§ TMG · GTM DATA DIAGNOSTIC

AI GTM Data Readiness.

12 questions. 3 minutes. See whether your GTM data is ready for AI, what is holding you back, and your quadrant placement.

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tmg.guru § TMG · SELF-ASSESSMENT

How ready is your GTM data for AI?

12 questions, about 3 minutes. Use a professional email. We don't accept personal email domains.

You'll get your quadrant placement and a short summary immediately.

§ 02 · WHAT IT MEASURES

Two dimensions. Twelve questions.

Six questions on how clean, complete, and connected your GTM data is, and six on how effectively that data runs your GTM operation.

Y-AXIS

Data Integrity

How clean, complete, and connected is your GTM data?

  • 01 Field completeness across key records
  • 02 Duplicate control with merge rules
  • 03 Object relationships and hierarchy
  • 04 Sync reliability across the stack
  • 05 Freshness, validation, and enrichment
  • 06 Clear data ownership and standards
X-AXIS

Business Utility

How effectively is your data being used for GTM operations?

  • 01 Segmentation precision by ICP criteria
  • 02 Lifecycle tracking with timestamps
  • 03 Automated routing and handoffs
  • 04 Dashboard and reporting trust
  • 05 Governance policies and audits
  • 06 Model-trainable data, ready today
§ 03 · THE MAP

Where you fit tells you what to fix first.

Business Utility runs left→right, Data Integrity bottom→top. Your scores place you in one quadrant, and point at your priority next steps.

Ready to Activate

Clean but not activated. The data quality is there. The operational usage is not.

High integrity · Low utility

AI-Ready

Trusted, actionable and aligned. Your foundation supports AI-driven workflows.

High integrity · High utility

Unreliable

Dirty, unused data. Foundation work comes before any AI investment.

Low integrity · Low utility

Mirage

Looks useful but unreliable. Automation on this foundation amplifies errors.

Low integrity · High utility
THE THESIS

Process first. AI second.

Most B2B SaaS companies want to deploy AI for pipeline generation, lead scoring, and forecasting. But their GTM data is fragmented, stale, and ungoverned. Without a clean foundation, AI becomes noise, not signal.

Before AI can accelerate GTM, your data foundation must be ready. This assessment tells you where your data stands, which dimension is the limiter, and what to fix first.

§ 04 · KNOW YOUR SCORE

3 minutes. Your quadrant and priority next steps.

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