company that never entered the candidate universe.
Who exists?
Build a broad candidate universe.
Who fits?
Apply evidence-based membership rules.
Why now?
Separate durable fit from current change.
Who should we contact?
Map current people to the right role.
Advance chapter preview
Chapter 1: The Market Is Not a List
Why a clean CRM segment can still miss the market, and how discovery, fit, identity, evidence, and timing work together.
- + Discovery is not enrichment
- + Fit is a conclusion, not a field
- + Durable fit is not why now
- + Identity has several commercial objects
Inside the full book
The data systems behind agentic revenue action.
- 01Market discovery and source systems
- 02Company, location, person, and relationship identity
- 03Fit, buying signals, and contact selection
- 04Search, graphs, agents, and data quality
- 05Building and operating commercial data products
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