How AI Search Is Recommending Peer to Peer Lending: Monthly Trends

Executive Summary

Upstart remains the category leader in AI search recommendations, holding an 83.5% valid recommendation coverage in October 2026. That is a 15.7-point gain from 67.8% in July 2026, a significant rise that keeps Upstart ahead of second-place Upgrade by 15.0 points in the current month. The leader extended its position sharply, and the widening gaps beneath it signal a category where recommendation credit is consolidating at the top.

Upgrade was one of five brands to post a significant baseline-to-current gain, rising 15.5 points from 53.0% in July to 68.5% in October, consolidating clear second place. Avant posted the largest baseline-to-current increase, up 20.7 points from 41.2% to 61.9%, moving into third. LendingClub was the only significant decliner, falling 43.4 points from 43.4% in July to 0.0% in October. A new reference, Lending Club, entered the series this month at 8.2% coverage, a significant rise from a 0.0% baseline.

The movement is the story: six of the eight tracked brand references, counting both Lending Club entries, changed materially across the four-month window. Five brands rose significantly, one declined significantly, and the category leader widened its lead from roughly 15 points over the chasing pack to a much larger margin. The benchmark shows these shifts; the analysis identifies them as changes worth investigating, not proof of cause.

Each monthly run begins with 800 prompt-surface observations (586 unique questions in July and 618 in October) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in both months; 792 were relevant and 8 were irrelevant in July, while 789 were relevant and 11 were irrelevant in October. The public metrics use the 677 qualified observations in July and 667 in October that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

The benchmark detected seven critical or high-severity factual inconsistencies across five AI platforms: ChatGPT, Copilot, Gemini, Google AI Mode, and Google AI Overviews.

SoFi

Three high-severity inconsistencies concern SoFi's advertised APR range. When asked "What is the best installment loan company?" Gemini stated an APR range of 6.99% to 35.49%, citing MoneyLion and The Investors Podcast, while Copilot stated a range of roughly 6% to 20%, citing WalletHub, CNBC Select, and MoneyLion. The two ranges are incompatible at both ends.

A second conflict arose on the same APR topic when asked "Who has the best installment loans?" Gemini again stated 6.99% to 35.49%, citing MoneyLion, Money.com, and Bankrate, while Copilot stated 8.99% to 29.99%, citing MoneyLion, Finder, and BankingVibe. The conflicting figures cannot both describe the same product. A source page on BankingVibe was flagged as supporting the Copilot range.

A third APR conflict appeared when asked "What is the best online installment loan?" Gemini stated 6.99% to 35.49% while Copilot stated roughly 6% to 20%, citing NerdWallet, MoneyLion, and CNBC Select. AI platforms provided conflicting information about SoFi's maximum rate across multiple buyer questions.

Upgrade

Two high-severity inconsistencies concern Upgrade's minimum credit score. When asked "What loan can I get with a fair credit score?" Google AI Mode stated a minimum credit score of 580, citing Citi, a Google-referenced page, and Reprise Financial, while Copilot stated a minimum of 620, citing NerdWallet, U.S. News, and Bankrate. A borrower with a score between 580 and 619 would qualify under one answer but not the other.

A second eligibility conflict arose when asked "What is the best loan company for people with bad credit?" Google AI Overviews stated that Upgrade accepts scores starting around 580, citing CNBC Select, Bankrate, and Reddit, while Google AI Mode stated a minimum credit score of 600, citing Upstart, Experian, and Bankrate. Source pages on CNBC Select were flagged as supporting the 580 threshold, and CNBC Select also noted that Avant carries a 580 minimum.

Upstart

Two high-severity inconsistencies concern Upstart's product terms. When asked "Where to get an immediate loan online?" Google AI Mode stated that Upstart offers smaller short-term loans of $200 to $2,500, citing OneMain Financial, Advance America, and SoFi, while Copilot stated loans of $2,000 to $35,000, citing U.S. News, MoneyLion, and CNBC Select. The stated maximum loan amounts cannot both be correct.

A second conflict arose when asked "What is the lowest credit score for a debt consolidation loan?" ChatGPT stated that Upstart lists a 620 minimum credit score, citing Forbes Advisor and Experian, while Gemini stated that Upstart does not have a strict minimum credit score requirement, citing LendingTree, Forbes, and Achieve. A LendingTree page was flagged as supporting the no-minimum position.

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.

All six canonical AI surface families (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode) carried at least one qualified observation in both months. The qualified benchmark set is always smaller than the raw collection, and every brand-level percentage below is calculated against the qualified counts.

Benchmark-Level Metrics

Both aggregate answer-quality measures rose sharply across the window, and the qualified set became materially more recommendation-dense. Surface breadth held at all six canonical families throughout.

