Pie Insurance AI Visibility Market Strategy Report - Workers Compensation Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Pie Insurance appeared in only 4 qualified observations and earned 3 valid recommendations, showing limited but favorable conversion when surfaced.
  • The brand had no mentions on ChatGPT, Copilot, or Perplexity, leaving it out of major recommendation conversations.
  • Google AI Overviews was Pie Insurance’s strongest platform, with 2 valid recommendations and 1 top-three placement.
  • The Hartford, Travelers, and Chubb far outperformed Pie Insurance on top-three and rank-one recommendation rates.

Answer Capsule

Pie Insurance holds minimal recommendation-stage visibility in the Workers Compensation Insurance category, with valid recommendation coverage of 1.67% in October 2026. The brand appeared in just 4 of 180 qualified observations, producing 3 valid recommendations and 2 top-three placements. Pie Insurance recorded zero rank-one recommendations and an average recommended rank of 3.67 when it did receive placement credit. The clearest opportunity lies in converting its narrow presence into consistent shortlist eligibility, particularly on ChatGPT and Perplexity, where competitors maintain strong recommendation positions and Pie Insurance currently records none.

Who This Report Is For

This report is written for Pie Insurance's marketing, communications, and strategy teams, as well as category analysts tracking AI recommendation dynamics in commercial insurance. It is also relevant for distribution partners and investors seeking to understand how AI systems currently position the brand relative to established carriers.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Pie Insurance

Category / market studied

Workers Compensation Insurance

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

180

Competitors tracked

9

Executive Summary

Pie Insurance holds minimal recommendation-stage visibility in the Workers Compensation Insurance category. The benchmark recorded valid recommendation coverage of 1.67% in October 2026, meaning the brand received a clear recommendation in just 3 of 180 qualified observations. This places Pie Insurance ninth among the ten tracked brands, ahead of only EMPLOYERS.

The gap between presence and recommendation is not the primary issue for Pie Insurance. The brand appeared in only 4 qualified observations, a raw mention presence rate of 2.22%. When it did appear, it converted to a valid recommendation in 3 of those 4 instances. The challenge is not conversion inefficiency but near-total absence from the recommendation conversation.

Pie Insurance recorded 2 top-three placements in October 2026, a top-three rate of 1.11%. The brand received zero rank-one recommendations, meaning it was never positioned as the first choice in any qualified observation. Its average recommended rank of 3.67 reflects placement in third position when it did receive credit.

The strongest platform signal for Pie Insurance came from Google AI Overviews, where the brand recorded 2 valid recommendations and 1 top-three placement. Google AI Mode also produced 1 valid recommendation. ChatGPT, Copilot, and Perplexity returned zero mentions for Pie Insurance across all qualified observations. Gemini produced 1 neutral mention with no recommendation.

The clearest gap is the brand's absence from ChatGPT and Perplexity, platforms where competitors like The Hartford, Travelers, and Chubb maintain strong recommendation positions. The Hartford alone recorded 18 valid recommendations on ChatGPT and 21 on Perplexity, while Pie Insurance recorded none on either platform.

The category leader, The Hartford, holds 63.3% valid recommendation coverage with a 32.78% rank-one rate. Travelers follows at 56.1% coverage, and Chubb at 55.0%. The distance between Pie Insurance and the category leaders exceeds 50 percentage points on valid recommendation coverage.

What Pie Insurance Is Winning

Questions This Section Answers

  • How efficiently does Pie Insurance convert AI mentions into valid recommendations?
  • Which platform is producing Pie Insurance's strongest recommendation result?

Pie Insurance's clearest win is its conversion efficiency when it does appear. The brand converted 3 of 4 mentions into valid recommendations, a conversion pattern that suggests when AI systems surface Pie Insurance, they tend to position it favorably rather than as a neutral reference.

The brand also recorded zero negative mentions across all qualified observations. Its net sentiment score of 0.7500 reflects 3 positive mentions and 1 neutral mention, with no cautionary or negative framing detected.

Google AI Overviews produced the strongest platform result for Pie Insurance, with 2 valid recommendations and 1 top-three placement. This platform represents the brand's most productive surface in the current benchmark.

These wins are narrow. With only 4 total mentions and 3 valid recommendations, the sample size is too small to establish a durable pattern. The evidence suggests Pie Insurance is visible in isolated instances, not that it holds meaningful recommendation power in the category.

Where Pie Insurance Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • On which AI platforms is Pie Insurance completely absent from the recommendation conversation?
  • How far behind are Pie Insurance's top-three placement and rank-one rates compared to category leaders?

Pie Insurance is absent from the platforms where recommendation decisions concentrate. ChatGPT, which produced 29 qualified observations in October 2026, returned zero mentions for Pie Insurance. Perplexity, with 27 qualified observations, also returned zero mentions. Copilot, with 20 qualified observations, returned zero mentions.

This absence matters because competitors maintain strong positions on these platforms. The Hartford recorded 18 valid recommendations on ChatGPT and 21 on Perplexity. Travelers recorded 18 valid recommendations on ChatGPT and 21 on Perplexity. Chubb recorded 18 valid recommendations on ChatGPT and 22 on Perplexity. Pie Insurance recorded none on either platform.

