the whole premise
Signal quality you can act on.
No purchased intent feeds. No proprietary score hidden in a black box. Every signal is real evidence you can check. It carries its source, its date, and the reason it fired. It is scored so you know which ones matter, and it arrives with the people to contact already attached. You never get handed a number you have to go investigate before you can use it.
pricing
Start with the signals. Add the messages when you want them.
Month to month. No long contracts, no seat licenses, no setup fee.
Signals, scoring & buying committees, delivered
$1,000/mo
No cap on volume. Every signal in your market, however many that turns out to be.
- Custom signals built for your exact market, at the company level and the person level
- Every signal scored, every account fit-scored
- Buying committee attached, verified titles and emails
- Enrichment included
- Delivered to Slack, Microsoft Teams, a sheet, or your CRM
- Signal MCP, read-only access to your signal database for your whole team
- Quarterly tuning call, where we retune the scoring and test new signal sources
Fractional GTM leader + the platform
$5,000/mo
A handful of clients at a time, on purpose.
- Everything in the feed, plus the copy desk
- Researched, per-account copy for email and LinkedIn messaging, offer matched to the evidence
- You choose who sends: your team sends approved copy from their own inboxes and LinkedIn accounts, or I run the sequences
- Email and LinkedIn sequenced together, so one account is never worked twice
- Committee sequencing, so one account reads as one conversation
- Never contacts anyone your team is already working
- A senior operator embedded with your team, in your channels
- Signal MCP and Context MCP, so your team can query the signals and your messaging library from the AI tools they already use
- Closed-loop learning: your edits become rules, replies become scoring
Build + Handoff
from $10k/90 days
For teams about to hire a GTM engineer.
- Built on your accounts and your infrastructure
- First plays run with your operator
- An AI operator seat your team drives in plain English
- Signal MCP + Context MCP deployed on your own infrastructure
- Documentation, guardrails, kill switches
- Exit self-sufficient, or keep the signal feed
Advertising
$1,500/channel /mo
Paid social and paid search. Add a channel any time.
- The same signal-matched segments become the targeting file
- Your ads only reach accounts showing evidence
- Built, run, and optimized on your behalf
- Ad spend stays yours, paid straight to the platforms
API and enrichment usage is billed separately, at cost. Ad spend is paid by you, directly to the ad platforms.
the stack
Three layers, and the last one feeds the first.
Most of this category sells you one of these and leaves the rest to you.
Signals
Custom sources for your market, company level and person level, each one scored against a rubric you tune. Every signal arrives with the buying committee attached.
with its people
The copy desk
The account is researched into a cited brief, one offer angle is matched to the evidence, and it is written for each person on the committee in your voice. A separate model judges it before you see it.
sending, per person
Self-tuning
Every send is traced through to the meeting, the opportunity and the closed-won amount. Those outcomes are written back into layer one, so next month's scoring is calibrated on the deals that actually closed.
sharpens with use
layer one
Signals built for your market, not bought off a shelf.
A roster of agents reads public, checkable evidence, configured to your keywords, competitors, titles and geography. Some signals are about a company. Some are about one specific person. You need both.
01
Signals
Anyone can buy the same intent data as their competitors. Nobody else is watching the one thing that means a deal is coming in your world. If that signal does not exist yet, I build the agent for it.
02
Scoring
Ten weak signals never outrank one strong one, and a reason to call from six months ago sinks on its own. Every number is open, and every one of them is yours to move.
03
Buying committees
A logo is not a person you can email. Every signal lands with the champion, the buyer and the product owner attached, so your team can act the same morning instead of starting a research project.
The full list: every signal, agent and scoring rule
layer two
Writing one good message is easy. Writing a hundred you would sign your name to is not.
Sending is a solved problem. You can buy it for a hundred dollars a month. The hard part is producing messages that are actually worth receiving at real volume, and still having a person approve every one before it goes out. That is where most of the machinery is: the drafting runs automatically, the standard is yours, and nothing leaves without your sign-off.
A generic email with a first name merged into it is not personalization, and buyers stopped being fooled by it years ago. Every draft here is built from research, not from a template.
The account is researched into a cited brief before a word is written. Then it writes from your context library, matches the offer to the evidence, strips the AI tells by name, scores itself, and hands you a draft. Your edits become rules, so the next batch sounds more like you than the last.
Research the account
Searched and synthesized into a grounded, cited brief first: what they build, what changed, what the signal means for them. No research, no draft.
