> For the complete documentation index, see [llms.txt](https://support.limy.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.limy.ai/optimization/recommendations/recommendation-types.md).

# Recommendation Types

To help improve your visibility from multiple angles, Limy provides a variety of recommendation types, each focused on a different area of impact.

### Limy suggests five type of recommendations:

1. **Content:** Improvements to existing pages created by you, that AI already ingests
2. **Blog:** New content that you can create
3. **PR:** External validation through articles, reviews, and publications
4. **Social:** Presence in platforms AI systems frequently reference (e.g. LinkedIn, Reddit, etc.)
5. **Technical:** Crawlability, accessibility, and other technical signals

Each recommendation explains what's missing, why it matters for AI visibility, and how to address it.

{% hint style="info" %}
For prioritization, focus on **quick** **wins** and **high**-**impact** recommendations across all topics to drive results faster.
{% endhint %}

### FAQ

<details>

<summary><strong>What are recommendations in Limy?</strong></summary>

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

</details>

<details>

<summary><strong>How does Limy decide which recommendations to show?</strong></summary>

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

</details>

<details>

<summary><strong>Are recommendations customized to my brand?</strong></summary>

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

</details>

<details>

<summary><strong>How should I prioritize recommendations?</strong></summary>

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

</details>

<details>

<summary><strong>Why is it important to update recommendation statuses?</strong></summary>

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.

</details>

<details>

<summary><strong>How long does it take to see results after implementation?</strong></summary>

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

</details>

***

### Related Content

{% content-ref url="/pages/ZgNtnzfIPFGaLSoQAEFw" %}
[Recommendation Feed](/optimization/recommendations/recommendation-feed.md)
{% endcontent-ref %}

{% content-ref url="/pages/ajfv8f1KphGMgjIVgm3T" %}
[Recommendation Guidelines](/optimization/recommendations/recommendation-guidelines.md)
{% endcontent-ref %}

{% content-ref url="/pages/XiB9wOE16TUiomLzxG10" %}
[Recommendation Statuses](/optimization/recommendations/recommendation-statuses.md)
{% endcontent-ref %}

{% content-ref url="/pages/PXwyvGF3UQDVfohKPID9" %}
[Recommendation Plan](/optimization/recommendations/recommendation-plan.md)
{% endcontent-ref %}

{% content-ref url="/pages/AWtqxgqSiPtD7IfmSjls" %}
[Recommendations Tracking](/optimization/recommendations/recommendations-tracking.md)
{% endcontent-ref %}

Still have questions? We’re here to help. Contact us at **<answers@limy.ai>** - we’d be happy to assist.