New American Funding Appears in 20.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • New American Funding is mentioned often, but recommendations are less frequent and first-place placements are absent in the November sample.
  • Two conflicting claims need verification first: headquarters location and the Pathway to Homeownership down payment assistance amount.
  • Several external pages and core website pages were cited, but most do not yet support recommending answers.
  • The strongest content opportunities cluster around mortgage company comparisons, online mortgage, FHA lending, first-time buyers, and refinance questions.

Answer Capsule

In November 2026, New American Funding appeared in 108 of 531 AI answers included in the Mortgage Refinance Lenders benchmark (20.34%). It received 96 recommendations (18.08%), with 20 Top 3 placements and 0 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do New American Funding mentions, recommendations and placements compare with its Mortgage Refinance Lenders peers?

New American Funding recorded 108 mentions (20.34%) and 96 recommendations (18.08%) across 531 answers included in the benchmark. Top 3 placements numbered 20; first-place recommendations numbered 0. Framing among its mentions was 99 positive, 9 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Rocket Mortgage

523

98.49%

445

83.80%

407

76.65%

265

49.91%

2

loanDepot

345

64.97%

293

55.18%

112

21.09%

16

3.01%

3

Bank of America Corp.

273

51.41%

218

41.05%

99

18.64%

34

6.40%

4

Chase Credit Journey

305

57.44%

173

32.58%

63

11.86%

9

1.69%

5

Better.com

184

34.65%

151

28.44%

115

21.66%

12

2.26%

6

PennyMac

183

34.46%

137

25.80%

33

6.21%

10

1.88%

7

United Wholesale Mortgage

174

32.77%

127

23.92%

100

18.83%

37

6.97%

8

New American Funding

108

20.34%

96

18.08%

20

3.77%

0

0.00%

9

Rate

424

79.85%

65

12.24%

24

4.52%

3

0.56%

10

Wells Fargo & Co.

86

16.20%

40

7.53%

15

2.82%

2

0.38%

New American Funding is mentioned far more often than it is recommended, and its recommendations rarely come with a leading position. That pattern suggests the company is known to the answering systems but not consistently chosen as the answer. For a refinance lender, being named without being endorsed leaves the brand visible but not persuasive at the moment a borrower is deciding.

The absence of first-place recommendations is the sharper signal. Mentions and recommendations are close in number, so the gap is less about being overlooked and more about where the company lands when answers rank options. The agency would treat this as a positioning question first, then test whether clearer, verifiable strengths change how answers frame the company.

What changed since last month

Questions This Section Answers

  • How did New American Funding counts and coverage differ across the available monthly snapshots?

Metric

Sep 2026

Oct 2026

Nov 2026

Mentions

111 / 570 (19.47%)

100 / 529 (18.90%)

108 / 531 (20.34%)

Recommendations

91 / 570 (15.96%)

91 / 529 (17.20%)

96 / 531 (18.08%)

Top 3 recommendations

18 / 570 (3.16%)

22 / 529 (4.16%)

20 / 531 (3.77%)

#1 recommendations

2 / 570 (0.35%)

4 / 529 (0.76%)

0 / 531 (0.00%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, New American Funding's mention count rose from 100 to 108, while its recommendation count rose from 91 to 96. The recommendation rate was 17.20% and 18.08% respectively.

Across the three recorded months, mentions and recommendations moved within a narrow band, and the recommendation count in November was the highest of the three. First-place recommendations fell to zero in November after small counts in the two prior months. These are separate samples, so the movement should be read as a record of what was observed, not as a trend with a known cause.

The practical point is that the company's presence is stable while its top position is not. The agency would keep watching both measures month to month and avoid treating any single month's shift as evidence that a change worked.

AI recommendation trend

Observed recommendation rate (%), Sep 2026 to Nov 2026

0%5%10%15%20%Sep 2026Oct 2026Nov 202615.96%Sep 2026: 15.96%17.20%Oct 2026: 17.20%18.08%Nov 2026: 18.08%
  • New American Funding18.08%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for New American Funding?

AI answers contained 2 conflicting claims about New American Funding: 0 critical, 0 high, 1 medium, 1 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

Two conflicting claims surfaced about the company, one rated medium and one low, with none rated critical or high. That is a manageable fact-checking load rather than a crisis. The ratings indicate where to spend review time first; they do not show that the company or any publisher got something wrong.

