How Agents Work
Understand how Orbitr's AI agents research, plan, and execute marketing tasks on your behalf.
The Agent Model
Orbitr agents are specialized AI systems designed for specific marketing disciplines. Each agent understands its domain deeply and can perform complex, multi-step marketing tasks that would normally require a human expert.
What Makes Agents Different from Tools
Traditional marketing tools give you data and expect you to act on it. Orbitr agents act on the data for you:
| Marketing Tools | Orbitr Agents |
|---|---|
| Show you keyword data | Research keywords, create content, and optimize pages |
| Display analytics dashboards | Identify trends and create campaigns to capitalize on them |
| Provide A/B testing infrastructure | Design experiments, run tests, and implement winners |
| Offer email templates | Write copy, segment audiences, and optimize send times |
The Agent Workflow
Every agent follows the same high-level workflow:
1. Analysis
The agent continuously analyzes data from your connected integrations — search rankings, traffic patterns, ad performance, email metrics, and more. It identifies trends, problems, and opportunities.
2. Strategy
Based on its analysis, the agent creates a prioritized strategy. It determines what actions will have the highest impact and in what order they should be executed.
3. Task Creation
The agent translates strategy into specific, actionable tasks. Each task is a discrete unit of work with a clear objective, plan, and expected outcome.
4. Execution
Once a task is approved (or automatically if in autonomous mode), the agent executes it. This might mean writing content, launching a campaign, running a test, or fixing a technical issue.
5. Monitoring
After execution, the agent monitors the results. It tracks the impact of its work and feeds those learnings back into its analysis for the next cycle.
Cross-Agent Collaboration
Agents share intelligence with each other:
- SEO keyword data informs social media content topics
- Ad performance data guides CRO experiment priorities
- Email engagement data shapes content strategy
- CRO test results improve landing page creation
This cross-pollination means your marketing strategy becomes more effective the more agents you run.
Platform Agnostic
Agents work with any website regardless of platform. Whether you're on Shopify, WordPress, Wix, Webflow, or a custom-built site, agents adapt their execution to your technology stack automatically.
Continuous Learning
Agents improve over time. They learn what works for your specific business — which content topics drive traffic, which ad formats convert best, which email subject lines get opens. This knowledge accumulates and makes each subsequent task more effective.