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Upgrade moved up to #3 in AI answers about personal loans in week 41, passing LightStream; SoFi stays #1 with 39% of answers.

Each brand's rank by its share of AI answers about personal loans, week by week (ChatGPT, Gemini and Google AI Overviews, the same buyer questions asked three times a week). Lines join a brand's rank; brands named in the takeaways are in colour.

Borrowing got dearer this autumn: the Federal Reserve raised its target range by a quarter point, to 3.75% to 4%, on September 16, 2026, and Americans now owe $1.263 trillion in credit card debt, $54 billion more than a year earlier. That level of card debt is the most common reason people seek a consolidation loan, with 52.4% of personal loan borrowers using the funds to pay down existing debt. The AI answers about personal loans point to a few lenders, with SoFi personal loans named in 39% of answers in both week 40 and week 41, and Upgrade moving up to #3 in week 41, passing LightStream.

Sources: Federal Reserve Board, ; Federal Reserve Bank of New York, ; SoFi Technologies (SEC filing), ; lendingtree.com, Personal Loan Statistics: 2026

Updated

Personal loans: how the brands AI answers name most moved, week 40 to week 41 of 2026

Personal loans: how the brands AI answers name most moved, week 40 to week 41 of 2026Upgrade moved up to #3 in AI answers about personal loans in week 41, passing LightStream; SoFi stays #1 with 39% of answers.Week 40Week 41Upstart: Week 40 #2, Week 41 #22Upstart2UpstartDiscover Personal Loans: Week 40 #5, Week 41 #55Discover Personal Loans5Discover Personal LoansOneMain Financial: Week 40 #6, Week 41 #66OneMain Financial6OneMain FinancialAvant: Week 40 #7, Week 41 #77Avant7AvantWells Fargo: Week 40 #8, Week 41 #88Wells Fargo8Wells FargoPenFed Credit Union: Week 40 #9, Week 41 #99PenFed Credit Union9PenFed Credit UnionBest Egg: Week 40 #10, Week 41 #1010Best Egg10Best EggSoFi: Week 40 #1, Week 41 #11SoFi1SoFiLightStream: Week 40 #3, Week 41 #43LightStream4LightStreamUpgrade: Week 40 #4, Week 41 #34Upgrade3Upgrade
Personal loans: how the brands AI answers name most moved, week 40 to week 41 of 2026Upgrade moved up to #3 in AI answers about personal loans in week 41, passing LightStream; SoFi stays #1 with 39% of answers.Week 40Week 41Upstart: Week 40 #2, Week 41 #22Upstart2UpstartDiscover Personal Loans: Week 40 #5, Week 41 #55Discover Pe…5Discover Pe…OneMain Financial: Week 40 #6, Week 41 #66OneMain Fi…6OneMain Fi…Avant: Week 40 #7, Week 41 #77Avant7AvantWells Fargo: Week 40 #8, Week 41 #88Wells Fargo8Wells FargoPenFed Credit Union: Week 40 #9, Week 41 #99PenFed Cre…9PenFed Cre…Best Egg: Week 40 #10, Week 41 #1010Best Egg10Best EggSoFi: Week 40 #1, Week 41 #11SoFi1SoFiLightStream: Week 40 #3, Week 41 #43LightStream4LightStreamUpgrade: Week 40 #4, Week 41 #34Upgrade3Upgrade

Source: ChatGPT search answers, Gemini (Ujeebu Gemini API), Google AI Overviews (Ujeebu SERP API). Collected Oct 9, 2026 with the Ujeebu API. Chart: Ujeebu, CC BY 4.0.

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Chart by Ujeebu, licensed CC BY 4.0: free to reuse with the credit Source: Ujeebu, "Personal loans: how the brands AI answers name most moved, week 40 to week 41 of 2026", https://ujeebu.com/data/personal-loans-ai-rank-2026-w41 (CC BY 4.0). How to reuse

Key numbers

  • Upgrade moved up to #3 in AI answers about personal loans in week 41, passing LightStream; SoFi stays #1 with 39% of answers.
  • SoFi is #1 in both weeks, named in 39% of answers in week 40 and 39% in week 41.
  • #1 on each engine in week 41: ChatGPT SoFi, Gemini Upstart, Google AI Overviews SoFi.
  • Week 41 has 1,769 answers (3 rounds) and week 40 had 583 (0 rounds); shares are per week, so the weeks compare.

Why are so many people looking for personal loans right now?

Americans are carrying record levels of card debt and facing higher borrowing costs at the same time. Credit card balances stand at $1.263 trillion as of Q2 2026, and the Federal Reserve raised its benchmark rate to 3.75% to 4% on September 16, making new card debt more expensive.1, 3

Personal loan balances have also grown, reaching $281 billion across 26.9 million borrowers as of Q2 2026, a 9.3% rise from a year earlier.3 More than half of borrowers, 52.4%, take out a personal loan to consolidate debt or refinance credit cards, and paying everyday bills is the second most common reason at 8.5%.3 The delinquency rate for personal loans has risen too, to 3.81% for borrowers 60 days or more past due, up from 3.37% a year earlier, a sign that more households are under financial pressure.3

Why did the Fed raise interest rates in September 2026?