The agency would build a visibility comparison alongside a short list of claims to verify, each tied to a primary source and an owner. That gives the client a clear order of work without committing to corrections before the facts are confirmed.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about New American Funding should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

headquarters location

low

Santa Ana, California

Tustin, California

Pathway to Homeownership down payment assistance amount

medium

up to $6,000

up to $7,500

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed topics are the headquarters location and the down payment assistance amount under the Pathway to Homeownership program. Both pairs of claims are quoted from AI answers, not verified company facts, so neither side should be treated as correct yet. Different dates or program versions could explain either conflict.

The agency would verify each topic against current company records and program documentation before drafting anything. If a page brief is warranted, it would state only approved facts and note the date they apply to. Where the record is ambiguous, the topic stays out of the correction queue.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for New American Funding?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://money.usnews.com/loans/mortgages/reviews/newamericanfunding-mortgage

5

0

1

https://linkedin.com/company/new-american-funding/

1

0

1

https://mpamag.com/us/companies/new-american-funding/488315

1

0

1

https://lametrohomefinder.com/blog/how-much-should-i-offer-house-los-angeles

1

0

1

https://pitchbook.com/profiles/company/114052-51

1

0

1

https://realtor.com/realestateagents/58e5e0e60b1c2d00119cb207

1

0

1

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several cited pages relate to the company, including a review page and a business profile, and each is linked to a conflicting claim in the captured answers. A link does not show that the page caused the claim, and the pages still need to be read in their current form. The review page drew the most citation appearances among those listed.

The agency would check each page's present content, then decide whether an evidence-backed request to the publisher is justified. Requests would be specific and factual, with no assumption that a publisher erred or that a citation shaped an answer.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed New American Funding website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://newamericanfunding.com/

6

0

0

https://newamericanfunding.com/about-us/

5

0

0

https://newamericanfunding.com/loan-types/

3

0

0

https://newamericanfunding.com/mortgage-rates/

3

2

0

https://newamericanfunding.com/about-us/our-story/

2

0

0

https://newamericanfunding.com/_property/details.aspx

1

0

0

https://newamericanfunding.com/branches/springfieldil

1

0

0

https://newamericanfunding.com/buy-a-home/pathway-to-homeownership/

1

0

0

The company's website was cited 34 times across 20 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company's own site was cited across many page addresses, but the selected pages show almost no benchmark answers citing them, and none of the recommending answers did. That gap is worth understanding before rewriting anything. A cited page is not automatically a page that supported a recommendation.

The agency would prepare page briefs for the homepage, about pages, loan types and rates, using approved facts and the questions borrowers actually ask. Each brief would check existing coverage first, so new work fills a real gap rather than duplicating what is already there.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for New American Funding?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What are the top 25 mortgage companies?

6

6

4

What are the top 10 mortgage companies?

4

3

3

What is the best online mortgage?

6

3

3

Who is the best FHA lender?

5

3

3

What is the best lender for a first time home buyer?

2

2

2

What is the best online mortgage lender?

3

2

2

What lenders do cash-out refinance?

3

2

2

What's the best company to refinance your home?

5

2

2

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around lender comparisons, online mortgages, FHA lending, first-time buyers and cash-out refinance. New American Funding appears in answers to most of these, and is recommended in several, which suggests the brand is already part of the consideration set for these buyer questions.

The agency would turn these observations into content briefs, checking existing pages before proposing anything new. Briefs would answer the buyer's actual question in plain terms, with approved facts and clear next steps, rather than restating marketing language.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed New American Funding work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. The second month produces approved page briefs and any justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately. The third month adds buyer-question content briefs and a fresh scorecard.

Completed work will be reported separately from measured answer outcomes. The plan sets up the conditions for improvement; it does not promise a change in visibility, and later comparisons will carry the same sample limits as this report.

Methodology

Questions This Section Answers

  • How are New American Funding answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 531 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 4964 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Sep 2026

570

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

529

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

531

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The answers were collected on dates that have not been verified, and the monthly samples differ, so comparisons show what was recorded rather than why it changed. A company counts as recommended only when an answer endorses it with positive wording, and top-three and first-place counts sit inside those recommendations rather than adding to them.

Answers can name several companies, so counts cannot be summed into a number of distinct answers. Sentiment describes answer wording, not customer satisfaction. Cited pages and disputed claims still require independent verification.

Our first three priorities

First, verify the two disputed claims against current primary sources, starting with the down payment assistance amount, and record the outcome before any correction is considered. Second, review the cited external pages in their current form and decide whether any evidence-backed publisher request is justified. Third, prepare page briefs for the company's core pages and the buyer questions where it already appears.

Each step has a clear owner and a recorded decision, so the client can see what was confirmed, what was left unchanged and what was requested. Visibility outcomes will be measured separately in the next scorecard.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT