Nationwide AI Visibility Market Strategy Report - Long-Term Care Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Nationwide is mentioned in 61.54% of qualified AI responses but recommended in only 53.08%, showing a clear presence-to-recommendation gap.
  • The brand’s strongest platform signals are Perplexity and Google AI Overviews, where recommendation coverage and top-three placement are comparatively strong.
  • Google AI Mode is the weakest platform for Nationwide, with a wide gap between mentions and valid recommendations.
  • Nationwide’s sentiment is strongly positive overall, but favorable framing has not prevented a 22.42-point drop in valid recommendation coverage since baseline.

Answer Capsule

Nationwide holds the third-strongest recommendation position in the October 2026 Long-Term Care Insurance benchmark, with 53.08% valid recommendation coverage across 260 qualified observations. The brand is visible in 61.54% of AI responses but is recommended in only 53.08% of them, a conversion gap that widened sharply from its August 2026 baseline of 75.50% coverage. Nationwide's clearest win is its first-choice placement rate of 7.31%, which held or improved even as overall coverage contracted. Its clearest weakness is a 22.42-point decline in valid recommendation coverage since baseline, the largest in the tracked set. Its clearest opportunity is closing the gap between raw mention presence and valid recommendation conversion, particularly on Google AI Mode and Copilot, where the brand's recommendation placement lags its coverage.

Who This Report Is For

This report is for Nationwide's marketing, brand strategy, and digital leadership teams, and for category analysts tracking how AI search and chat surfaces are reshaping carrier selection in long-term care insurance.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Nationwide

Category / market studied

Long-Term Care Insurance

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 with sufficient data (C01: Best No-Exam Life Insurance Providers & Policies)

AI observations analyzed

260 qualified observations

Competitors tracked

9

Executive Summary

Nationwide enters October 2026 as the third-ranked brand in the Long-Term Care Insurance AI recommendation benchmark, holding 53.08% valid recommendation coverage across 260 qualified observations. The brand is mentioned in 61.54% of AI responses but is recommended in only 53.08% of them, meaning roughly one in seven responses that mention Nationwide does not convert that mention into a valid recommendation. This presence-to-recommendation gap is the central strategic issue.

The benchmark shows Nationwide posted the largest baseline-to-current decline of any tracked brand, falling 22.42 points from 75.50% valid recommendation coverage in August 2026 to 53.08% in October 2026. The decline extended across both months since baseline, with a 20.4-point drop in September 2026 followed by a further 2.0-point decline in October 2026. Raw mention presence fell 29.3 points over the same period, from 90.8% to 61.54%, and top-three placement fell 32.3 points from 67.3% to 35.0%.

The clearest positive signal is Nationwide's first-choice placement rate. Rank-one placement rose 3.2 points from 4.1% in August 2026 to 7.31% in October 2026, representing 19 first-position recommendations. This means Nationwide is being recommended in fewer observations overall, but when it does appear, it wins the top position more often than it did at baseline. Coverage and first-choice placement moved in opposite directions.

Nationwide's strongest platform signal is on Perplexity, where it holds 64.0% valid recommendation coverage and a 20.0% rank-one rate across 25 observations. On Google AI Overviews, the brand holds 76.0% valid recommendation coverage and a 53.33% top-three rate across 75 observations. These two platforms account for the majority of Nationwide's recommendation strength.

The clearest platform gap is on Google AI Mode, where Nationwide holds only 27.63% valid recommendation coverage across 76 observations, despite being mentioned in 43.42% of them. Copilot shows a similar pattern, with 74.07% valid recommendation coverage but only 29.63% top-three placement, suggesting the brand is recommended but not placed prominently.

The strongest cluster is C01 (Best No-Exam Life Insurance Providers & Policies), which is the only cluster with sufficient data in this benchmark. All 260 qualified observations fall into the Brand Recommendation buyer-intent class. No qualified observations were recorded for Pricing & Value or Multi-Brand Comparison in any month of the series, meaning the benchmark cannot yet show how AI systems weigh cost or head-to-head comparison signals for Nationwide.

