Investor brief
The decision layer for small-company growth.
gtm.help turns a URL into a ranked, executable growth plan and an AI sidekick that runs it with you — for $24 a month instead of an agency retainer.
- $24/mo per workspace
- ~86% target gross margin
- Unlimited play library
Price per workspace
$24/mo
Yearly plan
$230 (−20%)
Gross margin target
~86%
Plays in library
Unlimited
Why we built this
Every founder we met was drowning in tactics and starved of sequence.
We kept watching capable teams stall — not because they lacked ideas, but because nobody could tell them which idea to run on Monday.
The moment
We ran growth for small companies for years. The same pattern every time: the plan lived in one person's head, the tactics lived in bookmarks, and the execution died in week two. An agency fixed it for £4k a month. Nothing fixed it for £20.
gtm.help is that £4k judgement, distilled into a structured library, ranked against your actual business, and paired with a sidekick that stays with you through the boring middle.
Why now
- Model costs per useful answer have fallen ~90% in two years, making per-workspace AI economics work at $24/month.
- Marketing headcount is the first budget cut — founders are doing GTM themselves for longer than ever.
- The volume of published tactics has exploded; the scarce resource is filtering, not information.
- Retrieval over a curated, structured play library beats a general model on trust, and it is defensible.
The gap
Four things the current market leaves on the floor.
Advice is abundant, sequencing is not
Founders can find a thousand tactics in an afternoon. Nobody tells them which three to run this week given their stage, budget, hours and appetite for risk.
Tools execute, they don't decide
The stack is full of things that send, schedule and publish. The decision layer above them is still a human who costs thousands a month.
Generic AI forgets you
A chat thread has no persistent model of your business, your competitors, your uploaded reports or what you already tried and abandoned.
Nothing closes the loop
Plans are made and never revisited. gtm.help tracks completion, ingests reports and re-ranks the plan against what actually moved.
The product
A URL in, a ranked week out — then a consultant who runs it with you.
Four moves, all of them live today. The loop is the product: read, rank, run, re-rank.
Read the business
Paste a URL and we crawl the site, pricing and positioning, infer the audience and stage, and assemble a competitor set — before the founder answers a single question.
Rank the plays
Every play in the library is scored against audience, stage, budget, hours available and appetite for risk. The output is an ordered ten, not a menu of two hundred.
Run it with a consultant
An AI growth consultant with retrieval over the library and memory of the workspace drafts the work, checks the numbers and answers questions in context of a specific task.
Close the loop
Completed tasks unlock the next play, uploaded analytics and reports are parsed into the workspace memory, and the plan re-ranks itself against what actually moved.
What's underneath
Play library
Structured schema — steps, prerequisites, cost bands, failure modes, metrics.
Retrieval
Vector search over the library plus per-workspace memory on every answer.
Ingestion
Site audits, competitor scans and multi-modal report parsing into structured facts.
Ranking
Fit scoring across audience, stage, budget, hours and risk, re-run on every change.
Unit economics
The unit works from the first paying workspace.
Low-cost organic channels carry the mix, so blended CAC stays under two months of revenue even before annual plans are counted.
Blended CAC
$41
Weighted across organic-heavy mix
Gross margin
~86%
AI cost per active workspace ≈ $3.20/mo
Payback
2.0 months
On $24 monthly, faster on annual
LTV / CAC
5.6×
At 46% month-12 logo retention
LTV vs CAC by channel ($)
Paid is capped deliberately — it is the only channel where payback drifts past 90 days.
Free
$0
One workspace, a ranked plan and capped consultant usage. The plan itself is the demo.
Growth
$24 / mo
Per business workspace. Unlimited plays, full consultant, report ingestion, weekly re-ranking.
Annual
$230 / yr
20% off and a longer commitment window — the main lever we pull against SMB churn.
Agency (planned)
TBC
Many client workspaces under one login, with benchmarks across the portfolio.
Market size
A $42bn category where the smallest buyers are the least served.
Sizing is bottom-up: SMBs and founder-led teams already paying for growth tooling or agency help, priced at our $24/month per-workspace ACV.
TAM / SAM / SOM ($bn)
Total, serviceable and obtainable market on a log-friendly bar view.
TAM
$42bn
Global SMB marketing software
SAM
$6.8bn
English-speaking SMBs & founders buying growth tooling
SOM
$0.24bn
Reachable in 3 years via content, communities and outbound
Forecast
Path to $178k MRR in 24 months.
Base case: self-serve only, no enterprise contracts, no paid acquisition beyond 5% of mix. Assumes 46% month-12 logo retention and 1.9 workspaces per paying account.
MRR ($)
Monthly recurring revenue, base case, months 1–24.
Paying workspaces
Workspace count is the unit of value — one business, one plan, one memory.
Retention cohort (%)
Logo retention by month. Plan completion is the strongest predictor of month-three survival.
Use of funds (%)
Allocation of a first raise across build, library, distribution and infrastructure.
Forecasts are management estimates, not guarantees. Assumptions available on request.
Where we are
The whole loop is built and open, free, today.
This is not a deck describing a product. Every capability below is running in production and usable in under a minute.
Built
Plan generation, ranked checklist, weekly board and unlock mechanic shipped end to end.
Built
AI consultant with retrieval, per-workspace memory, file uploads and site audits.
Built
Multi-workspace accounts, billing, admin console and a curated library of vetted plays.
