Harley-Davidson Insurance AI Visibility Market Strategy Report - Motorcycle Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Harley-Davidson Insurance had five mentions, all positive, giving it a net sentiment score of 1.0.
  • The brand’s valid recommendation coverage was 3.16%, with one top-three placement and no rank-one placements.
  • Copilot was the strongest platform, while ChatGPT, Gemini, Google AI Mode, and Google AI Overviews showed no measurable presence.
  • The main gap is scale: positive framing has not yet translated into shortlist inclusion across the category leaders.

Answer Capsule

Harley-Davidson Insurance holds a narrow, positive recommendation pocket in the October 2026 Motorcycle Insurance benchmark, with valid recommendation coverage of 3.16% and a net sentiment score of 1.0 across five mentions. The brand is visible but under-recommended: it appears in only 3.16% of qualified observations and earns just one top-three placement, with no rank-one recommendations. The clearest win is that every mention of the brand carried positive framing, and the clearest gap is that this positive framing has not converted into shortlist placement at scale. The clearest opportunity is to convert its existing positive sentiment into broader recommendation coverage across the high-intent Brand Recommendation cluster.

Who This Report Is For

This report is for Harley-Davidson Insurance marketing, brand, and growth leaders who need to understand how the brand is being surfaced and recommended in AI-generated answers across the motorcycle insurance category, and where the clearest path from visibility to recommendation sits.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Harley-Davidson Insurance

Category / market studied

Motorcycle Insurance

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

158

Competitors tracked

9

Executive Summary

Harley-Davidson Insurance is visible but under-recommended in the October 2026 Motorcycle Insurance benchmark. The brand recorded a raw mention presence rate of 3.16% and valid recommendation coverage of 3.16%, meaning it appeared in five qualified observations and was recommended in five. Its top-three rate was 0.63%, with a single top-three placement, and its rank-one rate was 0.00%, with no first-position recommendations.

The brand's framing quality is the strongest signal in its profile. All five mentions were classified as positive, producing a net sentiment score of 1.0, the highest reading among all tracked brands in the category. There were no neutral mentions and no negative mentions. That is a clean framing profile, but it operates on a very small base.

The strongest platform signal for Harley-Davidson Insurance came from Copilot, where the brand recorded a valid recommendation coverage of 21.05% and four valid recommendations, including one top-three placement. Perplexity also surfaced the brand once with a top-three placement. The brand recorded no measurable presence on ChatGPT, Gemini, Google AI Mode, or Google AI Overviews in the qualified set.

The clearest gap is scale. Harley-Davidson Insurance is present in roughly one in thirty qualified observations, while State Farm, USAA, and Progressive each appear in more than 97% of qualified observations and hold valid recommendation coverage above 67%. The brand's positive framing has not translated into shortlist inclusion at the rate the category leaders achieve.

The benchmark's qualified observation set for October 2026 was 158, the smallest in the July-to-October series, and all qualified observations fell into the Brand Recommendation cluster. Pricing and Value and Multi-Brand Comparison clusters contained no qualified observations, so the current benchmark cannot describe how Harley-Davidson Insurance performs on pricing or head-to-head comparison prompts.

The opportunity is specific: Harley-Davidson Insurance has a positive framing profile and a narrow but real recommendation pocket on Copilot. The path forward is to expand that pocket across the platforms and prompt types where the brand is currently absent, using the same positive attributes that already appear in its mentions.

What Harley-Davidson Insurance Is Winning

Questions This Section Answers

  • Where does Harley-Davidson Insurance have the strongest AI recommendation signal?
  • How does its sentiment score compare to other motorcycle insurance brands?

Harley-Davidson Insurance holds the highest net sentiment score in the Motorcycle Insurance benchmark at 1.0, based on five positive mentions and zero neutral or negative mentions. No other tracked brand recorded a perfect positive framing profile on a comparable base.

The brand's strongest platform is Copilot, where it recorded a valid recommendation coverage of 21.05% and four valid recommendations out of nineteen Copilot observations. That is a meaningful recommendation pocket on a single platform, and it includes one top-three placement.

The brand also recorded a top-three placement on Perplexity, where it appeared once with a rank-two position. That is a narrow signal, but it shows the brand can reach top-three placement on a platform outside Copilot.

These wins are real but small. The brand's overall valid recommendation coverage of 3.16% places it sixth among ten tracked brands, and its top-three rate of 0.63% places it seventh. The positive framing is the clearest asset; the recommendation scale is not yet there.

Where Harley-Davidson Insurance Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which platforms is Harley-Davidson Insurance absent from in the motorcycle insurance benchmark?
  • How large is the recommendation gap between Harley-Davidson Insurance and the category leaders?

The clearest gap is recommendation scale. Harley-Davidson Insurance recorded five valid recommendations out of 158 qualified observations, while State Farm recorded 119, USAA recorded 118, and Progressive recorded 106. The brand is present in the category conversation but is not being shortlisted at the rate the leaders achieve.