What Nationwide Is Winning

Questions This Section Answers

  • Which AI recommendation metrics is Nationwide actually winning in long-term care insurance?
  • Where does Nationwide's presence convert into recommendations most effectively?

Nationwide's strongest evidence-backed win is its first-choice recommendation rate. At 7.31% rank-one placement in October 2026, Nationwide holds the third-highest first-position rate in the tracked set, behind Mutual of Omaha (29.62%) and Northwestern Mutual (16.15%). The brand improved this metric by 3.2 points from its August 2026 baseline of 4.1%, even as its overall coverage declined significantly.

On Perplexity, Nationwide holds 64.0% valid recommendation coverage and a 20.0% rank-one rate across 25 observations. This is the brand's strongest platform-level recommendation signal and suggests that Perplexity's retrieval and synthesis patterns favor Nationwide more than other platforms do.

On Google AI Overviews, Nationwide holds 76.0% valid recommendation coverage and a 53.33% top-three rate across 75 observations. The brand is mentioned in 78.67% of AI Overviews responses and recommended in 76.0% of them, a conversion rate that far exceeds its category-level performance.

Nationwide also shows zero negative mentions across all 260 qualified observations. Its net sentiment score of 0.9062 reflects 145 positive mentions, 15 neutral mentions, and zero negative mentions. The brand's framing quality in AI responses is consistently positive or neutral.

Where Nationwide Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where is Nationwide mentioned but not recommended in AI responses?
  • Which platforms show the widest gap between Nationwide's presence and recommendation coverage?

Nationwide's most significant gap is the 22.42-point decline in valid recommendation coverage since the August 2026 baseline. The brand fell from 75.50% coverage to 53.08%, the largest decline in the tracked set. This decline was driven primarily by a 29.3-point drop in raw mention presence, from 90.8% to 61.54%, and a 32.3-point drop in top-three placement, from 67.3% to 35.0%.

The brand's presence-to-recommendation conversion gap is the second major issue. Nationwide is mentioned in 61.54% of qualified observations but recommended in only 53.08% of them. This 8.46-point gap means that in roughly one in seven responses where Nationwide appears, the brand is referenced but not recommended. By comparison, New York Life converts 80.38% presence into 67.69% coverage, and Mutual of Omaha converts 76.15% presence into 66.54% coverage. Nationwide's conversion rate is lower than both.

On Google AI Mode, Nationwide holds only 27.63% valid recommendation coverage across 76 observations, despite being mentioned in 43.42% of them. This 15.79-point gap between presence and recommendation is the widest platform-level conversion gap in Nationwide's profile. The brand is being referenced on Google AI Mode but not converted into a recommendation at the rate it is on other platforms.

On Copilot, Nationwide holds 74.07% valid recommendation coverage but only 29.63% top-three placement. The brand is being recommended on Copilot but not placed in the top three at the rate its coverage would suggest. This suggests that Copilot's recommendation format may be listing Nationwide lower in the response than other platforms do.

The brand is absent from the top 10 cited domains in the category. No tracked brand's own domain appears in the top 10, but the citation layer is dominated by financial comparison and review sites including nerdwallet.com, policygenius.com, ethos.com, and moneygeek.com, alongside general news and business outlets such as cnbc.com, forbes.com, and wsj.com. Nationwide's public evidence layer does not appear to be shaping the citation environment at the same level as these third-party sources.

Biggest Opportunity

Questions This Section Answers

  • Which platform-level gap represents Nationwide's highest-leverage improvement opportunity?
  • How much could Nationwide's overall recommendation coverage rise by closing the Google AI Mode and Copilot gaps?

Nationwide's biggest opportunity is closing the presence-to-recommendation conversion gap on Google AI Mode and Copilot. On Google AI Mode, the brand is mentioned in 43.42% of responses but recommended in only 27.63%, a 15.79-point gap. On Copilot, the brand is recommended in 74.07% of responses but placed in the top three in only 29.63%, a 44.44-point gap between recommendation and prominent placement.

