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Is your GTM model ready for AI?
Independent GTM advisory for Series B-D B2B SaaS teams navigating AI disruption, ROI pressure, and cross-functional growth complexity.
16 questions. 3 modules. Immediate directional 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.
Three GTM modules that shape scalable growth.
I help Series B-D B2B SaaS leadership teams strengthen the strategic, demand, and operating layers that determine whether growth compounds efficiently or starts leaking value.
GTM Strategy & Measurement Architecture
Checks ICP clarity, investment focus, positioning strength, ROI proof, and data trust across the GTM model.
- ICP, segmentation, and positioning clarity
- 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
Built for European complexity.
Scaling from strong regional hubs into DACH, the UK, or broader European markets introduces commercial friction that many generic scaling playbooks underestimate.
Buyer behavior, procurement expectations, market maturity, and GTM execution patterns vary significantly across Europe. What works in one market often breaks when copied directly into another.
I help B2B SaaS leadership teams design modular GTM systems that balance centralized efficiency with localized execution, stronger RevOps discipline, and market sequencing built for European realities.
Strategic depth.Operator proximity.
I work with Series B-D B2B SaaS leadership teams that need more than abstract consulting and more than tactical channel management. The goal is to build GTM systems that are structurally sound, commercially measurable, and operationally usable.
Many consultancies stop at frameworks. Many execution partners improve isolated motions without fixing the underlying commercial architecture. I bridge that gap by combining strategic GTM design with operator-level execution depth.
That approach is shaped by building and scaling commercial systems inside companies like JetBrains, Google, and Vodafone, with a strong focus on attributed revenue, ROI discipline, and cross-functional operating performance.
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 the strategic context. The assessment shows where your GTM model is strongest, where it is exposed, and which module deserves attention first.
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 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.