AI Search Case Study: 440% Visibility Increase In Just 6 Weeks [LanderLab]
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.
When LanderLab, 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.
Filed under Case Studies
Head of content and operations. On a mission to make ZeroRank the go-to platform for AI search visibility.
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