Now
Free early access open. Acquisition running on the same plays we sell.
Next
Outcome benchmarks by industry, email digests, team seats, analytics and CRM integrations.
Team
Operators encoding their own judgement.
We are the customer. Every play in the library is one we have run, and the ones that stopped working get retired.
Founder — product & growth
Years running growth for small companies and agencies. The judgement encoded in the ranking model is the same judgement previously sold as a retainer.
Engineering
Full-stack build on a modern edge runtime with retrieval, ingestion pipelines and a structured play library maintained as a first-class asset.
Advisors
Operators from SMB SaaS and agency land who pressure-test the library, the pricing and the honesty of the plays we ship.
Go to market
We acquire customers using the plays we sell.
Every channel below is a play in the library. If it doesn't work for us, it doesn't stay in the product.
Projected signup mix (%)
Month-12 blended acquisition mix. Paid stays capped until a channel proves payback under 90 days.
Programmatic SEO
Thousands of tactic, tool-comparison and use-case pages generated from the same structured library that powers the product. Compounding, near-zero marginal cost.
Communities & mention monitoring
We monitor X, Reddit and private groups for people asking what to do next, and answer with a real plan. Highest-intent traffic we see.
Outbound
Targeted lists of recently funded or recently launched companies, personalised with a free audit of their own site.
Founder-led social & referrals
Building in public plus an in-product referral loop — share your plan, both sides get a workspace credit.
Competition
Where everyone else is better — and where they leave the door open.
An honest read of the landscape. We win on sequencing, memory and price, and we lose on human accountability.
Agencies & fractional CMOs
£2k–£10k / month
Better: Real humans who own delivery and bring judgement earned on other accounts.
Worse: Priced out of reach for pre-seed and bootstrapped teams, slow to start, and the knowledge leaves when the retainer ends.
ChatGPT / generic LLMs
£0–£20 / month
Better: Free-form, infinitely flexible, already in everyone's workflow.
Worse: No memory of your business, no ranked plan, no library of vetted plays, no tracking of what you actually shipped. Advice is generic and unaccountable.
Growth courses & play libraries
£100–£1k one-off
Better: Deep, well-written tactics from operators who have done it.
Worse: Static. Nothing is filtered to your stage, budget or risk appetite, and nobody helps you execute step two.
Marketing automation suites
£300–£3k / month
Better: Powerful execution rails once you know exactly what you're doing.
Worse: They answer 'how do I send it?' not 'what should I do next?'. Long setup, and empty until strategy exists.
AI marketing point tools
£20–£200 / month
Better: Sharp at one job — ad copy, SEO briefs, social scheduling.
Worse: Fragmented. The founder is still the integration layer, stitching six tools into something resembling a plan.
Defensibility & roadmap
What compounds, and what we build next.
What compounds
- A structured, curated play library with deep schema — steps, prerequisites, cost bands, failure modes, metrics — not scraped blog text.
- Per-business memory: site audits, competitor sets, uploaded reports and completed tasks compound into better ranking.
- Outcome data across workspaces: which plays actually get finished, by which stage and industry, feeding cross-business pattern matching.
- Distribution built with the product itself — every play we ship is one we run on ourselves first.
Roadmap
Now
Plan generation, sidekick chat, site audits, report ingestion, workspaces.
Next 6 months
Outcome benchmarks by industry, weekly digests over email, team seats, integrations with analytics and CRM.
12–24 months
Agentic execution of low-risk plays, an agency tier managing many client workspaces, and a paid data product on what works.
Risks
What could go wrong, and what we're doing about it.
A frontier model absorbs the category
Our answer is proprietary structure and outcome data — which plays get finished, by whom — rather than raw generation quality.
SMB churn is structurally high
We tie retention to plan completion and weekly re-ranking, and we sell yearly plans at a 20% discount to lengthen the commitment.
AI cost per active workspace
Per-user daily and monthly quotas are already enforced, and retrieval keeps prompts small. Target gross margin stays near 86%.
The ask
Raising to deepen the library and prove distribution.
A first round funds eighteen months: library depth, the integrations that make re-ranking automatic, and enough runway to prove payback under 90 days on more than one channel.
Stage
Pre-seed
Use
18 months of runway
Focus
Library depth & distribution
Structure
Open to SAFE or equity
Questions
The five we get asked every time.
01
Why won't a frontier model just do this?
General models generate advice; they don't hold a ranked, costed sequence against a specific business, remember what was shipped, or know which plays get finished by companies at that stage. Our asset is the structure and the outcome data, not the generation.
02
Is $24 a month too cheap to build a company on?
It is priced per business workspace, not per seat, and multi-business owners are common. At ~86% gross margin the unit works from the first customer, and the agency tier is the natural expansion path.
03
What happens if the library goes stale?
Plays carry metrics and failure modes, and completion data across workspaces tells us which ones stop working. Retiring a play is a normal operation, not a rewrite.
04
How defensible is the data?
Every completed task is a labelled outcome tied to a stage, industry and budget. That set compounds with usage and cannot be scraped from the open web.
05
What does the first cheque buy?
Depth in the library, the integrations that make re-ranking automatic, and enough distribution runway to prove payback under 90 days on more than one channel.
Get started
Want the full data room?
Metrics, cohort detail and the model behind these charts. Get in touch and we'll send it over.