Same automation. Four different workflows.
Tuesday you saw the code. Today you see how real team members actually use it. Each role has different needs, different views, different wins.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Workflow Process
Impact By The Numbers
"I went from keyword researcher to content strategist. AI handles the data, I handle the vision."
— Content Lead, 6 years SaaS marketing
How Roles Work Together Through the System
Watch how all four roles collaborate on a single campaign using the same automation system.
New Product Launch - SEO Content Campaign
✨ Scroll here to watch the workflow
Team-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Content Production | 8 articles/month | 24 articles/month | +200% |
| Keyword Coverage | 65% target keywords | 92% target keywords | +42% |
| Time to Publish | 12 days average | 4 days average | -67% |
| Organic Traffic | 45K visitors/month | 127K visitors/month | +182% |
Getting Your Team On Board
Content Lead: 'AI will make our content generic and lose our brand voice'
Show that AI generates briefs and drafts, not final content. Content Lead still controls voice, angle, and quality. Run A/B test: AI-assisted vs manual. Track engagement metrics.
AI handles research and structure. Humans add brand personality and strategic positioning. Best of both worlds.
SEO Manager: 'I don't trust AI to make optimization decisions'
AI flags opportunities and generates recommendations. SEO Manager approves all changes. Start with low-risk optimizations (meta descriptions, internal links). Build trust through data.
SEO Manager becomes strategic overseer instead of manual executor. AI handles tedious analysis, human makes final calls.
Social Manager: 'Auto-generated posts will sound robotic'
AI generates 12 variants per article. Social Manager picks best 3 and personalizes. Show examples: AI draft → human polish. Quality improves because more time for engagement.
Social Manager curates and refines instead of creating from scratch. More time for community building and trend-spotting.
Marketing Ops: 'This will cost more than hiring an analyst'
Calculate current cost: 15 hours/week × $50/hour = $3K/month in ops time. Automation: $2K/month. Net savings: $1K/month plus 13 hours back for strategy.
ROI positive in first month. Ops Lead focuses on growth initiatives instead of spreadsheet maintenance.
Leadership: 'What if the system breaks and we lose all our SEO data?'
Show backup strategy: daily exports, version control, rollback capability. Run parallel for 30 days (automation + manual tracking). Prove reliability before full switch.
Leadership sees system is more reliable than manual processes. Automated backups beat human memory every time.
Investment & ROI
Typical payback in 21-30 days through time savings and increased output
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect your martech stack (CMS, analytics, social platforms)
- Configure role-specific dashboards and workflows
- Import historical content and keyword data
- Set up brand voice guidelines for AI
- Train each role on their specific workflow (2hr sessions)
- Run pilot with 2 users per role on real projects
- Gather feedback, adjust configurations and prompts
- Validate output quality and time savings
- Roll out to all marketing team members
- Daily check-ins for first week of full deployment
- Measure baseline metrics vs new performance
- Optimize workflows based on usage patterns
Enterprise deployments may take 4-6 weeks for multi-brand or global rollouts
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