Market research
Buyer pains, ICP notes, use cases, category signals, market language, buying triggers, and sales feedback synthesis.
what improves
You learn what the market reacts to, not what the roadmap says.
Bring the product, the sales calls, and the competitor noise. We turn it into positioning, messaging, and sales collateral your GTM team will actually use.
for funded GTM teams with a product in market, and for early founders building the first product marketing foundation.
product“a policy engine”sales“replaces three tools”support“the 2am pages stop”
The last tool your on-call team needs.
three teams → one position → every asset
The operating layer between what the product does, what the market cares about, and what sales needs to win the call.
Sales explains the product one way. Marketing explains it another. The website says something from two pivots ago. Competitors keep changing their claims, and the deck keeps collecting slides like a junk drawer with fonts.
We build the product marketing layer your GTM team keeps working around: market and competitor research, positioning, a message hierarchy, and the sales assets that come out of it.
Not a beautifully formatted strategy doc that everyone praises and then forgets. Assets your team opens during a live deal.
Research first, then positioning, then the assets that fall out of it. Most teams skip the research and improvise the competitive answer on a live call.
Buyer pains, ICP notes, use cases, category signals, market language, buying triggers, and sales feedback synthesis.
what improves
You learn what the market reacts to, not what the roadmap says.
Competitor claims, alternatives, public pricing signals, positioning patterns, comparison angles, and objection themes.
what improves
Sales answers competitive questions with clarity instead of improvising.
Battlecards, talk tracks, FAQ docs, competitive responses, persona notes, product explainers, and internal guidance.
what improves
Reusable assets for real conversations, not polished PDFs nobody opens.
Category framing, value proposition, point of view, differentiation, proof logic, and strategic message hierarchy.
what improves
The company knows what it should be known for and why buyers care.
Persona messages, product messages, use-case language, objections, CTA logic, and channel-specific angles.
what improves
Teams stop rewriting the company story for every new asset.
Sales decks, one-pagers, solution briefs, pitch narratives, discovery support, and follow-up assets, delivered as copy and structure with designer notes.
what improves
Sales gets materials that move buyers through the decision.
Launch narratives, campaign angles, landing page copy, email messaging, ad concepts, and content briefs.
what improves
Campaigns reflect the product story and the sales reality.
Product pages, solution pages, use-case sections, homepage modules, conversion copy, and designer notes.
what improves
The website explains the product clearly enough to earn the next click.
Research summaries, competitor claim tracking, asset QA, message variant generation, and enablement draft workflows.
what improves
The PMM system moves faster without handing over the steering wheel.
On design: we deliver collateral as copy, structure, and designer notes. If you want the finished visual asset, that runs through Website Development & Design.
On overlap: this works at the product and deal level. The company-level story every asset inherits, from positioning to voice to message architecture, is Brand & Messaging. Teams often start with one and add the other.
AI speeds up research, synthesis, draft variants, and message QA when the inputs are strong. It does not get to decide your positioning. Strategy and final copy stay human-led.
Public competitor material plus your sales calls, CRM notes, and win/loss context.
AI-assisted summaries of claims, objections, and recurring buyer language.
Competitor positioning monitored so comparison angles do not go stale.
A human decides the category frame, the differentiation, and the trade-offs.
One source of truth every downstream asset is written from.
Decks, pages, and campaigns checked against the approved message system.
Sales response and objection patterns fed back into the messaging.
Assets updated when the product, the market, or the competition moves.
what AI does here
Competitor claim monitoring, sales-note synthesis, battlecard and FAQ draft workflows, message variants, and QA checks across decks, pages, and campaigns.
what stays human
The category call, the differentiation, the trade-offs you are willing to make, and the sentence a buyer repeats back to their own team.
We review the product, website, decks, sales notes, customer language, competitor claims, campaign history, and internal assumptions.
gap map · asset inventory
We research the market, buyer pains, alternatives, competitor positions, and the category language shaping how buyers compare you.
buyer language · claim grid
We define the ICP, value proposition, category framing, differentiation, proof logic, objections, and core message hierarchy.
positioning · hierarchy
We turn the system into decks, one-pagers, battlecards, website copy, product pages, launch materials, and enablement content.
decks · battlecards · pages
We use sales response, campaign data, team feedback, and AI-assisted QA to keep the product marketing system current.
updates · QA · backlog
4-6 weeks
3-5 weeks
4-8 weeks
3-5 weeks
Retained
Book a time and we'll look at your current product story, sales materials, competitor pressure, and the assets your GTM team needs next.
Bring the product complexity, the sales feedback, the competitor noise, and the half-finished enablement backlog. We'll turn them into a system your team can use.
how it moves
no strategy deck nobody opens · just assets sales uses