Credit Help Services: AI Visibility Market Discovery Index

Tracking how AI platforms recommend credit help services. This public AI Visibility Market Discovery Index is updated monthly since July 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
6 minutes read

Benchmark Summary

Credit Saint led the September 2026 benchmark with 74.7% valid recommendation coverage, ahead of Sky Blue Credit at 68.1% in second place, a gap of 6.6 percentage points. No brand recorded a significant month-over-month movement in September 2026; the largest coverage increase was Credit Saint, rising 5.3 points from 69.4% in August 2026, and the largest coverage decline was Lexington Law, falling 4.9 points to 17.2% in September 2026 from 22.1% in August 2026. Both movements stayed within normal month-to-month variation.

Looking across the full series, the category saw a broad pullback from the July 2026 baseline. Credit Saint declined from 81.5% in July 2026 to 74.7% in September 2026, Sky Blue Credit moved from 76.2% to 68.1%, and Lexington Law fell from 28.2% to 17.2%, declining in each of the two months since July 2026. The benchmark began with 800 prompt-surface observations in each month and produced 273 qualified observations in September 2026 after qualification, up from 271 in August 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026
  • Credit Saint74.7%
  • Sky Blue Credit68.1%
  • The Credit Pros35.2%
  • Lexington Law17.2%
  • CreditRepair.com6.6%
  • Self2.9%
  • Ovation Credit Services0.4%

Current Benchmark at a Glance

Measure

Jul 2026

Sep 2026

Movement

Qualified benchmark observations

298

273

Down 25

Tracked brands

7

7

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

49.0%

45.4%

Down 3.6 points

Valid recommendation shortlist share

83.2%

76.6%

Down 6.6 points

Leader by valid recommendation coverage

Credit Saint

Credit Saint

No change

Qualified surface breadth counts the canonical AI/search surface families (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode) with at least one qualified observation in the month. Both months recorded breadth of six, meaning all six families were represented. August 2026 recorded an intermediate recommendation shortlist share of 70.8%, below both the July and September values.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Credit Help Services

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The funnel shows how observations moved from raw collection to the qualified public denominator.

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations

800

800

Total prompts collected across surfaces

Unique questions

499

515

Distinct questions represented

Brand / competitor mentions

800

800

Prompts mentioning at least one brand

Relevant observations

426

457

On-topic observations

Irrelevant observations

374

343

Off-topic observations

Qualified benchmark observations

298

273

Public denominator

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Visibility Market Discovery Methodology

Current Brand Standings

This table is the primary current-month benchmark view.

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Credit Saint

91.2%

74.7%

69.2%

59.7%

0.8

Sky Blue Credit

84.6%

68.1%

51.3%

1.5%

0.8

The Credit Pros

38.8%

35.2%

16.9%

0.0%

0.9

Lexington Law

38.8%

17.2%

9.2%

0.7%

0.2

CreditRepair.com

19.8%

6.6%

4.0%

0.0%

0.0

Self

5.9%

2.9%

1.5%

0.4%

0.5

Ovation Credit Services

0.4%

0.4%

0.4%

0.0%

1.0

How to Read the Standings

  • Presence rate: share of qualified observations where the brand is mentioned at all.
  • Valid recommendation coverage: share of qualified observations where the brand appears in a valid recommendation shortlist, the primary metric.
  • Top-three rate: share of qualified observations where the brand appears in the first three recommendation positions.
  • Rank-one rate: share of qualified observations where the brand is the first recommendation.
  • Net sentiment: positive mentions minus negative mentions, divided by total mentions, on a scale from -1 to 1.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Brand

Jul 2026

Sep 2026

Movement since baseline

Credit Saint

81.5%

74.7%

Down 6.8 points

Sky Blue Credit

76.2%

68.1%

Down 8.1 points

The Credit Pros

41.6%

35.2%

Down 6.4 points

Lexington Law

28.2%

17.2%

Down 11.0 points

CreditRepair.com

6.4%

6.6%

Up 0.2 points

Self

3.4%

2.9%

Down 0.5 points

Ovation Credit Services

0.7%

0.4%

Down 0.3 points

Both Credit Saint and Sky Blue Credit moved up in September 2026 versus August 2026, though neither gain surpassed normal month-to-month variation. The Credit Pros also edged up 1.2 points from August 2026 to September 2026.

Largest Decline: Lexington Law

Lexington Law recorded the largest coverage decline from baseline, falling 11.0 points to 17.2%. The brand declined in each of the two months since the July baseline. Presence rate dropped 8.5 points to 38.8%, and top-three rate fell 8.9 points to 9.2%. Lexington Law was present in 106 of 273 qualified observations in September 2026, with 47 valid recommendations.

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

Largest Decline: Credit Saint

Credit Saint declined 6.8 points from 81.5% in July 2026 to 74.7% in September 2026, beyond normal variation, though the brand recovered 5.3 points in September 2026 from 69.4% in August 2026. Its top-three rate fell 10.0 points to 69.2%, and its rank-one rate dropped 11.4 points to 59.7%. Credit Saint was present in 249 of 273 qualified observations, with 204 valid recommendations.

Largest Decline: Sky Blue Credit

Sky Blue Credit declined 8.1 points from 76.2% in July 2026 to 68.1% in September 2026, beyond normal variation. Top-three rate fell 9.4 points to 51.3%, while presence rate moved 4.3 points to 84.6%, within normal variation. Sky Blue Credit was present in 231 of 273 qualified observations, with 186 valid recommendations. In September 2026, the brand rose 5.0 points from its August 2026 level of 63.1%.

Category Leader: Credit Saint

Credit Saint held the top position with 74.7% valid recommendation coverage in September 2026. The gap to second-place Sky Blue Credit widened to 6.6 points in September 2026, up from 5.3 points in July 2026, when Credit Saint led at 81.5% against 76.2%. Its rank-one rate of 59.7% remained the strongest in the category.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The leading brands show contrasting placement profiles in September 2026, with Credit Saint dominating first-position recommendations while Sky Blue Credit appears frequently but lower in the list.

Brand

Sep 2026 top-three rate

Sep 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

Credit Saint

69.2%

59.7%

79.2%

71.1%

Sky Blue Credit

51.3%

1.5%

60.7%

2.7%

The Credit Pros

16.9%

0.0%

23.8%

0.7%

Close coverage can still hide very different first-position rates. Credit Saint and Sky Blue Credit ended September 2026 within 6.6 points of each other on coverage, yet Credit Saint held first position in 59.7% of qualified observations against 1.5% for Sky Blue Credit.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class, which covers discovery and consideration queries.

Buyer-intent class

Jul 2026

Sep 2026

Brand Recommendation

298

273

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

298

273

The current public series measures brand recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

298

Credit Saint

81.5%

Baseline month

Aug 2026

271

Credit Saint

69.4%

Sky Blue Credit, down 13.1 points

Sep 2026

273

Credit Saint

74.7%

Lexington Law, down 11.0 points since baseline

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. Movements reflect changes in what AI systems surfaced during the measurement period.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how AI search and assistant surfaces recommend brands across verticals, using a consistent, audited methodology. The benchmark records changes in brand presence, recommendation coverage, placement, and sentiment month over month.

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

Get my free AI Company Index

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.