CiteWorks Studio

New American Funding AI Market Strategy Report - Mortgage Refinance Lenders

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • New American Funding appeared in 19.5% of qualified AI responses but reached the top three in only 3.16%, showing a clear gap between mention presence and recommendation strength.
  • The brand’s sentiment profile was a standout: 92 positive mentions, 19 neutral mentions, and no negative mentions, resulting in a 0.83 net sentiment score.
  • Google AI Mode was the strongest platform, delivering the highest positive visibility rate at 24.8% and the brand’s only rank-one finishes.
  • The main growth opportunity is improving conversion from positive mentions to shortlist placement, especially on refinance-focused prompts where the brand already shows traction.

Answer Capsule

New American Funding holds a stable mid-tier position in AI-generated mortgage refinance recommendations, with valid recommendation coverage of 16.0% in September 2026. The brand shows a meaningful gap between presence and recommendation conversion: it appears in 19.5% of qualified observations but converts only a portion of that presence into shortlist inclusion. Its clearest strength is strong positive framing, with a net sentiment score of 0.83 and no negative mentions recorded. The clearest opportunity lies in converting its high-quality mention profile into stronger top-three placement, where it currently holds only a 3.16% rate.

Who This Report Is For

This report is for mortgage lending executives, digital strategy leaders, and growth teams at New American Funding who need to understand how AI systems currently recommend the brand in mortgage refinance discovery prompts.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

New American Funding

Category / market studied

Mortgage Refinance Lenders

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 active cluster

AI observations analyzed

570

Competitors tracked

10

Executive Summary

New American Funding holds a stable but modest position in AI-generated mortgage refinance recommendations. The benchmark shows valid recommendation coverage of 16.0% in September 2026, down from 19.9% in July 2026, a decline of 3.9 points that did not exceed normal month-to-month variation. The brand recorded 111 mentions across 570 qualified observations, with 92 positive mentions, 19 neutral mentions, and zero negative mentions.

The strongest signal for New American Funding is framing quality. Its net sentiment score of 0.83 ranks among the highest in the tracked set, behind only Better.com at 0.93. The brand has no negative mentions in the September 2026 measurement, which indicates that when AI systems reference New American Funding, they do so in a positive or neutral context.

The clearest weakness is recommendation conversion. New American Funding appears in 19.5% of qualified observations but achieves only a 3.16% top-three rate and a 0.35% rank-one rate. This means the brand is frequently mentioned but rarely surfaced as a leading option. Its average recommended rank of 4.33 places it outside the top-three window that carries the strongest buyer attention.

The strongest platform signal comes from Google AI Mode, where New American Funding achieves its highest positive visibility rate at 24.8% and its only rank-one finishes. The clearest platform gap is on Copilot, where the brand appears in 11.5% of observations but records no top-three placements.

What New American Funding Is Winning

New American Funding's clearest evidence-backed win is its sentiment profile. The brand recorded 92 positive mentions, 19 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.83. This indicates that AI systems frame the brand favorably when they reference it.

The brand also shows a narrow but meaningful recommendation pocket on Google AI Mode. New American Funding achieves a 24.8% positive visibility rate on that platform, its strongest platform-level performance, and records its only rank-one finishes there with a 1.42% rank-one rate.

New American Funding's stability is itself a modest win. The brand moved within normal month-to-month variation across the full July-to-September series, with September's recovery of 3.9 points from August bringing it back within normal range of the July baseline.

Where New American Funding Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does New American Funding appear in AI responses but rarely earn top-three placement?
  • Which platform shows the widest gap between presence and recommendation strength?

New American Funding's primary gap is the conversion of presence into recommendation placement. The brand appears in 111 of 570 qualified observations but is recommended in the top three only 18 times. This creates a pattern of visibility without recommendation strength, where AI systems acknowledge the brand but do not surface it as a leading option.

The gap is most visible when compared with the category leader. Rocket Mortgage holds a 98.2% presence rate and converts that into a 44.2% top-three rate. New American Funding holds a 19.5% presence rate but converts only a small share into top-three placement. The brand is present in roughly one of every five responses but recommended in the top three in roughly one of every 30.

Platform-level gaps reinforce this pattern. On Copilot, New American Funding appears in 11.5% of observations but records zero top-three placements and an average recommended rank of 8. On ChatGPT, the brand appears in 15.1% of observations with a 4.1% top-three rate. The brand's strongest platform, Google AI Mode, still leaves it outside the top three in the majority of its appearances.

Biggest Opportunity

New American Funding's clearest opportunity is converting its strong positive framing into top-three recommendation placement on Google AI Mode. The brand already achieves its highest positive visibility rate on that platform at 24.8%, and it records its only rank-one finishes there. Google AI Mode also represents the largest observation base in the tracked set at 141 observations, giving the brand the most room to grow.

The path forward is to strengthen the attributes that move the brand from a positively framed mention into a recommended option. The benchmark shows the brand is trusted when referenced but not prioritized when AI systems build shortlists. Closing that gap on the platform where the brand already performs best is the most direct route to improving its overall recommendation position.

Competitive Landscape

Questions This Section Answers

  • Where does New American Funding rank against competitors on recommendation placement metrics?
  • What does the comparison of its sentiment score to its top-three rate reveal about its position?

Rocket Mortgage holds dominant recommendation-stage strength in the mortgage refinance category, with loanDepot and Bank of America Corp. forming the next tier. New American Funding sits in the middle of the tracked set, ahead of United Wholesale Mortgage, Wells Fargo & Co., Rate, and Chase Credit Journey but behind the leading brands on every placement metric.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Rocket Mortgage

44.21%

30.53%

1.68

0.6786

loanDepot

13.33%

1.75%

3.70

0.675

Better.com

11.40%

1.93%

2.93

0.9278

Bank of America Corp.

