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

Executive Summary

Capital One is the new coverage leader in October 2026 at 86.7% valid recommendation coverage, a significant rise of 86.7 points from its July 2026 baseline of 0.0% and a brand-new entrant to the qualified set. OpenSky follows at 78.9%, up 4.4 points from 74.5% in July 2026, and Chime sits third at 62.3%, down 12.0 points from 74.3% in July 2026. The gap from Capital One to OpenSky is 7.8 points; the gap from OpenSky to Chime is 16.6 points.

The strongest upward mover by baseline-to-current movement is Capital One, which entered the qualified set this month at 86.7% coverage with a top-three rate of 83.7% and a rank-one rate of 36.6%, the highest in the category. Against the immediately prior month, Capital One rose 86.7 points from zero. OpenSky posted a second consecutive monthly gain, up 6.9 points from September 2026, the only brand with a multi-month upward streak in the series.

The sharpest decliner is Chime, which fell 12.0 points from 74.3% in July 2026 to 62.3% in October 2026, a significant decline against baseline. Against September 2026, Chime lost 9.7 points, also significant, reversing the gain the brand posted between August 2026 and September 2026. Applied Bank, Capital One Auto Finance, Discover Home Loans, Navy Federal Credit Union, and Self also registered significant baseline-to-current declines. Capital One Auto Finance and Discover Home Loans left the qualified set entirely, both at 0.0% coverage in October 2026.

The category is best described as repositioned rather than contracted. OpenSky held its leadership posture, Capital One entered at the top, and the brands that carried the July 2026 cluster (Chime, Self, Navy Federal Credit Union) each lost ground. September 2026 was the prior peak for the two-brand top cluster; October 2026 replaces that with a single dominant entrant plus a stable incumbent.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July 2026 (the baseline), the run covered 676 unique questions: all 800 prompts mentioned a tracked brand or competitor, 595 were relevant and 205 were irrelevant, and 534 qualified observations survived both stages. In October 2026, the run covered 638 unique questions: all 800 prompts mentioned a tracked brand or competitor, 630 were relevant and 170 were irrelevant, and the public metrics use the 565 qualified observations that survived both qualification stages. August 2026 (486 qualified) and September 2026 (500 qualified) sit between those endpoints.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which AI platforms gave conflicting answers about secured-card annual fees and minimum deposits?
• What pricing conflicts were flagged for OpenSky, Capital One, and Chime?

The benchmark flagged 12 critical or high-severity factual inconsistencies with high confidence across eight AI platform identifiers. Three companies were involved. The dominant pattern is conflicting pricing claims for secured-card products, most of them about annual fees and minimum deposits.

OpenSky

Ten of the twelve flagged inconsistencies involve OpenSky, and every one of them is a pricing conflict. AI platforms provided conflicting information about the OpenSky Plus Secured Visa's annual fee. When asked "What is the easiest secured card to get approved for?", Google AI Mode stated that OpenSky Plus features a $0 annual fee while Copilot stated that the OpenSky Plus Secured Visa has a $59 annual fee. Both answers drew on WalletHub's guaranteed-approval page; a flagged WalletHub answer page was cited on the $0 side with the excerpt "you won't have to pay an annual fee, making this card a great option for improving your credit score."

A second annual-fee conflict appeared on the question "What is the best secured credit card with no credit check?", where Google AI Mode again claimed a $0 annual fee for the Plus version while Copilot cited a $59 annual fee. A third conflict on the question "What's the easiest credit card to get right now?" had Gemini stating that the OpenSky Plus Secured Visa has a $35 annual fee while AI Overviews stated a $0 annual fee, with AI Overviews citing CNBC, Discover, and WalletHub pages.

On the question "What is the easiest secured card to get?", Google AI Mode stated that the OpenSky Secured Visa charges a small annual fee, while AI Overviews stated that the OpenSky Plus Secured Visa has a $0 annual fee. Here the flagged source on the annual-fee side was Bankrate, whose excerpt reads "For a low annual fee and security deposit, you can start using the opensky Secured Visa Credit Card to build credit," and the flagged source on the $0 side was a WalletHub answer page reading "you won't have to pay an annual fee."

