CiteWorks Studio

New American Funding AI Market Strategy Report — Mortgage Rates

Mark HuntleyBy Mark HuntleyFounder and CEO
7 minutes read

On this report

Key Takeaways

  • New American Funding is most often associated with flexible borrower profiles, including lower credit scores, manual underwriting, FHA loans, and VA loans.
  • The brand shows useful traction in pricing-related prompts, but it trails Rocket Mortgage and Better Mortgage in overall recommendation strength.
  • Mortgage Lender Comparisons is the clearest weakness, with no positive visibility or top-ranked placements in that cluster.
  • The strongest next step is to build comparison-ready evidence that connects New American Funding’s borrower fit to direct lender comparisons.

This is an independent public analysis by CiteWorks Studio / LLM Authority Index. It is not affiliated with, endorsed by, or sponsored by New American Funding unless explicitly stated.

Answer Capsule

New American Funding is a meaningful lender challenger in this mortgage rates packet. It appears in 151 of 887 observations and earns 89 valid recommendations.

Its clearest strength is borrower-flexibility positioning. AI systems repeatedly connect New American Funding with lower-credit borrowers, manual underwriting, flexible qualification, VA loans, FHA loans, refinance options, and competitive rates.

Its clearest weakness is comparison-stage conversion. New American Funding records no positive visibility, top-3 placements, or rank-1 placements in Mortgage Lender Comparisons.

The biggest opportunity is to turn flexible-borrower and rate-related relevance into stronger comparison-cluster authority.

Who This Report Is For

This report is for mortgage lender marketers, growth teams, refinance acquisition teams, FHA and VA lending teams, product leaders, communications teams, and agency partners competing for AI-generated mortgage shortlists.

It is especially relevant for teams trying to understand whether New American Funding is being recommended as a lender for specific borrower profiles or only appearing as a secondary mortgage option.

Report Card

Field

Value

Report type

AI Market Strategy Report

Target company

New American Funding

Category

Mortgage Rates

Reporting month

May 2026

AI platforms tracked

6

Public high-intent clusters

3

AI observations analyzed

887

Competitors tracked

AmeriSave Mortgage, Better Mortgage, LendingTree, loanDepot, NerdWallet, Own Up, Rate, Rocket Mortgage

Executive Summary

New American Funding appears in 151 of 887 observations and records 89 valid recommendations. That gives it one of the stronger challenger footprints in the packet, though it remains far behind Rocket Mortgage.

New American Funding records a 17.02% raw mention presence rate, 10.03% valid recommendation coverage, 4.62% top-3 recommendation rate, and 1.80% rank-1 rate. Its average recommended rank is 1.8537 across rank-eligible recommendations only.

Best Mortgage Lenders is the strongest cluster. In that cluster, New American Funding posts a 6.87% top-3 rate, 3.08% rank-1 rate, and 19.19% positive visibility across 422 observations.

Mortgage Pricing and Costs is also useful. New American Funding records a 5.00% top-3 rate, 1.25% rank-1 rate, and 6.25% positive visibility across 240 observations.

Mortgage Lender Comparisons is the major gap. New American Funding records no positive visibility, no top-3 placements, and no rank-1 placements across 225 observations.

Sentiment is favorable but not dominant. New American Funding records 96 positive mentions, 55 neutral mentions, and 0 negative mentions, producing a 0.6358 net sentiment score by mentions.

What New American Funding Is Winning

New American Funding is winning flexible-borrower relevance. AI systems repeatedly associate it with manual underwriting, lower credit score flexibility, FHA lending, VA lending, underserved borrowers, and non-traditional borrower profiles.

That position matters because mortgage-rate discovery is not only a lowest-rate contest. AI systems often blend rate, eligibility, approval likelihood, loan type, borrower profile, and lender flexibility into a recommendation.

New American Funding also has real pricing-cluster traction. Its Mortgage Pricing and Costs top-3 rate matches or exceeds several more visible comparison-layer brands, showing that the brand can compete when the prompt turns rate-sensitive.

Where New American Funding Has the Clearest AI Visibility Gaps

The clearest gap is comparison-stage absence. Mortgage Lender Comparisons produces no positive visibility, top-3 placement, or rank-1 capture for New American Funding in this packet.

The second gap is distance from Rocket Mortgage. Rocket dominates overall presence, valid recommendation coverage, top-3 capture, rank-1 capture, and average recommended rank.

The third gap is platform conversion. ChatGPT and Copilot show meaningful positive visibility but no rank-1 capture, while Perplexity shows only 1.09% positive visibility.

The fourth gap is role specificity. New American Funding is strongly associated with lower-credit and flexible underwriting contexts, but it needs broader evidence to win more general best-lender and compare-lender prompts.

Biggest Opportunity

New American Funding's biggest opportunity is to make its flexible-borrower positioning comparison-ready.

The brand already has AI-readable strengths around manual underwriting, FHA, VA, low-credit borrower fit, refinance options, and rate competitiveness. The next step is to build stronger source-backed evidence around how New American Funding compares against Rocket Mortgage, Better Mortgage, loanDepot, and rate-comparison marketplaces.

