At-Bay AI Market Strategy Report - Cyber Insurance

Answer Capsule

At-Bay holds a modest but positive position in AI-generated cyber insurance recommendations, with 13.20% valid recommendation coverage in September 2026. The company appears in 19.29% of qualified observations but converts only a portion of that presence into actual recommendations, indicating visibility without full recommendation strength. Its clearest win is an exceptionally strong net sentiment score of 0.84, with no negative mentions recorded across the tracked surface universe. The clearest weakness is weak top-three placement at 3.05%, which limits decision-stage impact. The biggest opportunity lies in converting its strong positive framing into higher recommendation placement, particularly on Google AI Overviews where it already shows meaningful traction.

Who This Report Is For

This report is for cyber insurance marketing, brand, and digital strategy leaders who need to understand how AI systems currently recommend At-Bay versus its competitors at the point of buyer consideration.

Report Card

Executive Summary

At-Bay holds a credible but mid-tier position in AI-generated cyber insurance recommendations. The September 2026 benchmark shows At-Bay with 13.20% valid recommendation coverage, placing it fifth among ten tracked brands. Its raw mention presence rate of 19.29% means the company appears in roughly one of every five qualified AI responses, but only about two-thirds of those appearances convert into actual recommendations.

The company recorded 38 total mentions across 197 qualified observations, with 32 positive mentions, 6 neutral mentions, and zero negative mentions. This positive framing profile is among the strongest in the category, exceeded only by Cowbell Cyber's perfect but very small sample. At-Bay's net sentiment score of 0.84 reflects consistently favorable language when the brand does surface.

The strongest platform signal comes from Google AI Overviews, where At-Bay achieved 28.36% valid recommendation coverage and its only rank-one placement. The clearest platform gap is Perplexity, where At-Bay recorded no presence at all across 27 qualified observations. The strongest cluster is the Brand Recommendation class, which accounts for all 197 qualified observations in the September series, though no qualified observations exist yet in pricing or multi-brand comparison clusters.

What At-Bay Is Winning

Questions This Section Answers

• Where does At-Bay show its strongest AI recommendation performance?
• How strong is At-Bay's sentiment profile when AI systems mention the brand?

At-Bay's most defensible strength is its sentiment profile. With 32 positive mentions, 6 neutral mentions, and zero negative mentions, the company holds a net sentiment score of 0.84. When AI systems mention At-Bay, they frame it favorably.

The company also shows meaningful traction on Google AI Overviews. At-Bay achieved 28.36% valid recommendation coverage on that surface, its strongest platform performance by a wide margin. This includes 19 valid recommendations, 6 top-three placements, and its only rank-one recommendation in the entire September series.

At-Bay's average recommended rank of 4.63 is competitive with the mid-tier field and meaningfully better than CNA's 5.53, indicating that when the brand is recommended, it tends to appear in the middle of shortlists rather than at the bottom.

Where At-Bay Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does At-Bay's presence convert weakly into actual recommendations?
• Which platform gap leaves At-Bay absent from AI-generated cyber insurance shortlists?
• How far does At-Bay trail category leaders on top-three placement?

At-Bay's most significant gap is the conversion of presence into recommendation. The company appears in 19.29% of qualified observations but converts only 13.20% into valid recommendations. Several competitors show stronger conversion patterns, including Hiscox Usa, which converts 27.4% presence into 22.3% coverage.

Top-three placement is a second critical gap. At-Bay holds only a 3.05% top-three rate, compared with Chubb's 41.62% and Travelers' 32.99%. Even Coalition, a comparable challenger brand, achieves an 11.17% top-three rate. At-Bay is being recommended, but it is rarely recommended among the first three options where buyer attention concentrates.

Perplexity represents a complete absence. Across 27 qualified observations on that platform, At-Bay recorded zero mentions and zero recommendations. This is a notable gap because Perplexity surfaces Hiscox Usa in 55.6% of observations and Travelers in 88.9%, suggesting the platform is actively recommending cyber insurers but not At-Bay.

Biggest Opportunity

Questions This Section Answers

• What is the highest-leverage move to convert At-Bay's strong sentiment on Google AI Overviews into higher placement?

The clearest opportunity for At-Bay is converting its strong positive framing on Google AI Overviews into higher placement intensity. At-Bay already achieves 28.36% valid recommendation coverage on that surface with a 0.91 sentiment score, yet its top-three rate there is only 8.96%. The brand is being recommended favorably but positioned lower in shortlists. Improving the source evidence that supports rank-one and top-three placement on AI Overviews would directly address the gap between At-Bay's strong sentiment and its modest recommendation prominence.

