Scaling and Optimizing with Limy

This guide covers what to focus on after your first month with Limy, including how to adapt your marketing strategy, prioritize topics, and continuously scale your visibility across AI systems.

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?

• 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.

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Continuously prioritize topics and prompts

Regularly review:

• High & low visibility prompts

• Non-appearing prompts

• Topics where competitors dominate AI answers

• Sentiment positioning across LLMs

• Strong sources 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.

Focus on topics, prompts, and recommendations that consistently drive visibility and outcomes, rather than trying to address every opportunity at once.

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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.

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.

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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

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.

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Analyze how AI systems read your content with the Agent Monitor

Use the Agent Monitor 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

Agent 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.

If critical pages are not being crawled, this may indicate accessibility, structure, or technical issues worth addressing.

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Understand how AI-driven users behave with the Limy Pixel

Use the Limy Pixel (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.

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.

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Measure business impact with Attribution

With AI Traffic Monitor in place, Attribution 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.

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.

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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 updated so Limy continues surfacing relevant actions

• Tracking completed work with URLs to measure impact

• Aligning recommendations with strategic priorities, not ad-hoc execution

This keeps your optimization loop clean and intentional.

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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

How often should I review Limy insights?

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

How should Limy be used after the first month?

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.

How long does it take to see meaningful insights in Limy?

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.

Do I need my technical support during onboarding?

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.

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