Superlines Documentation
AI Recommendations
The AI Recommendations feature provides data-driven suggestions to improve your marketing strategy. This powerful tool analyzes your current performance and generates actionable recommendations specifically tailored to your business. The purpose of the recommendations is to help your team consider new opportunities and to find optimization opportunities based on your data, competitors, and industry trends.
We use advanced AI agents that are able to independently analyze your data and choose which areas to focus on. You can impact the recommendations by keeping your brand hub up to date.
Overview
The Recommendations page shows a list of recommendations that are tailored to your business. The list is sorted by date but you can also filter by status or priority. Below the list of recommendations you can see a live log of the actions and analysis that are being performed by the AI agents.
Recommendations Status
You can change the status of a recommendation by clicking the dropdown menu on the right side of the recommendation card.
- To Do: Recommendations that are not yet implemented but you should consider
- In Progress: Recommendations you're currently implementing
- Completed: Recommendations you've already implemented
- Ignored: Recommendations that you've chosen to ignore
Our AI models will learn from your actions and adjust the recommendations accordingly.
Recommendation Details
When you click the "View Details" button you can see the details of the recommendation.
- Overview: A summary of the key metrics and goals, summary of the recommendation and the potential impact.
- Analysis: A detailed analysis of the recommendation, including the data that was used to generate the recommendation.
- Execution: A step by step guide and tips for implementing the recommendation.
- Content: Content ideas and drafts related to the recommendation.
- Tasks: Break down the recommendation into actionable tasks and assign them to your team.
Next Steps
After reviewing your recommendations:
- Prioritize the highest-impact recommendations
- Ensure your Integrations are properly set up for accurate data
- Use Superlines AI to generate content for implementing recommendations