AI Recommendation Trend

Questions This Section Answers

• Which brands gained valid recommendation coverage from July to October 2026?
• How much did Upstart's lead over the runner-up cluster widen?
• Which brand posted the largest baseline-to-current gain in peer to peer lending recommendations?

A Category Where Recommendation Credit Is Consolidating at the Top

Coverage rose for six of seven brands measured on the baseline-to-current comparison, but the leader and runners-up pulled further ahead of the field, and one reference declined to zero.

The category-level change came from a combination of several large movements rather than one isolated shift. Four brands (Upstart, Upgrade, Avant, and Prosper) exceeded normal month-to-month variation on the baseline-to-current comparison and continued rising streak patterns across three months, while SoFi and Best Egg moved within normal variation.

What Changed This Month

Questions This Section Answers

• What drove Upstart's 15.7-point coverage gain and rank-one improvement?
• How did Lending Club and LendingClub diverge across the series?
• Did Upgrade's rise come from better placement or just wider shortlist inclusion?

Upstart: Leader Extending the Gap

Upstart's valid recommendation coverage rose 15.7 points from 67.8% in July to 83.5% in October, a significant baseline-to-current gain. The sharper near-term story is prior to current: coverage climbed 14.2 points from 69.3% in September to 83.5% in October, also significant, extending a three-month upward streak.

The gain was broad. Upstart's top-three rate rose 19.9 points from 37.8% to 57.7%, and its rank-one rate rose 8.2 points from 15.2% to 23.4%, both significant. Raw mention presence rose 3.4 points to 93.5%, meaning the brand appeared in nearly every qualified observation.

The distinction to note is that Upstart's coverage gain came with stronger placement, not just wider presence. It now sits first in a category where the gap to second place is 15.0 points and the gap to the field is wider still.

Highest-priority diagnostic: which prompt categories drive the rank-one placements, and whether the three-month streak reflects durable category positioning or a small number of high-frequency prompt patterns.

Avant: Largest Baseline-to-Current Riser

Avant posted the largest gain in the category, rising 20.7 points from 41.2% in July to 61.9% in October, a significant move that lifts it to third place. The prior-to-current step was the larger one: coverage rose 15.0 points from 46.9% in September to 61.9% in October, also significant, the brand's largest single-month move on record in this window.

Placement improved alongside coverage. Avant's top-three rate rose 18.7 points from 21.0% to 39.7%, and its rank-one rate rose 4.6 points from 3.8% to 8.4%, both significant. Raw mention presence rose 9.3 points to 70.0%.

The distinction to note is that Avant's advance came with both wider presence and stronger placement, a combined pattern rather than a shortlist-depth-only gain. Its coverage now sits 61.9 points above LendingClub's, a gap that has widened every month in the series.

Highest-priority diagnostic: which surfaces and prompt categories account for the sharp September-to-October step, and whether competitors lost those same placements.

Lending Club and LendingClub: One Reference Rose as Another Fell to Zero

The benchmark's two identically rooted references moved in opposite directions, which is the single most important structural observation this month. The current reference, Lending Club, entered the series at 8.2% valid recommendation coverage in October, up 8.2 points from a 0.0% baseline and a significant single-month rise. Its raw mention presence stands at 12.1%, top-three rate at 4.3%, and rank-one rate at 0.4%, all on small absolute counts.

The prior reference, LendingClub, fell 43.4 points from 43.4% in July to 0.0% in October, a significant decline that extended a three-month downward streak. The prior-to-current step was 27.0 points, also significant, from 27.0% in September to 0.0% in October. Its valid recommendation coverage fell from 43.4% in July to 27.0% in September to 0.0% in October, with the valid recommendation count falling from 294 in July to 0 in October.

The distinction to note is the divergence between the two references across the series, and that the category now carries one reference at zero and one reference at 8.2%. The widening gaps between LendingClub and Avant (61.9 points), LendingClub and Upstart (83.5 points), and LendingClub and Upgrade (68.5 points) are category-level repositioning observations, not statements about any single company.

Highest-priority diagnostic: whether the two references resolve to the same underlying entity in later runs, and which prompt categories account for the emergence of one reference as another disappeared.

Upgrade: Second Place Consolidating

Upgrade rose 15.5 points from 53.0% in July to 68.5% in October, a significant baseline-to-current gain that consolidates clear second place. The prior-to-current step was smaller: coverage rose 5.1 points from 63.4% in September to 68.5% in October, also significant.

The gain was driven by placement. Upgrade's top-three rate rose 14.0 points from 31.3% to 45.3%, a significant move, while its rank-one rate held essentially flat at 8.7% versus 8.3%. Raw mention presence rose 4.3 points to 75.9%, a non-significant move.

