New York Life AI Visibility Market Strategy Report - Long-Term Care Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • New York Life has the highest valid recommendation coverage in long-term care insurance, but Mutual of Omaha leads on first-choice placement.
  • The biggest gap is rank-one frequency: New York Life is often shortlisted, yet Mutual of Omaha is more likely to be named first.
  • Perplexity is New York Life’s strongest platform for coverage, while Gemini and AI Overviews show the widest first-choice gap.
  • The category’s citation layer is external, with no tracked brand domain in the top cited sources.

Answer Capsule

New York Life leads the Long-Term Care Insurance category in AI recommendation coverage for October 2026, holding 67.7% valid recommendation coverage across 260 qualified benchmark observations. The brand is mentioned in 80.4% of qualified observations and recommended in most of them, but its coverage declined 5.8 points from the August 2026 baseline, a movement the benchmark classifies as within normal month-to-month variation. The clearest win is top-three placement, which rose to 51.9% from 46.9% at baseline. The clearest weakness is first-choice frequency: New York Life holds a 6.9% rank-one rate while Mutual of Omaha holds 29.6%, a 22.7 point first-choice gap. The clearest opportunity is converting its broad presence into more rank-one recommendations in the Brand Recommendation cluster where all qualified observations sit.

Who This Report Is For

This report is written for New York Life marketing, brand strategy, and digital leadership teams, and for category analysts tracking how AI search and chat surfaces recommend long-term care insurance carriers at the discovery and consideration stage.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

New York Life

Category / market studied

Long-Term Care Insurance

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 with qualified data (Brand Recommendation)

AI observations analyzed

260 qualified observations from 800 collected

Competitors tracked

9

Executive Summary

New York Life holds the strongest recommendation position in the Long-Term Care Insurance benchmark for October 2026, with 67.7% valid recommendation coverage across 260 qualified observations. The brand was mentioned in 80.4% of qualified observations and received 176 valid recommendations, the highest absolute count in the tracked set. Its net sentiment score of 0.89 reflects 186 positive mentions, 23 neutral mentions, and zero negative mentions.

The lead is real but narrow. Mutual of Omaha sits 1.2 percentage points behind at 66.5% coverage, and the two brands are separated by a much wider margin on first-choice placement. Mutual of Omaha holds a 29.6% rank-one rate, while New York Life holds 6.9%. That 22.7 point gap is the single most important structural difference between the two leaders.

New York Life's coverage declined 5.8 points from its 73.5% August 2026 baseline, a movement the benchmark classifies as within normal month-to-month variation. The decline is not the headline. The headline is that New York Life holds the category lead because its declines were smaller than those of the brands around it, not because it gained ground. Nationwide fell 22.4 points, National Guardian Life fell 20.1 points, and Mutual of Omaha fell 13.1 points over the same arc.

Placement tells a more constructive story than coverage alone. New York Life's top-three rate rose 5.0 points from 46.9% at baseline to 51.9% in October 2026, and its rank-one rate rose 2.8 points from 4.1% to 6.9%, representing 18 rank-one placements. Raw mention presence declined 8.4 points from 88.8% to 80.4%, which crosses the significance threshold even though coverage did not. The brand is being mentioned less often but placed higher when it appears.

The strongest platform signal for New York Life is Perplexity, where the brand holds 88.0% valid recommendation coverage and a 92.0% raw mention presence rate. The strongest platform by absolute recommendation volume is AI Overviews, where New York Life earned 53 valid recommendations. The clearest platform gap is Gemini, where the brand holds 79.4% coverage but only a 17.7% rank-one rate, suggesting it is frequently shortlisted but rarely placed first.

All 260 qualified observations in October 2026 fell into the Brand Recommendation cluster. The benchmark contains no qualified observations for Pricing & Value or Multi-Brand Comparison, so the public data cannot show how AI systems weigh cost signals or position carriers in head-to-head comparisons. The category-level citation layer is broadly distributed across 849 unique domains, with no tracked brand's own domain appearing in the top 10 cited sources.

What New York Life Is Winning

Questions This Section Answers

  • Where does New York Life lead the long-term care insurance category in AI recommendations?
  • Which platforms do New York Life's strongest recommendation coverage and mention presence appear on?

New York Life holds the category lead in valid recommendation coverage at 67.7%, the highest of the 10 tracked brands. The brand earned 176 valid recommendations out of 260 qualified observations, the largest absolute count in the set.

Top-three placement improved across the series. New York Life's top-three rate rose from 46.9% in August 2026 to 51.9% in October 2026, a 5.0 point gain. Rank-one placement also rose, from 4.1% to 6.9%, representing 18 first-position recommendations.

The brand carries no negative framing. New York Life recorded 186 positive mentions, 23 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.89. That is the second-highest sentiment score among the top four brands by coverage.

Perplexity is the strongest platform signal. New York Life holds 88.0% valid recommendation coverage and a 92.0% raw mention presence rate on Perplexity, with 22 valid recommendations out of 25 observations. The brand also holds 85.2% coverage on Copilot and 82.6% coverage on ChatGPT, indicating broad platform strength rather than concentration on a single surface.

