Transform how your company grows.

Diagnose & Align · Phase 01

Mind Merge

Any successful engagement starts with shared understanding — not just of your product, but of where you are in your growth lifecycle and what winning looks like from where you sit. During this phase we'll get deep on your business, your product, and your market so we can agree on values, working style, and what we're actually trying to achieve together.

Working backward from where you want to be in three years, we'll identify the lead, user, and customer inputs necessary to get there within the product-solution fit, product-market fit, and scale stages of your growth lifecycle. Before any tactics, we run an initial AI-assisted scan of your competitive landscape and positioning so we walk into this conversation with context, not just questions.

What you'll get

• Clarity on the engagement scope and working model
• Minimum success criteria tied to your product lifecycle stage
• AI feasibility map — a shared leadership view of what AI can realistically do for your growth today
• A preliminary read on your biggest positioning and pipeline gaps

Diagnose · Phase 02

Problem Extraction / Market Audit

Review the problem you've identified, then dig deeper into it with real potential customers — not assumptions — to verify the opportunity before committing resources to a solution. This problem extraction can be a grind, but defining the weight and nuance of the problem now can save months of building the wrong thing.

AI-powered competitive analysis maps the problem space before we talk to prospects, so interviews are focused and the synthesis is faster. We're looking to confirm that the market feels the pain acutely enough to pay for a solution, and that your offering addresses it in a way competitors don't.

What you'll get

• Current-state brief — interview synthesis plus a pipeline-data read of where growth is stalling
• Problem and solution definitions validated with real market input
• Key risks and dependencies identified before you build against them
• Opportunity sizing — realistic market depth and capture range
• Value assessment — what the problem costs buyers versus what they'd pay to solve it

Diagnose & Align · Phase 03

Positioning / Targeting Audit

Most products lose deals not because of what they do, but because of how — or to whom — they describe it. This phase finds the angle that makes the right buyers move. We'll assess your relative position in the market, sharpen your unique selling proposition, and identify the specific segments and messaging that will generate the most traction.

This phase also includes a GEO/AEO audit — how your product appears (or doesn't) in AI-generated answers from ChatGPT, Perplexity, Gemini, and Claude. B2B buyers are increasingly starting their research in AI before they ever visit your website. Getting that positioning right is no longer optional.

The output of this phase directly informs the beachheads we'll test in Phase 4. Messaging that isn't grounded in buyer language and competitive positioning doesn't compound — it just spends.

What you'll get

• Value and pricing analysis — where you're leaving money on the table or pricing yourself out
• Persona definitions — the specific buyers, their triggers, and what they need to hear to move
• Messaging framework — tested language mapped to persona and buying stage
• Content/contact strategy — who to reach, how to reach them, and what to say
• Smird AI citation report — how AI search sees your category and where competitors are cited and you're not
• Ranked Gap Map — the leaks from Phases 02–03 ordered by dollar impact, feeding directly into the Blueprint

Engineer · Phase 04

Sales & Marketing Engine Development

Now that the Blueprint is set — clear ICP, sharp positioning, validated messaging, and an agreed AI strategy — we build the AI-native engines that run on it. This is where the updated strategy turns into scaled, differentiated growth across positioning, promotion, and channels. The work evolves based on where you are in the product growth lifecycle.

Across all stages, we'll review 25+ engines of growth and prioritize tests to bring in the right-fit leads for your product. The core principle: build, measure, and learn in parallel — so you're never waiting on one bet to pay off before you run the next one.

What you'll get

• A fractional CMO to oversee or run your marketing efforts
• Rank-ordered channels — the most optimal engines for your product, market, and stage
• Validated learning from parallel experiments using a hypothesis testing system to identify lowest CAC and highest LTV channels
• Leads, users, customers
• An AI-powered marketing stack that gives your team a compounding speed advantage

Compound · Phase 05

Business Model Benchmarking

We regularly review progress, benchmarking against your minimum success criteria. This isn't a status report — it's a working session. We'll look at your customer segments, positioning, messaging, pricing, and channel performance to assess what's working, what's leaking, and what to adjust to improve your path to predictable revenue over the next quarter.

The next experiment is always stated as a clear, testable hypothesis: "An outbound sequence targeting mid-market fintech buyers will produce 20 qualified conversations in 60 days." That discipline keeps the learning real and the investments defensible.

What you'll get

• Updated key learnings from the quarter's experiments and campaigns
• Constraint identification — what's blocking the next level of growth
• Revised goals for the following quarter
• The next experiment, stated as a specific hypothesis with a success threshold