Load your context
Your offers and proof, ICP rules, personas, competitors, terminology, voice, and a file per account. Each step reads only what it needs. Your IP, and it leaves with you.
Match the offer to the evidence
One angle per account, chosen from what the evidence supports. Everyone on the committee gets that angle written for their role, so the account reads as one conversation instead of three unrelated pitches.
Write in your voice
Structure, grammar and tone enforced in code, not vibes. Nothing gets asserted that cannot be pointed at.
Kill the AI tells by name
A banned list of the specific patterns that read as machine-written: inflated openers, follow-ups that narrate the thread, the giveaway vocabulary. "Sound more human" gives a model nothing to act on. A list of phrases it may never write does.
Judge it before you see it
Scored by a separate model, not the one that wrote it. Weak drafts get rewritten and the better version kept. A simulated recipient reads it too, so you see how it lands first.
You edit. That is the gate.
You edit a small sample as a spreadsheet. Those edits become the rules for the whole run, so an hour on ten drafts shapes the four hundred that follow.
Your edits become rules
Every edit is captured. Replies are classified, offers tested against each other, results tracked per signal type. The scoreboard is qualified opportunities, not opens.
Sending is the easy part, and you choose how. Your team sends approved copy from their own inboxes and LinkedIn accounts, or I run the sequences. Either way a human is at the trigger, and one rule is not configurable: nobody your team is already talking to gets a cold anything. Your CRM is checked first, whoever owns the record.
layer three · self-tuning
Most tools stop at the score. Most agencies stop at the send.
Neither of them gets better next month. This is the part that does.
Every message traces back to the signal that caused it and forward to what it produced. Not opens, not clicks. The meeting, the opportunity, and the closed-won revenue, with the amount attached.
That trace is wired back into the front of the platform. The signal weights that pick next month’s accounts are calibrated on the deals that closed this month. What produces nothing gets demoted.
Built for the volume you actually send
Most measurement tooling assumes thousands of sends a month. A real operator sends ten to thirty a week, where ordinary A/B testing produces confident nonsense. So it ranks under uncertainty instead of declaring winners. Nothing shows a percentage under thirty sends, and nothing calls a winner under two hundred. You will see “insufficient data” more often here than in a dashboard built to impress. That is the point.
No third-party intent feeds anywhere in this. Every touch is first-party: your site, your sends, your CRM.
how it works
Configured for you, then it just runs.
You are not buying software to operate. You are buying the output.
Discovery call
I map your ICP, your competitors, the titles that matter, and what a real buying moment looks like in your market. This is where the signal design happens, and it is the part most tools skip entirely.
I do the setup
Your keywords, your competitor set, your title list, your geography, your fit rubric. I make the connections, drive the configuration, and stand up your instance. Your team gives me access and answers questions; that is the whole ask.
Delivery, wherever you work
Signals land in Slack, Microsoft Teams, a sheet, or your CRM. They are also live to your whole team through Signal MCP, a read-only connector, so anyone can query the signal database straight from the AI tools they already use, instead of it living inside one person’s seat.
Quarterly tuning
Markets move and so should the model. I review what fired, what converted, and what was noise, then we retune the rubric together. You can also change it yourself, any time.
why gtmmm
Good, fast, cheap. Pick all three.
That was a joke for thirty years, and AI just broke it. Fast and cheap are table stakes now, which means the only thing left worth paying for is the judgment about what to build, what to say, and who to say it to. That is the part I do not automate.
| gtmmm | Signal software | Outbound agencies | |
|---|---|---|---|
| Onboarding | I do it. I make the connections and drive the configuration. You give me access and answer questions | An implementation project, staffed by you, or a paid onboarding package | Discovery decks and a questionnaire, then you wait |
| Signal sources | Built for your market, company level and person level, including new sources made specifically for you | A fixed set every customer shares | Off-the-shelf databases and third-party intent |
| The message | Researched per account, email and LinkedIn, offer matched to evidence, judged and edited before it ships | Not their job. You write it | Templates and merge tags, or AI at volume on a shared playbook |
| What it learns | Outcomes recalibrate the signal weights that pick next month's accounts | Nothing it learns changes what your team does next | Nothing carries into next month |
| Risk | Month to month. Cancel any time, and what was built about your market still walks out with you | Annual contract, seat minimums, renewal pressure | Multi-month retainer with a ramp period you pay for |
who runs it
AI is finally letting me build the GTM tools I always wanted.
