CiteWorks Studio

How AI Search Is Recommending Debt Collection Agencies: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • IC System and Transworld Systems tied for the September 2026 lead at 19.2% valid recommendation coverage.
  • IC System held the benchmark lead because it earned 4 rank-one recommendations, while Transworld Systems had none.
  • Transworld Systems posted the largest July-to-September gain, rising 14.9 points from 4.3% to 19.2%.
  • Qualified observations fell from 47 in July to 26 in September, making current-month percentages more sensitive to single placements.

Executive Summary

IC System and Transworld Systems are tied for the lead in Debt Collection Agencies in September 2026, each recording 19.2% valid recommendation coverage. Both brands rose from 12.1% in August 2026, extending two-month upward streaks. IC System holds the benchmark's leader designation on the strength of 4 rank-one recommendations in September 2026, while Transworld Systems recorded none. The category is classified as quiet, with none of the ten tracked brands recording a movement large enough to be flagged as significant this month.

The baseline-to-current story favors Transworld Systems, which climbed from 4.3% in July 2026 to 19.2% in September 2026, a 14.9-point increase — the largest gain among the ten tracked brands. IC System rose from 6.4% to 19.2% over the same span, a 12.8-point increase. Portfolio Recovery Associates also gained, though from a smaller base, rising from 2.1% in July 2026 to 3.9% in September 2026. Six brands — Allied Interstate, ConServe, Convergent Outsourcing, Frost-Arnett, Nationwide Credit, and NCB Management Services — continued to record no valid recommendation coverage.

The gap between Transworld Systems and each of Allied Interstate, ConServe, and Convergent Outsourcing widened in every month of the series, from 4.3 points in July 2026 to 12.1 points in August 2026 to 19.2 points in September 2026.

Research scope: Each monthly run begins with 800 prompt-surface observations (697 unique questions in September 2026; 704 in August 2026; 691 in July 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 96 were relevant and 704 were irrelevant in September 2026 (86 relevant and 714 irrelevant in August 2026; 103 relevant and 697 irrelevant in July 2026). The public metrics use the 26 qualified observations in September 2026, 33 in August 2026, and 47 in July 2026 that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%5%10%15%20%Jul 2026Aug 2026Sep 2026
  • IC System19.2%
  • Transworld Systems19.2%
  • Midland Credit Management7.7%
  • Portfolio Recovery Associates3.9%
  • Allied Interstate0.0%
  • ConServe0.0%
  • Convergent Outsourcing0.0%
  • Frost-Arnett0.0%
  • Nationwide Credit0.0%
  • NCB Management Services0.0%

Key Findings

Signal

September 2026 finding

Category leaders (tied)

IC System and Transworld Systems, each at 19.2% valid recommendation coverage

Leader differentiator

IC System recorded 4 rank-one recommendations; Transworld Systems recorded none

Largest baseline-to-current gain

Transworld Systems, up 14.9 points from 4.3% in July 2026

Rank-one coverage

IC System at 15.4%, the only tracked brand with rank-one placements this month

Month classification

Quiet; all ten tracked brands classified as stable

Benchmark Context

The qualified observation count has declined in each of the three months, from 47 in July 2026 to 33 in August 2026 to 26 in September 2026. The 26 qualified observations in September 2026 form the smallest denominator in the series, which makes the month's percentages more sensitive to single placements. Qualified surface breadth expanded from 2 families in July 2026 to 5 in September 2026.

Benchmark-Level Metrics

Metric

Jul 2026

Sep 2026

Change

Qualified observations

47

26

Down 21

Companies tracked

10

10

Flat

Recommendation-shaped answer share

8.5%

19.2%

Up 10.7 points

Valid recommendation shortlist share

6.4%

23.1%

Up 16.7 points

Category leaders by coverage

IC System (6.4%)

IC System & Transworld Systems, tied (19.2%)

Up 12.8 points (IC System) / Up 14.9 points (Transworld Systems)

The valid recommendation shortlist share rose more sharply between August 2026 and September 2026, from 15.2% to 23.1%, even as the qualified observation count fell from 33 to 26. The share metrics have trended upward across all three months while the underlying denominator has shrunk.

