Personal Loans and Online Lenders: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which lender led AI recommendations in October 2026, and by how small a margin?
• Which brands posted the largest coverage gains and declines since the July 2026 baseline?

Upstart led the Personal Loans and Online Lenders benchmark in October 2026 with 79.8% valid recommendation coverage, ahead of SoFi at 79.4% by 0.4 percentage points. The largest coverage increase since baseline was Upstart, at 7.3 percentage points. The largest coverage decline was Happy Money, which fell to 8.3% in October 2026 from 17.0% in July 2026, a decline of 8.7 percentage points.

The month showed significant movement in both directions. SoFi, Upstart, and Achieve were significant risers since July 2026, while Happy Money and Achieve Home Loans were significant decliners. SoFi rose 10.9 points from 68.5% in September 2026 to 79.4% in October 2026, beyond normal month-to-month variation, marking a second consecutive monthly increase. Upstart rose 12.1 points from 67.7% in September 2026 to 79.8% in October 2026, also beyond normal variation. Upgrade rose 6.6 points from 65.1% in September 2026 to 71.7% in October 2026, beyond normal variation, while remaining stable against its July baseline. Happy Money declined for a third consecutive month, and Achieve Home Loans fell to 0.0% valid recommendation coverage in both September and October 2026.

The benchmark began with 800 prompt-surface observations in each month and produced 569 qualified observations in October 2026 after qualification.

Current Benchmark at a Glance

In August 2026, the second month of the series, SoFi dipped to 64.5% valid recommendation coverage, and in September 2026 SoFi recovered to 68.5% before reaching 79.4% in October 2026. Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

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

Research Scope and Qualification

Questions This Section Answers

• How does the raw prompt collection narrow down to the 569 qualified observations used in the public benchmark?

The public benchmark is narrower than the raw collection universe by design. The following table shows how the raw prompt collection narrows to the qualified observations that form the public denominator.

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

Current Brand Standings

Questions This Section Answers

• How do Upstart and SoFi differ once top-three and rank-one rates are compared with coverage?
• Which lenders make up the recommended shortlist, and how large is the gap between the top three and the rest?

This table is the primary current-month benchmark view, sorted by valid recommendation coverage.

How to Read the Standings

• Presence rate: Share of qualified observations where the brand is mentioned, regardless of recommendation status.
• Valid recommendation coverage: Share of qualified observations where the brand appears in a valid recommendation shortlist.
• Top-three rate: Share of qualified observations where the brand appears in the top three recommendation slots.
• Rank-one rate: Share of qualified observations where the brand appears in the first recommendation slot.
• Net sentiment: Positive minus negative sentiment among mentions, divided by total mentions.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which brand saw the largest increase in valid recommendation coverage since the July 2026 baseline?
• What drove Happy Money's decline across the three months since baseline?
• How did SoFi's placement rates change even as its coverage rose?

Largest Increase: Upstart

Upstart's valid recommendation coverage rose to 79.8% in October 2026 from 72.5% in July 2026, an increase of 7.3 percentage points, beyond normal month-to-month variation. Its top-three rate rose to 44.6% from 28.8%, and its rank-one rate rose to 12.7% from 7.5% over the same period. Upstart also recorded the largest single-month rise in the series, gaining 12.1 points from September to October 2026.

Largest Decline: Happy Money

Happy Money's valid recommendation coverage fell to 8.3% in October 2026 from 17.0% in July 2026, a decline of 8.7 percentage points, beyond normal month-to-month variation. It declined in each of the three months since July 2026. Its presence rate fell to 9.1% in October 2026 from 18.3% in July 2026, a decline of 9.2 percentage points, beyond normal variation. Its top-three and rank-one rates rest on a small number of observations.

Other Significant Movers

SoFi rose to 79.4% in October 2026 from 74.1% in July 2026, an increase of 5.3 percentage points, beyond normal variation. Its top-three rate rose to 69.8% from 58.8%, and its rank-one rate rose to 44.6% from 33.9%. Achieve rose to 12.3% in October 2026 from 0.0% in July 2026, an increase of 12.3 percentage points. Achieve Home Loans fell to 0.0% in October 2026 from 8.3% in July 2026, a decline of 8.3 percentage points, beyond normal variation.

Category Leader: SoFi

SoFi carries the strongest placement profile in the category, with a 69.8% top-three rate and a 44.6% rank-one rate in October 2026, both up from 58.8% and 33.9% in July 2026. Upstart holds the highest valid recommendation coverage at 79.8%, while its rank-one rate stands at only 12.7%.

Recommendation Placement Snapshot

Questions This Section Answers

• Why can similar coverage levels produce very different first-position rates for SoFi and Upstart?

Coverage alone does not show how prominently a brand is recommended. The table below shows placement rates for the leading brands.

Similar coverage levels can still hide very different first-position rates. SoFi's 79.4% coverage in October 2026 carried a 44.6% rank-one rate, while Upstart's 79.8% coverage carried a 12.7% rank-one rate over the same period.

Buyer-Intent Distribution

All qualified observations in both months fell into the brand recommendation class.

The current public series measures brand recommendation discovery only; the pricing and comparison classes have no qualified observations in this data.

Historical Measurement Record

Questions This Section Answers

• Has leadership between SoFi and Upstart been stable across the four monthly measurements?
• Which measurement period produced the largest coverage movement for any tracked brand?

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

The leadership position has alternated between SoFi and Upstart across the four measurements, with the two brands separated by 0.4 percentage points in October 2026.

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, not automatic 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/sponsored channels, or causality from a metric movement alone.

Top 10 Cited Domains

Questions This Section Answers

• Which domains generate the most AI citations in the personal loans category?
• Are citations concentrated among a few sources or spread across many domains?
• Do any tracked lender sites appear among the most-cited sources?

Across all AI platform responses in the October 2026 measurement period, the benchmark observed 6,656 citations drawn from 944 unique domains.

Citations are broadly distributed rather than concentrated: the top 10 domains account for 40.2% of all citations across 944 unique domains found. Third-party comparison and review sites lead the citation profile, with nerdwallet.com, bankrate.com, and lendingtree.com appearing in the top 10. No tracked brand's own domain appears in the top 10. Financial news outlets and credit bureau resources also feature prominently, alongside user-generated sources such as YouTube and Reddit.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index benchmarks how six AI/search surface families recommend brands in response to real consumer questions. It tracks presence, recommendation coverage, placement, and sentiment for tracked brands each month.

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

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