Better.com Appears in 34.7% 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

  • Better.com appears in about a third of benchmark answers and is recommended in most of those appearances, but it rarely takes first place.
  • The main factual issue centers on conflicting AI claims about lender and origination fees, which should be verified against primary sources first.
  • Cited third-party pages and Better.com’s own site need review because citation volume does not prove which pages shaped the answers.
  • The 90-day plan focuses on baseline measurement, verified page briefs, publisher requests, and buyer-question content tied to refinance and online mortgage searches.

Answer Capsule

In November 2026, Better.com appeared in 184 of 531 AI answers included in the Mortgage Refinance Lenders benchmark (34.65%). It received 151 recommendations (28.44%), with 115 Top 3 placements and 12 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 Better.com mentions, recommendations and placements compare with its Mortgage Refinance Lenders peers?

Better.com recorded 184 mentions (34.65%) and 151 recommendations (28.44%) across 531 answers included in the benchmark. Top 3 placements numbered 115; first-place recommendations numbered 12. Framing among its mentions was 153 positive, 31 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%

Better.com appears in roughly a third of the answers and is recommended in most of those appearances, so its reach is real rather than incidental. The gap sits in position: it lands in the top three often but rarely takes first place. For a refinance lender, that pattern means the brand is on the buyer's list but seldom the opening name.

The practical question is whether Better.com wants to compete for first place or defend its shortlist presence. The agency would treat these as different jobs, since the first depends on how answers frame the lender's strengths and the second on keeping the current footing. A scorecard separating reach, recommendation and position would make that choice explicit before any content work begins.

What changed since last month

Questions This Section Answers

  • How did Better.com counts and coverage differ across the available monthly snapshots?

Metric

Sep 2026

Oct 2026

Nov 2026

Mentions

180 / 570 (31.58%)

152 / 529 (28.73%)

184 / 531 (34.65%)

Recommendations

155 / 570 (27.19%)

146 / 529 (27.60%)

151 / 531 (28.44%)

Top 3 recommendations

65 / 570 (11.40%)

101 / 529 (19.09%)

115 / 531 (21.66%)

#1 recommendations

11 / 570 (1.93%)

13 / 529 (2.46%)

12 / 531 (2.26%)

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

From October 2026 to November 2026, Better.com's mention count rose from 152 to 184, while its recommendation count rose from 146 to 151. The recommendation rate was 27.60% and 28.44% respectively.

Across the three recorded months, mentions and recommendations moved within a fairly narrow band, while top-three placements climbed steadily. First-place counts stayed low throughout. The November figures are a separate sample from October, so the movement describes what was recorded, not a trend the agency can attribute to any cause.

The useful reading is that Better.com's shortlist presence strengthened while its lead position did not. That makes the top-three gain worth protecting and the first-place ceiling worth investigating. The agency would set the next scorecard against the same measures so the client can see whether the pattern holds or shifts.

AI recommendation trend

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

0%10%20%30%40%Sep 2026Oct 2026Nov 202627.19%Sep 2026: 27.19%27.60%Oct 2026: 27.60%28.44%Nov 2026: 28.44%
  • Better.com28.44%

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 Better.com?

AI answers contained 4 conflicting claims about Better.com: 0 critical, 0 high, 4 medium, 0 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.

The benchmark surfaced a small set of conflicting claims about Better.com, all rated medium priority, which means none demands emergency handling. Their value is as a starting list: they tell the client where AI answers disagree about the lender's fee structure, and those disagreements are the kind a refinance shopper notices.

A visibility comparison alongside that list would let the client see which disagreements sit near the answers where Better.com is recommended and which sit further out. The agency would build both as working documents, with each claim assigned an owner and a verification step before anyone drafts a correction.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Better.com should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

lender fees / origination fees

medium

zero lender fees / $0 origination

has lender charges/fees to compare

origination/underwriting/application fees

medium

charges zero origination, underwriting, or application fees

charges minimal internal fees (not zero)

lender fees / origination fees

medium

zero lender fees / $0 origination

has lender charges/fees to compare

lender fees / origination fees

medium

zero lender fees / $0 origination

has lender charges/fees to compare

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 cluster around fees: whether Better.com charges zero lender or origination fees, and whether it charges minimal internal fees instead. Both versions are quoted from AI answers, not confirmed company facts, so neither can be treated as the error to fix. Different dates or different product versions could account for the apparent split.

