The CegTec platform
Your entire GTM in one system. Driven by chat.
Integrate, automate, analyse and learn. GTM Goat connects data sources, agents, workflows and analytics into one system that gets smarter with every interaction. All through chat in the Command Center.
Book an intro callFour weeks free when you register yourself, no credit card needed, API and MCP access included. After an intro call an offer starts immediately.
Your sales stack is fragmented, and it loses exactly the insights that create pipeline.
Every tool knows only its own slice. What your company has learned about winning customers is spread across dozens of systems, and stays unused.
12 tools, no shared context
LinkedIn tool, enrichment, cold email, CRM and analytics all run separately, and none of them learns from the others.
Insights drain away
What works sits scattered across five dashboards that nobody brings together. The answer exists; it just is not in one place.
Reps manage tools instead of selling
Copy and paste between systems eats exactly the time that belongs in the conversation with the decision maker.
GTM knowledge walks out with the people
No institutional memory: when a rep leaves, their knowledge leaves too, and every new hire starts from zero.
Activity theatre instead of pipeline
Many sends, few meetings, and nobody knows which lever actually produces pipeline.
Automation without control is spam
Volume tools with no approval point burn domain reputation and brand instead of booking meetings.
GTM Goat replaces the stack with one system that integrates, automates, analyses and learns from every interaction.
The principle
A system that knows more with every lap.
It all runs in one system: connect, understand, automate, measure, learn, and what was learned starts the next lap. That is exactly what "self-improving" means.
- Integrations Connect CRM, mailboxes, LinkedIn, enrichment, the tools you already run, in one system instead of eight tabs.
- Knowledge Understand From that the system derives who your customers are, which signals count and how you sound.
- Execution Automate Tables, sequences, workflows and agents work on that knowledge, not on assumptions.
- Analytics Measure What went out, who replied, what became a meeting. On the same entities, not across five tools.
- Learnings Learn Which angle lands, for which persona, through which signal. Hypotheses run against each other as an A/B test.
What was learned goes back into knowledge, and the next lap starts on it.
Why this is more than automation
An automation does the same thing on lap ten as on lap one. Here lap ten is a different lap: it runs on knowledge built from nine laps of results. That is why the category is self-improving, not automated.
And you do not start at zero
The platform brings agents and data built for this field: ideal customer profiles, buying signals and messaging angles that have worked in real DACH campaigns. You skip the learning curve others pay months for, and start at lap three rather than lap one.
The knowledge
Everything your GTM is made of, wired in one place.
The loop above needs a foundation: what you know about your customers, your signals, your tone. That is the GTM brain. Playbooks, tables, sequences and workflows, and where your knowledge lives in them. Not an illustration, but the actual state of a workspace.
The feed
Not more tools. Fewer decisions.
Agents work in the background. Whatever needs your attention lands in the feed, sorted by urgency and with the reason next to it. And you decide what shows up there at all.
- Now Confirm the meeting M. Petersen proposed two slots Reply →
- Today Classify a reply 3 replies are waiting for your approval Open →
- Today Second touch is due Nordwind Energie opened 6 days ago and did not reply Follow up →
- This week The sequence is running dry 40 rows left, and the source stops feeding on Friday Check source →
The answers already exist. GTM Goat connects the dots.
Every week the system answers your most important GTM questions, backed by thousands of interactions instead of gut feeling. No dashboards to interpret yourself, just clear recommendations.
ICP
- •Which companies convert best?
- •Which personas close fastest?
- •Which industries should we stop targeting?
Positioning
- •Which pain points create urgency?
- •Which value proposition wins?
- •Which competitors are mentioned most?
Messaging
- •Which messages generate replies?
- •Which objections kill deals?
- •Which narratives consistently win?
Offers
- •Which offer converts best?
- •Which pricing works?
- •Which CTA creates pipeline?
Everything through chat, for every role
Whether GTM engineer or sales rep: you say what you need, the agent does it and shows the result.
Your agent answers where your team works: in Slack
Ask about pipeline, leads and replies right in the channel, and the agent answers in a thread, with live data from your workspace. New replies and hot signals get flagged proactively.
The Slack agent is deliberately read-only: actions like launching campaigns or sending replies run through the Command Center, with your approval. Beyond Slack, you can connect Teams, Telegram, WhatsApp Business and email as channels.
Interactive live demo of the platform
Click through Command Center, playbooks, pipeline and more. No account needed.
The interactive demo is optimised for desktop screens.
Explore the platform live →All features
Playbooks
ICP, buying signals, personas and messaging angles in one structure. Every campaign starts with a documented thesis, not a gut feeling.
AI sourcing & qualification
Source companies from LinkedIn, data pools and web research, qualify them against your ICP with AI, including a written rationale per account.
Enrichment & validation
Find decision-maker contacts, enrich them and validate email addresses before a single message goes out.
Multi-channel outreach
Email, LinkedIn and WhatsApp as orchestrated sequences, persona-specific messaging instead of copy-paste templates.