The second gap is platform coverage. Harley-Davidson Insurance recorded no measurable presence on ChatGPT, Gemini, Google AI Mode, or Google AI Overviews in the qualified set. Those four platforms account for the majority of qualified observations in the benchmark, and the brand is absent from all of them. Its entire recommendation footprint sits on Copilot and Perplexity.

The third gap is rank-one placement. The brand recorded zero rank-one recommendations in October 2026. State Farm recorded 68, USAA recorded 12, and Progressive recorded 7. Harley-Davidson Insurance is not being named first in any qualified observation, which means it is not winning the first-choice position in the prompts where it does appear.

The fourth gap is cluster coverage. All qualified observations in October 2026 fell into the Brand Recommendation cluster. Harley-Davidson Insurance has no measurable presence in Pricing and Value or Multi-Brand Comparison because those clusters contained no qualified observations in the current series. That is a benchmark limitation, not a brand-specific gap, but it means the brand's performance on pricing and comparison prompts is not yet measurable.

Compared to State Farm, which holds a 62.03% top-three rate and a 43.04% rank-one rate, Harley-Davidson Insurance is present but not recommended at the decision moment. The brand's positive framing is an asset, but it has not yet converted into the shortlist inclusion that drives buyer consideration.

Biggest Opportunity

Questions This Section Answers

  • How can Harley-Davidson Insurance convert its positive sentiment into broader recommendation coverage?
  • Which prompt cluster should Harley-Davidson Insurance target to expand its AI presence?

The biggest opportunity for Harley-Davidson Insurance is to convert its positive framing into broader recommendation coverage across the platforms where it is currently absent. The brand already has a clean sentiment profile and a working recommendation pocket on Copilot. The path forward is to expand that pocket to ChatGPT, Gemini, Google AI Mode, and Google AI Overviews, where the brand currently records no measurable presence.

That expansion should focus on the Brand Recommendation cluster, which is the only cluster with qualified observations in the current benchmark. The prompts in that cluster ask which provider is best for motorcycle insurance, which company to use, and which options to consider. Harley-Davidson Insurance has the brand recognition and the positive framing to compete in those prompts, but it is not yet appearing in the answers.

The specific opportunity is to build the citation and content layer that AI systems retrieve when forming motorcycle insurance recommendations. The benchmark's top cited domains are comparison and review sites, and no tracked brand's own domain appears in the top ten. That means the recommendation layer is being shaped by third-party sources, and Harley-Davidson Insurance needs to be present in those sources to be recommended at scale.

Competitive Landscape

Questions This Section Answers

  • How does Harley-Davidson Insurance's top-three and rank-one rate compare to State Farm, USAA, and Progressive?
  • What does Harley-Davidson Insurance's sentiment score relative to its top-three rate reveal about its market position?

State Farm holds the strongest recommendation-stage position in the Motorcycle Insurance category, with USAA and Progressive close behind on coverage but far behind on rank-one placement. Harley-Davidson Insurance sits in the small-count tier, where positive framing is present but recommendation scale is limited.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

State Farm

62.03%

43.04%

1.82

0.7792

Progressive

37.97%

4.43%

3.16

0.7013

USAA

31.01%

7.59%

3.69

0.7871

Allstate

15.19%

0.63%

3.99

0.6667

Nationwide

7.59%

1.90%

4.91

0.6387

Harley-Davidson Insurance

0.63%

0.00%

4.00

1.0000

Dairyland Insurance

1.27%

0.00%

2.50

0.6667

Foremost Insurance

0.00%

0.00%

4.00

0.5000

Markel

0.00%

0.00%

6.00

1.0000

GEICO RV Insurance

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Harley-Davidson Insurance ranks sixth by top-three rate and holds the highest sentiment score in the table. The brand's average recommended rank of 4.00 is based on a single rank-eligible recommendation, so it should be read as a narrow signal rather than a stable placement profile. The gap between its sentiment score and its top-three rate is the clearest indicator that positive framing has not yet converted into recommendation scale.

Prompt Evidence

Copilot / Brand Recommendation Prompt: "What is the best motorcycle insurance?" Result: Harley-Davidson Insurance appeared in the response with a positive mention and a valid recommendation, contributing to its 21.05% Copilot recommendation coverage.

Perplexity / Brand Recommendation Prompt: "Which insurance is best for a motorcycle?" Result: Harley-Davidson Insurance appeared with a top-three placement at rank two, the brand's only top-three position outside Copilot.

Google AI Overviews / Brand Recommendation Prompt: "What's the best company to get motorcycle insurance through?" Result: Harley-Davidson Insurance did not appear in the response. State Farm, USAA, and Progressive were the brands surfaced.

ChatGPT / Brand Recommendation Prompt: "What is a good motorcycle insurance?" Result: Harley-Davidson Insurance did not appear in the response. The brand recorded no measurable presence on ChatGPT in the qualified set.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Harley-Davidson Insurance appears, every prompt where it does not, and the competitor that takes the recommendation slot when the brand is absent.