AI Recommendation Trend

IC System and Transworld Systems Share the Lead After Consecutive Gains

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

IC System

6.4%

19.2%

Up 12.8 points

1st (tie)

Transworld Systems

4.3%

19.2%

Up 14.9 points

1st (tie)

Midland Credit Management

2.1%

7.7%

Up 5.6 points

3rd

Portfolio Recovery Associates

2.1%

3.9%

Up 1.8 points

4th

Allied Interstate

0.0%

0.0%

Flat

5th (tie)

ConServe

0.0%

0.0%

Flat

5th (tie)

Convergent Outsourcing

0.0%

0.0%

Flat

5th (tie)

Frost-Arnett

0.0%

0.0%

Flat

5th (tie)

Nationwide Credit

0.0%

0.0%

Flat

5th (tie)

NCB Management Services

0.0%

0.0%

Flat

5th (tie)

No brand's movement since July 2026 was large enough to be flagged as significant, so the category is classified as quiet even though the top of the table changed materially in cumulative terms. IC System and Transworld Systems both extended two-month upward streaks, with Midland Credit Management and Portfolio Recovery Associates also recording smaller consecutive gains. IC System's 4 rank-one recommendations against Transworld Systems' zero is the factor separating the two brands at an identical coverage rate.

What Changed This Month

IC System Extended Its Lead With a Third Consecutive Coverage Gain

IC System recorded 19.2% valid recommendation coverage in September 2026, up from 6.4% in July 2026. The brand rose from 12.1% in August 2026, an increase of 7.1 points in the immediate prior-to-current comparison. IC System has now registered upward coverage movement in every month of the three-month series.

The brand earned 5 valid recommendations across 26 qualified observations in September 2026, up from 4 of 33 in August 2026. Its top-three rate reached 19.2%, its rank-one rate reached 15.4% (4 rank-one placements), and net sentiment rose from 0.5 in August 2026 to 0.7 in September 2026.

The distinction to notice: IC System's raw mention presence fell from 42.4% in August 2026 to 38.5% in September 2026, while its recommendation coverage and rank-one rate both rose. The brand is converting a smaller presence base into a larger share of recommendation credit.

Highest-priority diagnostic: Which question patterns produce the rank-one placements, and whether they concentrate within a single AI surface or spread across the expanded five-surface set.

Transworld Systems Matched the Category Lead on the Largest Baseline-to-Current Gain

Transworld Systems tied for the category lead at 19.2% valid recommendation coverage in September 2026, up from 4.3% in July 2026 and from 12.1% in August 2026. The baseline-to-current increase of 14.9 points is the largest among the ten tracked brands.

The brand's raw mention presence rose from 30.3% in August 2026 to 50.0% in September 2026, up from 19.1% in July 2026. Transworld Systems earned 5 valid recommendations across 26 qualified observations in September 2026, up from 4 of 33 in August 2026. Net sentiment rose from 0.5 to 0.6.

The distinction to notice: Transworld Systems' presence and recommendation coverage rose together, with the brand appearing in half of all qualified observations and converting that presence into a top-three placement share matching IC System. Unlike IC System, however, Transworld Systems recorded no rank-one recommendations at 0.0%.

Highest-priority diagnostic: Which answer patterns place Transworld Systems in top-three positions without rank-one placement, and which brand takes the top recommendation when Transworld Systems appears.

Midland Credit Management Extended Its Gain From the Highest Presence Base

Midland Credit Management recorded 7.7% valid recommendation coverage in September 2026, up from 2.1% in July 2026 and from 6.1% in August 2026. The brand held 2 valid recommendations across 26 qualified observations, the same count as August 2026 on a smaller denominator, plus 2 top-three placements.

The brand's raw mention presence of 53.8% in September 2026 remains among the highest in the category, though down from 60.6% in August 2026 and 63.8% in July 2026. Net sentiment rose from 0.3 in August 2026 to 0.4 in September 2026. No rank-one recommendations were recorded in any month of the series.

The distinction to notice: Midland Credit Management holds the highest or near-highest raw presence in the category across all three months but converts that presence into recommendation credit at a lower rate than the two co-leaders.

Highest-priority diagnostic: What separates the brand's consistently high mention rate from its lower recommendation conversion, and which answer patterns favor IC System and Transworld Systems instead.

Portfolio Recovery Associates Held a Modest Gain as Presence Fell Sharply

Portfolio Recovery Associates recorded 3.9% valid recommendation coverage in September 2026, up from 2.1% in July 2026 and from 3.0% in August 2026. The brand held 1 valid recommendation across 26 qualified observations in September 2026, the same count as August 2026 on a smaller denominator.

Raw mention presence fell from 57.6% in August 2026 to 34.6% in September 2026, and from 61.7% in July 2026. The brand's top-three rate dropped to 0.0% in September 2026, while its single valid recommendation appeared at an average rank of 5. Net sentiment held near 0.2 across August 2026 and September 2026.

