Recommendation Statuses

This article explains how to use recommendation statuses to track progress, keep execution organized, and ensure future recommendations remain relevant.

Keeping recommendation statuses up to date is important, as it helps Limy understand what you’ve already worked on and tailor future recommendations accordingly.

Each recommendation includes a status that helps you manage execution:

• Active: recommendation ready to work on

• In Progress: currently being implemented

• Done: completed and ready for tracking.

  • Once the recommendation is ready, you can add the URL under ‘Tracking’ to ensure that you're measuring the impact of the URL. You’ll be able to see the results under Recommendations > Tracking.

• Dismissed: not relevant or intentionally skipped

Marking a recommendation as In Progress keeps it visible at the bottom of the page, organizes your feed, and signals to the team that it’s already being handled - this helps prevent overlapping work.

FAQs

What are recommendations in Limy?

Recommendations are data-driven actions suggested by Limy to improve how AI systems ingest, reference, and position your brand in AI-generated answers.

Can I dismiss recommendations?

Yes. Dismissing a recommendation removes it from your active queue if it is not relevant to your strategy. You can remove a recommendation forever or snooze it for up to a month.

Are recommendations customized to my brand?

Yes. Recommendations reflect your industry, competitors, and the prompts most relevant to your ICP.

How should I prioritize recommendations?

Prioritize recommendations tied to high-impact prompts, topics with strong commercial intent, or areas where competitors consistently outperform you.

Why is it important to update recommendation statuses?

Updating statuses helps Limy understand what has already been implemented, keeps your workspace organized, and enables the system to surface new and more relevant recommendations.

How long does it take to see results after implementation?

Results typically appear gradually as AI systems ingest updated content and refresh their answers, which can take days or weeks depending on the change.

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Related Content

Recommendation FeedRecommendation TypesRecommendations TrackingRecommendation GuidelinesRecommendation Plan

Still have questions? We’re here to help. Contact us at [e-mail] - we’d be happy to assist.