Two conflicts concerned the minimum security deposit. When asked "What credit cards are approved immediately with no credit check?", ChatGPT stated a $100 minimum security deposit while Gemini stated a $200 minimum refundable deposit. When asked "Who has the lowest deposit on a secured credit card?", ChatGPT stated a $200 minimum deposit while Gemini stated a $150 minimum deposit; flagged sources on the $200 side included Experian ("Secured credit cards generally require a minimum $200 security deposit") and First Card, which specifically names OpenSky Secured Visa at a $200 deposit with a $35 annual fee and no credit check.

Three further annual-fee conflicts rounded out the OpenSky set. On "What is the best secured credit card to use?", Gemini stated a $0 annual fee while Perplexity stated a $35 annual fee. On "best bad credit credit cards", Google AI Overviews keywords stated a $35 annual fee while Google AI Mode keywords stated a $0 annual fee; two flagged WalletHub answer pages supported the $0 side. On "What is the easiest secured credit card to be approved for?", Google AI Mode stated that the OpenSky Secured Visa carries a $35 annual fee, drawing on the OpenSky FAQ page and Bankrate, while AI Overviews stated that the OpenSky Plus Secured Visa features a $0 annual fee.

Capital One

One conflict involved Capital One. When asked "What is the easiest secured card to get approved for?", AI Overviews stated that the Capital One Platinum Secured requires no credit score to apply, while Copilot stated that the Capital One Platinum Secured does require a credit check. The two claims are incompatible for the same card. AI Overviews drew on Bankrate, WalletHub, and Credit Karma pages; Copilot drew on WalletHub, Screened, and ClearValue Lending pages.

Chime

One conflict involved Chime. When asked "What is the best secured credit card with no credit check?", Google AI Mode stated that the Chime Credit Builder requires moving money into a safe zone as a flexible security deposit, while ChatGPT stated that the Chime Credit Builder has no deposit requirement. A flagged source on the Bankrate page, marked as supporting both sides, reads "While there isn't a traditional security deposit, the money you add to the checking account becomes your credit limit," which is consistent with the two answers framing the same mechanism differently.

Benchmark Context

Questions This Section Answers

• How does the qualified benchmark set differ from the raw 800-prompt collection?
• What was the largest structural change in the recommendation-shaped answer share?

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 moved in opposite directions at its two stages between the baseline and current month. The collected universe held flat at 800 prompts, and the relevant share rose from 595 to 630, but the final qualified set rose more modestly, from 534 to 565. August 2026 (486 qualified) and September 2026 (500 qualified) sit between those endpoints, with August representing the narrowest qualified set in the series.

Benchmark-Level Metrics

The recommendation-shaped answer share is the largest structural change in the series: 50.2% in July 2026, 18.9% in August 2026, 55.6% in September 2026, and 78.4% in October 2026. August remains the outlier month and is the reference point for reading every subsequent recovery.

AI Recommendation Trend

Questions This Section Answers

• Which brands led the category in October 2026, and how did the standings change from July?
• Which brands moved significantly against baseline this month?

Leadership changed hands with a new entrant at the top and a stable incumbent close behind

October 2026 is the first month in the series where Capital One appears in the qualified set, and it enters at the top of the coverage table. OpenSky holds second place with a second consecutive monthly gain. Chime, which shared the lead in September 2026, moves to third.

One brand, Capital One, exceeded normal month-to-month variation with an entry-level move that reshapes the top of the table. The rest of the category-level change came from the combination of several smaller movements, including significant declines at Chime, Navy Federal Credit Union, and Self and the exit of Capital One Auto Finance and Discover Home Loans from the qualified set. OpenSky's gain was real but fell within the normal movement threshold against baseline.

What Changed This Month

Questions This Section Answers

• Why did Capital One and OpenSky gain ground while Chime, Self, and Navy Federal Credit Union lost coverage?
• How did presence and recommendation coverage diverge for Navy Federal Credit Union?

Capital One: New category leader on first appearance in the qualified set

Capital One's valid recommendation coverage reached 86.7% in October 2026, from 0.0% in July 2026, a significant rise of 86.7 points. The baseline value reflects the brand's absence from the qualified set in the first three months of the series rather than a measured floor.

The brand's raw mention presence was 93.1% in October 2026 and its top-three rate was 83.7%, with 473 top-three placements from 565 qualified observations. Its rank-one rate was 36.6%, the highest of any tracked brand in the series to date, with 207 rank-one placements. The valid recommendation count was 490.

