Breeze AI Visibility Market Strategy Report - Disability Insurance

Answer Capsule

Breeze holds 14.0% valid recommendation coverage in the October 2026 LLM Authority Index Disability Insurance benchmark, ranking ninth of ten tracked carriers. The brand is visible but under-recommended: it appears in 15.8% of qualified observations yet converts only a fraction of that presence into shortlist placement, with a top-three rate of 4.2% and a rank-one rate of 0.4%. Breeze's clearest win is its framing quality, where a 0.93 net sentiment score reflects almost no negative or cautionary mentions. Its clearest gap is recommendation conversion at the decision moment, where Guardian and MassMutual together absorb the majority of top-three placements.

Who This Report Is For

This report is written for Breeze's marketing, brand, and growth leadership, and for category analysts tracking how disability insurance carriers are surfaced and recommended across AI-generated answers.

Report Card

Executive Summary

Breeze is present in the disability insurance recommendation layer but is not yet converting that presence into shortlist placement. Across 265 qualified observations in October 2026, Breeze recorded 42 mentions, a raw mention presence rate of 15.8%, and 37 valid recommendations, a valid recommendation coverage rate of 14.0%. That places Breeze ninth of ten tracked carriers, ahead of only Aflac at 9.1%.

The gap between presence and recommendation is the defining signal. Breeze appears in roughly one in six qualified observations, but its top-three rate is 4.2% and its rank-one rate is 0.4%. In practical terms, AI systems are willing to name Breeze, but they rarely place it at the front of a recommendation list.

Framing quality is Breeze's strongest asset. The brand recorded 39 positive mentions, 3 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.93. That is among the highest framing scores in the tracked set and indicates that when Breeze does appear, AI systems describe it favorably rather than as a cautionary or comparison-only reference.

The strongest platform signal for Breeze is Perplexity, where the brand holds a 33.3% valid recommendation coverage rate and a 19.0% top-three rate, both well above its category-wide averages. Google AI Overviews is the second-strongest surface at 20.0% coverage. ChatGPT returned no Breeze mentions at all in the October 2026 qualified set, which is the clearest single-platform absence in the brand's profile.

The weakest cluster signal is structural rather than brand-specific. All 265 qualified observations in the October 2026 benchmark fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters registered zero qualified observations, so the benchmark cannot yet show how Breeze performs when buyers introduce cost sensitivity or ask for direct head-to-head comparisons.

The clearest opportunity is to convert Breeze's favorable framing into top-three placement. The brand already earns positive language from AI systems; the missing layer is the citation and comparison evidence that moves a favorably described brand into the first three names a buyer sees.

What Breeze Is Winning

Questions This Section Answers

• How strong is Breeze's framing quality compared to other disability insurance carriers in the October 2026 benchmark?
• Which AI platforms are already converting Breeze mentions into shortlist placement?

Breeze's clearest win is framing quality. With 39 positive mentions, 3 neutral mentions, and zero negative mentions across 265 qualified observations, Breeze posted a net sentiment score of 0.93. Only Assurity, at 0.98, recorded a higher framing score in the October 2026 benchmark. This means AI systems are not describing Breeze as a fallback, a cautionary example, or a comparison anchor. They are describing it favorably.

Breeze also holds a genuine platform pocket on Perplexity. The brand recorded a 33.3% valid recommendation coverage rate on Perplexity, more than double its category-wide coverage of 14.0%, and a 19.0% top-three rate on that surface. Perplexity is a smaller platform by observation volume, but it is the one surface where Breeze behaves like a shortlist brand rather than a mention.

Google AI Overviews is Breeze's second-strongest surface, with a 20.0% valid recommendation coverage rate and a 16.5% top-ten rate. Together, Perplexity and AI Overviews account for the majority of Breeze's recommendation credit.

These are real wins, but they are narrow. Breeze does not lead any cluster, does not lead any platform outright, and holds a rank-one rate of 0.4%, meaning it was the first recommendation in a single qualified observation. The brand has a favorable reputation in the AI answer layer without yet having a recommendation position to match it.

Where Breeze Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Breeze rarely landing in the top three disability insurance recommendations despite appearing in roughly one in six qualified observations?
• How large is the recommendation conversion gap between Breeze and Guardian or MassMutual?
• Which AI platform absence most limits Breeze's ability to be recommended?

