Breeze Appears in 25.4% 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

  • Breeze appears in 58 of 228 benchmark answers, but its top-three and first-place placements lag behind category leaders.
  • The biggest gap is position, not reach: Breeze is often mentioned or recommended, but rarely ranked first.
  • No conflicting claims were recorded in the captured answers, so the first step is baseline measurement rather than correction.
  • Priority work focuses on third-party comparison pages and buyer questions about short-term disability and income protection.

Answer Capsule

In November 2026, Breeze appeared in 58 of 228 AI answers included in the Disability Insurance benchmark (25.44%). It received 31 recommendations (13.60%), with 12 Top 3 placements and 2 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 Breeze mentions, recommendations and placements compare with its Disability Insurance peers?

Breeze recorded 58 mentions (25.44%) and 31 recommendations (13.60%) across 228 answers included in the benchmark. Top 3 placements numbered 12; first-place recommendations numbered 2. Framing among its mentions was 32 positive, 26 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Guardian

210

92.11%

98

42.98%

77

33.77%

34

14.91%

2

MassMutual

172

75.44%

93

40.79%

80

35.09%

35

15.35%

3

Mutual of Omaha

140

61.40%

73

32.02%

37

16.23%

21

9.21%

4

Northwestern Mutual

111

48.68%

50

21.93%

35

15.35%

11

4.82%

5

Assurity

62

27.19%

42

18.42%

20

8.77%

8

3.51%

6

The Standard

89

39.04%

37

16.23%

15

6.58%

1

0.44%

7

Breeze

58

25.44%

31

13.60%

12

5.26%

2

0.88%

8

Principal

81

35.53%

22

9.65%

14

6.14%

2

0.88%

9

Ameritas

46

20.18%

18

7.89%

8

3.51%

3

1.32%

10

Aflac

57

25.00%

17

7.46%

13

5.70%

4

1.75%

Breeze is mentioned in roughly a quarter of the answers in this benchmark, and it is affirmatively recommended in a meaningful share of them. That reach is real, but the company sits well behind the leaders on both measures, so the practical question is how to turn recognition into stronger endorsement.

Placement is the sharper gap. Breeze appears in the top three far less often than it is recommended, and first-place finishes are rare. Reach without position means the company is in the conversation but seldom the answer. Proposed work should focus on the questions where Breeze is already recommended but not placed first, since those are the most plausible places to strengthen standing.

What changed since last month

Questions This Section Answers

  • How did Breeze counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

48 / 314 (15.29%)

43 / 252 (17.06%)

51 / 222 (22.97%)

42 / 265 (15.85%)

58 / 228 (25.44%)

Recommendations

44 / 314 (14.01%)

36 / 252 (14.29%)

42 / 222 (18.92%)

37 / 265 (13.96%)

31 / 228 (13.60%)

Top 3 recommendations

14 / 314 (4.46%)

14 / 252 (5.56%)

13 / 222 (5.86%)

11 / 265 (4.15%)

12 / 228 (5.26%)

#1 recommendations

1 / 314 (0.32%)

1 / 252 (0.40%)

2 / 222 (0.90%)

1 / 265 (0.38%)

2 / 228 (0.88%)

From October 2026 to November 2026, Breeze's mention count rose from 42 to 58, while its recommendation count fell from 37 to 31. The recommendation rate was 13.96% and 13.60% respectively.

Across the selected monthly samples, Breeze's mention count moved up in the latest month while its recommendation count moved down. The recommendation rate was broadly similar in the two months. These are separate samples, so the movement describes what was recorded rather than a trend with a known cause.

The comparability limit matters here. A different answer total does not explain why counts or rates changed, and the smaller latest sample should not be read as the reason for any shift. Proposed work would track mentions, recommendations and placements as distinct measures month to month, so the client sees which one is moving before deciding where to act.

AI recommendation trend

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

0%5%10%15%20%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202614.01%Jul 2026: 14.01%14.29%Aug 2026: 14.29%18.92%Sep 2026: 18.92%13.96%Oct 2026: 13.96%13.60%Nov 2026: 13.60%
  • Breeze13.60%

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

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Breeze?

AI answers contained 0 conflicting claims about Breeze: 0 critical, 0 high, 0 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.

No conflicting claims about Breeze were recorded in the captured answers, so there is no fact-check queue to work through at present. That is a clean starting position, not a guarantee, and it does not establish that any company or publisher got something wrong.