The Fed raised rates because inflation remains above its 2% target. The FOMC voted 12-0 to increase the federal funds rate by a quarter point, citing elevated inflation and a resilient economy.1 According to CNBC, Chairman Kevin Warsh said inflation had been "too high ... for too long" and that the committee was not yet confident that underlying inflation was moving toward its objective "clearly and at sufficient speed."2

CNBC reported that the decision was also influenced by tension in the Middle East, which contributed to spiraling oil prices, and that Warsh cited the strong labor market as a further reason for acting.2 Updated projections showed that 16 of 18 officials expected at least one more rate increase, though no further hikes are penciled in beyond this year.2 The worry, according to CNBC, is that prolonged energy price rises could lift inflation expectations more broadly, with economists also flagging expanded investment in artificial intelligence as a potential inflationary factor.2

Can AI be used to help me get a loan?

AI tools are used on the lender side to speed up decisions, but they are not a direct route to getting a loan for borrowers. Lenders using AI-powered platforms can automate application intake, identity verification, and underwriting by analyzing bank data, income patterns, and credit behavior, which can result in faster approvals for applicants.5

For borrowers, the practical benefit is a quicker process and more consistent decisions. Comparison marketplaces such as those reviewed by Money allow applicants to prequalify with a soft credit pull and receive multiple offers without affecting their credit score, which is a separate use of technology from AI underwriting.4 Whether Upgrade personal loans, LightStream personal loans, or another lender approves a given application still depends on the borrower's credit profile, income, and the lender's own criteria, not on which brands AI chatbots mention most often.

Sources

  1. federalreserve.gov, Federal Reserve issues FOMC statement
  2. CNBC, Fed rate decision September 2026: Rates rise to 3.75%-4%
  3. lendingtree.com, Personal Loan Statistics: 2026
  4. money.com, Best Personal Loans of October 2026 | Money
  5. finexusai.com, AI-Powered Personal Loan Software for Modern Lenders

The data

Personal loans: rank and share of AI answers naming each brand, AI Citation Index weeks 2026-W40 to 2026-W41.
Week Brand Rank Share of answers Answers naming it Answers
Week 41 SoFi 1 39.2% 692 1769
Week 41 Upstart 2 37.2% 658 1769
Week 41 Upgrade 3 28.1% 498 1769
Week 41 LightStream 4 27.4% 485 1769
Week 41 Discover Personal Loans 5 19.3% 340 1769
Week 41 OneMain Financial 6 19.2% 339 1769
Week 41 Avant 7 15.2% 268 1769
Week 41 Wells Fargo 8 12.0% 212 1769
Week 41 PenFed Credit Union 9 11.6% 205 1769
Week 41 Best Egg 10 8.6% 152 1769
Week 41 LendingClub 11 8.1% 143 1769
Week 41 Prosper 12 7.3% 128 1769
Week 40 SoFi 1 38.9% 227 583
Week 40 Upstart 2 35.4% 207 583
Week 40 LightStream 3 26.8% 157 583
Week 40 Upgrade 4 24.9% 145 583
Week 40 Discover Personal Loans 5 17.3% 101 583
Week 40 OneMain Financial 6 17.2% 100 583
Week 40 Avant 7 12.4% 72 583
Week 40 Wells Fargo 8 11.2% 65 583
Week 40 PenFed Credit Union 9 9.7% 57 583
Week 40 Best Egg 10 7.3% 43 583
Week 40 Prosper 11 6.4% 37 583
Week 40 LendingClub 12 6.2% 36 583

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We make every effort to find high-quality data sources, but this data comes from AI engine answers collected from the open web and we cannot guarantee its accuracy, completeness or reliability. Use it at your own risk.

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Ujeebu, "Personal loans: how the brands AI answers name most moved, week 40 to week 41 of 2026", https://ujeebu.com/data/personal-loans-ai-rank-2026-w41, updated Oct 19, 2026. CC BY 4.0.

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How we got this data

We collected these answers with Ujeebu's LLM APIs, which return what ChatGPT, Gemini and Google AI Overviews actually tell people, including the brands they name and the sources they cite, as structured JSON. The same APIs are available to you: ask any question and get the answer and its citations back in seconds.

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Methodology and known limits

What we asked. Each industry has its own set of 200 buyer questions in US English (recommendations, problems, comparisons and prices), frozen for the quarter. Each question is asked to ChatGPT, Gemini and Google AI Overviews three times a week, on Monday, Wednesday and Friday, from the US, through Ujeebu's APIs.

What we counted. A brand is mentioned when the answer names it, matched against the industry's list of brands and their aliases. The share of answers is the answers that name the brand divided by every answer collected that week on the three engines, as on the AI Citation Index pages. Ranks are by that share. Each week is checked before it is published (coverage per engine and a spot check of the brand matches).

Why this chart. It was drafted because week 41 moved against week 40: Upgrade entered the top 3. A significant move means the 95% Wilson intervals of the two weeks do not overlap.

How the AI Citation Index collects and counts answers: read the methodology.

Known limits

  • Weekly snapshots of AI answers; a move between two weeks can reverse the next week.
  • Questions are in US English and asked from the US.
  • A mention is not a recommendation: an answer that names a brand to warn against it still counts.
  • Only brands on the personal loans list are counted.

The data comes from AI engine answers to our own questions. This page publishes aggregated counts only: no answer text and no personal data. Spotted an error? Tell us.

Disclaimer: We make every effort to find high-quality data sources, but this data comes from AI engine answers collected from the open web and we cannot guarantee its accuracy, completeness or reliability. Use it at your own risk.

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