Reply handling with approval
Incoming replies are classified and prioritised, AI drafts the response, nothing is sent without human approval.
Learning agent
The system learns from every piece of feedback: rated replies, meeting outcomes and qualification decisions improve the next campaign.
Calendar & meeting prep
Calendar integration for direct bookings, automatically generated briefing docs before every meeting.
Analytics & funnel
Funnel from sourcing to meeting, campaign statistics and cost per opportunity. Origination KPIs instead of activity theatre.
Experiments & A/B tests
Test messaging angles against each other and promote the winner automatically. Data-driven instead of opinion-driven.
Deliverability controls
Sender pool management, warmup and limit-compliant sending per account. Deliverability as a system responsibility.
Integrations
CRM sync (HubSpot), n8n workflows, your own data sources, and controllable straight from Claude Code via MCP. Slack integration: chat with your agent, notifications in your team channel.
GDPR-compliant
B2B contact data from publicly available sources, documented legal basis, opt-out mechanisms, EU hosting.
AI agents do the work. Humans make the calls.
Every action with outside impact, lead approval, reply sending, campaign launch, passes through a human approval point. The system proposes with a written rationale, you confirm or correct. The agent learns from every correction. That is how you scale without losing control, and without the spam that ruins automated outbound.
Fits your existing setup
CRM, enrichment, email and LinkedIn. We integrate with your tools instead of forcing new ones. 28+ integrations, zero vendor lock-in.
Incl. MCP access
Your campaigns. One command away.
No dashboard. A system your AI assistant can query and steer directly. You get your own MCP server and operate prioritisation, outreach and lead data straight from Claude Code or your AI assistant.
20 accounts prioritised · Top: Acme GmbH (Series B + 3 sales roles), TechFlow AG (new CTO) > Which signals predicted meetings last quarter? Analysing outcomes from 4,360 contacts…
Top signal: new executive hire · 3.1x meeting rate vs baseline, then job postings (2.4x) > Show me duplicates and data gaps in the CRM Scanning HubSpot + enrichment…
47 duplicates, 132 gaps found · Merge suggestions ready for approval > Start outreach for the 50 target accounts Enriching leads → Pushing to Instantly…
Campaign "Q1 Targets" started · 50 leads, 3-step sequence > Pipeline report for this month Aggregating CRM + outbound + LinkedIn…
127 leads → 34 meetings → 12 proposals → 4 closed won (€189k)
Every category in detail: CRM, calendar, research, managed outreach, and more.
See all integrations →The difference: your agent operates the system directly
Most GTM tools give an agent an API to read from. GTM Goat is built agentic: an open MCP surface. Connect Claude Code, Codex CLI, OpenClaw, Cursor, or any other MCP-capable agent directly to your workspace, and it can research, qualify, build sequences and run workflows, not just read. The agent receives the system model on connect, and approvals, workspace isolation and credit caps are enforced server-side, regardless of which client connects.
Positive reply rates from live systems
Anonymised live data from active GTM Goat workspaces, as of June 2026.
51%
B2B software (sales platform), DACH
55 of 108 replies positive
38%
Solar & renewables (marketplace)
131 of 347 replies positive
27%
GTM services (own pipeline)
42 of 156 replies positive
23%
Average across all active workspaces
301 of 1,307 replies positive
Positive share = replies classified as positive (interest, meeting request) as a share of all incoming replies in the respective campaigns.
Your CRM stores customer data. GTM Goat stores how your company wins customers, and this accumulated GTM intelligence gets more valuable with every call, every email, every win and every loss. That is the moat nobody can copy.
Why the same sequence lands in one industry and not in the next
The system measures it across all workspaces, and that is exactly what turns into the recommendation of who to write to.
Cold outbound reply rate, by industry
Same sequence, same quality, same senders. The difference is who you write to.
The same numbers as a table
| Industry | Reply rate | Classification |
|---|---|---|
| Finance & banking | 10–15 % | top |
| Solar & renewables | 4–9 % | strong |
| Real estate & property management | 3–4 % | solid |
| Software & IT | 1–2 % | crowded |
| Machinery & industry | 0–1.4 % | difficult |
| Automotive | 0–0.5 % | hard |
Basis: anonymised aggregate data from 23 active GTM Goat workspaces, around 46,500 contacted leads and 133,000 sourced companies, as of mid 2026. Reply or better, measured against contacted leads. The full benchmark report →
Credits per workspace, seats per plan.
Credits for research, enrichment and agent work, per workspace, any number of users. Sender identities are unlimited; a seat is a connected LinkedIn or WhatsApp account.
Starter
€149
5,000 credits/month · 1 seat
Entry point and first value
Growth
€499
25,000 credits/month · 5 seats · BYO keys
Mid-market running real outbound
Enterprise
Get in touch
75,000 credits/month · 10 seats · SSO/SLA on request
High volume & agencies
Start with us, or on your own
Book an intro call: we clarify use case, ICP and setup together and make you an offer that starts immediately. Or create a free account and set up your first workspace yourself, in which case the first four weeks are free.