Breeze's central gap is recommendation conversion. The brand appears in 15.8% of qualified observations but receives a valid recommendation in only 14.0%, and lands in the top three in just 4.2%. That is a narrow funnel: presence is not translating into shortlist placement at anything close to the rate the category leaders achieve.

The comparison to Guardian and MassMutual makes the gap concrete. Guardian holds a 54.7% top-three rate and a 24.5% rank-one rate. MassMutual holds a 52.1% top-three rate and a 21.9% rank-one rate. Breeze's 4.2% top-three rate is roughly one-thirteenth of Guardian's. In the observations where a buyer asks an AI system which disability insurance carrier to choose, Breeze is usually named somewhere in the answer but rarely named among the first three.

The ChatGPT absence is the sharpest single-platform gap. Breeze recorded zero mentions on ChatGPT across the October 2026 qualified set, while competitors including Guardian, MassMutual, Ameritas, Principal, and The Standard all registered ChatGPT presence. A platform with no Breeze presence is a platform where Breeze cannot be recommended at all.

Breeze also sits below the mid-tier cluster on presence. Mutual of Omaha holds a 49.8% presence rate, Northwestern Mutual 44.1%, and Principal 41.1%. Breeze's 15.8% presence rate places it in the bottom tier alongside Aflac and Assurity. The brand is not being displaced from the top of lists so much as it is being left out of the consideration set entirely in most qualified observations.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for turning Breeze's favorable framing into top-three recommendation placement?
• Which platforms should Breeze prioritize to extend its recommendation footprint beyond Perplexity and AI Overviews?

Breeze's biggest opportunity is to convert its favorable framing into top-three placement in the Brand Recommendation cluster. The brand already earns positive language from AI systems at a rate comparable to the category leaders. What it lacks is the citation and comparison evidence that moves a favorably described brand into the first three names a buyer sees.

The specific path runs through the surfaces where Breeze already has a foothold. Perplexity and Google AI Overviews are the two platforms where Breeze converts presence into recommendation at above-average rates. Those surfaces show that the brand's public evidence layer is sufficient to support a recommendation when the retrieval context is favorable. Extending that evidence pattern to ChatGPT, where Breeze currently has no presence, and to Copilot, where Breeze holds an 8.3% coverage rate, is the clearest route from reference to recommendation.

The supporting signal is that Breeze's rank-one rate is 0.4% while its top-three rate is 4.2%. The brand is closer to the shortlist than the raw coverage number suggests. A modest improvement in top-three placement would move Breeze past Ameritas and Assurity in the coverage table without requiring a category-wide presence expansion.

Competitive Landscape

Questions This Section Answers

• Where does Breeze rank among the ten tracked disability insurance carriers on top-three and rank-one recommendation rate?
• How does Breeze's sentiment compare with competitors even though its recommendation coverage is in the bottom tier?

Guardian and MassMutual hold recommendation-stage strength in the disability insurance category, with Guardian at 68.3% valid recommendation coverage and MassMutual at 67.2%. Breeze sits ninth of ten tracked carriers at 14.0% coverage, with a top-three rate of 4.2% and a rank-one rate of 0.4%.

Average recommended rank covers rank-eligible recommendations only.

Breeze's 4.15% top-three rate places it in a tight bottom-tier cluster with Assurity and Ameritas, all three within roughly half a percentage point of each other. Breeze's 0.38% rank-one rate is the lowest tier in the table, shared with Assurity and The Standard. Its average recommended rank of 4.06 is mid-pack among the bottom tier, ahead of Assurity and Ameritas but well behind the leaders. The sentiment column is where Breeze stands out: at 0.9286, it trails only Assurity and The Standard, and sits well above Aflac's 0.4262.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "best long term disability insurance" Result: Breeze received a valid recommendation and appeared in the top three, consistent with its 33.3% coverage rate on Perplexity.

ChatGPT / Brand Recommendation Prompt: "disability insurance companies" Result: Breeze received no mention, consistent with its zero ChatGPT presence in the October 2026 qualified set.