11.23%

0.88%

3.48

0.6562

PennyMac

7.54%

1.23%

3.51

0.4979

New American Funding

3.16%

0.35%

4.33

0.8288

United Wholesale Mortgage

4.04%

1.58%

2.94

0.3038

Rate

1.58%

0.18%

3.95

0.7955

Chase Credit Journey

0.35%

0.00%

4.00

0.625

Wells Fargo & Co.

0.18%

0.00%

4.72

0.3962

Average recommended rank covers rank-eligible recommendations only.

New American Funding's position in the table shows a brand with strong sentiment but weak placement. Its 0.83 sentiment score is the second-highest in the tracked set, yet its top-three rate of 3.16% places it below brands with weaker sentiment profiles. The numbers indicate that AI systems speak favorably about New American Funding but do not prioritize it in recommendation shortlists.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "Which bank loan is best for a home loan?" Result: New American Funding appeared in the response with positive framing but was not placed in the top three recommended options.

ChatGPT / Brand Recommendation Prompt: "Who is the best lender for mortgages?" Result: New American Funding was mentioned in a positive context but ranked outside the top three, consistent with its overall pattern of presence without strong placement.

Google AI Mode / Brand Recommendation Prompt: "mortgage refinancing" Result: New American Funding achieved one of its rank-one finishes on this platform, showing that specific refinance prompts can surface the brand as a primary recommendation.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What phase-by-phase strategy would strengthen New American Funding's conversion from mention to recommendation?

Phase 1: AI Market Discovery Audit Map which high-intent mortgage refinance prompts surface New American Funding and which competitors take the recommendation when the brand is mentioned but not chosen.

Phase 2: Recommendation Readiness Plan Identify the attributes AI systems associate with New American Funding and compare them against the attributes attached to brands that win top-three placement.

Phase 3: Owned Answer Layer Buildout Strengthen owned content around refinance-specific topics where the brand already earns rank-one finishes, particularly on Google AI Mode.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that gives AI systems more retrievable sources supporting New American Funding as a recommended option rather than a referenced one.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether improvements in the citation and answer layers convert the brand's strong sentiment into higher top-three and rank-one rates.

Why This Matters

AI-generated recommendations are becoming a primary input into mortgage refinance decisions. When a borrower asks an AI system which lender to use, the brands named first and most often gain an advantage that traditional search visibility cannot replicate. New American Funding is present in these conversations and is framed positively, but it is not being chosen.

The next move is not broader visibility. The brand already appears in roughly one of every five AI responses with a strong sentiment profile. The targeted correction is in the prompt, page, and citation layers that determine whether a positive mention becomes a recommendation. Until that conversion improves, New American Funding will remain a brand that AI systems like but do not choose.

Core Metrics

Metric

Value

Mentions

111

Valid recommendations

91

Top 3 recommendation count

18

Rank #1 recommendation count

2

Average recommended rank

4.33

Positive mentions

92

Neutral mentions

19

Negative mentions

0

Raw mention presence rate

19.47%

Valid recommendation coverage

15.96%

Top 3 recommendation rate

3.16%

Rank #1 recommendation rate

0.35%

Net sentiment score

0.8288

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For New American Funding, the calculation is (92 × 1 + 19 × 0 + 0 × -1) / 111, producing a score of 0.83.

This score matters because unclassified mention counts are misleading. A brand with high raw mention volume but negative framing is in a different competitive position than a brand with moderate mention volume and positive framing. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

11

10

1

0

0.9091

Positive, but sample too small

Copilot

9

5

4

0

0.5556

Present as context, not recommendation

Gemini

13

12

1

0

0.9231

Strongest positive framing

Perplexity

16

14

2

0

0.875

Positive, but not recommendation-led

AI Overviews

21

16

5

0

0.7619

Present, but not recommendation-led

AI Mode

41

35

6

0

0.8537

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of New American Funding's AI visibility and recommendation position in the Mortgage Refinance Lenders category, not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced for movement context.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The September 2026 measurement began with 800 prompt-surface observations, of which 570 qualified after relevance and reservation stages.
  5. The competitor universe includes 10 tracked brands: Bank of America Corp., Better.com, Chase Credit Journey, loanDepot, New American Funding, PennyMac, Rate, Rocket Mortgage, United Wholesale Mortgage, and Wells Fargo & Co.
  6. All qualified observations in September 2026 fell into the Brand Recommendation cluster. No observations were captured for pricing, value, or multi-brand comparison questions.
  7. Stage 0 extraction captured prompt-level data including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of the brand in an AI response, regardless of whether the brand is recommended.
  9. A valid recommendation is defined as an appearance in a recommendation shortlist where the brand is positively recommended, not merely referenced or listed.
  10. The public benchmark does not measure market share, sales attribution, organic-search ranking performance, social media volume, or private AI channels.
  11. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation.
  12. Limitations: the public series measures brand recommendation discovery only, and percentage movements for brands with small counts carry less stability than category leaders.

See How AI Is Recommending Your Brand

The public benchmark shows where New American Funding stands in AI-generated mortgage refinance recommendations. A company-level AI visibility audit can map the specific prompts, competitors, and evidence sources that determine whether the brand is mentioned or recommended, and build a prioritized strategy for closing that gap.

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Understanding AI search visibility.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

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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