How AI Search Is Recommending Credit Cards for Building Credit: Monthly Trends

Executive Summary

Chime leads AI recommendation coverage at 72.0% valid recommendation coverage, tied with OpenSky at 72.0%, with Self a distant third at 52.6%. Both leaders climbed sharply from their August 2026 levels, recovering nearly all the ground lost during that month's broad contraction.

The strongest upward mover was Self, which rose from a 43.6% valid recommendation coverage baseline in July 2026 to 52.6% in September 2026, a significant rise of 9.0 points. Against the immediately prior month, Self surged 29.1 points, from 23.5% in August 2026. Chime and OpenSky also posted significant month-over-month recoveries, each rising more than 33 points from August 2026, though both remain slightly below their July 2026 baseline levels.

The sharpest decliner was Applied Bank, whose valid recommendation coverage fell from 1.5% in July 2026 to 0.0% in September 2026, a significant decline of 1.5 points. Applied Bank registered zero valid recommendations in September 2026, down from 8 in July 2026. This is the second consecutive month of decline for the brand.

The category's leader structure returned to the tight top cluster seen in July 2026. Chime and OpenSky are tied at 72.0% valid recommendation coverage, with OpenSky posting the higher top-three rate (46.8% vs. 44.4%) and rank-one rate (31.8% vs. 8.8%) within that tie. The August 2026 contraction, which cut most brands' coverage by half or more, appears to have been a single-month interruption rather than the start of a sustained decline.

Each monthly benchmark run begins with 800 prompt-surface observations across the defined AI/search surface universe (676 unique questions in July 2026; 701 in August 2026; 689 in September 2026). All 800 prompts mentioned a tracked brand or competitor in each of the three months. Of those, 595 were relevant and 205 were irrelevant in July 2026, 563 relevant and 237 irrelevant in August 2026, and 560 relevant and 240 irrelevant in September 2026. The public metrics use the 534 qualified observations from July 2026, 486 from August 2026, and 500 from September 2026 that survive both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The qualification funnel narrowed modestly between the baseline and current month: total collected prompts held flat at 800, but the qualified set fell from 534 to 500. August 2026 was the narrowest month, with 486 qualified observations. These shifts in denominator size are part of the context for reading the brand-level percentages below.

Benchmark-Level Metrics

The August 2026 interruption is visible in the recommendation-shaped answer share, which fell to 18.9% that month before recovering to 55.6% in September 2026. That recovery signal, combined with the return of the top-tier coverage cluster, points to a category that has reverted to its July 2026 shape rather than entering a new equilibrium.

AI Recommendation Trend

Leadership returns to a two-brand cluster at the top, with category coverage largely restored

The September 2026 qualified set shows Chime and OpenSky tied at the top with 72.0% valid recommendation coverage each, a return to the near-tie configuration recorded in July 2026. Both brands recovered the coverage they lost in August 2026, though neither fully reached its July 2026 baseline. The category's shape is defined by this two-brand cluster at the top, followed by Self at a clear distance.

This month's movement did not come from one dominant shift. One brand, Self, registered a significant baseline-to-current rise. The remaining changes, including the declines at Applied Bank and the modest slippage across the middle tier, were a combination of several smaller movements. The largest month-over-month changes, at Chime and OpenSky, were recoveries from the August 2026 contraction rather than expansions beyond the July 2026 baseline.

What Changed This Month

Self: Significant riser in valid recommendation coverage

Self's valid recommendation coverage rose from a 43.6% baseline in July 2026 to 52.6% in September 2026, a significant rise of 9.0 points. Against the immediately prior month, Self surged 29.1 points from 23.5% in August 2026, the largest single-month move of any tracked brand between the prior and current month.

Self's raw mention presence rose from 48.3% in July 2026 to 60.4% in September 2026, a gain of 12.1 points. Its top-three recommendation rate rose from 24.0% to 32.2%. The rank-one rate moved modestly, from 3.6% to 4.0%, indicating the brand's rise was spread across the recommendation ladder rather than concentrated in top-spot placements.

Attribution to the shift in measured output matters here: Self now appears in more responses and is placed in the top three more often, but its single-placement share barely moved. The distinction is between a brand being a consistent presence and a brand being the single default answer.

Highest-priority diagnostic: Which prompt categories drove Self's gains in raw mention presence, and how many of those gains converted into top-three versus rank-one placements?

Chime: Leader rebounds to a tie at the top

Chime's valid recommendation coverage rose from 35.8% in August 2026 to 72.0% in September 2026, a significant gain of 36.2 points. Against the July 2026 baseline of 74.3%, Chime's coverage is down a non-significant 2.3 points. The challenge is on the next rung of the ladder: Chime's top-three rate fell from 53.0% in July 2026 to 44.4% in September 2026, a decline of 8.6 points against baseline, even as its coverage recovered at the overall level.

