Your First 30 Days with Limy

A step-by-step guide to your first 30 days with Limy, covering setup, key features, and best practices to help you start seeing value quickly.

This guide outlines what to focus on during your first 30 days with Limy so you can confidently assess whether you're on track and getting real value from the platform.

Limy is designed to help you understand how AI systems perceive your brand, improve your visibility across AI-generated answers, and measure the business impact of that visibility. The first month is about building the right foundation, establishing a baseline, and turning early insights into action.

Day 1: Set the Foundation

Goal: Ensure Limy accurately reflects your market and competitive landscape.

On your first day, review and validate the core inputs that power all analysis in Limy:

• Topics: Confirm they accurately represent your product, category, and strategic positioning

• Competitors: Verify that the competitive set matches who you actually compete against. If needed, add or delete competitors to ensure Limy analyzes the right market landscape.

• Prompts: Review generated prompts to ensure they represent realistic AI search behavior in your market

Then do an initial scan of:

• Prompts where your brand appears

• Prompts where competitors appear but you do not

• Any prompts, topics, or competitors that feel irrelevant or missing

This step ensures Limy is analyzing the correct AI search landscape before you move into deeper insights.

What “on track” looks like

• Topics and prompts clearly reflect your market

• Competitors are accurate and relevant

• The data looks familiar and actionable

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Days 2: Establish Your AI Visibility Baseline

Goal: Understand how AI systems currently perceive and position your brand.

Start analyzing Limy’s core insight layers:

• Dashboard: Review overall brand visibility, market share, and trend direction

• Prompts: Identify where your brand appears, where it doesn’t, and which prompts matter most

• Competitors: Understand which brands dominate AI-generated answers in your category

• Sentiment (initial read): Get an early sense of how AI systems frame your brand

At this stage, focus on understanding the landscape — not executing changes yet.

What “on track” looks like:

• You can clearly describe your current AI visibility baseline

• You understand where you are strong and where gaps exist

• You have an initial sense of competitive positioning in AI search

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Day 3: Define your Brand Kit

Goal

Ensure Limy understands your brand’s voice, positioning, and messaging so insights and recommendations are aligned with your strategy.

What to do

On Day 3, set up your Brand Kit. This provides Limy with essential context about how your brand should be represented.

Go to Settings > Brand Kit and define:

• Your brand essence and positioning

• Your tone of voice (e.g. authoritative, technical, approachable)

• Core messaging pillars you want AI systems to associate with your brand

• Dos and don’ts, including terms, claims, or narratives to avoid

• Any custom rules relevant to compliance or brand guidelines

Ensure Limy understands your brand’s voice, positioning, and messaging so insights and recommendations align with your strategy.

Why this matters

Without a Brand Kit, recommendations may be accurate but generic. With a Brand Kit in place, Limy can prioritize actions that reinforce your intended positioning and avoid suggestions that conflict with your brand strategy.

What “on track” looks like

• Brand Kit fields are completed and reflect your current brand strategy

• Recommendations feel relevant and on-brand

• Your team trusts Limy’s guidance without needing heavy manual filtering

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End of Week 1: Identify Gaps, Sentiment, and Opportunity Areas

Goal: Turn early data into a clear opportunity map.

By the end of Week 1, you should be able to answer:

• Where do we stand versus competitors?

• Which topics and prompts are we strong in?

• Where are we missing from AI-generated answers?

• How do AI systems currently frame our brand?

Review:

• Dashboard for market position and trends

• Prompts for coverage gaps

• Sentiment to identify positive, neutral, or negative framing

• Source Analysis to understand which sources influence AI answers

This step is about forming a clear strategic hypothesis — not executing yet.

What “on track” looks like

• You can articulate your AI visibility gaps

• You understand which sources and narratives shape AI answers

• You have a prioritized list of topics and issues to address

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Week 2: Start Implementing Recommendations

Goal: Move from insight to execution.

Begin actively working with recommendations:

• Review available recommendations

• Decide which topics and recommendation types to prioritize

• Create a focused implementation plan

As you implement recommendations:

• Update the status (Active → In Progress → Done)

• Add the live URL when completed to enable tracking

This is where Limy shifts from analysis to measurable impact.

What “on track” looks like

• Recommendations are actively being implemented

• Statuses are kept up to date

• Completed work is being tracked

Before implementing recommendations, make sure your topics, prompts, and competitors accurately reflect your market. Clean inputs lead to more relevant insights and actions.

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Week 2-3: Enable Measurement, Attribution, and Brand Context

Goal: Activate Limy’s measurement layer and ensure recommendations align with your brand strategy.

By week 2 or 3, you should complete three critical setups:

1. Install AI Traffic Monitor: Install the Limy tracking pixel via Google Tag Manager. This allows you to track users arriving on your site from AI-generated answers. AI Traffic Monitor makes AI-driven traffic visible and enables downstream attribution.

2. Set Up Attribution: Attribution allows you to connect AI-driven leads to conversions and measure ROI. To set up the attribution, please contact us at [e-mail].

3. Set Up Bot Monitor (CDN Integration): Connect your CDN (Cloudflare, Akamai, Fastly, etc.). This allows you to see how AI bots crawl and ingest your content

Together, AI Traffic Monitor, Attribution, and Bot Monitor give you visibility into both sides of the AI journey: content ingestion and user behavior.

What “on track” looks like

• AI Traffic Monitor is live

• Attribution conversions are defined

• Bot Monitor integration is in progress or complete

The Brand Kit ensures that recommendations and suggested actions align with your brand strategy and positioning.

Setup tip: Limy Analytics setup typically requires collaboration with your development or DevOps team to install the tracking pixel and connect the Bot Monitor via your CDN.

Weeks 3–4: Measure Lift and Validate Impact

Goal: Confirm that your actions are improving AI visibility and performance.

Monitor changes across:

• Prompts: new prompts where your brand appears

• Dashboard: visibility and sentiment trends

• AI Traffic Monitor: AI-driven user engagement

• Attribution: conversions and value from AI traffic

This is where you begin to see whether execution is translating into measurable results.

What “on track” looks like

• Increased visibility for priority topics

• Improved positioning or sentiment

• Early AI-driven traffic and conversions

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Review the check-list to make sure you’ve completed all key setup steps.

FAQs

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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Still have questions? We’re here to help. Contact us at [e-mail] - we’d be happy to assist.