Is your GTM modelready for AI?
In under 8 minutes, see where AI is exposing your GTM model.
16 questions. 3 modules. Immediate public readout.
Discovery is shifting. ROI pressure is rising.
Across Bain, Gartner, and McKinsey signals, the pattern is consistent: buyer discovery is changing, B2B buying is becoming more self-directed, and leadership is under more pressure to prove where growth and AI investment actually create value.
AI summaries / Search are reducing click-through in funnels.
Buyers prefer a fully digital self-service journey.
Workflow redesign has the biggest effect on AI-related EBIT impact.
Turn GTM friction into growth.
I help B2B SaaS executives align their strategy, demand, and operating models to build a predictable growth engine—solving the complex enterprise scaling issues that usually show up first when growth stops compounding.
GTM Strategy & Measurement Architecture
Checks strategic focus, ICP clarity, positioning strength, ROI proof, and data trust.
- Strategic priorities, ICP, and positioning
- Budget allocation and investment focus
- Measurement architecture and ROI proof
Programmatic Demand & Base Growth Engines
Checks AI discoverability, demand generation, ABM coordination, and customer-base growth as one commercial engine.
- AI discoverability and demand capture
- ABM and high-value account orchestration
- Expansion, retention, and base-growth systems
Operating Model Design & Tech Stack Optimization
Checks revenue-team alignment, workflow automation, stack design, governance, and AI cost discipline.
- Revenue operating model and team alignment
- Workflow automation and AI enablement
- Stack simplification, governance, and data flow
Strategic lens.Operator depth.
I build GTM strategies from live performance data, cross-functional execution, and real enterprise scaling experience. The focus is predictable KPI improvement—especially attributed revenue, MROI, and CAC—delivered on the ground at JetBrains, Google, and Vodafone, including selection into Google’s top 3% global talent pool.
Next-gen B2B Marketing Architecture
Built a modern, AI-native B2B marketing engine with scalable demand gen, advanced ABM programs, and enterprise measurement frameworks developed using Gartner-standard playbooks.
Growth from #5 to #3 Globally
Drove market share through focused GTM strategy, operating model optimization, and industry-leading ABM. Recognized as top 3% talent.
Enterprise Proposition Scaling
Architected and built a disruptive new fixed-TV offering and business case from the ground up, seamlessly linking proposition logic to global commercialization.
Start with the diagnostic.
The homepage shows how AI is changing buyer discovery, demand pressure, and ROI expectations. The assessment shows where your GTM model is actually exposed.
Source context
The assessment benchmark is directional and informed by external market signals and model logic. Open the methodology page for the current benchmark framing and source notes.
Assess your GTM readinessfor AI
Answer 16 questions. See the GTM module most likely to constrain growth.
Three modules. One directional readout.
The assessment checks strategy, demand, and operating model signals before recommending the next step.
How the model works
This prototype does not measure AI enthusiasm. It measures whether a B2B marketing organization can turn AI-era change into repeatable commercial performance.
What gets measured
- 3 GTM modules with 16 explicit A-D questions
- Module-level scoring for strategy, demand growth, and operating-model readiness
- AI discoverability, ABM, customer-base growth, governance, and ROI-proof readiness
- Normalized module scoring, guardrail logic, and module-specific CTA triggers
How scores stay honest
- Guardrail rules prevent weak measurement or governance from being mislabeled as top-tier maturity.
- Priority logic reflects structural blockers, not just the lowest raw score.
- The first-step intake only asks for context that materially affects the readout.
How to read the benchmark
- Current benchmark views are directional, not fully normed.
- The model reflects external market signals, practical GTM patterns, and the logic behind the current assessment design.
- Over time, proprietary completions and consult debriefs should make the benchmark sharper.
Two inputs, then the assessment starts.
Stage and objective calibrate the benchmark and priority logic.
Result headline
Some parts of the GTM model are moving with discipline, but maturity is still uneven across the core growth levers.
Pressure-test the signal before changing the GTM system
This free readout identifies the likely exposure area. The paid work starts when we validate why it is happening and decide what to change first.
Module scores
Directional benchmark
Your score and directional benchmark are shown in the same pattern below.
Top exposure signals
What may be blocked
Choose your follow-up
Choose the support your situation needs
30-minute GTM pressure-test
Challenge an assessment signal, assumption or GTM decision directly with Frank Smidt, drawing on senior B2B GTM leadership experience.
- Test the assessment signal against your commercial context
- Separate the visible symptom from the likely root cause
- Identify the first question, decision or action to take forward
- Receive a personalized follow-up handout with module-specific insights and recommended next steps
Best when the problem is visible, but the interpretation or first move is uncertain.
€150 excl. VAT
Interim GTM & Marketing Leadership
Temporary senior leadership for European B2B tech scale-ups facing a leadership gap or material GTM change.
- Embedded leadership within the existing executive and marketing team
- A clear mandate and 30/60/90-day plan
- Explicit priorities, decisions, owners and operating rhythm
- Cross-functional progress across marketing, sales, product, data and operations
- Structured handover to an internal owner or permanent successor
Best when the mandate is clear, but senior leadership capacity is unavailable.
From €1,400 per day, excl. VAT · minimum 2 days/week
Need to review the benchmark framing first? Read the methodology notes.