Canvases, scorecards, calculators, and prompts for operating AI GTM.
Key takeaways
This chapter bundles fill-in templates for AI GTM: ICP canvas and scoring rubric, use-case matrix, priority calculator, POC scorecard and mutual action plan, weekly review, and an agent prompt skeleton.
The priority calculator weights revenue impact 0.30, data readiness 0.20, adoption fit 0.20, risk control 0.15, and learning speed 0.15; treat 4.0+ as first-pilot candidates, 3.3 to 3.9 as data cleanup, and 3.2 or lower as hold.
The ICP scoring rubric maps a 1 to 5 fit/intent/readiness score to concrete routing, from immediate AE action at 5 down to exclusion at 1.
The use-case matrix forces each idea to state its GTM bottleneck, required data, autonomy level (L2 recommender vs L3 draft), risk, and a single success metric before piloting.
Example tables are synthetic and should be treated as structure, not performance claims; fill the blank template first, then compare with the example.
How to use these
Fill the blank template first, then compare it with the example. The examples are synthetic and
should not be treated as performance claims.
Role: B2B SaaS GTM analystContext:- Product:- ICP:- Current GTM bottleneck:- Available data:- Approval constraints:Task:1. Summarize the account or segment.2. Identify the strongest buying or risk signals.3. Recommend the next-best action.4. Show source signals and assumptions.5. Mark what requires human approval.