Google AI Overviews / Brand Recommendation Prompt: "best insurance companies for life insurance" Result: Breeze appeared with positive framing but did not reach the top three, reflecting the brand's pattern of favorable mention without shortlist placement.

Google AI Mode / Brand Recommendation Prompt: "supplemental insurance" Result: Breeze was mentioned with positive sentiment but placed outside the top three, consistent with its 0.0% top-three rate on AI Mode.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every qualified observation where Breeze is mentioned but not recommended, and identify which competitors take the top-three slot in those same answers.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation cluster and the Perplexity and AI Overviews surfaces where Breeze already converts, then extend the same evidence pattern to ChatGPT and Copilot.

Phase 3: Owned Answer Layer Buildout Strengthen Breeze's owned pages around the specific disability insurance questions where the brand is mentioned but not shortlisted, so AI systems have a clear, retrievable reason to place Breeze in the top three.

Phase 4: Citation and Authority Layer Development Build the third-party comparison, review, and editorial citations that AI systems draw on when forming recommendation lists, targeting the source types that appear most often in the category's citation layer.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Breeze's top-three rate, rank-one rate, and per-platform coverage month over month to confirm whether framing quality is converting into shortlist placement.

Why This Matters

AI presence alone is not enough. Breeze already appears in roughly one in six qualified disability insurance observations and is described favorably in nearly all of them. That is a real asset, but it is not the same as being recommended. Buyers who ask an AI system which carrier to choose are shown a short list, and Breeze is usually not on it.

The next move is targeted correction of the prompt, page, and citation layers. Breeze does not need to rebuild its reputation in the AI answer layer; it needs to convert that reputation into placement. That means identifying the specific prompts where Breeze is mentioned but not shortlisted, strengthening the owned and third-party evidence those prompts retrieve, and tracking whether the top-three rate moves as a result.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does raw mention count understate Breeze's position in the AI answer layer?
• What does Breeze's 0.93 net sentiment score indicate about how AI systems frame the brand?

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

For Breeze in October 2026: (39 × 1 + 3 × 0 + 0 × -1) / 42 = 0.9286.

This matters because unclassified mention counts are misleading. A brand that appears 42 times as a cautionary example and a brand that appears 42 times as a favorable recommendation are not in the same position, even though a raw mention count would treat them identically. Breeze's 0.93 score indicates that nearly every mention of the brand in the October 2026 qualified set carried positive framing, with only three neutral references and no negative ones.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal in the buyer's decision process. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates the brand that is being recommended from the brand that is merely being named.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Breeze's position in the October 2026 LLM Authority Index Disability Insurance benchmark. It is not a client implementation result.
2. The reporting window is October 2026, with baseline comparisons drawn from July 2026 and monthly comparisons drawn from September 2026.
3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six were active in every month of the series.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 265 qualified observations after qualification. Brand-level percentages use the qualified observations as the public denominator.
5. Ten disability insurance carriers were tracked: Aflac, Ameritas, Assurity, Breeze, Guardian, MassMutual, Mutual of Omaha, Northwestern Mutual, Principal, and The Standard.
6. Three public high-intent clusters were defined: Brand Recommendation, Pricing and Value, and Multi-Brand Comparison. In October 2026, all 265 qualified observations fell into the Brand Recommendation cluster. The other two clusters registered zero qualified observations.
7. The benchmark uses a stage 0 extraction layer that records the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when a tracked brand appears anywhere in a qualified AI response, regardless of placement or framing.
9. A valid recommendation is counted when the dataset explicitly marks the brand as recommended, with rank credit applied to positive valid recommendations in positions one through ten.
10. Average recommended rank covers rank-eligible recommendations only. Breeze's average recommended rank of 4.06 reflects the observations where it received rank credit.
11. The qualified denominator of 265 observations is smaller than the raw collection of 800 prompts. All brand-level percentages are calculated within the qualified set.
12. Movement between periods is directional analysis designed to identify changes worth investigating. It does not by itself establish the cause of those changes. Source presence in AI answers is evidence about the information environment and is not automatically proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Breeze stands in the category. A company-level AI visibility audit shows why. It maps the specific prompts where Breeze is mentioned but not shortlisted, the competitors that take the top-three slot in those same answers, and the citation and evidence patterns that shape how AI systems form disability insurance recommendation lists.