Competitive Landscape

New American Funding sits in the same top-3 rate tier as loanDepot and behind Better Mortgage. It is materially below Rocket Mortgage, but it has stronger recommendation capture than LendingTree, NerdWallet, Rate, AmeriSave Mortgage, and Own Up.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Rocket Mortgage

26.16%

19.95%

1.3233

0.7534

Better Mortgage

6.20%

2.59%

1.7636

0.8208

loanDepot

4.62%

2.03%

1.9512

0.6632

New American Funding

4.62%

1.80%

1.8537

0.6358

LendingTree

1.35%

0.68%

1.9167

0.2054

NerdWallet

1.13%

0.90%

1.4000

0.1754

Rate

0.79%

0.11%

2.1429

0.1733

AmeriSave Mortgage

0.68%

0.34%

2.0000

0.4118

Own Up

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Prompt Evidence

ChatGPT / Best Mortgage LendersWhich mortgage lender is the best? New American Funding appears in a lower-credit borrower context.

Copilot / Best Mortgage LendersWhich bank is best for cash-out refinancing? New American Funding appears as an option for borrowers with lower credit.

Gemini / Best Mortgage LendersWho is the best lender for FHA loans? New American Funding appears with manual-underwriting and low-credit-score flexibility.

Google AI Mode / Best Mortgage Lendersbest va lender New American Funding appears as a flexible VA-lending option for lower credit scores.

Google AI Mode / Mortgage Pricing and Costswho has the best refinance rates New American Funding appears in a low-interest-rate context.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit

Map the best-lender, comparison, pricing, refinancing, FHA, VA, and lower-credit borrower prompts where New American Funding appears, disappears, or gets displaced.

The audit should separate general mortgage prompts from borrower-profile prompts where New American Funding has clearer fit.

Phase 2: Recommendation Readiness Plan

Prioritize prompts where New American Funding has strong product fit but weak recommendation conversion.

The first priority is Mortgage Lender Comparisons, where the brand shows no positive visibility or ranked recommendation credit in this packet.

Phase 3: Owned Answer Layer Buildout

Build answer-ready pages around FHA loans, VA loans, manual underwriting, credit flexibility, refinance fit, rate transparency, and borrower-profile comparison.

The goal is to help AI systems explain when New American Funding is the right lender, not only mention it as an alternative.

Phase 4: Citation / Authority Layer Development

Strengthen third-party evidence across mortgage lender reviews, FHA and VA lender rankings, refinance guides, rate-comparison resources, and borrower forums.

The citation layer should repeatedly connect New American Funding to flexible underwriting, underserved borrower fit, low-credit options, and competitive refinance scenarios.

Phase 5: Monthly AI Visibility & Recommendation Tracking

Track whether New American Funding expands from flexible-borrower recognition into broader comparison and pricing-cluster recommendation capture.

The key watchpoint is whether Mortgage Lender Comparisons begins producing top-3 placements and whether rank-1 capture improves on ChatGPT and Copilot.

Why This Matters

New American Funding has a clear AI-readable role: it is repeatedly associated with borrowers who may not fit the cleanest conventional lending profile.

That role is commercially valuable because many mortgage shoppers ask AI systems for lenders based on credit score, loan type, refinancing need, VA eligibility, FHA fit, or approval flexibility.

But the packet also shows that role-specific relevance is not the same as category control. New American Funding needs stronger comparison-ready evidence so AI systems can recommend it not only for flexible borrower scenarios, but also when users ask how it stacks up against the category leaders.

Core Metrics

Metric

Value

Mentions

151

Valid recommendations

89

Top 3 recommendation count

41

Rank #1 recommendation count

16

Average recommended rank

1.8537 (rank-eligible recommendations only; only positive valid recommendations receive rank credit)

Positive mentions

96

Neutral mentions

55

Negative mentions

0

Raw mention presence rate

17.02%

Valid recommendation coverage

10.03%

Top 3 recommendation rate

4.62%

Rank #1 recommendation rate

1.80%

Net sentiment score

0.6358

Sentiment & Recommendation by Platform

Platform

Positive visibility rate

Rank-1 rate

Readout

ChatGPT

7.69%

0.00%

Good visibility, no first-position capture

Copilot

13.79%

0.00%

Strong visibility, but no rank-1 support

Gemini

10.87%

1.09%

Solid visibility with limited first-position capture

Google AI Mode

14.90%

3.92%

Strongest positive visibility and rank-1 surface

Google AI Overviews

10.09%

1.75%

Meaningful visibility with some rank-1 support

Perplexity

1.09%

1.09%

Very small visibility base with rank-1 conversion

Methodology

This is a one-company report for New American Funding. All other tracked brands are treated as competitors relative to New American Funding.

The reporting month is May 2026. The structured dataset was loaded on May 19, 2026, and the Stage 0 extraction was generated on May 19, 2026.

The dataset covers six AI environments: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Google AI Overviews. The packet contains 887 observations across the tracked company universe.

The competitor universe is AmeriSave Mortgage, Better Mortgage, LendingTree, loanDepot, NerdWallet, Own Up, Rate, and Rocket Mortgage.

Public clusters were normalized from Stage 0 as Best Mortgage Lenders, Mortgage Lender Comparisons, and Mortgage Pricing and Costs.

A mention counts when New American Funding appears in an AI answer. A valid recommendation requires positive, shortlist-quality lender or provider inclusion rather than a passive citation, neutral comparison reference, or source-layer mention.

Per the dataset's methodology inputs, sentiment is scored "negative = -1, neutral = 0, positive = 1." Rank eligibility is defined as: "Only positive valid recommendations receive rank credit."

This is a point-in-time packet. AI outputs shift with platform updates, prompt phrasing, geography, personalization, borrower profile, loan type, source freshness, and rate-market changes.

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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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