Assurity AI Visibility Market Strategy Report - Disability Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Assurity is visible in disability insurance answers, but it rarely reaches top-three placement and is named first only once.
  • The brand’s strongest signal is sentiment: nearly every mention is positive, giving it the highest net sentiment score in the category.
  • Perplexity and AI Overviews are the main opportunities, since they already convert some Assurity mentions into recommendations.
  • Gemini is the clearest gap, with one mention and no valid recommendations, while coverage also fell month over month in October 2026.

Answer Capsule

Assurity holds 17.0% valid recommendation coverage in the October 2026 Disability Insurance benchmark, ranking eighth of ten tracked carriers. The brand is visible but under-recommended: it appears in 17.7% of qualified observations yet converts only a fraction of that presence into top-three placements, with a 4.5% top-three rate and a 0.4% rank-one rate. Assurity's clearest win is its 0.98 net sentiment score, the highest in the category, and its strongest platform signal comes from Perplexity, where it reaches 47.6% valid recommendation coverage. Its clearest gap is recommendation placement: the brand is frequently referenced but rarely named first, and its coverage fell 8.2 points from September 2026 to October 2026.

Who This Report Is For

This report is for Assurity's marketing, brand, and growth leadership, and for category analysts tracking how disability insurance carriers are recommended across AI search surfaces.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Assurity

Category / market studied

Disability Insurance

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

3

AI observations analyzed

265 qualified observations

Competitors tracked

9

Executive Summary

Assurity is visible but under-recommended in the October 2026 Disability Insurance benchmark. The brand holds 17.0% valid recommendation coverage across 265 qualified observations, ranking eighth of ten tracked carriers, while its raw mention presence rate sits at 17.7%. That narrow gap between presence and recommendation coverage means Assurity is not being excluded from AI answers, but it is also not being converted into shortlist placements at the rate its presence would suggest.

The recommendation placement picture is the sharper issue. Assurity's top-three rate is 4.5%, and its rank-one rate is 0.4%, meaning the brand appears in a top-three position in roughly one in twenty-two qualified observations and is named first in roughly one in two hundred sixty-five. Its average recommended rank of 4.36 places it in the lower half of the tracked set. The brand is present in AI answers, but it is rarely the answer.

Sentiment is Assurity's strongest signal. The brand posted a net sentiment score of 0.98, the highest in the category, with 46 positive mentions, 1 neutral mention, and zero negative mentions. That framing quality is a genuine asset: when AI systems do mention Assurity, they frame it positively. The gap is not reputation, it is placement.

Platform behavior is uneven. Perplexity is Assurity's strongest surface by recommendation behavior, where it reaches 47.6% valid recommendation coverage and a 19.1% top-three rate. AI Overviews is its second-strongest surface at 24.7% coverage. Gemini is effectively absent: Assurity recorded one mention and zero valid recommendations on that platform, and its AI Visibility Authority Value there rounds to zero.

The clearest gap is recommendation conversion at the top of the list. Principal, the category's largest cumulative riser, holds 32.5% coverage and an 18.9% top-three rate, nearly four times Assurity's top-three rate, despite a similar presence profile. The difference is not whether AI systems know the brand, it is whether they name it when a buyer asks which carrier to choose.

What Assurity Is Winning

Questions This Section Answers

  • Where does Assurity outperform the rest of the disability insurance category?
  • Which AI platform currently converts Assurity's presence into recommendation placement most effectively?

Assurity's strongest evidence-backed win is framing quality. Its net sentiment score of 0.98 is the highest among the ten tracked carriers, ahead of Breeze at 0.93 and The Standard at 0.91. Across 47 mentions, 46 were classified positive and one neutral, with no negative framing recorded in the October 2026 qualified set.

The brand's second win is platform-specific. On Perplexity, Assurity reaches 47.6% valid recommendation coverage and a 19.1% top-three rate, both well above its category-wide averages. Perplexity is a smaller surface in this benchmark, but it is the one place where Assurity converts presence into recommendation placement at a competitive rate.

Assurity also holds a meaningful position on AI Overviews, where it reaches 24.7% valid recommendation coverage and 21 valid recommendations, its largest single-platform recommendation count. These are narrow but real pockets of recommendation strength.

The wins are limited. Assurity does not lead any cluster, does not lead any platform outright, and holds no rank-one concentration. The brand's position is best described as positively framed and occasionally recommended, not as a category contender.

Where Assurity Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Assurity convert so few of its mentions into top-three shortlist placements?
  • Which AI platform represents Assurity's most complete absence in disability insurance recommendations?
  • What does Assurity's September-to-October coverage decline indicate about its current trajectory?

