CiteWorks Studio

Dairyland Insurance AI Market Strategy Report - RV Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Dairyland Insurance recorded zero mentions, recommendations, top-three placements, and rank-one placements across 264 qualified RV insurance observations.
  • The absence was consistent across all six tracked surfaces, including Google AI Mode, Google AI Overviews, ChatGPT, Gemini, Copilot, and Perplexity.
  • Competitors such as Progressive, Good Sam, and National General were repeatedly recommended, showing Dairyland is outside the AI consideration set rather than merely underperforming.
  • The main opportunity is to build a stronger public evidence layer with structured owned content and third-party citations that AI systems can retrieve for RV insurance recommendations.

Answer Capsule

Dairyland Insurance holds zero recommendation-stage presence in the September 2026 RV Insurance AI Market Discovery Index. Across 264 qualified observations spanning six AI surface families, the brand recorded no mentions, no valid recommendations, no top-three placements, and no rank-one placements. This is not a visibility gap in the ordinary sense. It is a complete absence from the AI-generated recommendation layer in an RV insurance category where competitors are actively competing for shortlist position. The clearest opportunity is foundational: build the public evidence layer that AI systems can retrieve, cite, and synthesize into RV insurance recommendations.

Who This Report Is For

This report is for Dairyland Insurance marketing, brand, and digital strategy leaders who need to understand why the brand is absent from AI-generated RV insurance recommendations and what structural work is required to enter the consideration set.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Dairyland Insurance

Category / market studied

RV Insurance

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 active (Brand Recommendation)

AI observations analyzed

264 qualified observations

Competitors tracked

9

Executive Summary

Dairyland Insurance recorded zero presence across every measured dimension in the September 2026 RV Insurance AI Market Discovery Index. The brand appeared in no AI-generated responses, received no valid recommendations, earned no top-three placements, and registered no rank-one positions across 264 qualified observations. Its net sentiment score is 0.0, reflecting the absence of any mention rather than a balance of positive and negative framing.

This absence is not shared across the category. Nine competing brands registered measurable presence and recommendation activity. Progressive RV Insurance led with 75.4% valid recommendation coverage and a 67.4% rank-one rate. Good Sam Insurance Agency followed at 65.5% coverage, National General at 52.6%, Roamly at 42.8%, GEICO RV Insurance at 33.3%, and Foremost Insurance at 25.4%. Even the smallest active brands, The Hartford at 3.0% coverage and Safeco Insurance at 1.5%, maintained some recommendation-stage presence.

The benchmark's single active cluster, Brand Recommendation, captured all 264 qualified observations in September 2026. This cluster measures prompts where AI systems name specific brands as recommended options. Dairyland Insurance was not named in any of them. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in the public benchmark, so the brand's absence cannot be attributed to those prompt types.

The category itself moved lower across most of the tracked field from July to September 2026. Four brands posted significant declines: Progressive RV Insurance, Good Sam Insurance Agency, GEICO RV Insurance, and Roamly. Foremost Insurance was the only significant riser, gaining 7.5 points in valid recommendation coverage. Dairyland Insurance remained flat at zero throughout the three-month window, neither gaining nor losing position because it held none to begin with.

The clearest platform signal for the category is the concentration of recommendation activity on Google AI Mode and Google AI Overviews, which together account for the largest share of qualified observations. Progressive RV Insurance captured 85.9% of the AI opportunity on Google AI Mode and 27.9% on Google AI Overviews. Dairyland Insurance captured zero on both. The brand also recorded zero presence on ChatGPT, Copilot, Gemini, and Perplexity.

The clearest gap is structural rather than competitive. Dairyland Insurance is not losing recommendations to competitors in the way that Good Sam Insurance Agency or GEICO RV Insurance are losing ground. The brand is simply not present in the information environment that AI systems draw from when generating RV insurance recommendations. This suggests a foundational citation architecture and public evidence layer gap rather than a positioning or messaging problem.