The distinction to note is that Upgrade is being added to recommendation shortlists more often without a corresponding rise in top placement. It now trails the leader by 15.0 points and leads third place by 6.6 points.

Highest-priority diagnostic: which surfaces added shortlist inclusion, and what keeps the rank-one rate flat while coverage climbs.

Prosper: A Measurable Gap Against the Category Leader

Prosper rose 7.1 points from 14.5% in July to 21.6% in October, a significant baseline-to-current gain, extending a three-month upward streak. But the placement data moved against the brand even as coverage rose: Prosper's top-three rate fell 0.7 points from 5.0% to 4.3%, its rank-one rate fell 1.0 point from 1.3% to 0.3% (a significant decline), and raw mention presence fell 5.0 points to 26.2% (also significant). These figures rest on small absolute counts — the rank-one rate reflects just 2 observations out of 667, and the top-three figure rests on 29 — but Prosper still trails every other tracked reference on coverage.

Upstart records 83.5% valid recommendation coverage in October, while Prosper stands at 21.6%, a recommendation gap of 61.9 points. The more important issue is what that gap means for Prosper's recommendation position: Upstart's rank-one rate reached 23.4% against Prosper's 0.3%, and Upstart's top-three rate reached 57.7% against Prosper's 4.3%. Prosper is gaining raw coverage, but it is doing so while losing ground on the placement metrics that determine whether a borrower actually sees Prosper recommended first or in the top tier — the unresolved question is whether that placement weakness compounds as the category consolidates further around the leader.

Highest-priority diagnostic: whether the significant rank-one decline reflects a placement-quality problem distinct from the coverage rise, and what specifically separates Prosper's prompt-level outcomes from Upstart's to produce a 61.9-point coverage gap and a 23.1-point rank-one gap.

SoFi and Best Egg: Stable, With a Placement Shift Underneath

SoFi rose 4.4 points from 52.7% in July to 57.1% in October, a stable move within normal variation, and held fourth place. Beneath the stable headline, SoFi's top-three rate rose 8.2 points to 51.3% and its rank-one rate rose 7.8 points to 35.4%, both significant. Raw mention presence slipped 3.3 points to 66.3%, a non-significant move.

Best Egg rose 2.7 points from 18.6% to 21.3%, a stable move that kept it in sixth place. Raw mention presence fell 5.2 points to 26.1%, a significant decline, while its top-three rate rose 5.8 points to 8.7%, a significant gain on small counts (58 observations). Its rank-one rate rose 0.3 points to 0.4%.

The distinction to note for both brands is that stable headline coverage can mask meaningful movement underneath. SoFi is winning more prominent placements even as its overall presence softened; Best Egg is reaching the top three more often while being mentioned less often overall. Both patterns rest on counts worth reading alongside the percentages.

Highest-priority diagnostic: which prompt types are shifting SoFi toward rank-one and among which surfaces Best Egg's presence decline is concentrated.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the October benchmark actually capture?
• Why can't the current benchmark answer pricing or head-to-head comparison questions?
• What commercial questions about lender recommendations remain open for deeper investigation?

All 667 qualified observations in October fell into the brand recommendation cluster. The public benchmark did not collect qualified observations for pricing and value or multi-brand comparison in this cycle, meaning the AI surfaces tested were dominated by direct recommendation queries rather than cost or head-to-head comparison prompts.

That concentration means the current benchmark can describe which lenders AI recommends and in what order, but it cannot yet answer commercial questions about how AI frames pricing differences between lenders or which brand AI prefers in explicit comparisons. Those questions remain open for a deeper, prompt-level investigation.

Brand Opportunity Summary

Questions This Section Answers

• Where should each peer to peer lending brand focus its AI visibility attention?
• What is Prosper's biggest diagnostic gap against Upstart?
• Which unresolved question matters most for Lending Club's emerging reference?

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

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering the query, the AI surface, the recommendation outcome, the 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 Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movements, such as Lending Club's rank-one rate and Best Egg's top-three rate, carry higher uncertainty; percentages can shift sharply on a handful of observations.
• The qualified set of 667 observations is distinct from the raw collection of 800 prompts; all brand-level percentages are calculated within the qualified set.
• Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. Directional analysis requires prompt-level inspection.

Next Step

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

Beneath the aggregate percentages sit the questions that matter for strategy: which high-intent prompts a brand wins, 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 can show that Upstart rose 15.7 points and that LendingClub fell to zero, but it cannot yet say which specific prompts drove those shifts or which evidence sources the AI relied on.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That is the difference between knowing a brand moved and knowing why the movement happened and what to do about it.

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