These two platforms represent the clearest path from reference to recommendation for Nationwide. The brand already has strong recommendation signals on Perplexity and Google AI Overviews. If Nationwide can improve its conversion rate on Google AI Mode and its top-three placement rate on Copilot to match its performance on AI Overviews, its overall valid recommendation coverage would rise materially.

The opportunity is tied to the Brand Recommendation cluster, which is the only buyer-intent class with qualified observations in this benchmark. Nationwide's ability to convert mentions into recommendations on Google AI Mode and Copilot is the single highest-leverage improvement available in the current dataset.

Competitive Landscape

Questions This Section Answers

  • Where does Nationwide rank against other long-term care insurance carriers in AI recommendations?
  • How large is the top-three placement gap between Nationwide and the leading brands?

New York Life and Mutual of Omaha hold the strongest recommendation-stage positions in the Long-Term Care Insurance category, with Nationwide, Northwestern Mutual, and Transamerica forming the next tier. Nationwide sits third in the tracked set, with a 53.08% valid recommendation coverage rate and a 7.31% rank-one rate.

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.

Nationwide's 35.00% top-three rate places it third in the tracked set, 16.92 points behind New York Life and 14.62 points behind Mutual of Omaha. Its 7.31% rank-one rate is third-highest, behind Mutual of Omaha and Northwestern Mutual. Its average recommended rank of 3.05 is fourth-best in the set, behind Mutual of Omaha (2.32), New York Life (2.71), and Northwestern Mutual (2.73). The table shows that Nationwide is a strong third-place brand in recommendation-stage visibility, with a meaningful gap to the top two and a comfortable lead over the rest of the field.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "Who is the best life insurance to go with?" Result: Nationwide was recommended in 64.0% of Perplexity responses and placed first in 20.0% of them, making this the brand's strongest platform-level recommendation signal.

Google AI Mode / Brand Recommendation Prompt: "Who is the #1 insurance company?" Result: Nationwide was mentioned in 43.42% of Google AI Mode responses but recommended in only 27.63% of them, a 15.79-point conversion gap that represents the brand's clearest platform-level weakness.

Copilot / Brand Recommendation Prompt: "What are the big 3 insurance companies?" Result: Nationwide was recommended in 74.07% of Copilot responses but placed in the top three in only 29.63% of them, suggesting the brand is listed but not positioned prominently.

Google AI Overviews / Brand Recommendation Prompt: "best long term care insurance" Result: Nationwide was mentioned in 78.67% of AI Overviews responses and recommended in 76.0% of them, with a 53.33% top-three rate, making this the brand's strongest platform for presence-to-recommendation conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Nationwide's prompt-level recommendation patterns across all six platforms, with particular focus on the Google AI Mode conversion gap and the Copilot top-three placement gap.

Phase 2: Recommendation Readiness Plan Identify the specific prompt types and response formats where Nationwide is mentioned but not recommended, and prioritize the highest-leverage corrections.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the Brand Recommendation prompts where Nationwide is losing recommendation conversion, with clear, extractable answers that AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Strengthen Nationwide's presence in the third-party comparison and review sources that dominate the category's citation layer, including nerdwallet.com, policygenius.com, and moneygeek.com.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Nationwide's valid recommendation coverage, top-three rate, and rank-one rate month over month, with platform-level breakdowns to measure progress on the Google AI Mode and Copilot gaps.

Why This Matters

Nationwide's AI visibility challenge is not a presence problem. The brand is mentioned in 61.54% of qualified observations, which is the third-highest presence rate in the tracked set. The challenge is converting that presence into valid recommendations, particularly on Google AI Mode and Copilot, where the brand's presence-to-recommendation conversion rate lags its performance on Perplexity and Google AI Overviews.

The benchmark shows that AI presence alone is not enough. A brand can be mentioned in an AI response without being recommended, and a brand can be recommended without being placed in the top three. Nationwide's 22.42-point decline in valid recommendation coverage since August 2026, combined with its 8.46-point presence-to-recommendation gap, indicates that the brand's public evidence layer is not consistently supporting recommendation-stage visibility. The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems recommend Nationwide in the Long-Term Care Insurance category.