The rank-one rate held flat at 8.8% in both July and September 2026. The net sentiment score of 0.9 (out of 1.0) was unchanged across the series. Chime's rank-one holdings stabilized even as its top-three placement rate contracted, a pattern distinct from a broad loss of recommendation strength. The brand's top-three placement rate of 44.4% trails OpenSky's category-leading 46.8% on that metric.

Highest-priority diagnostic: Which surfaces kept Chime's rank-one share stable while its top-three rate declined against the July 2026 baseline?

OpenSky: Recovery in coverage, contraction in top-three placement

OpenSky's valid recommendation coverage rose from 38.5% in August 2026 to 72.0% in September 2026, a significant gain of 33.5 points. Against its July 2026 baseline of 74.5%, OpenSky is down 2.5 points, a change that does not exceed the movement threshold.

OpenSky's top-three recommendation rate fell from 56.5% in July 2026 to 46.8% in September 2026, a decline of 9.7 points against its baseline. The rank-one rate held at 31.8% in September 2026, essentially unchanged from 31.6% in July 2026. OpenSky's top-three rate remains the highest in the category at 46.8%, just above Chime's 44.4%.

The September 2026 result reflects a market where OpenSky converted its recovery into sustained coverage and rank-one presence, but with a larger share of placements in the middle of the top-three range relative to its July 2026 strength.

Highest-priority diagnostic: Which prompt types still place OpenSky at rank one at a 31.8% rate, and which responses moved it from the top of the list into the second or third position?

Applied Bank: Significant decliner for a second consecutive month

Applied Bank's valid recommendation coverage fell from 1.5% in July 2026 to 0.0% in September 2026, a significant decline of 1.5 points. Against August 2026, where it had 1.0% coverage from 5 valid recommendations, Applied Bank dropped a further 1.0 point. September 2026 is the second consecutive month of decline for the brand.

Applied Bank registered zero valid recommendations in September 2026, down from 8 in July 2026. Its raw mention presence fell from 2.4% in July 2026 to 0.2% in September 2026, a significant decline of 2.2 points. The relevant counts are small enough (1 mention in September 2026 out of 500 observations) that the movement should be read with caution. The brand remains present in the platform universe but barely surfaced in the qualified set.

Highest-priority diagnostic: Whether Applied Bank's disappearance reflects a genuine loss of AI surface presence or the narrowness of the September 2026 question set that no longer elicits it.

Navy Federal Credit Union and Discover Home Loans: Recovery in presence, stable coverage

Navy Federal Credit Union's coverage rose from 6.8% in August 2026 to 11.0% in September 2026, a significant gain of 4.2 points, and sits just below its July 2026 baseline of 11.8%. The brand's raw mention presence rose to 22.8% in September 2026, above its July 2026 level of 20.2%. Its rank-one rate rose from 0.9% in July 2026 to 2.2% in September 2026, a gain that did not reach the significance threshold.

Discover Home Loans recovered from 2.1% coverage in August 2026 to 3.4% in September 2026, still below its July 2026 level of 4.5%. Its valid recommendation count of 17 in September 2026 is up from 10 in August 2026.

Highest-priority diagnostic: Whether Navy Federal's net sentiment score of 0.6 in September 2026, down from 0.7 in July 2026, reflects a shift in framing that the coverage figures alone do not capture.

First Latitude: Small-count recovery

First Latitude had 2 valid recommendations in July 2026 (0.4% coverage), zero in August 2026, and 3 in September 2026 (0.6% coverage). The counts involved are small enough that the movement should be read with caution rather than as a firm trend. The brand's raw mention presence in September 2026 was 0.6%, from 3 mentions across 500 observations.

Highest-priority diagnostic: Whether First Latitude's returns are tied to specific remaining prompt categories or to the broader recovery of the September 2026 question set.

Buyer-Intent Interpretation

In September 2026, all 500 qualified observations fell into the Brand Recommendation cluster, with none in the Pricing & Value or Multi-Brand Comparison clusters. The public benchmark therefore measures which brands AI systems name when recommending a credit card for building credit, but it does not yet capture price sensitivity, fee comparison, or head-to-head preference questions. Those commercial questions require a deeper, prompt-level analysis than the public benchmark provides.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why these patterns emerged.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

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

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: Applied Bank (0 valid recommendations) and First Latitude (3 valid recommendations) have very small counts. Their percentage movements, while falling outside normal variation for Applied Bank, rest on a small number of observations and should be read with that limitation in mind.
• Qualified denominator vs raw collection: The public metrics use 500 qualified observations in September 2026, a subset of the 800 prompts collected, down from 534 qualified in July 2026. The August 2026 interruption (486 qualified) affects direct month-to-month comparability.
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

Beneath the aggregate percentages sit unanswered questions: which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The public benchmark shows that Chime and OpenSky regained their top-tier positions in September 2026 and that Self rose significantly, but it does not explain why the top-three and rank-one patterns diverged from the overall coverage recovery.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That analysis turns the benchmark's findings into a concrete action plan for reclaiming or defending AI recommendation share.

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