GTM OS · the map
How the GTM OS works.
The whole system on one map: where the leads come from, how each message gets written, which channel it goes out on, who replies, and how the learnings loop back into the next campaign. Tap any piece or follow the tour.
- ZM
- our own tool
- IA
- AI agent
- Clay
- third-party tool
- outbound flow
- positioning
- data and context
01
Client context
Everything we know about the client, in one database.
02
Strategy and sources
Which leads, through which channel, with what angle and when.
03
GTM workflows orchestrated in Clay
Clay orchestrates; the agents write and review every campaign.
04
Multichannel outreach and LinkedIn positioning
Three channels, on our own infrastructure and positioning.
05
Replies and meetings
AI drafts, a person sends, the meeting gets booked.
06
Operational efficiency
Every status change and every metric, with no manual work.
07
Constant communication
The client sees everything and approves what goes out.
08
Continuous improvement
What worked goes into the next campaign.
After stage 08 everything loops back to 02: what worked goes into the next strategy, and booked leads into the Do Not Contact List.
GTM OS
Tap any piece to see what it does
Or follow the tour: eight stages, from the client context to the booked meeting, and back to the strategy for the next campaign.
The tour, step by step
What the map shows, in eight steps.
- 01
Client context
Workshops, the client's website, deep research with Perplexity and every ongoing input feed the Clients Context Master DB: ICP, value proposition, cases, tone and objections. The strategy, the copy and the replies all come from there.
- 02
Strategy and sources
We define sources, channels, angle and timing. The initial list comes from the Leads & Companies Master DB, live signals, web scrapers and external databases such as Apollo, Clay, AI Ark and Apify. Everything is checked against a Do Not Contact List that is updated all the time.
- 03
GTM workflows orchestrated in Clay
Clay orchestrates the whole flow. The ZM Copywriter Agent writes every message from scratch, personalized and relevant, at scale. The ZM Reviewer Agent checks the campaign before it goes out, and the client approves the copy.
- 04
Multichannel outreach and LinkedIn positioning
Email on our own infrastructure, watched by the infrastructure monitor. WhatsApp on a tool of our own, built 100% for this. LinkedIn from positioned accounts: the ZM Content Platform publishes valuable content and the ZM Engage Machine adds real likes from the ZM pool. More acceptance, more replies, more conversion.
- 05
Replies and meetings
Every reply lands in the ZM Reply Manager with a draft the AI writes from the full context. A person reviews it and sends it: fast, personalized replies aimed at booking the meeting.
- 06
Operational efficiency
n8n and Railway move every status change and every metric from the three channels into the pipeline and metrics database, trigger follow-ups by status and post every new reply to Slack. No manual ops work.
- 07
Constant communication
The client sees metrics, pipeline and strategy in the ZM Client Portal, and we stay in constant touch on Slack or Google Chat. The day after each meeting, an agent asks the client to validate it.
- 08
Continuous improvement
The ZM Analyzer Agent measures what worked by campaign, channel, segment and copy, and feeds the learnings back into the strategy. Every campaign goes out better than the last one.
This is why we work with enterprise and VC-backed companies.
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