The distinction to notice: Portfolio Recovery Associates lost nearly half of its raw presence while its coverage rate held, leaving the brand present in fewer answers but still recommended in one. The declining presence base makes the coverage figure more fragile in future months.

Highest-priority diagnostic: Which competing brands appear in recommendations when Portfolio Recovery Associates is present but not selected, and what attributes the AI associates with those alternatives.

ConServe's Presence Fell Sharply on a Smaller Qualified Set

ConServe recorded 0.0% valid recommendation coverage in September 2026, unchanged from July 2026 and August 2026. The brand's raw mention presence fell from 17.0% in July 2026 to 3.9% in September 2026, representing 1 mention across 26 qualified observations.

The brand's absolute presence declined from 8 mentions across 47 observations in July 2026 to 4 of 33 in August 2026 and 1 of 26 in September 2026. All mentions were recorded with neutral sentiment in each month, with no negative or positive placements.

The distinction to notice: the qualified observation count fell across all three months while ConServe's presence fell faster than the denominator, meaning the brand is appearing in a shrinking share of a shrinking set.

Highest-priority diagnostic: Which question types still surface ConServe in any form, and whether the decline reflects question mix or answer composition changes on the expanded surface set.

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

AI answers that recommend a specific agency

Which agencies earn the recommendation credit and at what rank

Pricing & Value

AI answers addressing cost, fees, or value

Which agencies are mentioned in pricing discussions and with what sentiment

Multi-Brand Comparison

AI answers comparing multiple agencies

Which agencies appear together in comparative answers

All qualified observations in September 2026 fell into the Brand Recommendation cluster, with 26 observations. This continues the pattern from July 2026 and August 2026, where every qualified observation also fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters in any month of the series. The public benchmark can therefore speak to which agencies AI systems recommend, but it cannot yet answer price, value, or head-to-head comparison questions, even as the surface set expanded to five families.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

IC System

19.2%

Co-leader with 4 rank-one recommendations

Which prompts drive rank-one placements and whether they generalize across surfaces

Transworld Systems

19.2%

Co-leader with no rank-one placements

What separates top-three placement from rank-one recommendation

Midland Credit Management

7.7%

Highest presence base with modest conversion

What distinguishes high-presence answers from recommendation answers

Portfolio Recovery Associates

3.9%

Coverage held as presence fell sharply

Which competitor takes the recommendation when this brand loses

Allied Interstate

0.0%

Single neutral mention, no recommendation

Whether the mention appears in any broader answer context

ConServe

0.0%

Presence fell from 8 to 1 mention

Which question types still surface the brand in any form

Convergent Outsourcing

0.0%

Presence held at 2 neutral mentions

Whether the remaining mentions reflect question mix shifts

Frost-Arnett

0.0%

No presence in any month

Whether the brand appears in any raw collection observations

Nationwide Credit

0.0%

No presence in September 2026

Which question surfaced the brand in earlier months and why it stopped

NCB Management Services

0.0%

No presence in any month

Whether the brand appears in any raw collection observations

The benchmark identifies where attention is warranted based on recommendation coverage and month-over-month change; a company-level analysis is needed to explain why those patterns exist and what drives them.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations that capture the query, the AI surface, the recommendation outcome, the rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt patterns, competitor dynamics, surface behavior, and evidence sources to explain the patterns described in this report. Source presence in an AI answer is not automatically treated as proof of causation or endorsement.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

Report-Specific Interpretation Notes

  • The qualified observation count decreased from 47 in July 2026 to 26 in September 2026, so current-month percentages reflect a materially smaller denominator than the baseline month.
  • Raw collection volume was 800 prompts in all three months; the funnel from raw collection to qualified analysis set is the basis for all public figures.
  • The qualified surface breadth expanded from 2 to 5 AI surface families across the series, which changes the mix of answers captured.
  • Movement between months identifies patterns worth investigating; it does not by itself establish the cause of those patterns.
  • Brands with zero coverage across the series may still appear in the raw collection; their absence from the qualified set is the finding.
  • Small counts in a niche vertical are valid observations, not noise to be discarded.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report sit on top of specific questions: which high-intent prompts a brand wins or loses, which competitor takes the recommendation when a brand is not selected, what attributes AI systems associate with each agency, and which external sources shape those answers. The benchmark identifies the pattern, but it does not reveal the mechanisms behind it.

A company-specific AI visibility audit maps prompt patterns, surface dynamics, competitor positioning, ranking behavior, sentiment, and evidence source influence into a prioritized visibility strategy. That analysis converts the benchmark signals into actionable answers for the questions that matter to each brand.

Request an AI visibility audit

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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