🔍 Overview

When you manually implement an OTTO recommendation, you might expect it to disappear from your list automatically after the next analysis runs. However, OTTO is designed to keep recommendations visible indefinitely until you explicitly remove them. This article explains how recommendation persistence works and how to manage your list effectively.

⚙️ How OTTO Recommendation Persistence Works

OTTO surfaces SEO recommendations based on analysis of your site. Once a recommendation appears in your list, it will remain there regardless of whether you have already deployed it. There are two important points to understand:

• Deploying a recommendation does not remove it automatically. After you manually implement a fix, the recommendation stays in your list until you take action to dismiss it.
• Running a new analysis does not clear deployed recommendations. Re-analysis updates the findings on your site but does not trigger automatic removal of existing recommendations from the list.

This behavior is intentional. OTTO retains deployed recommendations so you always have a clear record of what changes were suggested and when you acted on them.

🗑️ How to Remove a Recommendation Manually

Once you have implemented a recommendation, you can remove it from your list at any time. Follow these steps:

1. In the left sidebar, navigate to OTTO SEO and open SEO Automation (URL: /seo-automation-v3).
2. Locate the recommendation you have already deployed.
3. Select the recommendation to open its detail view.
4. Use the Dismiss or Mark as Done option to remove it from your active list.

Removing a recommendation from the list does not undo any changes you have made to your site. It simply clears the item from your OTTO recommendation queue.

📌 Why Recommendations Persist by Design

OTTO keeps suggestions visible after deployment for several practical reasons:

• Audit trail. You can review everything OTTO suggested and confirm which items your team has addressed.
• Avoiding duplicate work. If a recommendation is still visible, team members know it exists and can verify the implementation status before acting.
• Manual control. You decide when a recommendation is truly resolved and ready to be cleared, rather than relying on automated removal that could dismiss items prematurely.

❓ Common Misconceptions

Does crawl frequency affect when recommendations are removed? No. Crawl schedule and re-analysis do not control recommendation removal. New crawls update your site data and may surface new recommendations, but they will not remove existing ones from your list.

Will a recommendation reappear if the issue returns after I dismiss it? No. Once a recommendation is dismissed or ignored, OTTO skips it in later crawls and does not suggest it again.

✅ Best Practices for Managing Your Recommendation List

• After implementing a fix, immediately dismiss the corresponding recommendation to keep your list accurate and actionable.
• Use the recommendation list as a running checklist — review it regularly with your team to track outstanding versus completed items.
• Do not rely on re-analysis to clean up your list. Make manual dismissal part of your standard deployment workflow.

💬 Need More Help?

If you need further assistance, open the chat widget in the bottom-right corner of the platform and type human teammate to be connected with a member of our team.