Assurity's clearest gap is recommendation conversion at the top of the list. The brand holds 45 valid recommendations across 265 qualified observations, but only 12 of those land in a top-three position and only one places first. Its 4.5% top-three rate and 0.4% rank-one rate sit near the bottom of the tracked set, ahead of only Ameritas and Breeze on top-three rate and tied with Breeze and The Standard on rank-one rate.

The displacement pattern is visible against Principal. Principal holds 32.5% valid recommendation coverage and an 18.9% top-three rate, with 86 valid recommendations and 50 top-three placements. Assurity holds 17.0% coverage and a 4.5% top-three rate, with 45 valid recommendations and 12 top-three placements. The two brands have comparable recommendation counts, but Principal converts nearly four times as many into top-three placements. Principal's rank-one rate is also low at 0.8%, so the gap is not about winning first place, it is about being named in the shortlist at all.

Gemini is a second clear gap. Assurity recorded one mention and zero valid recommendations on Gemini across 30 platform observations, with a 3.3% raw mention presence rate. Its AI Visibility Authority Value on that platform rounds to zero. By contrast, Guardian reaches 66.7% valid recommendation coverage on Gemini and MassMutual reaches 66.7%. Assurity is effectively absent from that surface.

The brand's single-month movement also warrants attention. Assurity fell 8.2 points from September 2026 to October 2026, reaching 17.0%. The benchmark classifies the brand as stable on the baseline-to-current measure, up 3.9 points since July 2026, but the September-to-October decline was sharp enough to be flagged as a move beyond normal variation within the month.

Biggest Opportunity

Questions This Section Answers

  • Where is the largest recoverable recommendation gap for Assurity in disability insurance?
  • Which surfaces offer the most direct path from brand reference to shortlist placement?

Assurity's biggest opportunity is converting its positive framing into top-three placement on the surfaces where it already appears. The brand is mentioned in 17.7% of qualified observations and framed positively in nearly all of them, but it converts only 4.5% of observations into a top-three recommendation. The gap between presence and placement is the single largest recoverable signal in the data.

The path runs through the surfaces where Assurity already has a foothold. Perplexity and AI Overviews are the two platforms where the brand reaches double-digit recommendation coverage, and both are surfaces where comparison and evaluation prompts are common. Building the owned answer layer and citation footprint around those surfaces, particularly for prompts that ask which carrier to choose or which is best for a specific need, is the most direct route from reference to recommendation.

The category context supports this. All 265 qualified observations in October 2026 fell into the Brand Recommendation cluster, meaning every prompt in the benchmark is a version of the question of which carrier an AI system names. Assurity is already in the answer set. The opportunity is to move from mentioned to named.

Competitive Landscape

Questions This Section Answers

  • How does Assurity's recommendation placement compare to Guardian, MassMutual, and Principal?
  • Why does Assurity rank so low on top-three rate despite holding the category's highest sentiment score?

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%. Assurity sits in the lower tier at 17.0%, eighth of ten tracked carriers, with a top-three rate of 4.5% and a rank-one rate of 0.4%.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Guardian

54.72%

24.53%

2.12

0.8051

MassMutual

52.08%

21.89%

2.31

0.8657

Northwestern Mutual

21.51%

7.17%

2.83

0.7778

Mutual of Omaha

21.13%

6.42%

3.53

0.8636

Principal

18.87%

0.75%

3.34

0.8349

The Standard

9.06%

0.38%

3.78

0.9062

Aflac

5.66%

2.64%

2.91

0.4262

Assurity

4.53%

0.38%

4.36

0.9787

Ameritas

4.15%

0.75%

4.26

0.8088

Breeze

4.15%

0.38%

4.06

0.9286

Average recommended rank covers rank-eligible recommendations only.

Assurity's row shows the pattern clearly: the highest sentiment score in the category alongside the second-lowest top-three rate and a rank-one rate tied for lowest. The brand is framed better than any competitor and placed worse than almost all of them.

Prompt Evidence

Questions This Section Answers

  • Which prompts and platforms produced Assurity's strongest and weakest disability insurance recommendation signals?

Perplexity / Brand Recommendation Prompt: "best disability insurance" Result: Assurity reached 47.6% valid recommendation coverage on Perplexity, its strongest platform signal, with a 19.1% top-three rate.

Gemini / Brand Recommendation Prompt: "disability insurance companies" Result: Assurity recorded one mention and zero valid recommendations on Gemini, an effective absence on that surface.

AI Overviews / Brand Recommendation Prompt: "best insurance companies for life insurance" Result: Assurity reached 24.7% valid recommendation coverage on AI Overviews with 21 valid recommendations, its largest single-platform recommendation count.

