Recommendations
This article explains what are recommendations, and how to leverage them to improve your visibility across the LLMs.
Recommendations help you turn AI visibility insights into concrete, high-impact actions.
AI systems decide which brands to mention based on the content they ingest, the sources they trust, and the patterns they observe across the web. Simply knowing where you appear in AI-generated answers is not enough - improving visibility requires targeted changes across content, PR, technical setup, and external signals.
Recommendations in Limy are designed to bridge that gap. They translate AI visibility data into specific, actionable suggestions that help marketing teams improve how often and how accurately AI systems reference their brand.
Recommendations allow you to:
Improve existing pages that AI systems already read
Strengthen external signals such as PR, social, and third-party coverage
Address technical issues that could limit AI crawlability
Focus efforts on prompts and topics that matter most to your business
Each recommendation is based on observed AI behavior, competitor performance, and the sources influencing AI-generated answers in your market.
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.
Related Content
Recommendation TypesRecommendation GuidelinesRecommendation StatusesRecommendations TrackingRecommendation PlanStill have questions? We’re here to help. Contact us at [email protected] - we’d be happy to assist.
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