Credit Cards for Building Credit: AI Market Discovery Index

Benchmark Summary

OpenSky led the Credit Cards for Building Credit category in August 2026 with a valid recommendation coverage of 38.5%, narrowly ahead of Chime at 35.8%, a gap of 2.7 percentage points. The month was marked by broad declines across the category, with the largest coverage decrease recorded by Chime, which fell to 35.8% in August 2026 from 74.3% in July 2026, a drop of 38.5 percentage points. OpenSky posted the second-largest coverage decline, falling to 38.5% in August 2026 from 74.5% in July 2026, down 36.0 percentage points.

The declines were not isolated to the leaders. Self, Navy Federal Credit Union, and Discover Home Loans also recorded significant coverage drops in August 2026 relative to July 2026, while Applied Bank, Capital One Auto Finance, and First Latitude saw smaller, non-significant declines within normal month-to-month variation. No brand recorded a significant coverage increase during the month.

The benchmark began with 800 prompt-surface observations in each month and produced 486 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the six canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Both months registered all six families.

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

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The following table shows how the 800 source prompt-surface observations in each month were qualified.

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

Current Brand Standings

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 recommended positions.
• Rank-one rate: share of qualified observations where the brand is the first recommendation.
• Net sentiment: positive minus negative mention tone, scaled; values near 1.0 are strongly positive.

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

Recommendation Coverage Movement

Largest Decline: Chime

Chime's valid recommendation coverage fell by 38.5 percentage points in August 2026, to 35.8% from 74.3% in July 2026. The decline was broad-based: presence rate fell to 44.0% from 83.0%, top-three rate fell to 23.7% from 53.0%, and rank-one rate fell to 4.9% from 8.8%. Chime's 174 valid recommendation counts in August 2026 compare with 397 in July 2026.

Largest Decline: OpenSky

OpenSky's valid recommendation coverage fell by 36.0 percentage points in August 2026, to 38.5% from 74.5% in July 2026. Presence fell to 42.6% from 80.2%, top-three rate fell to 28.2% from 56.5%, and rank-one rate fell to 18.1% from 31.6%. OpenSky recorded 187 valid recommendation counts in August 2026 versus 398 in July 2026. Despite the decline, OpenSky retained the coverage lead.

Other Significant Declines

Self's valid recommendation coverage fell by 20.1 percentage points in August 2026, to 23.5% from 43.6% in July 2026, with presence down to 31.1% from 48.3%. Navy Federal Credit Union fell by 5.0 percentage points to 6.8% from 11.8%, and Discover Home Loans fell by 2.4 percentage points to 2.1% from 4.5%. All three moved beyond normal month-to-month variation.

Stable Brands

Applied Bank, Capital One Auto Finance, and First Latitude are classified as stable on the primary metric, with declines that remained within normal month-to-month variation. Capital One Auto Finance's presence rate also fell, from 10.5% in July 2026 to 6.8% in August 2026, though its coverage movement stayed within normal variation. These are not yet trends.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement rates reveal different dynamics.

OpenSky held a distinct first-position advantage: its 18.1% rank-one rate in August 2026 was more than triple Chime's 4.9%, even though the two brands' coverage rates were separated by only 2.7 percentage points. Close coverage can still hide very different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class, reflecting prompts seeking direct brand suggestions for building credit.

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

Historical Measurement Record

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 or attributable sales.
• Every possible AI response to a given query.
• Organic-search ranking positions.
• Social mention volume.
• Private or sponsored channels.
• Causality from a metric movement alone.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how often and how prominently brands appear in AI-generated answers and recommendations across six canonical AI/search surface families. This is an evergreen industry benchmark; new measurements are added to the same report over time.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper, revealing how an individual brand is discovered, recommended, and positioned across AI surfaces.

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