What Dairyland Insurance Is Winning

Questions This Section Answers

  • Did Dairyland Insurance record any presence, recommendations, or top-three placements in the September 2026 RV Insurance benchmark?
  • Why does a 0.0 net sentiment score not count as a neutral or positive result for Dairyland Insurance?

Dairyland Insurance recorded no measurable wins in the September 2026 RV Insurance AI Market Discovery Index. The brand holds zero presence rate, zero valid recommendation coverage, zero top-three rate, zero rank-one rate, and zero net sentiment across all 264 qualified observations.

This is stated plainly because the data supports no other interpretation. Unlike brands with small but nonzero presence, such as The Hartford at 3.0% coverage or Safeco Insurance at 1.5%, Dairyland Insurance does not appear in any AI-generated response within the benchmark's qualified observation set.

The absence of negative sentiment is not a win. A net sentiment score of 0.0 in this context reflects zero mentions, not neutral or balanced framing. The brand is not being discussed cautiously or critically. It is not being discussed at all.

Where Dairyland Insurance Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • On which AI platforms is Dairyland Insurance's absence most consequential for RV insurance recommendations?
  • How does Dairyland Insurance's coverage compare with Progressive RV Insurance and National General on Google AI Mode, Google AI Overviews, ChatGPT, and Perplexity?

The primary gap is total absence from the AI recommendation layer. Across six AI surface families and 264 qualified observations, Dairyland Insurance was not mentioned, recommended, shortlisted, or ranked. This distinguishes it from every other tracked brand in the benchmark, all of which recorded at least some presence.

The gap is most pronounced on Google AI Mode and Google AI Overviews, which together account for the majority of qualified observations in the benchmark. Progressive RV Insurance captured 85.9% of the AI opportunity on Google AI Mode and 27.9% on Google AI Overviews. National General captured 2.5% on Google AI Mode and 11.0% on Google AI Overviews. Even The Hartford, with minimal overall presence, captured a small share on Google AI Mode. Dairyland Insurance captured zero on both surfaces.

On ChatGPT, Progressive RV Insurance recorded 91.3% valid recommendation coverage and a 91.3% rank-one rate. National General recorded 95.7% coverage. Good Sam Insurance Agency recorded 82.6% coverage. Foremost Insurance recorded 52.2% coverage. Dairyland Insurance recorded zero.

On Perplexity, Progressive RV Insurance and Good Sam Insurance Agency each recorded 100% valid recommendation coverage. Roamly recorded 100% coverage. National General recorded 88.2% coverage. Dairyland Insurance recorded zero.

On Gemini, Progressive RV Insurance recorded 100% coverage, National General recorded 92.0%, Foremost Insurance recorded 84.0%, Good Sam Insurance Agency recorded 76.0%, and Roamly recorded 72.0%. Dairyland Insurance recorded zero.

On Copilot, Progressive RV Insurance recorded 75.0% coverage, Good Sam Insurance Agency recorded 75.0%, National General recorded 75.0%, and Roamly recorded 75.0%. Dairyland Insurance recorded zero.

The pattern is consistent across every platform and every cluster. Dairyland Insurance is not present in the public evidence layer that AI systems retrieve from when generating RV insurance recommendations. Competitors are being recommended in the brand's absence, not instead of it.

Biggest Opportunity

Questions This Section Answers

  • What foundational work does Dairyland Insurance need to do before AI systems can recommend it for RV insurance?
  • Why is the brand's problem a citation architecture and public evidence gap rather than a positioning issue?

The single biggest opportunity for Dairyland Insurance is to build the foundational public evidence layer required for AI systems to retrieve, cite, and synthesize the brand into RV insurance recommendations. This is not a matter of improving positioning or refining messaging. It is a matter of creating the citation architecture, owned answer content, and third-party source footprint that AI systems draw from when generating recommendation-stage responses.

The benchmark shows that recommendation-stage visibility in RV insurance is concentrated on Google AI Mode, Google AI Overviews, ChatGPT, and Perplexity. These surfaces prioritize retrievable, well-structured, citation-supported content. Dairyland Insurance currently has no measurable presence in this layer. Building it is the prerequisite for every subsequent visibility and recommendation outcome.

