# AI Search Case Study: 440% Visibility Increase In Just 6 Weeks

LanderLab turned AI search into a real acquisition channel, growing from 5% to 27% visibility and becoming one of the most cited sources in its niche.

Kristavja Caci April 2, 2026 · 5 min read

When [LanderLab](https://landerlab.io/), an AI landing page builder, started using ZeroRank, they were already investing in content and growth.

What they didn’t have was visibility into AI search.

Inside ZeroRank, they got their first clear read:

- AI visibility: 5%  
- limited presence across key prompts  
- rarely included in the sources shaping answers

The visibility score shows how often they are cited across AI models on relevant prompts, relative to the competitors. And at 5%, they were not consistently part of the conversations.

**Six weeks later**, that changed:

- **27% AI visibility** (5.4x / 440% increase)  
- **#4 position** in category  
- #1 **cited source across key prompts**

And more importantly, AI search started turning into a **real acquisition channel**.

This is how they got there, with the help of ZeroRank.

## You can’t optimize what you can’t see

ZeroRank gave LanderLab something they didn’t have before: a direct view into how AI answers in their category are constructed.

They could see:

- the questions people were asking  
- which sources were used in answers  
- where competitors showed up more often

That shifted how they thought about visibility.

> “The biggest unlock was seeing the actual answers and the sources behind them. It makes everything much more concrete.”  
>  — Ervin Hoxha, CEO of LanderLab

## Prompt data changes how you think about demand

Tracking real prompts immediately shifted their view of demand.

Instead of broad topics, they saw detailed, use-case-driven queries like:

- _“Which AI landing page tool is fastest for creating responsive pages without coding”_  
- _“Top AI landing page builders that generate pages from a single prompt for insurance offers”_

Very specific. Very practical. Close to a decision.

These weren’t outliers — they were common across the category.

## From insight to execution: a winning 3-step framework

Here’s how LanderLab used ZeroRank to build a winning AI visibility framework.

### 1. Building a content system around what gets cited

Looking at **Sources** inside ZeroRank, patterns started to repeat.

The same types of content showed up again and again:

- comparison-style pages  
- “best tools” lists  
- content built around clear use cases

This was also visible inside ZeroRank’s **Recommendations** tab, where content gaps and formats were clearly mapped.

> “It’s not just ideas. It’s very clear what kind of page is needed and why. That makes execution much faster.”  
>  — Ervin Hoxha, CEO of LanderLab

..and prioritization straightforward.

LanderLab used this as a blueprint. They built a system around what was already being used in answers.

With a mix of:

- their internal content team  
- ZeroRank’s AI-assisted **Content generation feature & templates**

they scaled to **~10 high-quality articles per month**, each tied to real prompts.

### 2. Expanding beyond their own site

Answers weren’t built from owned content alone.

ZeroRank surfaced recurring third-party sources:

- Reddit discussions  
- niche threads  
- smaller industry sites

LanderLab used this to:

- identify which discussions appeared in answers  
- understand what made them relevant  
- contribute where it made sense

### 3. Implementing technical improvements to support growth

They also worked through ZeroRank’s **Technical recommendations** to improve how their site is interpreted by AI systems.

This included:

- structured data  
- metadata and attribution  
- crawl and indexing signals

## From visibility to revenue impact

> “You start seeing your content show up across multiple queries, not just one. That’s when you know you’re actually influencing the outcome.”  
>  — Ervin Hoxha, CEO of LanderLab

As visibility increased, so did the quality of inbound.

LanderLab began capturing users who had already:

- compared tools  
- explored use cases  
- narrowed down options

This translated into:

- Higher-intent traffic  
- Increased trial signups  
- More qualified pipeline from AI-driven discovery

> “AI is becoming a real acquisition channel for us. We’re seeing more users come in already knowing what we do and why they need it.”  
> — CEO, LanderLab

## Takeaway

Once LanderLab could see how answers were built, execution became straightforward.

They used ZeroRank to:

- understand where they show up  
- identify which sources influence answers  
- turn those insights into content and distribution  
- execute consistently with a clear system

That’s what moved them into a top cited position in their category.

## Get similar results using ZeroRank

If you’re not part of AI answers, you’re not part of the evaluation set.

ZeroRank helps you see exactly where you stand in AI search and what to do next to improve your visibility and reach more customers.