Where New York Life Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is New York Life's first-choice gap versus Mutual of Omaha?
  • On which platforms is New York Life most often shortlisted but not named first?
  • Why is New York Life's category citation layer considered external?

The clearest gap is first-choice frequency. New York Life and Mutual of Omaha were within 1.2 percentage points on coverage in October 2026, yet Mutual of Omaha held a 29.6% rank-one rate versus 6.9% for New York Life. That 22.7 point first-choice gap means New York Life is frequently shortlisted but less frequently named first when AI systems produce a primary recommendation.

The gap is platform-specific. On Gemini, New York Life holds 79.4% coverage but only a 17.7% rank-one rate, while Mutual of Omaha holds 70.6% coverage and a 38.2% rank-one rate on the same platform. On AI Overviews, New York Life holds 70.7% coverage and an 8.0% rank-one rate, while Mutual of Omaha holds 81.3% coverage and a 34.7% rank-one rate. The pattern suggests that when AI systems produce a single primary recommendation, Mutual of Omaha is more likely to occupy that position even where New York Life is more broadly present.

Raw mention presence declined 8.4 points from 88.8% at baseline to 80.4% in October 2026, a movement that crosses the significance threshold. Coverage held closer to the presence trend than to the placement trend, meaning the brand's recommendation rate is tracking its mention rate more closely than its improved top-three positioning.

The category citation layer is external. No tracked brand's own domain appears in the top 10 cited domains. Financial comparison and review sites including nerdwallet.com, policygenius.com, ethos.com, and moneygeek.com sit alongside general news and business outlets such as cnbc.com, forbes.com, and wsj.com. New York Life's owned content is not visibly shaping the source layer that AI systems draw from in this category.

Biggest Opportunity

Questions This Section Answers

  • How many rank-one placements does New York Life hold compared with Mutual of Omaha?
  • What signals would need to strengthen to convert New York Life's coverage into more first-choice recommendations?

The clearest opportunity is converting New York Life's broad recommendation coverage into more rank-one placements within the Brand Recommendation cluster. The brand is already the most frequently recommended carrier in absolute terms, with 176 valid recommendations, but it holds first position in only 18 of 260 qualified observations. Mutual of Omaha holds first position in 77.

The gap is not a presence problem. New York Life is mentioned in 80.4% of qualified observations, higher than any other brand. The gap is a framing and selection problem: when AI systems produce a primary recommendation, they are more likely to name Mutual of Omaha first. Closing that gap means strengthening the specific prompt, page, and citation signals that AI systems associate with first-choice selection, particularly on Gemini and AI Overviews where the rank-one gap is widest.

Competitive Landscape

Questions This Section Answers

  • Where does New York Life lead the tracked brands, and where does Mutual of Omaha lead?
  • How do the second-tier brands like Nationwide and Northwestern Mutual compare?

New York Life and Mutual of Omaha hold the strongest recommendation-stage positions in the Long-Term Care Insurance category, with Nationwide and Northwestern Mutual forming a second tier. New York Life leads on coverage and top-three rate, while Mutual of Omaha leads on first-choice frequency and average recommended rank.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

New York Life

51.92%

6.92%

2.71

0.89

Mutual of Omaha

49.62%

29.62%

2.32

0.93

Nationwide

35.00%

7.31%

3.05

0.91

Northwestern Mutual

30.77%

16.15%

2.73

0.91

Transamerica

13.46%

1.15%

3.18

0.82

Lincoln Financial

4.62%

0.00%

4.28

0.88

National Guardian Life

3.46%

0.77%

4.10

1.00

Thrivent

1.15%

0.00%

4.78

0.86

Genworth

0.38%

0.00%

4.50

0.17

Knights of Columbus

0.00%

0.00%

N/A

0.00

Average recommended rank covers rank-eligible recommendations only.

New York Life holds the highest top-three rate in the category at 51.92%, narrowly ahead of Mutual of Omaha at 49.62%. The two brands are separated by a much wider margin on rank-one rate, where Mutual of Omaha holds 29.62% against New York Life's 6.92%. Mutual of Omaha also holds the strongest average recommended rank in the set at 2.32, compared with 2.71 for New York Life.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "Who is the best life insurance to go with?" Result: New York Life was recommended with 88.0% coverage on Perplexity, the brand's strongest platform signal, though Mutual of Omaha held a higher rank-one rate on the same surface.

Gemini / Brand Recommendation Prompt: "best long term care insurance" Result: New York Life appeared in 79.4% of Gemini observations but held only a 17.7% rank-one rate, while Mutual of Omaha held a 38.2% rank-one rate on the same platform.

AI Overviews / Brand Recommendation Prompt: "long term care insurance companies" Result: New York Life earned 53 valid recommendations on AI Overviews, the highest absolute count of any platform, but held an 8.0% rank-one rate against Mutual of Omaha's 34.7%.