The distinction to notice is between presence and recommendation: a 93.1% mention presence does not automatically produce an 86.7% coverage figure in most categories, and the near-parity between the two here indicates that when AI systems surfaced the brand in October 2026 they placed it in a shortlist almost every time. Capital One's net sentiment score was 1.0.

Highest-priority diagnostic: Which prompt types drove the brand's entry into the qualified set this month, and whether the top-three concentration (83.7%) is broad across the surface universe or concentrated in one or two AI surfaces.

OpenSky: Second consecutive monthly gain, now the stable incumbent at the top

OpenSky's valid recommendation coverage rose from 74.5% in July 2026 to 78.9% in October 2026, a gain of 4.4 points that sits just under the movement threshold against baseline. Against September 2026 (72.0%), the brand gained 6.9 points, its second consecutive monthly rise.

OpenSky's top-three rate rose from 56.5% in July 2026 to 67.6% in October 2026, a significant gain of 11.1 points, with 382 top-three placements. Its rank-one rate moved only slightly, from 31.6% to 32.6%, and its raw mention presence was 82.8%, up 2.6 points from 80.2% in July 2026. The valid recommendation count was 446 from 565 qualified observations and its net sentiment score was 1.0.

The distinction here is between a brand that holds a high rank-one share and a brand that continues to add top-three placements: OpenSky's rank-one rate has been stable across the series while its top-three rate has expanded. That pattern points to growing breadth of recommendation rather than growth in single-placement selectedness.

Highest-priority diagnostic: Whether the top-three expansion came from surfaces where OpenSky previously appeared in lower list positions or from prompts newly added to the qualified set.

Chime: Significant decline against both baseline and the September 2026 peak

Chime's valid recommendation coverage fell from 74.3% in July 2026 to 62.3% in October 2026, a significant decline of 12.0 points. Against September 2026 (72.0%), the brand lost 9.7 points, also significant — reversing the rise Chime posted between August 2026 and September 2026.

Chime's raw mention presence fell from 83.0% in July 2026 to 67.4% in October 2026, a significant decline of 15.6 points. Its top-three rate fell from 53.0% to 46.7%, a significant decline of 6.3 points, with 264 top-three placements from 565 qualified observations. Its rank-one rate was 6.6% in October 2026 versus 8.8% in July 2026, a non-significant movement. The valid recommendation count was 352, and its net sentiment score was 0.9 in both months.

The distinction to notice is that Chime's rank-one share held within normal variation while its raw mention presence and top-three rate both fell significantly against baseline. This is a visibility contraction more than a single-selectedness contraction: the brand is appearing less often in AI answers, but when it appears it still holds top placements at a rate close to its July 2026 level.

Highest-priority diagnostic: Which surfaces lost Chime's raw mention presence between July 2026 and October 2026, and whether the displaced mentions went to Capital One or to OpenSky.

Navy Federal Credit Union: Presence up, recommendation coverage down

Navy Federal Credit Union's valid recommendation coverage fell from 11.8% in July 2026 to 5.5% in October 2026, a significant decline of 6.3 points. Against September 2026 (11.0%), the brand lost 5.5 points, also significant. This is a single-month drop from a September 2026 peak.

The brand's raw mention presence rose from 20.2% in July 2026 to 26.6% in October 2026, a significant gain of 6.4 points, with 150 presence mentions from 565 qualified observations. Its top-three rate fell from 5.8% to 2.6%, a significant decline of 3.2 points, and its rank-one rate was 0.7% versus 0.9% in July 2026. The valid recommendation count was 31. Its net sentiment score fell from 0.7 in July 2026 to 0.2 in October 2026.

The relevant counts are small enough that the coverage movement should be read with the absolute counts beside it. The distinction here is between a brand being surfaced more often and a brand being recommended more often: Navy Federal Credit Union's presence expanded by 6.4 points while its top-three rate contracted by 3.2 points, and the net sentiment score dropped. The brand is now more visible in AI answers that do not place it in the recommendation shortlist.

Highest-priority diagnostic: Which prompts surface Navy Federal Credit Union without recommending it, and whether the sentiment shift is tied to a specific surface or prompt type.

Self: Declines against both baseline and prior month

Self's valid recommendation coverage fell from 43.6% in July 2026 to 37.5% in October 2026, a significant decline of 6.1 points. Against September 2026 (52.6%), the brand lost 15.1 points, a significant drop against the prior month. This reverses the significant baseline-to-current rise recorded for Self in September 2026.