The agency would verify the current fee position against primary company sources first, then prepare conditional page briefs that only go live once the facts are approved. If the answers turn out to describe different offers or periods, the brief becomes a clarification rather than a correction.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Better.com?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://cnbc.com/select/best-online-mortgage-lenders/

37

29

4

https://businessinsider.com/personal-finance/mortgages/better-mortgage-review

2

1

3

https://loandepot.com/

19

5

3

https://rocketmortgage.com/

15

5

3

https://consumerfinance.gov/ask-cfpb/how-do-i-find-the-best-loan-available-when-im-shopping-for-a-home-mortgage-loan-en-137/

12

5

3

https://lendingtree.com/home/mortgage/what-is-an-online-mortgage/

6

5

3

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.

The cited pages selected for review include a large consumer finance comparison, a dedicated review of Better.com, and several competitor and educational pages. Citation volume is highest for the comparison page, but a citation does not show that the page shaped the answer, and a page linked to a conflicting claim is not necessarily its source.

The agency would check each page's current contents before making any request, then approach publishers only where a specific, evidence-backed clarification is justified. Requests would be framed as factual updates, with no assumption that a publisher erred or that an edit will change how AI answers describe the lender.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Better.com 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://better.com/

13

9

9

https://better.com/faq/about-better/is-better-a-direct-lender

2

0

0

https://better.com/mortgage-rates

2

1

0

https://better.com/about-us

1

0

0

https://better.com/about-us/licensing-disclosure

1

0

0

https://better.com/cash-out-refinance-rates

1

0

0

https://better.com/content/what-is-better-mortgage

1

0

0

https://better.com/faq

1

0

0

The company's website was cited 24 times across 10 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.

Better.com's own site was cited across a spread of pages, with the homepage carrying most of that attention and the remaining pages drawing little or none. The fee-related questions sit closest to the disputed claims, yet the pages selected for review show almost no answer citations, which makes them candidates for clearer, better-sourced content rather than proof that anything is missing.

The agency would prepare page briefs using approved facts and the questions buyers actually ask, starting with the pages nearest the fee dispute. Each brief would note existing coverage before proposing changes, so the client is not paying for pages that already say the right thing.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Better.com?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best online mortgage?

6

6

6

Who is the best online mortgage broker?

4

4

4

What is the best online mortgage lender?

3

3

3

What's the best company to refinance your home?

5

3

3

Who is the best lender for mortgages?

5

4

2

Which is the best mortgage lender?

4

3

2

What are the top 10 mortgage companies?

4

2

2

What bank is best for mortgage loans?

3

2

2

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

The recorded questions are broad shopping questions: best online mortgage, best online broker, best lender to refinance with. Better.com is mentioned and recommended in most of the answers to these questions, which suggests the brand already surfaces where buyers compare options. These are answer observations, not search volume, and they do not show that the website lacks matching content.

The agency would check existing coverage against each question before proposing anything new, then draft buyer-question content only where a genuine gap exists. Priority would go to the refinance and online-lender questions where Better.com is recommended but not leading.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Better.com 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 produces the baseline scorecard, a scoped list of claims to verify, and a shortlist of pages and sources, each with an owner and a review status. Nothing is corrected in that window; the point is to establish what is confirmed and what still needs checking.

The second month turns approved facts into page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work would be reported apart from measured answer outcomes, since neither the briefs nor the requests guarantee a change in visibility.

Methodology

Questions This Section Answers

  • How are Better.com 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 month-to-month 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 placements sit inside those recommendations rather than adding to them.

Answers can name several lenders, so company counts do not sum to distinct answers. Citation appearances across all captured answers are a wider measure than benchmark answers citing a page. The current contents of cited pages and the disputed fee claims still need independent verification.

Our first three priorities

The first priority is settling the fee question with primary sources, because it sits behind the conflicting claims and touches the pages buyers are most likely to check. Until that is resolved, no correction or page rewrite should proceed.

The second is a focused review of the comparison and review pages that carry the most citations, with requests made only where a specific factual clarification is warranted. The third is buyer-question content around refinancing and online lending, drafted after checking existing coverage. Together these protect Better.com's shortlist presence while testing whether clearer, verified content can move it toward first place.

/ 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