Recommendation Guidelines

This article explains how to interpret Limy’s recommendations and apply them effectively to improve AI visibility and positioning.

The Recommendations Guidelines provide clear direction on how to approach and implement each recommendation effectively. They outline the goal of the recommendation, explain why it matters, and include step-by-step guidance and best practices to help you take action with confidence.

Use the guidelines to align with your team, understand expected outcomes, and ensure you’re following the recommended approach for maximizing impact and improving overall visibility.

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Navigate to Recommendations

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Go to Feed

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Select one recommendation

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Click on Learn More

Now that you had a chance to review your suggested recommendation, you can collaborate with your team to put it into action and use it to enhance your overall visibility.

Add a status to your recommendation to organize your workload and signal active work, allowing Limy to surface additional recommendations.

FAQ

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.

How does Limy decide which recommendations to show?

Recommendations are generated based on prompt-level visibility gaps, competitor performance, source influence, sentiment signals, and AI ingestion behavior specific to your market.

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 TypesRecommendation StatusesRecommendations TrackingRecommendation Plan

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