I have spent twenty-five years running revenue teams and implementing commerce and marketing systems. Dozens of them, on both sides of the table. Every one of them eventually hit the same wall: the tool could not be pointed at the thing that actually mattered in that specific market.
So I built my own, and I run it for a handful of clients at a time. This is not a mass-market software product and I am not trying to turn it into one. It is a different kind of fractional GTM: you get the operator and the machinery together, and the machinery is only worth anything because someone senior is deciding where to point it.
Adam Silverman on LinkedInfit
Who this is for.
I take a handful of clients at a time, so fit matters more to me than volume does. I would rather have the conversation and work out together whether this is right than have you guess from a website. If any of this sounds like you, it is worth a call.
- You want an operator embedded in the work, not a vendor running a playbook.
- You would rather reach the right accounts at the right moment than blast a list.
- You want your signal data to be yours, and the scoring behind it to be something you can open up and tune.
- Your deals are worth enough that precision beats volume.
- You understand the buyer’s lifecycle, and that revenue is a trailing indicator of work that happened weeks or months earlier.
- You want to know what is working while it is still early enough to change it.
questions
The things people actually ask.
Is this third-party intent data?
No, and that is the point. Every signal is public, checkable evidence or your own first-party data: a job posting, a filing, a grant, a leadership change, a public post, a visit to your own site. Nothing here is a purchased intent feed that four of your competitors also bought this quarter.
Do you track people, or just companies?
Both, and they answer different questions. Company signals tell you an account is moving. Person signals tell you a specific human is worth reaching right now: a contact changing jobs, scored by whether they moved into or out of your ICP, someone taking an advisory seat at a target, or a person posting publicly about the problem you solve. All of it is public, checkable evidence.
Which channels does the outbound run on?
Email and LinkedIn messaging, sequenced together against one account so two people never work the same company in parallel. Paid social and paid search can be added as amplifiers, targeted off the same signal-matched segments. Your team can send from their own inboxes and LinkedIn accounts, or I run the sequences.
Who actually writes the emails?
They are drafted from real research about that specific account, and you approve them before anything ships. Sample copy comes to you as a spreadsheet you edit directly, and your edits are captured as rules, so the drafts move toward your voice with every batch. I am in that loop with you.
Will it contact someone we are already talking to?
No. Before anything sends, your CRM is checked for real interaction history on that person, regardless of who owns the record, and anyone your team has touched recently is held for human review. This one is not configurable, because cold-contacting a person your founder met last month is worse than sending nothing.
How much work is this for my team?
Access and answers. I make the connections and drive the configuration myself, so there is no implementation project on your side and nobody on your team needs to learn a tool. The recurring ask is a quarterly tuning call and whatever time you want to spend editing sample copy, which is the one place your judgment genuinely changes the output.
Who owns the data?
You do. The signals, the account research, the committees, the content, and the context library built for your business: full export, any time, including the day you stop working with me. I own and operate the platform itself, which is why it is running for you in weeks instead of you funding a build. If you ever want the system in-house, you can buy it.
Can we see why an account scored the way it did?
Yes, down to the arithmetic. Within a category only the strongest signal counts, so noise cannot stack. Every other category that fired adds a quarter of its strength, so breadth of evidence beats repetition. Everything decays on a 60-day half-life. A company you have marked off-ICP takes a flat penalty, so it cannot climb on volume. You can see each of those numbers per account, and you tune the fit rubric yourself. The whole platform is here.
How is this different from an attribution platform?
Attribution platforms measure what happened. They do not find your accounts, write your messages, or send them. A team still has to do all of that, and nothing the platform learns changes what that team does next. I run the whole path, and what gets measured at the end rewrites the scoring at the start.
Is this an AI SDR?
No. The agents find and score, the copy desk drafts, the judge filters, and a human decides what goes out. The category that automated that judgment away is the reason buyers now distrust their inbox, and it is not a mistake I am interested in repeating.
What happens if it is not working?
You stop paying. Month to month, no long contract, cancel any time, and what was produced about your market is still yours. That is the whole risk model.
Get a free sample.
Tell me what you sell and who you sell it to, and I will send back one real account: the signals I would build for you, the buying committee attached, and the copy I would send them. No charge, and no call required to get it.
Rather skip the form? adam@gtmmm.ai · Text 310-490-9836
GTM should be tasty.
adam@gtmmm.ai gtmmm · Adam Silverman · fractional GTM engineering