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Case Study

SaaS SEO Case Study – Debt Collection Software Company Increased Organic Traffic by 167% and
MQLs by 111%

We helped a debt collection software company to reverse a downward traffic trend and double their organic traffic within 8 months.

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Client Overview

Our client is a global provider of enterprise collections and recovery software used by banks, credit unions, and financial institutions to manage debt recovery workflows at scale. Their platform enables organisations to automate collections strategies, improve recovery rates, and maintain compliance across complex financial environments.

As a long-standing client of Nine Peaks Media, the company had already established a strong presence in traditional search. The next strategic objective was to expand their visibility within AI-generated search environments, where enterprise buyers are increasingly discovering and evaluating software platforms.

The Challenge

Although the company ranked well in conventional search results, their visibility across AI-generated answers was limited. Competitors were appearing more frequently in responses generated by systems such as ChatGPT, Perplexity, and Google AI Overviews when users searched for enterprise collections software or debt recovery platforms.

AI search systems increasingly rely on trusted sources, structured explanations, and citation-ready content when generating answers. Without optimization for these environments, even well-established companies can be overlooked.

The goal was therefore to increase how often the company appeared in AI-generated responses for prompts related to debt collection software, recovery analytics platforms, and enterprise collections management solutions.

Implementation Scope & Timeline

Nine Peaks Media implemented a focused AI Search Optimisation strategy over a 30-day period, targeting high-value discovery queries across AI-driven search environments.

The implementation included:

  • 40 industry listicle and citation opportunities identified and targeted
  • 15–20 AI-optimised blog content pieces created or refined
  • 6–10 structured FAQ sections deployed across key product and solution pages
  • Authority signals reinforced through targeted placements in Fintech, SaaS publications and directories. 

This structured rollout enabled rapid improvements in AI visibility while simultaneously building long-term authority signals that support sustained citation growth.

The Strategy

Nine Peaks Media implemented a structured AI Search Optimisation (AIO) strategy designed to increase the company’s presence in AI-generated answers.

The strategy focused on five core pillars.

AI Citation Opportunity Mapping

We analysed where AI systems were currently sourcing information when answering prompts related to collections software. This revealed that AI engines frequently referenced industry listicles, comparison articles, and educational resources.

We identified dozens of high-value citation opportunities across these sources, including pages targeting queries such as:

  • Best enterprise debt collection software
  • Top accounts receivable automation platforms
  • AI-powered collections systems for banks
  • Debt recovery analytics platforms

By targeting these citation sources, we increased the likelihood that AI engines would reference the company when generating answers.

Listicle and Authority Placement Strategy

Nine Peaks Media identified approximately 40 industry listicle opportunities where the platform could be referenced as a leading solution.

These included:

  • Software comparison guides
  • “Top X” industry resource pages
  • Fintech solution directories
  • SaaS recommendation lists

By securing placements and optimising content around these references, we strengthened the signals AI models rely on when selecting authoritative solutions.

AI-Optimised Educational Content

AI engines frequently cite educational articles that clearly explain industry topics.

To capture these citations, we developed blog content addressing questions and themes commonly referenced in AI responses. Example topics included:

  • Important Debt Collection KPIs to Track
  • Ways AI is Transforming Debt Collection Workflows
  • How AI Improves Recovery Rates for Financial Institutions

These articles were structured to provide clear, extractable explanations, making them more likely to be quoted or referenced by AI systems.

Structured FAQ Answer Blocks

AI models often extract answers from clear question-and-answer sections on websites.

Nine Peaks Media therefore expanded structured FAQ content across key product pages.

These FAQs addressed questions commonly asked by enterprise buyers, such as:

  • Is the system suitable for managing accounts of different sizes and industries?
  • Does the platform comply with FDCPA and other regulatory standards?
  • Can the system integrate with existing CRM and financial platforms?
  • Does the platform support omnichannel communication with debtors?

By providing detailed answers in structured formats, we increased the likelihood that AI engines would extract and cite information from the website.

Authority Reinforcement Through Strategic Links

To reinforce the authority of key pages, we implemented a targeted link acquisition strategy focused on fintech and SaaS industry publications.

This helped strengthen topical authority around debt collection software and enterprise recovery systems, which further supports AI citation selection.

AI Prompt Coverage

Nine Peaks Media tracked visibility across a set of prompts designed to reflect how enterprise buyers research collections platforms within AI systems such as ChatGPT, Perplexity, and Google AI Overviews.

Examples of prompts monitored included:

  • Top AI-native debt recovery analytics platforms for large lenders
  • Best enterprise debt collection software for banks with end-to-end recovery workflows
  • Recommend a collections and recovery management platform for a national bank
  • AI-powered collection software with self-service bots
  • Collection and recovery software with enterprise decisioning capabilities

By optimising content and authority signals around these query types, the platform began appearing consistently in AI-generated responses. Within 30 days, the solution ranked within the top two referenced platforms for several high-value prompts, strengthening its visibility in AI-driven research journeys used by enterprise buyers.

The Results

Within 30 days of implementation, the platform experienced measurable growth across AI-generated search environments.

Key results included:

  • AI Visibility Score
    36.2% across tracked prompts
  • AI Visibility Rank
    #2 among key competitors
  • Share of Voice
    6.4% of AI-generated responses
  • Citation Share
    3.9% of total AI references
  • Total AI Citations
    499 references across AI-generated answers

This represents a 165% increase in AI citation frequency, with the platform now consistently appearing across high-value enterprise software discovery prompts.

Across key prompts such as:

  • Best enterprise debt collection software for banks
  • AI-native debt recovery analytics platforms
  • Collections and recovery management platforms for financial institutions

the platform consistently ranked within the top two solutions referenced by AI engines.

Impact

As a result of improved AI visibility, the platform strengthened its presence in early-stage buyer research, where enterprise decision-makers increasingly rely on AI-generated recommendations to evaluate software solutions.

This increased visibility positions the company more effectively within AI-driven procurement journeys, improving the likelihood of being shortlisted during vendor evaluation and consideration phases.

Key Takeaways

This campaign demonstrated how companies can significantly improve their visibility within AI-generated search environments by optimising content and authority signals specifically for AI systems.

By combining listicle placement, educational content development, structured FAQs, and authority reinforcement, Nine Peaks Media helped position the platform as a trusted source within AI-generated responses related to debt collection software and recovery analytics platforms.

As AI-driven search continues to reshape how enterprise buyers research technology solutions, strategies like this ensure that leading software providers remain visible in the answers that decision-makers rely on.

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