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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.
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.
Strategy & positioning
Checks GTM focus, positioning clarity, budget choices, and the strategic decisions that shape growth.
- GTM strategy and focus
- Positioning and messaging clarity
- Budget reallocation and investment choices
Demand & ABM
Checks discoverability, demand generation, buyer friction, ABM coordination, and lifecycle momentum.
- Demand generation and channel mix
- Buyer journey and conversion friction
- ABM and lifecycle marketing
ROI & operating model
Checks measurement quality, workflow design, AI enablement, and the operating decisions that improve commercial ROI.
- Measurement and ROI proof
- AI-enabled team and workflow design
- Martech and operating model decisions
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 GTMreadiness for AI
Answer 16 questions and get a fast directional read on where your GTM model is most exposed.
The model reads the GTM system, not just isolated symptoms.
It focuses on the pressure points that usually surface first when AI reshapes discovery, buying journeys, content economics, and ROI expectations.
Three modules covering strategy, demand engines, and operating-model optimization.
A score, priority stack, research-backed tips, and directional benchmark context.
Best if you want a fast diagnostic before deciding on a deeper consult.
Start before the gaps get expensive.
The public diagnostic gives you a fast read on where GTM pressure is most likely to compound first.
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.
Set the minimum context
Two quick inputs improve the readout. Then the assessment starts.
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 diagnosis before changing budget, team structure, or tooling.
Interim support is best when the diagnosis already points to a clear execution gap. The 30-minute consult is better when you want to pressure-test the diagnosis first.
Module scores
Directional benchmark
Your score and directional benchmark are shown in the same pattern below.
Priority modules
Risk flags
First 90 days
Research-backed tips
Go deeper
Choose the right next step
The digital assessment stays free. For the first 10 consults, the 30-minute session is pay what you want in exchange for a short customer review. Interim support remains based on request.
30-minute consult
Pay what you want in exchange for a short customer review.
- Pressure-test the score against commercial reality
- Identify the real bottleneck behind the GTM diagnosis
- Refine the first 90-day move before you commit more budget
- Best for teams that want a sharp decision conversation first
Interim support
- Best when the diagnosis already points to a clear execution gap
- Useful for GTM operating-model, ABM, demand, or measurement rebuilds
- Structured around faster implementation and cross-functional alignment
Need to review the benchmark framing first? Read the methodology notes.