CI/CD for Revenue · GTM
Gate outreach before it hits the market
Dokeo is CI/CD for Revenue: every scan runs the same deterministic checks used in production, across all 17 supported content types, with no black-box review.
How does the GTM gate work?
Same engine, different adapter. GTM objects (sequences, ICP docs, battle cards) carry their own type-specific checks: prospect-message fit, positioning consistency, data freshness. The five-severity verdict and the Object/Policy/Test/Issue loop are identical.
- The same draft always returns the same verdict, safe to block a CI pipeline on.
- Every FAIL names the specific check that failed and why.
- 100 free scans a month, no credit card, same gate as production.
Intelligence layer
GTM intelligence, not just a checklist.
The gate runs the checks. The intelligence layer finds the patterns. Sequence quality, ICP drift, pipeline context, all surfaced before work reaches the market.
Sequence Intelligence
Auto-analyze personalization depth, spam trigger density, and deliverability signals across every step of your outreach. The gate catches what manual review misses at scale.
ICP Drift Detection
Compare targeting criteria across sequences, campaigns, and teams. Surface misalignment before it reaches the market, not in a quarterly review.
Pipeline Context
Surfaces patterns in what sequences convert versus what the gate flags. Connects quality signals to pipeline outcomes so the loop compounds.
Agent-Ready Data
Expose gate verdicts, failure patterns, and sequence intelligence to GTM agents via MCP. Agents scan sequences and act on issues autonomously.
If this is your week, you care a lot
- ✗Outreach sequences ship to thousands of prospects without a quality check
- ✗ICP definitions drift across teams and nobody catches the misalignment
- ✗Battle cards go stale the moment competitive intel changes
- ✗Launch plans get approved on vibes, not verified against a testable policy
What the gate gives you
- One five-severity verdict on every GTM object before it reaches the market
- Policy-based checks on sequence quality, ICP consistency, and positioning accuracy
- Same deterministic gate whether sequences were built by a GTM engineer, SDR, or LLM
- The same Object/Policy/Test/Issue loop that runs on content, extended to go-to-market
How the loop runs on GTM
Same nine-step loop as content. Different adapter, different checks, same verdict.
Scenario
An outreach sequence targeting a new ICP segment, built by a GTM engineer
Object
3-step email sequence + ICP definition + target list ingested as linked objects
Policy
Policy requires: personalization token in every step, no banned phrases, ICP-to-sequence alignment, deliverability checks
Test
Sequence quality check, ICP consistency check, spam-trigger scan, personalization coverage
Issue
FAIL: 'Step 2 has no personalization token, generic template will underperform' with the exact line flagged
Fix
GTM engineer adds {{company_recent_news}} merge field to step 2. Fix recorded
Verify
Re-test confirms personalization in all steps, ICP alignment passes. All policies clear
Deploy
Sequence pushed to Smartlead/HeyReach via webhook. Deployment record created
Monitor
Reply rate tracked per step. If step 2 reply rate drops below threshold, sequence reopens
dokeo test outreach-icp-fintech → PASS (personalization ✓ icp-match ✓ deliverability ✓) → ready to send
dokeo test outreach-icp-fintech → FAIL (step 2: no personalization, spam score 6.2/10) → blocked
Status: Coming
The GTM domain has 7 registered object types and 4 check functions. No test adapter or customer is connected yet. The in-app workspace shows exactly that: connect a data source, configure a policy, run the first test.
Same intelligence layer. Different adapter.
Content proves the loop works. GTM connects next. If you want early access to the GTM gate and its intelligence layer, let us know.