Overview
Agent GTM is the AI agent for GTM and revenue functions. You give it your deck. It studies your market, builds a verified map of the accounts and people worth knowing, writes outreach grounded in real research, checks every address so nothing bounces, and runs the email campaigns that book meetings. A human approves every campaign before it sends.
Most outbound tools hand you one slice of that and leave the rest to you. A data tool gives you contacts. A sequencer gives you a place to send. A writing tool gives you copy. You become the integration layer, stitching them together and operating them every week. Agent GTM runs the whole chain as one motion, so the only thing you operate is the approval step.
The chain has five moves. Each is covered in detail below.
| Move | What happens | You |
|---|---|---|
| 1. Research | Reads your deck, maps your market and the buying ecosystem | Nothing |
| 2. Graph | Builds a verified graph of target accounts and the specific people in them | Nothing |
| 3. Verify | Validates every email and paces sending to protect your domain | Nothing |
| 4. Write | Drafts research-grade, signal-based sequences per persona | Review |
| 5. Send | Runs the approved campaigns and books meetings | Approve |
Why outbound breaks
Three failure modes dominate modern outbound, and Agent GTM is built around avoiding all three.
Bought lists go stale
A list you buy is a snapshot of a moment that has already passed. People change roles, companies restructure, addresses die. Sending to a stale list spikes bounces, and bounces are the fastest way to wreck your sending reputation. Agent GTM builds its target graph fresh and verifies it at send time rather than trusting a file someone exported months ago.
Generic AI has no grounding
A general model can write a confident email, but it does not know that the company just raised a Series B, that the buyer moved into the role six weeks ago, or that the team is hiring for the exact pain your product solves. Without that grounding, "personalization" collapses into merge tags. Agent GTM grounds every message in real signals it gathered during research, so the relevance is earned, not faked.
Fully autonomous bots torch domains
The "set it and forget it" AI SDR sends at volume with no judgment. It burns through unverified addresses, repeats off-brand messaging, and gets the domain flagged. The correction the market is making, back toward human-in-the-loop, is the model Agent GTM was built on from day one. The agent does the work; a person approves the send.
The throughline: every design decision below exists to protect two things, your domain reputation and your brand. Lose either and the pipeline stops, no matter how good the targeting is.
The only input: your deck
You do not build a table, write a prompt, or configure a tool. You drop your pitch deck. Everything the agent needs to start is already in there.
- Your product and value. What you sell, the problem it solves, and the proof you have.
- Your buyer. The roles, the company profile, and the pains your deck speaks to.
- Your positioning. The language you use, the competitors you frame against, the outcomes you promise.
From the deck, Agent GTM infers your Ideal Customer Profile, your market, and your messaging. You can add a target country and a few notes if you want to steer it, but those are optional. The deck is enough to start.
Why a deck and not a form: a deck is the densest, most honest description of a company that already exists. It was written to win, so it contains the real value proposition and the real buyer. A form makes you flatten all of that into boxes.
Step 1: Research
Input: your deck. Output: a market and ecosystem map.
Before any names are gathered, the agent learns the territory. It reads the deck, then researches the market you sell into: who the buyers are, how they are organized, what triggers a purchase, and where your product fits against the alternatives. For regulated or specialized markets it goes a layer deeper into the ecosystem, the categories of company, the roles that hold budget, and the signals that indicate timing.
This is the step that makes everything after it specific. Targeting, personalization, and message angle all draw from what the research turns up. Skip it, and you are back to spray and pray with better tooling.
Step 2: The account-and-people graph
Input: the market map. Output: a verified graph of accounts and people.
The agent builds a graph, not a list. A list is flat: rows of contacts with no relationship to each other. A graph connects companies to the specific people inside them, the roles those people hold, and the signals attached to each, so the agent can reason about who to reach, in what order, and why now.
Accounts
Companies that match your ICP, scored against the research from step one. Each carries the firmographics and the timing signals that matter: funding, hiring, expansion, tech stack, leadership changes.
People
The actual buyers and influencers inside each account, with verified contact data and the context that makes a message land: their role, their tenure, and the signal that makes them worth contacting today.
The graph is built from research and enrichment rather than a single bought file, and it is refreshed rather than frozen. That is what keeps the next two steps honest.
Step 3: Verify
Input: the graph. Output: a send-ready, deliverability-safe audience.
Every email address is verified before it is ever used. Invalid and risky addresses are filtered out, not sent to and hoped for. This single practice is the highest-leverage thing you can do for deliverability, because bounces are what tank a domain.