Self's raw mention presence fell from 48.3% in July 2026 to 42.5% in October 2026, a non-significant decline of 5.8 points. Its top-three rate rose from 24.0% to 26.6%, a non-significant gain of 2.6 points, with 150 top-three placements. Its rank-one rate was 1.8% versus 3.6% in July 2026. The valid recommendation count was 212 from 565 qualified observations, and its net sentiment score was 0.9 in both months.

The distinction to notice is that Self's top-three rate and rank-one rate moved in opposite directions against baseline while its overall coverage declined. The 15.1 point drop against September 2026 is much sharper than the 6.1 point drop against July 2026, indicating that September 2026 was a peak month rather than the brand's normal level.

Highest-priority diagnostic: Whether the September 2026 peak was driven by prompts that have since been reclassified or by a short-lived placement pattern.

Applied Bank, Capital One Auto Finance, and Discover Home Loans: Small-count exits and declines

Applied Bank's valid recommendation coverage fell from 1.5% in July 2026 to 0.2% in October 2026, a significant decline of 1.3 points. The brand's raw mention presence was 0.5% in October 2026 (3 mentions from 565 qualified observations), its top-three rate was 0.2% (1 placement), and its valid recommendation count was 1. Its net sentiment score was 0.3 versus 0.6 in July 2026.

Capital One Auto Finance left the qualified set entirely in October 2026, with 0.0% valid recommendation coverage versus 9.6% in July 2026, a significant decline of 9.6 points. Against September 2026 (8.6%), the brand lost 8.6 points, also significant. The brand registered no presence mentions and no valid recommendations in October 2026.

Discover Home Loans also left the qualified set, with 0.0% coverage versus 4.5% in July 2026, a significant decline of 4.5 points, and a further 3.4 point drop from September 2026. The brand registered no presence mentions and no valid recommendations in October 2026.

For these three brands, the absolute counts are small enough that percentage movements should be read beside the counts. Applied Bank's signal rests on 3 mentions and 1 valid recommendation across 565 qualified observations; Capital One Auto Finance and Discover Home Loans rest on zero observations in the qualified set.

Highest-priority diagnostic: Whether these three brands are absent because the October 2026 question set did not elicit them or because AI systems have stopped surfacing them on the prompts that previously connected.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters does the benchmark actually capture?
• Why does the benchmark not yet measure pricing and head-to-head comparison questions?

In October 2026, the entire qualified set of 565 observations fell into the Brand Recommendation cluster. None fell into Pricing & Value or Multi-Brand Comparison. The public benchmark therefore measures which brands AI systems name when recommending a credit card for building credit, and it does not yet capture price sensitivity, fee comparison, or head-to-head preference questions.

This gap matters more this month than in prior months because the AI Response Inconsistency Alerts section above documents that AI platforms are providing conflicting pricing claims about secured-card products, particularly annual fees and minimum deposits, in the same response universe. The public benchmark can show which brands are named; it cannot yet show which of their published pricing attributes are being repeated correctly or incorrectly.

Brand Opportunity Summary

Questions This Section Answers

• Which brands need investigation despite leading the coverage table?
• How should small-count movements for Applied Bank and First Latitude be interpreted?

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.

Report-Specific Interpretation Notes

• Small-count movement: Applied Bank (1 valid recommendation), First Latitude (2 valid recommendations), and Discover Home Loans and Capital One Auto Finance (0 valid recommendations in the current month) rest on very small counts or on their absence from the qualified set. Their percentage movements should be read with the absolute counts beside them.
• Qualified denominator vs raw collection: the public metrics use 565 qualified observations in October 2026, the largest qualified set in the series to date, against 800 collected prompts. The 565 figure is the correct denominator for all brand-level percentages above.
• Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. The pricing conflicts documented in the inconsistency section describe what AI systems stated, not what any issuer's published terms are.

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 associates with each option, and which external sources shape those answers. The public benchmark shows that Capital One entered at the top of the coverage table in October 2026, that OpenSky posted a second consecutive monthly gain, that Chime declined significantly against both baseline and its September 2026 peak, and that twelve high-confidence factual inconsistencies about annual fees and minimum deposits were detected across AI platforms. It does not explain which prompts moved, which source pages AI systems relied on, or which competitor benefitted when any brand lost position.

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, including the pricing-claim inconsistencies, into a concrete action plan for defending or reclaiming AI recommendation share.

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