Core Metrics

Metric

Value

Mentions

160

Valid recommendations

138

Top 3 recommendation count

91

Rank #1 recommendation count

19

Average recommended rank

3.05

Positive mentions

145

Neutral mentions

15

Negative mentions

0

Raw mention presence rate

61.54%

Valid recommendation coverage

53.08%

Top 3 recommendation rate

35.00%

Rank #1 recommendation rate

7.31%

Net sentiment score

0.9062

Strongest cluster by recommendation behavior

C01: Best No-Exam Life Insurance Providers & Policies

Strongest platform by recommendation behavior

Perplexity (64.0% valid recommendation coverage)

Sentiment Score

Questions This Section Answers

  • What does Nationwide's sentiment score reveal about how AI systems frame the brand?
  • Why does positive framing alone not guarantee recommendation conversion for Nationwide?

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

Nationwide's sentiment score for October 2026 is 0.9062, calculated from 145 positive mentions, 15 neutral mentions, and zero negative mentions across 160 total mentions. This score indicates that AI systems frame Nationwide positively or neutrally in virtually all responses where the brand appears.

This matters because unclassified mention counts are misleading. 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. Nationwide's zero negative mentions and high positive share indicate strong framing quality, but framing quality alone does not guarantee recommendation conversion. The brand's 8.46-point presence-to-recommendation gap shows that positive framing does not automatically translate into valid recommendation credit.

Share of voice is a diagnostic metric, not a business KPI. Nationwide's 61.54% presence rate is a diagnostic signal that the brand is visible in AI responses. Its 53.08% valid recommendation coverage is the more commercially relevant metric, because it measures how often the brand is actually recommended. Classified sentiment is required before interpreting AI visibility, and Nationwide's sentiment profile is strong but does not fully explain its recommendation coverage decline.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does Nationwide receive the strongest or weakest AI sentiment?
  • What does Nationwide's sentiment profile reveal about how each platform treats the brand?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

14

12

2

0

0.8571

Present, but not recommendation-led

Copilot

24

22

2

0

0.9167

Recommended, but not placed prominently

Gemini

14

14

0

0

1.0000

Positive, but sample too small

Perplexity

16

16

0

0

1.0000

Strongest public recommendation signal

Google AI Overviews

59

57

2

0

0.9661

Strongest presence-to-recommendation conversion

Google AI Mode

33

24

9

0

0.7273

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of Nationwide's AI recommendation visibility in the Long-Term Care Insurance category, produced from the LLM Authority Index October 2026 measurement and supporting metrics aggregation data.
  2. The reporting month is October 2026, with baseline comparisons to August 2026 and intermediate data from September 2026.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The October 2026 measurement produced 260 qualified observations from an initial 800 prompt-surface observations, after relevance and eligibility qualification.
  5. The competitor universe includes 10 tracked brands: Nationwide, New York Life, Mutual of Omaha, Northwestern Mutual, Transamerica, Lincoln Financial, National Guardian Life, Thrivent, Genworth, and Knights of Columbus.
  6. One public high-intent cluster had sufficient data for analysis: C01, Best No-Exam Life Insurance Providers & Policies. Clusters C02 and C03 had no qualified observations in this measurement period.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any instance where Nationwide was referenced in an AI response, regardless of whether it was recommended.
  9. A valid recommendation is defined as an instance where Nationwide received a positive recommendation within the answer, as marked by the dataset.
  10. All brand-level percentages use the 260 qualified observations as the public denominator, not the raw 800 prompt-surface observations.
  11. Average recommended rank covers rank-eligible recommendations only. Nationwide's average recommended rank of 3.05 is calculated from its 138 valid recommendations.
  12. The benchmark does not measure market share, sales, organic search ranking performance, social media mention volume, or causality from metric movements. Single-month movements should not be treated as established trends.

See How AI Is Recommending Your Brand

The public benchmark shows where Nationwide stands in AI recommendations across the Long-Term Care Insurance category. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources that shape those recommendations, and identifies the highest-leverage opportunities to improve recommendation outcomes.

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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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