Student Loans: AI Market Discovery Index

Benchmark Summary

Earnest led the Student Loans benchmark in August 2026 with valid recommendation coverage of 60.6%, up from 57.4% in July 2026. College Ave followed at 51.1% in August 2026, up from 46.1% in July 2026, a gap of 9.5 percentage points between the two leaders.

The largest coverage increase among tracked brands was College Ave, rising from 46.1% in July 2026 to 51.1% in August 2026. The largest coverage decline was ELFI, falling from 22.2% in July 2026 to 16.3% in August 2026, a move beyond normal month-to-month variation.

Earnest strengthened its leadership while College Ave closed the gap; ELFI posted a decline exceeding normal variation.

The benchmark began with 800 prompt-surface observations in each month and produced 583 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

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

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Student Loans

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

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

Current Brand Standings

How to Read the Standings

• Presence rate: share of qualified observations where the brand was mentioned at all.
• Valid recommendation coverage: share of qualified observations where the brand appeared in a valid recommendation shortlist.
• Top-three rate: share of qualified observations where the brand appeared among the top three recommended options.
• Rank-one rate: share of qualified observations where the brand was the first recommended option.
• Net sentiment: positive minus negative mentions divided by total mentions, scored from -1 to 1.

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

Recommendation Coverage Movement

Largest Decline: ELFI

ELFI's valid recommendation coverage fell from 22.2% in July 2026 to 16.3% in August 2026, a drop of 5.9 percentage points that exceeded normal month-to-month variation. The brand's presence rate also fell from 28.7% to 22.5%, and its top-three rate dropped from 11.8% to 7.4%, indicating a broad visibility decline rather than a placement-only shift.

Stable Brands

Nine brands moved within normal month-to-month variation. College Ave posted the largest absolute gain among stable brands at 5.0 points, while its top-three rate also rose from 33.3% in July 2026 to 40.8% in August 2026. Citizens' top-three rate rose from 4.8% to 8.1%, and Sallie Mae's top-three rate rose from 18.7% to 24.2%. Ascent Funding, Earnest, juno, Laurel Road, LendKey, and Splash all remained within normal variation.

Category Leader: Earnest

Earnest remained the category leader with valid recommendation coverage of 60.6% in August 2026, up from 57.4% in July 2026. Its presence rate also rose from 78.9% to 83.5% over the same period.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the top three brands by coverage, placement patterns differ. College Ave recorded the highest rank-one rate at 17.8% in August 2026, ahead of Earnest at 14.1% and Sallie Mae at 8.6%. College Ave also led the top-three rate at 40.8%, closely followed by Earnest at 40.0%.

Earnest led on coverage while College Ave's rank-one rate was higher, showing that similar coverage levels can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class, which captures discovery-and-consideration queries where the AI surfaces name or recommend specific lenders.

The current public series measures Brand Recommendation discovery 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, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. It records what AI surfaces present in response to the qualified prompts collected, within the limits of the research design.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, industry-level benchmark tracking how AI and search surfaces name and recommend brands. It is built from prompt-level observations across six canonical AI surface families and reports presence, recommendation coverage, placement, and sentiment for tracked brands.

• 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. The public percentage cannot identify the prompts, competitors, or sources causing a given brand result. A company-level Authority Index can go deeper.

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