Competitive Landscape

Questions This Section Answers

• Where does At-Bay rank among tracked cyber insurance brands on AI recommendation coverage and placement?
• Which metrics separate At-Bay from the category leadership tier?

Chubb and Travelers hold dominant recommendation-stage strength in the AI-generated cyber insurance recommendation landscape, tied at 55.84% valid recommendation coverage, with Hiscox Usa and Coalition forming a credible second tier. At-Bay sits in the middle of the tracked field, ahead of AXA XL, CNA, Beazley, and Cowbell Cyber but well behind the leadership tier.

Average recommended rank covers rank-eligible recommendations only.

The table shows At-Bay holding the strongest sentiment score among brands with meaningful presence, but its top-three and rank-one rates trail the leadership tier by a wide margin. The brand is recommended favorably when it appears, yet it appears in shortlists less often and lower than the category leaders.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "cyber insurance for small business" Result: At-Bay appeared in a recommendation shortlist with positive framing, contributing to its 28.36% coverage on this surface.

Perplexity / Brand Recommendation Prompt: "cyber liability insurance carriers" Result: At-Bay recorded no presence across Perplexity observations, while competitors such as Travelers and Hiscox Usa were regularly surfaced.

Google AI Mode / Brand Recommendation Prompt: "What are the best commercial insurance companies?" Result: At-Bay appeared with positive framing but no top-three placement, reflecting its pattern of presence without prominence.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which specific prompts and surfaces produce At-Bay mentions versus recommendations, with particular focus on the Perplexity absence and the AI Overviews presence gap.

Phase 2: Recommendation Readiness Plan Identify the page-level and content gaps that prevent At-Bay from converting its strong positive framing into top-three placement on Google AI Overviews and AI Mode.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent cyber insurance prompts where At-Bay currently appears but is not recommended first.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint that AI systems appear to draw from when recommending cyber insurers, prioritizing sources that currently surface competitors ahead of At-Bay.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track At-Bay's coverage, placement, and sentiment monthly to measure whether recommendation conversion improves and to identify new platform gaps as they emerge.

Why This Matters

AI-generated recommendations are becoming a primary input into buyer shortlists for cyber insurance. At-Bay's strong sentiment profile means that when the brand appears, it is framed favorably, but favorable mentions do not equal recommendations, and recommendations do not equal top placement.

The evidence suggests At-Bay is visible but under-recommended, and recommended but under-positioned. The next move is not broader visibility. It is targeted correction of the prompt, page, and citation layers that determine whether At-Bay appears in the top three when buyers ask AI systems which cyber insurer to choose.

Core Metrics

Sentiment Score

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

For At-Bay, this calculation is (32 x 1 + 6 x 0 + 0 x -1) / 38, producing a net sentiment score of 0.84.

This matters because unclassified mention counts are misleading. A brand with high raw presence but mostly neutral framing is not winning recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and At-Bay's favorable classification is its clearest asset.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of At-Bay's visibility and recommendation patterns in AI-generated cyber insurance recommendations, not a client implementation case study.
2. The reporting window is September 2026, with July 2026 and August 2026 referenced for movement context where available.
3. Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The September series began with 800 prompt-surface observations and produced 197 qualified observations after relevance and qualification stages.
5. The competitor universe includes 10 tracked brands: AIG, At-Bay, AXA XL, Beazley, Chubb, CNA, Coalition, Cowbell Cyber, Hiscox Usa, and Travelers.
6. All 197 qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded in pricing or multi-brand comparison clusters.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of a tracked brand in a qualified AI response, regardless of framing or recommendation status.
9. A valid recommendation is defined as a positive mention in which the brand is actively recommended or shortlisted, not merely referenced or listed.
10. The Hiscox-to-Hiscox Usa label transition in the September series creates a comparability break for that brand and should be read as a combined presence story.
11. Small-count brands, including Cowbell Cyber at 5 valid recommendations and Beazley at 16, require caution in interpreting percentage movement.
12. Limitations: this public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or private and sponsored channels. Metric movement alone does not establish causality.

See How AI Is Recommending Your Brand

The public benchmark shows where At-Bay wins and loses in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and source patterns behind those numbers, and defines the response.