Category-wide / Brand Recommendation Prompt: "What insurance is considered the best?" Result: Assurity holds 17.0% valid recommendation coverage across the qualified set, with 45 valid recommendations and 12 top-three placements.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What actions should Assurity prioritize to improve its top-three recommendation rate?
  • Why does the next phase focus on citation and authority layers rather than owned pages alone?

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts produce Assurity's 45 valid recommendations and which produce its 12 top-three placements, then identify the prompts where the brand is mentioned but not placed.

Phase 2: Recommendation Readiness Plan Prioritize the Perplexity and AI Overviews surfaces where Assurity already converts, and build a placement plan for the Gemini surface where it is effectively absent.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages that answer the specific carrier-selection questions in the Brand Recommendation cluster, so AI systems have a clear, retrievable reason to name Assurity in the shortlist.

Phase 4: Citation / Authority Layer Development Develop the third-party review, comparison, and news source footprint that AI systems retrieve from, since the benchmark's top cited domains are consumer finance and review sources rather than carrier-owned pages alone.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Assurity's top-three rate and rank-one rate month over month, since the brand's presence is stable but its placement is the metric that moves.

Why This Matters

AI presence alone is not enough. Assurity is mentioned in 17.7% of qualified observations and framed positively in nearly all of them, yet it converts only 4.5% of observations into a top-three recommendation. A buyer asking an AI system which disability insurance carrier to choose is not shown a list of every brand mentioned. They are shown a shortlist, and Assurity is rarely on it.

The next move is targeted correction of the prompt, page, and citation layers. The brand's framing is already an asset. The work is to make that framing convert into placement, on the surfaces where Assurity already appears and on the surfaces where it currently does not.

Core Metrics

Metric

Value

Mentions

47

Valid recommendations

45

Top 3 recommendation count

12

Rank #1 recommendation count

1

Average recommended rank

4.36

Positive mentions

46

Neutral mentions

1

Negative mentions

0

Raw mention presence rate

17.74%

Valid recommendation coverage

16.98%

Top 3 recommendation rate

4.53%

Rank #1 recommendation rate

0.38%

Net sentiment score

0.9787

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

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

For Assurity in October 2026: (46 × 1 + 1 × 0 + 0 × -1) / 47 = 0.9787.

This matters because unclassified mention counts are misleading. A brand with 47 mentions and no sentiment classification looks identical whether those mentions are enthusiastic recommendations, neutral references, or cautionary notes. Assurity's 0.98 score tells a specific story: when AI systems mention the brand, they frame it positively, and there is no negative framing in the qualified set.

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. Counting all mentions as wins is bad measurement. Assurity's high sentiment score is a real asset, but it does not compensate for a 4.5% top-three rate. Classified sentiment is required before interpreting AI visibility, and it is the first step, not the last.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Perplexity

10

10

0

0

1.0000

Strongest public recommendation signal

AI Overviews

21

21

0

0

1.0000

Positive, largest recommendation count

ChatGPT

1

1

0

0

1.0000

Positive, but sample too small

Copilot

4

4

0

0

1.0000

Positive, but sample too small

AI Mode

10

9

1

0

0.9000

Present, but not recommendation-led

Gemini

1

1

0

0

1.0000

No meaningful public presence

Methodology

  1. This report is a benchmark-based analysis of Assurity's AI recommendation visibility in the Disability Insurance category, produced from the LLM Authority Index October 2026 benchmark and supporting metrics aggregation.
  2. The reporting window is October 2026, with baseline comparison to July 2026 and month-over-month comparison to 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 produced 265 qualified observations from 800 source prompt-surface observations, covering 519 unique questions.
  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. In October 2026, all 265 qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters registered zero qualified observations.
  7. Stage 0 extraction retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each observation.
  8. A mention is counted when a tracked brand appears 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, separate from a neutral reference, comparison anchor, or listed-only mention.
  10. Brand-level percentages use the qualified observation count of 265 as the public denominator, not the raw collection of 800 prompt-surface observations.
  11. Average recommended rank covers rank-eligible recommendations only. Assurity's average recommended rank of 4.36 is calculated across its rank-eligible placements.
  12. Source presence in AI answers is evidence about the information environment. It is not automatically proof that a source caused a recommendation. Movement in a metric alone does not establish its cause.

See How AI Is Recommending Your Brand

The public benchmark shows where Assurity stands in the category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those numbers, and turns the question of why coverage moved into a prioritized set of actions grounded in the actual AI answer ecosystem.

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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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