The useful measurement step is a visibility comparison that sets Breeze against the leading carriers on mentions, recommendations and placement together, so priorities reflect the whole picture rather than one number. Alongside it, a standing list of claims to verify would let the client respond quickly if disputed statements appear in later samples.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Breeze should be verified before proposed page edits?

No results are available for this part of the analysis.

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.

This part of the analysis returned no results, so there are no disputed topics to work from and no page briefs can be justified yet. The absence of findings is itself informative: nothing in the captured answers currently calls for a website correction.

If disputed claims do surface later, the first step is verification, not editing. The entity, date and source need to be resolved against current primary-source material before anyone decides whether a correction is warranted, since different dates can explain an apparent conflict. Page briefs would follow only confirmed facts.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Breeze?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://meetbreeze.com/

1

1

0

https://meetbreeze.com/disability-insurance/short-term-disability-quick-quote/mutual-of-omaha/

1

1

0

https://cnbc.com/select/best-disability-insurance/

75

37

0

https://investopedia.com/the-best-disability-insurance-11755340

25

15

0

https://forbes.com/advisor/health-insurance/best-disability-insurance-companies/

30

9

0

https://guardianlife.com/disability-insurance

15

8

0

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 are mostly third-party comparison and editorial sites, with the company's own domain appearing only marginally. Those third-party pages are where prospective buyers are most likely to encounter Breeze in an AI answer, which makes them worth reviewing even though no conflicting claims are linked to them.

A citation does not establish that a source influenced an answer, and a page linked to a claim is not necessarily its cause. Proposed work is a source review that checks current contents against approved facts, followed by evidence-backed requests to publishers where a genuine gap exists. Publisher control and publisher error are not assumed.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Breeze website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 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.

No results are available for this part of the analysis, and the company's own pages were not cited in the captured answers. That means there is no measured basis for claiming that specific Breeze pages are underperforming or that particular content is missing.

Proposed work is therefore preparatory. Page briefs would be built from approved company facts and the audience questions observed in the research, applied to the actual supplied page list once it is confirmed. Each brief would state what the page should answer and which facts are cleared for use, so any later edit rests on verified material rather than inference.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Breeze?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What's the best short-term disability insurance?

5

4

4

Who has the best short-term disability insurance?

6

4

3

Who offers the best income protection insurance?

4

4

3

What insurance is best for disability?

6

5

2

Who has the best disability insurance?

6

3

2

disability insurance carriers

2

2

2

What company has the best short-term disability insurance?

4

4

1

Who has the cheapest disability insurance?

5

4

1

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

The recorded questions cluster around short-term disability cover, income protection and cheapest-option comparisons. Breeze is mentioned and recommended in several of these, which suggests the company is already part of the answer set for buyer questions that matter in this category.

These are answer observations, not search volume or proof of missing content. Proposed work is to check existing coverage first, then write briefs for the questions where Breeze is mentioned but not recommended, or recommended but not placed. Each brief would answer the buyer's actual question in plain terms and cite only approved facts.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Breeze 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: a scorecard covering mentions, recommendations and placement, a scoped fact-review register, and a shortlist of pages and sources. Each record gets an owner, an evidence requirement and a review status, so nothing advances on assumption.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported separately from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

  • How are Breeze 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 228 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 4983 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

Jul 2026

314

6

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

Aug 2026

252

6

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

Sep 2026

222

6

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

Oct 2026

265

6

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

Nov 2026

228

6

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

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

The report covers a single month, and the exact dates when the original answers were collected have not been verified. A company counts as recommended only when an answer endorses it with positive wording; top-three and first-place results sit inside those recommendations rather than adding to them.

Answers can mention several companies, so company counts cannot be summed into a count of distinct answers. Monthly samples differ, and comparisons show how recorded results changed, not why. Cited pages and any disputed claims still need independent verification.

Our first three priorities

The first priority is the visibility comparison. Setting Breeze against the leading carriers on mentions, recommendations and placement together will show whether the main gap is recognition or position, and that distinction should shape everything that follows.

The second is source review. The third-party comparison pages are where buyers most often meet Breeze in an answer, so checking their current contents against approved facts is more useful now than rewriting company pages that were not cited.

The third is buyer-question content. Briefs for the short-term disability and income protection questions, written only after existing coverage is checked, would give the client material aimed at the questions where Breeze already appears but is not yet the preferred answer.

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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.

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