The brand's presence on Google AI Overviews and Google AI Mode is not sufficient to offset its absence elsewhere. Google AI Overviews produced 38 qualified observations, and Google AI Mode produced 33. Even on these platforms, Pie Insurance's 2 valid recommendations on AI Overviews and 1 on AI Mode represent a small fraction of available recommendation slots.

The gap extends to top-three placement. Pie Insurance recorded 2 top-three placements across all platforms, a top-three rate of 1.11%. The Hartford recorded 90 top-three placements, a rate of 50.00%. Travelers recorded 52, and Chubb recorded 48. The distance between Pie Insurance and the category leaders on shortlist eligibility exceeds 45 percentage points.

Pie Insurance also recorded zero rank-one recommendations. The Hartford recorded 59 first-place placements, Travelers recorded 17, and Chubb recorded 14. Nationwide, which holds lower overall coverage than several competitors, still recorded 8 rank-one placements. Pie Insurance has not yet achieved first-position recommendation credit in any qualified observation.

Biggest Opportunity

Questions This Section Answers

  • Which platforms represent the clearest recommendation opportunity for Pie Insurance?
  • What prompt types drive recommendation decisions in workers compensation insurance, and where is Pie Insurance missing from them?

Pie Insurance's clearest path from reference to recommendation lies in establishing presence on ChatGPT and Perplexity, the two platforms where it currently records zero mentions and where competitors maintain strong recommendation positions.

ChatGPT produced 29 qualified observations in October 2026, and Perplexity produced 27. Together, these platforms account for 56 of the 180 qualified observations, nearly one-third of the benchmark. Pie Insurance's complete absence from both platforms means the brand is not competing for recommendation slots in a substantial portion of the category's AI discovery surface.

The opportunity is not simply to appear on these platforms but to appear in recommendation contexts. The brand's conversion pattern on Google AI Overviews, where both mentions became valid recommendations, suggests that when Pie Insurance is surfaced, AI systems tend to position it favorably. Extending that pattern to ChatGPT and Perplexity would require the brand's public evidence layer to become retrievable and attributable on those platforms.

The specific prompt types that drive recommendation decisions in this category include discovery queries such as "commercial insurance companies" and "What is the best commercial insurance?" as well as evaluation queries such as "Who offers the best commercial insurance?" and "What is the best small business general liability insurance?" Pie Insurance's absence from these prompt contexts on ChatGPT and Perplexity represents the clearest gap between current visibility and available recommendation opportunity.

Competitive Landscape

Questions This Section Answers

  • Where does Pie Insurance rank against the nine tracked competitors in the workers compensation insurance category?
  • How does Pie Insurance's average recommended rank compare to brands with higher and lower top-three rates?

The Hartford holds dominant recommendation power in the Workers Compensation Insurance category, with Travelers and Chubb as the strongest challengers. Pie Insurance sits near the bottom of the tracked set, ahead of only EMPLOYERS on valid recommendation coverage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

The Hartford

50.00%

32.78%

2.33

0.7756

Travelers

28.89%

9.44%

3.29

0.7051

Chubb

26.67%

7.78%

3.54

0.7310

Nationwide

18.89%

4.44%

3.86

0.7979

Hiscox Usa

18.89%

1.11%

3.37

0.9403

Liberty Mutual

12.22%

0.00%

4.24

0.5726

Biberk Business Insurance

2.78%

0.00%

4.48

0.8000

AmTrust Financial

2.22%

0.00%

4.56

0.5714

Pie Insurance

1.11%

0.00%

3.67

0.7500

EMPLOYERS

0.00%

0.00%

6.00

1.0000

Average recommended rank covers rank-eligible recommendations only.

Pie Insurance's 1.11% top-three rate places it ninth among ten tracked brands, ahead of only EMPLOYERS. The brand's zero rank-one rate means it has not achieved first-position recommendation credit in any qualified observation. Its average recommended rank of 3.67 is higher than the category leaders but lower than Liberty Mutual, Biberk Business Insurance, and AmTrust Financial, reflecting that when Pie Insurance does receive placement credit, it tends to appear in third position rather than lower.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What is the best commercial insurance?" Result: Pie Insurance did not appear in the response. The Hartford, Travelers, and Chubb received recommendation placements.

Google AI Overviews / Brand Recommendation Prompt: "commercial insurance companies" Result: Pie Insurance received a valid recommendation and top-three placement. The brand appeared alongside larger carriers in the recommendation set.

Perplexity / Brand Recommendation Prompt: "Who offers the best commercial insurance?" Result: Pie Insurance did not appear in the response. The Hartford, Travelers, and Nationwide received recommendation placements.

Google AI Mode / Brand Recommendation Prompt: "What are the biggest commercial insurance companies?" Result: Pie Insurance received a valid recommendation. The brand appeared in the response alongside The Hartford and other carriers.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What are the five phases of the recommended AI visibility improvement plan for Pie Insurance?
  • Which evidence gaps would the recommendation readiness phase prioritize?