ChatGPT / Brand Recommendation Prompt: "Who offers the best insurance?" Result: New York Life held 82.6% coverage and a 91.3% mention presence rate on ChatGPT, with 19 valid recommendations out of 23 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts, platforms, and competitor displacement patterns behind New York Life's 6.9% rank-one rate, with particular focus on Gemini and AI Overviews where the first-choice gap is widest.

Phase 2: Recommendation Readiness Plan Identify which owned pages, comparison assets, and third-party sources are most likely to influence first-position selection, and prioritize the gaps between New York Life's broad coverage and Mutual of Omaha's first-choice strength.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that AI systems retrieve when forming a primary recommendation, with emphasis on the Brand Recommendation cluster where all qualified observations sit.

Phase 4: Citation / Authority Layer Development Build presence in the external source layer that AI systems cite, including the financial comparison and review sites that dominate the category's top cited domains, since no tracked brand's own domain appears in the top 10.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track rank-one rate, top-three rate, and coverage by platform month over month to measure whether first-choice frequency improves relative to Mutual of Omaha and the wider tracked set.

Why This Matters

AI presence alone is not enough. New York Life is the most frequently mentioned and most frequently recommended brand in the Long-Term Care Insurance category, yet it holds first position in only 18 of 260 qualified observations. Mutual of Omaha holds first position in 77. When a buyer asks an AI system for a primary recommendation, the answer is more likely to name Mutual of Omaha first, even though New York Life is more broadly present.

The next move is targeted correction of the prompt, page, and citation layers that shape first-choice selection. Coverage and top-three placement are already strong. The gap is in the specific signals that AI systems associate with being named first, and that gap is concentrated on Gemini and AI Overviews. Closing it means understanding which prompts produce rank-one placements, which sources those answers draw from, and which owned and external assets can be strengthened to shift the primary recommendation toward New York Life.

Core Metrics

Metric

Value

Mentions

209

Valid recommendations

176

Top 3 recommendation count

135

Rank #1 recommendation count

18

Average recommended rank

2.71

Positive mentions

186

Neutral mentions

23

Negative mentions

0

Raw mention presence rate

80.38%

Valid recommendation coverage

67.69%

Top 3 recommendation rate

51.92%

Rank #1 recommendation rate

6.92%

Net sentiment score

0.89

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Perplexity (88.00% coverage)

Sentiment Score

Questions This Section Answers

  • How is New York Life's sentiment score calculated from its mentions?
  • Why should unclassified mention counts not be treated as business wins?

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

New York Life's sentiment score for October 2026 is 0.89, calculated from 186 positive mentions, 23 neutral mentions, and zero negative mentions across 209 total mentions.

This matters because unclassified mention counts are misleading. A brand can appear in an AI response without being recommended, and a neutral reference is not the same as a positive recommendation. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates framing quality from raw presence.

Sentiment by Platform

Questions This Section Answers

  • Which platforms show the strongest sentiment for New York Life, and which show weaker first-position signals?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Perplexity

23

22

1

0

0.96

Strongest public recommendation signal

Copilot

25

23

2

0

0.92

Strong coverage with moderate first-choice rate

ChatGPT

21

21

0

0

1.00

Positive, but rank-one rate is zero

Gemini

32

28

4

0

0.88

Present, but not recommendation-led at first position

AI Overviews

57

54

3

0

0.95

Highest absolute recommendation volume

AI Mode

51

38

13

0

0.75

Present as context, not first-choice recommendation

Methodology

  1. This report is a benchmark-based AI Visibility Company Market Strategy Report for New York Life in the Long-Term Care Insurance category, produced from the LLM Authority Index AI Visibility Market Discovery Index and supporting metrics aggregation for October 2026.
  2. The reporting month is October 2026, with baseline comparison to August 2026 and intermediate data from September 2026.
  3. Six AI platform families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The October 2026 measurement began with 800 prompt-surface observations and produced 260 qualified observations after relevance and eligibility qualification.
  5. Ten brands were tracked: New York Life, Mutual of Omaha, Nationwide, Northwestern Mutual, Transamerica, Lincoln Financial, National Guardian Life, Thrivent, Genworth, and Knights of Columbus.
  6. All 260 qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded for Pricing & Value or Multi-Brand Comparison.
  7. Stage 0 extraction retained 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 brand appears in a qualified AI response, regardless of whether it was recommended.
  9. A valid recommendation is counted when a brand receives a recommendation within the answer, as marked by the dataset. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 260 qualified observations as the public denominator, not the 800 raw collection.
  11. Average recommended rank covers rank-eligible recommendations only. Knights of Columbus has no rank-eligible recommendations and is marked N/A.
  12. The benchmark does not measure market share, sales, organic search rankings, social sentiment, private AI channels, or causality from any metric movement. Single-month movements should not be treated as established trends.

See How AI Is Recommending Your Brand

The public benchmark shows where New York Life leads and where it gives ground. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacement patterns, and citation sources behind those numbers, and identifies the highest-priority opportunities to strengthen first-choice recommendation frequency in the Long-Term Care Insurance category.

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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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