Phase 2: Recommendation Readiness Plan Identify the attributes and proof points that AI systems associate with Harley-Davidson Insurance in its positive mentions, and build a plan to extend those attributes to the platforms where the brand is currently invisible.

Phase 3: Owned Answer Layer Buildout Build owned content that directly answers the high-intent motorcycle insurance prompts in the Brand Recommendation cluster, structured so AI systems can retrieve and cite it.

Phase 4: Citation / Authority Layer Development Develop presence in the comparison and review sources that AI systems cite most often in this category, since no tracked brand's own domain appears in the top ten cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Harley-Davidson Insurance's recommendation coverage, top-three rate, and rank-one rate month over month across all six platforms, with a focus on closing the gap between positive framing and shortlist inclusion.

Why This Matters

AI presence alone is not enough. Harley-Davidson Insurance already has the highest sentiment score in the category, but that positive framing has not converted into recommendation scale. The brand appears in roughly one in thirty qualified observations and holds a single top-three placement. Buyers who ask AI systems for motorcycle insurance recommendations are not seeing Harley-Davidson Insurance in the shortlist at the rate they see State Farm, USAA, or Progressive.

The next move is targeted correction of the prompt, page, and citation layers. The brand needs to be present in the prompts where it is currently absent, in the sources that AI systems retrieve, and in the answers that shape the buyer shortlist. Positive framing is the foundation; recommendation coverage is the goal.

Core Metrics

Metric

Value

Mentions

5

Valid recommendations

5

Top 3 recommendation count

1

Rank #1 recommendation count

0

Average recommended rank

4.00

Positive mentions

5

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

3.16%

Valid recommendation coverage

3.16%

Top 3 recommendation rate

0.63%

Rank #1 recommendation rate

0.00%

Net sentiment score

1.0000

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • How is the sentiment score calculated for Harley-Davidson Insurance?
  • Why is classified sentiment more important than raw mention counts?

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

For Harley-Davidson Insurance, the calculation is (5 × 1 + 0 × 0 + 0 × -1) / 5 = 1.0000.

This matters because unclassified mention counts are misleading. A brand that appears five times with positive framing is in a different position than a brand that appears five times with neutral or cautionary framing. 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. Harley-Davidson Insurance's five mentions are all positive, which is a genuine asset, but the brand's recommendation coverage is still 3.16%. Classified sentiment is required before interpreting AI visibility, and in this case it shows that the brand's framing quality is strong while its recommendation scale is not.

Sentiment by Platform

Questions This Section Answers

  • Which platform generates the strongest positive sentiment for Harley-Davidson Insurance?
  • What does the platform-level sentiment breakdown reveal about the reliability of the brand's recommendation signal?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

4

4

0

0

1.0000

Strongest public recommendation signal

Perplexity

1

1

0

0

1.0000

Positive, but sample too small

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Gemini

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

0

0

0

0

N/A

No public presence in this packet

Google AI Overviews

0

0

0

0

N/A

No public presence in this packet

Methodology

Questions This Section Answers

  • How many qualified observations were analyzed in the October 2026 motorcycle insurance benchmark?
  • What does the small observation count mean for interpreting Harley-Davidson Insurance's percentage movements?
  1. This report is a benchmark-based analysis of Harley-Davidson Insurance's AI recommendation visibility in the Motorcycle Insurance category. It is not a client implementation case study.
  2. The reporting month is October 2026.
  3. Six AI platform families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. The October 2026 benchmark produced 158 qualified observations from an initial collection of 800 prompt-surface observations and 675 unique questions.
  5. The tracked competitor universe includes Allstate, Dairyland Insurance, Foremost Insurance, GEICO RV Insurance, Harley-Davidson Insurance, Markel, Nationwide, Progressive, State Farm, and USAA.
  6. All qualified observations in October 2026 fell into the Brand Recommendation cluster. Pricing and Value and Multi-Brand Comparison clusters contained no 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.
  8. A mention is counted when Harley-Davidson Insurance appears in an AI response within the qualified observation set.
  9. A valid recommendation is counted when the brand appears in a valid recommendation shortlist, as marked by the benchmark. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated within the qualified observation set. Average recommended rank covers rank-eligible recommendations only.
  11. The October 2026 qualified observation count of 158 is the smallest in the July-to-October series. Brand-level percentages are calculated within each month's qualified set, so month-to-month comparison reflects both recommendation changes and the changing denominator.
  12. Small observation counts for niche brands mean percentage movements can overstate the scale of change. Harley-Davidson Insurance's five mentions and one top-three placement should be read with that constraint in mind.

See How AI Is Recommending Your Brand

The public benchmark shows where Harley-Davidson Insurance appears and where it does not. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources that shape how AI systems recommend the brand. It shows which high-intent prompts Harley-Davidson Insurance wins, which it loses, and which competitor takes the recommendation slot when the brand is absent.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT