The Client

Churn Buster is a subscription payment recovery platform used by SaaS and ecommerce companies to reduce involuntary churn and reclaim failed payments with powerful, automated dunning campaigns.

Their platform replaces generic billing retries with intelligent outreach sequences that include email, SMS, in-app messaging, and support escalation. These workflows are designed to recover revenue that would otherwise be lost. Trusted by high-volume brands, Churn Buster provides deep decline-insight analytics, adaptive campaigns, and high-performance recovery automation.

Although well known inside the SaaS ecosystem, Churn Buster was not consistently visible in AI search results, especially inside ChatGPT, for their highest value buyer intent prompts.

The Challenge

When we began working with Churn Buster, the product already had strong reputation, proven outcomes, and a clear position in the market.

Inside AI search, however, they were not appearing reliably.

Across high intent prompts such as:

• “Dunning software”

• “Best dunning software tools”

• “Best stripe dunning software”

• “Best shopify dunning software”

Churn Buster either did not show up, appeared inconsistently, or was replaced by competitors with weaker products but stronger structured content.

The core issue was simple. LLMs do not guess. They surface brands based on the structured sources they are able to parse, trust, and cite.

Churn Buster had the product leadership. They had customer outcomes. What they did not yet have was an LLM-friendly content ecosystem that models could detect and rely on during vendor evaluation.

Our objective was clear. We wanted to engineer Churn Buster’s presence inside ChatGPT and other AI search environments for their most important bottom-of-funnel prompts, and achieve this as quickly as possible.

The Solution

From the start, the strategy was built around one principle. We wanted to make Churn Buster the default vendor recommendation inside AI-driven tool evaluations.

To do this, we focused on a two-phased approach.

Phase 1: Build LLM-Optimized Content That Models Can Parse

The strongest lever for AI search visibility across all SaaS clients is the same:

High-quality, highly structured listicles.

Listicles work because:

• They are extremely easy for LLMs to interpret

• They match the structure of evaluation-style prompts

• They consistently attract backlinks

• They perform well in traditional Google search

• They give models a clean hierarchy and formatting to cite directly

We built listicles explicitly designed for LLM visibility and buyer conversion.

Each listicle followed a consistent blueprint.

1. A strong, pain-driven opening

We started with the real problem: involuntary churn, failed payments, lost revenue, and the limitations of basic retry systems.

2. Clear number one positioning for Churn Buster

We made the first listing a true conversion asset that included:

• Feature differentiation

• Specific use cases

• A short proof or mini customer example

• Pricing signals

• Recovery performance advantages

3. Comparison frameworks that models prefer

These included:

• Ratings

• Ideal use cases

• Integration lists

• Short, skimmable summaries for every tool

4. Consistent, simple, skim-friendly formatting

Short paragraphs, clean bullets, and identical structure across items.

5. Freshness signals

We added publish dates, updated dates, and YMYL-friendly metadata that models detect as recency cues.

This provided models with exactly the type of content they reliably surface.

The result came quickly. Churn Buster began appearing inside ChatGPT for multiple high intent prompts within 72 hours.

Here’s our guide on how to build software listicles that not only rank, but drive demos and trials.

Phase 2: Build the Citations and Links That Increase Visibility

Once early LLM traction was confirmed, we shifted to strengthening authority signals.

This included a structured backlink and citation plan:

1. Outreach to high-authority websites that LLMs already cite

These placements help models reinforce confidence in the brand.

2. Inclusion in listicles that already appear inside ChatGPT results

Instead of waiting for models to find us, we inserted Churn Buster into sources they were already quoting.

3. Acquisition of clean, high-DR backlinks

These are affordable, safe, and highly visible across the model crawl ecosystem.

4. Direct link support to the priority listicles

Every link pointed to the same core assets that drive LLM rankings.

This creates compounding reinforcement and helps increase Churn Buster’s visibility across evaluative prompts. This strategy will lift their results from approximately 37 percent to 70 percent or more over the next 30 to 60 days.

Most companies hope LLMs will surface their brand eventually. Our approach is different. Instead of waiting, we intentionally create the structured content and authority signals that models rely on.

The Results

The outcomes were immediate and measurable.

1. Visibility inside AI search within 72 hours

Churn Buster began appearing in ChatGPT for core BOFU search terms within three days of publishing the content.

The reporting screenshots show:

• Presence beginning on November 15

• Consistent presence and improved sentiment by November 19

• Expanding citations and competitor coverage

This is the earliest stage of LLM visibility before compounding improvements take hold.

2. Consistent rankings for high intent prompts

Churn Buster is now surfaced directly inside ChatGPT responses for:

• Best dunning software

• Best payment recovery tools

• Best subscription recovery tools

These prompts represent direct evaluation and vendor comparison behavior.

No only ChatGPT and other AI search engines, but we’re also cracking page #1 Google positions already in the first few days of launch:

3. A stable foundation for long-term LLM visibility

The structured content and citation ecosystem is already being indexed and referenced. As additional citations accumulate, this visibility will expand even faster.

4. A clear path to more than 70 percent visibility

The next 30 to 60 days will include:

• Additional high-authority placements

• More category listicle inclusions

• Continued link support

• Regular content refreshes

Together, these actions create predictable, compounding visibility in AI search.

AI-driven vendor evaluation is already reshaping how software buyers form their shortlists. Traditional SEO remains important, but LLM visibility now plays a central role in discovery and conversion.

The encouraging part is that LLM visibility can be influenced directly. You can create the structured content models prefer. You can earn citations from the sources they trust. You can shape when and where your brand appears inside AI-driven search.

Working with Churn Buster has been incredibly rewarding, and this early surge in visibility is only the beginning. The foundation is built. The acceleration has started.

Now we are focused on helping Churn Buster become the default recommendation across all major LLMs.