> 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/onboarding/scaling-and-optimizing-with-limy.md).

# Scaling and Optimizing with Limy

## **Goal: Use Limy as a continuous intelligence layer to guide marketing strategy, prioritize effort, and compound AI visibility gains over time.**

By Month 2, the goal is to move beyond individual recommendations and use Limy insights to actively shape your broader marketing strategy.

### Use AI visibility insights to adapt your marketing strategy

At this stage, use Limy to answer higher-level strategic questions such as:

* Which topics drive the most AI visibility and engagement?
* Where does AI consistently position our brand as an authority?
* Which areas underperform despite ongoing effort?
* Which sources mostly influence AI answers?&#x20;
* In which sources do my competitors invest in the most?

### Use these insights to:

* Refine your content roadmap
* Adjust messaging priorities
* Reallocate budget and resources toward topics that AI systems amplify

Limy becomes a signal for where marketing effort delivers the highest leverage in AI search.

***

## Continuously prioritize topics and prompts

### Regularly review:

* High & low visibility prompts
* Non-appearing prompts
* Topics where competitors dominate AI answers
* [Sentiment](/intelligence/sentiment-score-analysis/sentiment-analysis-prompt-level.md) positioning across LLMs
* Strong [sources](/intelligence/source-analysis.md) across your industry and competitors

### Use this analysis to:

* Double down on topics where momentum is building
* Deprioritize low-impact areas
* Identify emerging opportunities before they become competitive

This ensures your team focuses effort where AI visibility can compound over time.

{% hint style="info" %}
**Focus** on topics, prompts, and recommendations that consistently drive visibility and outcomes, rather than trying to address every opportunity at once.
{% endhint %}

***

## Leverage Source Analysis to guide distribution and PR strategy

AI systems rely heavily on external sources when generating answers. In Month 2 and beyond, Source Analysis should inform your broader distribution strategy.

### Continuously review:

* Which sources AI systems reference most in your industry
* Which sources competitors appear in frequently
* The balance between owned, earned, and third-party sources

### Use these insights to:

* Guide PR and media outreach
* Inform partnerships and placements
* Shape where content should be published or syndicated

Source Analysis helps ensure your marketing efforts align with where AI systems actually learn.

{% hint style="info" %}
Patterns in Source Analysis often indicate which publications, platforms, or communities influence AI-generated answers in your industry and should **shape** your distribution and PR strategy.
{% endhint %}

***

## Actively manage and improve sentiment

Sentiment should be monitored on an ongoing basis, not only during onboarding.

### Use Sentiment insights to:

* Identify prompts where AI framing is negative or inconsistent
* Understand which sources or narratives drive that sentiment
* Prioritize corrective actions through content, PR, or messaging updates

{% hint style="info" %}
Sentiment is most valuable when used to **identify** specific narratives or sources that influence AI framing, allowing targeted corrective action rather than broad content changes.
{% endhint %}

***

## Analyze how AI systems read your content with the Bot Monitor

Use the [**Bot Monitor**](/monitoring/bot-monitor.md) to understand how AI agents crawl and ingest your website.

Keep focusing on:

* Which pages AI bots visit most frequently
* Which content is refreshed or re-crawled over time
* Whether high-priority pages are being ingested consistently

This insight helps you:

* Identify which pages influence AI-generated answers
* Detect gaps where important content is not being crawled
* Prioritize optimization for pages that matter most to AI systems

Bot Monitor data reflects **how** AI systems ingest your content, not how users behave, so focus on which pages are crawled most frequently and which are not.&#x20;

{% hint style="info" %}
If critical pages are not being crawled, this may indicate accessibility, structure, or technical issues worth addressing.
{% endhint %}

***

## Understand how AI-driven users behave with the Limy Pixel

Use the [**Limy Pixel**](/monitoring/ai-traffic-monitor.md) **(AI Traffic Monitor)** to analyze how users behave after arriving from AI-generated answers.

Review:

* Which AI platforms drive the most traffic
* Which pages AI-driven users land on
* How engaged AI-driven users are compared to other channels
* Drop-off points or friction in the user journey

This allows you to evaluate whether AI-driven traffic is **qualified, engaged, and aligned with your goals**.

{% hint style="info" %}
AI-driven traffic may initially appear smaller than traditional channels, but it often represents **higher-intent users** who have already researched options and are seeking clear recommendations or next steps. Because users arrive after interacting with AI-generated answers that synthesize and evaluate information for them, **they tend to be further along** in the decision process and more likely to engage or convert.
{% endhint %}

***

## Measure business impact with Attribution

With AI Traffic Monitor in place, [**Attribution**](/monitoring/attribution.md) becomes a critical part of Month 2 analysis.

Use Attribution to:

* Track conversions originating from AI-driven sessions
* Identify which prompts and topics contribute to outcomes
* Measure lead volume, pipeline, or revenue from AI search

This helps shift internal conversations from *visibility* to *impact*, allowing you to justify continued investment in AI visibility optimization.

{% hint style="info" %}
Attribution helps you understand which AI prompts and conversations drive real business outcomes, allowing you to **prioritize** visibility improvements based on revenue, pipeline, or conversion impact rather than impressions alone.
{% endhint %}

***

## Continue implementing and tracking recommendations

Recommendations remain an important execution layer, but in Month 2+ they should be used more selectively.

### Best practices include:

* Regularly reviewing new recommendations
* Keeping [statuses](/optimization/recommendations/recommendation-statuses.md) updated so Limy continues surfacing relevant actions
* [Tracking](/optimization/recommendations/recommendations-tracking.md) completed work with URLs to measure impact
* Aligning recommendations with strategic priorities, not ad-hoc execution

This keeps your optimization loop clean and intentional.

***

## What long-term success looks like

### By consistently applying Limy insights, you should see:

* Sustained growth in AI visibility across priority topics
* Improved positioning relative to competitors
* Stronger, more consistent sentiment in AI-generated answers
* Clear alignment between marketing strategy and AI discovery
* Measurable business impact through Attribution

At this stage, Limy functions as a strategic visibility layer, informing not just AI optimization, but broader marketing decisions.

### FAQs

<details>

<summary><strong>How often should I review Limy insights?</strong></summary>

Most teams review key insights weekly and use them to inform monthly planning, content roadmaps, and optimization priorities.

</details>

<details>

<summary><strong>How should Limy be used after the first month?</strong></summary>

After the first month, Limy should be used as an ongoing intelligence layer to guide topic prioritization, content strategy, PR efforts, and performance measurement across AI search.

</details>

<details>

<summary><strong>How long does it take to see meaningful insights in Limy?</strong></summary>

You can begin reviewing visibility insights within the first few days, with more actionable patterns and trends becoming clear by the end of the first week.

</details>

<details>

<summary><strong>Do I need my technical support during onboarding?</strong></summary>

Technical support is only required for setting up the AI Traffic Monitor (pixel) and Bot Monitor (CDN integration); all analysis and recommendations can be managed by marketing teams.

</details>

***

## Related Content

{% content-ref url="/pages/e9QoPVEoiU1A9GYC24Ws" %}
[Onboarding Check-list](/onboarding/onboarding-check-list.md)
{% endcontent-ref %}

{% content-ref url="/pages/8oZ4sgGqI2ai6UorfN3c" %}
[Your First 30 Days with Limy](/onboarding/your-first-30-days-with-limy.md)
{% endcontent-ref %}

{% content-ref url="/pages/1yBjpt1M5rHVBBSlDhvL" %}
[Settings](/settings/settings.md)
{% endcontent-ref %}

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