What LLMs cite
home loans with low down payments
From recent prompt runs · US · Updated October 22, 2026
GEOGrow tested this high-intent customer question across ChatGPT, Gemini, Perplexity, and Claude. Rankings below show which companies appeared most often in those responses — not who is independently the best.
Top brand
Wells Fargo Home Mortgage
Leads across all key metrics
AI engines mentioning
4 of 4
Wells Fargo Home Mortgage appears in 4 of 4 AI engines
#1 recommendations
1
Wells Fargo Home Mortgage was the #1 recommendation once.
AI answer share
100%
Wells Fargo Home Mortgage appears in 100% of answers in our tests
Top AI Answers
Which companies appear most often in AI responses?
Updated October 22, 2026
| # | Company | AI engines mentioning | #1 recommendations | AI answer share |
|---|---|---|---|---|
| 1 | Wells Fargo Home Mortgage Claim your company | 4 of 4 | 1 | 100% |
| 2 | FHA Loan Program Claim | 1 of 4 | 1 | 25% |
| 3 | FHA Loan Claim | 1 of 4 | 1 | 25% |
| 4 | FHA Loans (Federal Housing Administration) Claim | 1 of 4 | 1 | 25% |
| 5 | USDA Single Family Housing Guaranteed Loan Program Claim | 2 of 4 | 0 | 50% |
| 6 | USDA Loan Claim | 1 of 4 | 0 | 25% |
| 7 | Navy Federal Credit Union Homebuyers Choice Loan Claim | 1 of 4 | 0 | 25% |
| 8 | Rocket Mortgage Claim | 1 of 4 | 0 | 25% |
What Each AI Recommended
Recent answer snapshots by engine.
ChatGPT
- 1. FHA Loan Program
- 2. USDA Single Family Housing Guaranteed Loan Program
- 3. Chase
- 4. Navy Federal No-Down-Payment Mortgages
- 5. Freddie Mac Home Possible
- 6. Fannie Mae HomeReady
+4 more in this answer
Gemini
- 1. FHA Loan
- 2. USDA Loan
- 3. Navy Federal Credit Union
- 4. Freddie Mac Home Possible
- 5. Fannie Mae HomeReady
- 6. Wells Fargo Home Mortgage
+5 more in this answer
Perplexity
Claude
- 1. FHA Loans (Federal Housing Administration)
- 2. Rocket Mortgage
- 3. United Wholesale Mortgage (UWM)
- 4. Wells Fargo Home Mortgage
- 5. Chase Bank Home Lending
- 6. VA Loans (U.S. Department of Veterans Affairs)
+14 more in this answer
What LLMs cite
Sources cited in the most recent prompt runs for this question. The mix varies by engine.
- nerdwallet.com 14 Best Lenders for a Low- or No-Down
- hud.gov Let FHA Loans Help You
- navyfederal.org Mortgage Learning Center: Homebuyers Choice Loan
- rd.usda.gov Single Family Housing Guaranteed Loan Program
- sf.freddiemac.com Home Possible Mortgage - Freddie Mac
- bankofamerica.com Affordable Loan Solution Mortgage - Bank of America
- singlefamily.fanniemae.com HomeReady Mortgage - Fannie Mae
- va.gov VA Home Loans - Veterans Affairs
Who's Winning in AI?
AI Leaderboard · Based on this buyer question
Wells Fargo Home Mortgage currently leads this conversation. AI visibility leadership is valuable — but competitive markets shift fast.
Wells Fargo Home Mortgage currently leads this conversation.
- #1
- #2 FHA Loan Program 25%
- #3 FHA Loan 25%
- #4
- #5
- #6 USDA Loan 25%
- #7
- #8 Rocket Mortgage 25%
Get ahead of the competition
Defend this answer before competitors close the gap.
Multiple businesses already appear in this answer set. Claim your company, improve your visibility, and compete for the recommendations students and institutions will actually see.
Leading in AI is an advantage — keeping it is the strategy.
Turn current visibility into durable pipeline with GEOGrow.
We work with one premium provider per service category and market.
How We Measure AI Answer Share
AI Answer Tracker by GEOGrow measures how companies appear when high-intent customer questions are asked across supported AI platforms. Results are observational snapshots and can vary by model, location, personalization, source availability, and date.
AI Answer Share is weighted recommendation appearances divided by all possible recommendation opportunities. Rankings shown here represent the responses collected during the stated research period and are not endorsements by GEOGrow. Method: 4 independent AI observations.
- Question tested
- home loans with low down payments
- Market
- US
- AI engines
- ChatGPT, Gemini, Perplexity, and Claude
- Research date
- October 22, 2026