Competitive Landscape

Questions This Section Answers

  • Who leads RV insurance recommendation power, and where does Dairyland Insurance rank against the nine tracked competitors?
  • What do the top-three, rank-one, and average recommended rank figures show about how far Dairyland Insurance sits outside the competitive set?

Progressive RV Insurance holds dominant recommendation power in the RV Insurance category, with Good Sam Insurance Agency as the strongest challenger and National General, Roamly, GEICO RV Insurance, and Foremost Insurance forming a competitive middle tier. Dairyland Insurance sits outside the competitive set entirely, with zero recommendation-stage presence across all tracked platforms and clusters.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Progressive RV Insurance

70.45%

67.42%

1

0.7846

Good Sam Insurance Agency

43.18%

0.38%

3

0.8894

National General

29.92%

0.00%

3

0.915

GEICO RV Insurance

17.80%

0.38%

3

0.6791

Foremost Insurance

14.39%

1.89%

3

0.8734

Roamly

10.98%

0.38%

4

0.876

Safeco Insurance

1.14%

0.00%

3

0.3636

American Family Insurance

1.14%

0.00%

4

0.7778

The Hartford

0.38%

0.00%

5

1.0

Dairyland Insurance

0.00%

0.00%

N/A

0.0

Average recommended rank covers rank-eligible recommendations only.

Dairyland Insurance ranks last in the competitive set with a zero top-three rate, a zero rank-one rate, and no rank-eligible recommendations. The brand's absence is categorical rather than marginal.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "Who has the cheapest insurance for RVs?" Result: Progressive RV Insurance, National General, and Good Sam Insurance Agency were recommended. Dairyland Insurance was not mentioned.

ChatGPT / Brand Recommendation Prompt: "What type of insurance do I need for my RV?" Result: Progressive RV Insurance, National General, and Good Sam Insurance Agency were recommended. Dairyland Insurance was not mentioned.

Perplexity / Brand Recommendation Prompt: "How much does trailer insurance usually cost?" Result: Progressive RV Insurance, Good Sam Insurance Agency, and Roamly were recommended. Dairyland Insurance was not mentioned.

Google AI Overviews / Brand Recommendation Prompt: "rv insurance companies" Result: Progressive RV Insurance, Good Sam Insurance Agency, and National General were recommended. Dairyland Insurance was not mentioned.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What are the five phases planned to move Dairyland Insurance from zero presence to AI recommendation readiness?
  • Which phases address the citation and owned answer layer gaps identified in the benchmark?

Phase 1: AI Market Discovery Audit Map the specific prompt clusters, platforms, and competitor displacement patterns where Dairyland Insurance is absent, establishing a baseline for recommendation-stage visibility and citation coverage.

Phase 2: Recommendation Readiness Plan Identify the content types, source categories, and citation structures that AI systems retrieve from when generating RV insurance recommendations, and prioritize the gaps Dairyland Insurance must close.

Phase 3: Owned Answer Layer Buildout Develop structured, retrievable content on Dairyland Insurance properties that directly addresses the high-intent prompts where the brand is currently absent, including coverage, cost, and comparison topics.

Phase 4: Citation and Authority Layer Development Build the third-party source footprint, including industry references, comparison pages, and authoritative citations, that AI systems draw from when synthesizing RV insurance recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Dairyland Insurance's presence, recommendation coverage, top-three rate, and rank-one rate across all six AI surface families, tracking progress against the competitive set and adjusting strategy based on observed movement.

Why This Matters

Questions This Section Answers

  • Why is being named in AI-generated RV insurance responses the entry point to the buyer shortlist?
  • Why is presence alone not enough for brands like Good Sam Insurance Agency and GEICO RV Insurance?