Verification is necessary but not sufficient. The agent also paces sending so volume ramps sensibly instead of spiking, which is the pattern that gets a domain flagged. The result is an audience that is not just well-targeted but safe to actually contact. There is a fuller treatment below.
Step 4: Write
Input: the verified audience plus research. Output: drafted sequences, per persona.
Now the agent writes. Not merge tags, research-grade copy: messages built around the real signals it found, framed for the specific persona, in your positioning and voice. A note to a Head of Credit who just expanded into a new market reads differently from one to a VP of Ops at a company that just acquired a competitor, because the agent knows the difference.
Output is a full sequence per persona and scenario: the opener, the follow-ups, and the angle for each, all grounded in something true about the recipient. This is the step where you come in. Everything is drafted for your review, never sent blind.
Step 5: Send, with your approval
Input: your approval. Output: live campaigns and booked meetings.
You review the drafted campaign. You approve it, edit it, or kill it. Only what you approve goes out. The platform has no capability to send on its own, by design, which is covered in control below.
Approved campaigns run, paced and verified, and replies route back to you. Positive replies become meetings on your calendar. The loop then continues: research stays current, the graph refreshes, new sequences are drafted for your approval.
Channels: email and LinkedIn
Email is the core channel, for the reasons above: it is verifiable, pace-able, and measurable. It is where the engine does most of its work.
LinkedIn is available as a managed, done-with-you add-on for when you want more surface area on the same buyers. It runs auto-forever scraping and connecting inside LinkedIn's safe limits, so your network and reach grow every day while the email engine runs in parallel. The full breakdown is on the LinkedIn automation page.
Email (core)
Verified, paced, research-grade sequences. The primary path to booked meetings.
LinkedIn (add-on)
Managed scraping and connecting that compounds your network and reach over time.
Control and the human in the loop
Agent GTM is human-in-the-loop by construction, not by setting. A few things are true and stay true:
- Nothing sends without your approval. The platform has no auto-send. Approval is a step in the workflow, not a checkbox you could accidentally turn off.
- You see the work. Drafts, the reasoning behind them, and the sources they draw on are visible before anything goes out.
- You can edit or kill anything. A campaign, a sequence, a single message. You hold the pen.
This is the difference between an agent that helps you and a bot that acts for you. The first compounds your judgment. The second eventually embarrasses you.
Why this matters beyond safety: human approval is also what keeps the messaging on-brand and the targeting sane as you scale. It is the cheapest insurance you can buy against the failure modes in section two.
Deliverability in depth
Deliverability is the quiet variable that decides whether outbound works at all. A brilliant campaign to a burned domain books nothing. Agent GTM treats it as a first-class concern, not an afterthought.
- Verify before send. Every address is validated; invalid and risky ones are removed. This keeps bounce rates low, which is the single biggest factor in domain reputation.
- Pace, do not blast. Volume ramps gradually. Sudden spikes look like spam to inbox providers and get you filtered.
- Relevance keeps you in the inbox. Research-grade messages earn replies and avoid spam complaints, which feeds back into a healthy sender reputation.
- Authentication is table stakes. Proper domain authentication (SPF, DKIM, DMARC) underpins all of the above.
For a standalone primer, see the email deliverability definition.
Security and your data
Your deck, your documents, and your data are handled with care and used only to run your campaigns.
- Used only for you. The materials you provide are used to deliver the service to you, not repurposed for anything else.
- Encrypted in transit. Everything moves over HTTPS, and the site is served on infrastructure with modern security defaults.
- Access controlled. Submissions and uploads are stored privately and reached through authenticated paths, not public links.
- Retained sensibly. Data is kept as long as needed to serve you and meet legal obligations, then deleted. You can request deletion sooner.
The full detail is in the Privacy Policy.
What you get, and when
The first thing you get is a free GTM teardown: an inferred ICP, a sample of verified leads, and a sample sequence, built from your deck. It shows you what the engine would do before you commit to anything.
From there, research and the first drafts land within days. Most teams see their first qualified meetings within about 30 days. Those are typical ranges, not guarantees; your market, offer, and approval speed all move the number.
- Input: your deck. Optional: target country and notes.
- Engine: research, graph, verify, write, send. You approve the send.
- Channels: email core, LinkedIn add-on.
- First meetings: typically around 30 days.
Getting started
Two ways in. Drop your deck for a free teardown, or book a call and we will walk through it together.