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Pie Insurance appears, every prompt where competitors appear instead, and the specific platforms driving each outcome.

Phase 2: Recommendation Readiness Plan Identify the evidence gaps that prevent Pie Insurance from appearing on ChatGPT and Perplexity, and prioritize the content and citation assets needed to close them.

Phase 3: Owned Answer Layer Buildout Develop owned pages that directly address the discovery and evaluation prompts where Pie Insurance is currently absent, structured for AI retrieval and attribution.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems draw from when forming recommendations, focusing on the comparison and review contexts where Pie Insurance is underrepresented.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, and rank-one rate by platform and prompt cluster to measure progress against the October 2026 baseline.

Why This Matters

Questions This Section Answers

  • Why is Pie Insurance's absence from ChatGPT and Perplexity a problem for buyer discovery?
  • What specific layers need correction to extend Pie Insurance's favorable conversion pattern?

AI presence alone is not enough. Pie Insurance appears in a small number of qualified observations, but its near-total absence from ChatGPT and Perplexity means the brand is not competing for recommendation slots in nearly one-third of the category's AI discovery surface. When buyers ask AI systems for commercial insurance recommendations, Pie Insurance is not part of the answer on the platforms where those questions are most frequently asked.

The next move is targeted correction of the prompt, page, and citation layers. Pie Insurance needs to become retrievable on the platforms where it is currently invisible, and it needs owned and third-party sources that AI systems can cite when forming recommendations. The brand's conversion pattern suggests that when it does appear, AI systems position it favorably. The challenge is extending that appearance to the platforms and prompts that drive category recommendations.

Core Metrics

Metric

Value

Mentions

4

Valid recommendations

3

Top 3 recommendation count

2

Rank #1 recommendation count

0

Average recommended rank

3.67

Positive mentions

3

Neutral mentions

1

Negative mentions

0

Raw mention presence rate

2.22%

Valid recommendation coverage

1.67%

Top 3 recommendation rate

1.11%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.7500

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

Pie Insurance's sentiment score is 0.7500, calculated from 3 positive mentions, 1 neutral mention, and 0 negative mentions across 4 total mentions.

This score reflects framing quality, not customer sentiment. A positive mention means the AI system framed Pie Insurance favorably in context. A neutral mention means the brand appeared as a factual reference without recommendation framing. A negative mention would indicate cautionary or unfavorable framing.

Unclassified mention counts are misleading because they treat all appearances as equivalent. A positive recommendation, a neutral reference, and a competitor-displaced mention are not the same signal. Pie Insurance's 4 mentions include 3 positive recommendations and 1 neutral reference, which is a favorable framing pattern. However, the sample size is too small to establish a durable sentiment trend.

Share of voice is a diagnostic metric, not a business KPI. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and Pie Insurance's current sentiment profile suggests that when the brand appears, it is framed positively. The challenge is increasing the frequency of appearance, not correcting negative framing.

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

1

0

1

0

0.0000

Present as context, not recommendation

Google AI Mode

1

1

0

0

1.0000

Positive, but sample too small

Google AI Overviews

2

2

0

0

1.0000

Strongest public recommendation signal

Perplexity

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Pie Insurance's AI recommendation visibility in the Workers Compensation Insurance category for October 2026. It is not a client implementation case study.
  2. The reporting window is October 2026. Comparisons reference the July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  4. The benchmark analyzed 180 qualified observations after qualification from an initial collection of 800 prompt-surface observations.
  5. The competitor universe includes ten tracked brands: The Hartford, Travelers, Chubb, Nationwide, Liberty Mutual, Hiscox Usa, Biberk Business Insurance, AmTrust Financial, Pie Insurance, and EMPLOYERS.
  6. One public high-intent cluster was used: Brand Recommendation (C01), covering discovery and consideration of specific insurers. Pricing and comparison clusters had no qualified observations in the public benchmark.
  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 appearance of Pie Insurance in an AI response, regardless of recommendation status.
  9. A valid recommendation is defined as a clear recommendation of Pie Insurance as a suitable option, excluding neutral references, cautionary mentions, or comparison anchors.
  10. The qualified observation count of 180 serves as the public denominator for all brand-level percentages. August 2026 (364 qualified observations) and September 2026 (203) sit between the July 2026 baseline and October 2026 as intermediate samples.
  11. Small observation counts for Pie Insurance (3 valid recommendations) make percentage movements more sensitive to individual query changes than the larger brands in the set.
  12. Source presence is evidence about the information environment; it is not automatically proof that the source caused the recommendation. Movement identified in this report flags areas worth investigating and does not establish cause.

See How AI Is Recommending Your Brand

The benchmark shows where Pie Insurance stands in AI recommendations for Workers Compensation Insurance. A company-level AI visibility audit maps the specific prompts, platforms, and competitor battles that determine whether Pie Insurance appears in buyer shortlists. See exactly where recommendations are formed and what it would take to compete for them.

/ 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