AI-generated recommendations are becoming the first stage of buyer discovery in RV insurance. When a buyer asks an AI system which RV insurance company to consider, the brands named in that response enter the shortlist. Brands not named do not. Dairyland Insurance is currently not named in any qualified observation across any platform or cluster.

Presence alone is not enough. The benchmark shows that brands like Good Sam Insurance Agency and GEICO RV Insurance maintain significant presence but are losing recommendation coverage. The next move for Dairyland Insurance is not simply to appear in AI responses. It is to build the citation architecture, owned answer content, and public evidence layer that AI systems require before they will recommend a brand. That work starts with understanding where recommendations are formed and what sources AI systems retrieve from.

Core Metrics

Metric

Value

Mentions

0

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.00%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.0

Strongest cluster by recommendation behavior

None (no presence in any cluster)

Strongest platform by recommendation behavior

None (no presence on any platform)

Sentiment Score

Questions This Section Answers

  • Why does Dairyland Insurance show a 0.0 sentiment score, and how does that differ from a brand with balanced positive and negative mentions?
  • Why is raw mention counting misleading for interpreting AI visibility in this category?

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

Dairyland Insurance recorded zero mentions across all 264 qualified observations in September 2026. With no positive, neutral, or negative mentions, the sentiment score is 0.0. This is not a neutral score in the conventional sense. A score of 0.0 for a brand with zero mentions reflects absence, not balance.

This distinction matters because unclassified mention counts can be misleading. A brand with ten positive mentions and ten negative mentions would also score 0.0, but that brand is being discussed and evaluated. Dairyland Insurance is not being discussed at all. 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. Classified sentiment is required before interpreting AI visibility, and for Dairyland Insurance, there is no sentiment to classify because there is no visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

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

Perplexity

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

Google AI Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Dairyland Insurance's position in the September 2026 RV Insurance AI Market Discovery Index, produced by the LLM Authority Index and interpreted by CiteWorks Studio. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting window is September 2026, with comparison data from July 2026 and August 2026 where available.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six recorded qualified observations in September 2026.
  4. The benchmark began with 800 prompt-surface observations in September 2026. After deduplication, 557 unique questions were identified. Of the 800 prompts, 800 mentioned at least one tracked brand, 431 were relevant to the RV insurance category, and 369 were filtered as irrelevant. The public metrics use the 264 qualified observations that survived both qualification stages.
  5. The competitor universe consists of ten tracked brands: Progressive RV Insurance, Good Sam Insurance Agency, National General, Roamly, GEICO RV Insurance, Foremost Insurance, The Hartford, American Family Insurance, Safeco Insurance, and Dairyland Insurance.
  6. One buyer-intent cluster was active in the September 2026 public benchmark: Brand Recommendation, which captured all 264 qualified observations. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.
  8. A mention is defined as the brand appearing in an AI response, regardless of recommendation status. A valid recommendation is defined as the brand appearing in a valid recommendation shortlist. Top-three rate is the share of qualified observations in which the brand appears among the top three recommended options. Rank-one rate is the share of qualified observations in which the brand is the first recommended option.
  9. Average recommended rank covers rank-eligible recommendations only. Dairyland Insurance has no rank-eligible recommendations and is recorded as N/A.
  10. The benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. It is a directional measure of how AI and search surfaces present brands in response to natural-language queries.
  11. Small-count brands, defined as those with fewer than 15 valid recommendations, should be interpreted with extra caution. Dairyland Insurance recorded zero valid recommendations and is outside the small-count category entirely.
  12. The three-month window from July to September 2026 provides series context. Single-month changes between August and September were generally within normal variation. Dairyland Insurance recorded no movement in any month because it held no presence to begin with.

See Where AI Is Recommending Your Brand

Dairyland Insurance is absent from AI-generated RV insurance recommendations across every tracked platform and cluster. Understanding why requires a company-level audit that maps the specific prompt clusters, citation sources, and competitive displacement patterns that determine which brands AI systems recommend. An AI visibility audit can identify where the brand is missing, what sources competitors are drawing from, and what structural work is required to enter the consideration set.

/ 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