Cyber Insurance: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which cyber insurance brands led valid recommendation coverage in October 2026, and how close was the race?
• Which brands made the largest coverage gains or losses between July and October 2026?

Travelers led the category in valid recommendation coverage in October 2026 at 64.3%, followed by Chubb at 63.1%, a gap of just 1.2 percentage points between the top two brands. The largest coverage increase from the July 2026 baseline was recorded by Hiscox Usa, which rose to 26.8% in October 2026 from 0.0% in July 2026, a move beyond normal month-to-month variation, and AIG, which rose to 27.4% in October 2026 from 14.9% in July 2026, also beyond normal variation. The largest coverage decline came from Hiscox, which fell to 0.0% in October 2026 from 49.1% in July 2026, and At-Bay, which fell to 7.1% in October 2026 from 17.5% in July 2026, both beyond normal month-to-month variation.

The category recorded no significant single-month movement in October 2026. Both significant risers and both significant decliners reflect moves measured across the full July to October 2026 series rather than isolated October shifts. Chubb, the coverage leader through July, August, and September 2026, ceded the top position to Travelers in October 2026, while both brands remain within normal month-to-month variation of their own baselines.

The benchmark began with 800 prompt-surface observations in each month and produced 168 qualified observations in October 2026 after qualification, down from 228 in July 2026. The September 2026 measurement produced 197 qualified observations, and August 2026 produced 139.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families qualified in each month of the series. September 2026 saw 197 qualified observations, and August 2026 saw 139.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Cyber Insurance

Research Scope and Qualification

Questions This Section Answers

• How many prompt-surface observations qualified for the public benchmark, and how did that change from July to October 2026?
• What is the difference between the source observations and the qualified observations used as the public denominator?

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Visibility Market Discovery Methodology

Current Brand Standings

Questions This Section Answers

• How did the tracked cyber insurance brands rank on presence rate, valid recommendation coverage, and top-three rate?
• Which brands combined high coverage with strong sentiment, and where did rank-one rates diverge from coverage?

How to Read the Standings

• Presence rate: share of qualified observations where the brand appears in any capacity.
• Valid recommendation coverage: share of qualified observations where the brand appears in a valid recommendation shortlist.
• Top-three rate: share of observations where the brand appears among the top three recommended options.
• Rank-one rate: share of observations where the brand is the first recommended option.
• Net sentiment: positive mentions minus negative mentions, divided by total brand mentions.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which cyber insurance brands made significant coverage moves since the July 2026 baseline?
• Which brands moved within normal month-to-month variation between September and October 2026?

Several brands showed notable prior-to-current moves from September 2026 to October 2026. AIG rose 7.6 points to 27.4%, Travelers rose 8.5 points to 64.3%, and Chubb rose 7.3 points to 63.1%. Hiscox Usa rose 4.5 points to 26.8%, and AXA XL rose 3.2 points to 14.9%. At-Bay declined 6.1 points to 7.1%, CNA declined 1.0 point to 10.7%, and Coalition declined 0.9 points to 25.0%. These prior-to-current moves each fall within normal month-to-month variation.

Largest Increase: AIG

AIG rose to 27.4% valid recommendation coverage in October 2026 from 14.9% in July 2026, an increase of 12.5 percentage points beyond normal month-to-month variation. The brand has now increased for two consecutive months, moving from 7.2% in August 2026 to 19.8% in September 2026 and then to 27.4% in October 2026. Presence rate rose to 47.0% in October 2026 from 32.5% in July 2026. Top-three rate rose to 8.3% in October 2026 from 3.1% in July 2026, while rank-one rate held near flat at 0.6% in October 2026 from 0.4% in July 2026.

Hiscox Usa also qualified as a significant riser for the series, reaching 26.8% valid recommendation coverage in October 2026 from 0.0% in July 2026, an increase of 26.8 percentage points beyond normal variation. The brand appeared in the qualified series for the first time in September 2026 at 22.3% and rose for a second consecutive month in October 2026. AIG is the largest increase measured within brands that carried coverage at the July 2026 baseline.

Largest Decline: Hiscox

Hiscox fell to 0.0% valid recommendation coverage in October 2026 from 49.1% in July 2026, a decline of 49.1 percentage points beyond normal month-to-month variation. The brand recorded 49.1% in July 2026 and 48.9% in August 2026 before no qualified observations were recorded under that brand name in September 2026 or October 2026.

At-Bay fell to 7.1% valid recommendation coverage in October 2026 from 17.5% in July 2026, a decline of 10.4 percentage points beyond normal month-to-month variation. Top-three rate fell to 1.2% in October 2026 from 4.8% in July 2026. The brand moved from 17.5% in July 2026 to 2.9% in August 2026, recovered to 13.2% in September 2026, then declined to 7.1% in October 2026.

Category Leader: Travelers

Travelers led the category in valid recommendation coverage in October 2026 at 64.3%, up from 60.5% in July 2026. Chubb, which led the category in July, August, and September 2026, held 63.1% in October 2026, up from 62.7% in July 2026. The 1.2-point gap between the two brands places them in a tight cluster at the top of the category. Chubb continued to lead on placement, recording a 48.2% top-three rate and a 32.1% rank-one rate in October 2026, compared with Travelers at 38.1% and 4.8%.

Stable Brands

AXA XL, Beazley, Chubb, CNA, Coalition, Cowbell Cyber, and Travelers moved across the series within ranges the benchmark treats as ordinary month-to-month fluctuation. Coalition held 25.0% valid recommendation coverage in October 2026, unchanged from 25.0% in July 2026.

Recommendation Placement Snapshot

Questions This Section Answers

• How did Chubb and Travelers differ on top-three and rank-one placement despite nearly identical coverage?
• Which brands appear most often in the top three versus as the first recommended option?

Coverage alone does not show how prominently a brand is recommended. Chubb and Travelers sit within 1.2 points of each other on valid recommendation coverage, yet Chubb recorded a 48.2% top-three rate and 32.1% rank-one rate in October 2026, well ahead of Travelers at 38.1% and 4.8%.

Close coverage can still hide different first-position rates, as the top two brands in October 2026 demonstrate.

Buyer-Intent Distribution

Questions This Section Answers

• What buyer-intent classes did the October 2026 qualified observations fall into?
• Does the current public series include pricing or multi-brand comparison queries?

All 168 qualified observations in October 2026 fell into the Brand Recommendation class.

The current public series measures brand-recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Questions This Section Answers

• How did the coverage leader and qualified observation count change across the July to October 2026 measurements?
• Which movement stands out as the largest coverage swing in the series?

Evidence and Source Layer

Questions This Section Answers

• What evidence do benchmark observations retain for each prompt?
• Does a cited source prove it caused a brand recommendation?

The benchmark is built from prompt-level observations that retain 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. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

• This public benchmark does not measure market share.
• It does not measure attributable sales or revenue.
• It does not capture every possible AI response.
• It does not measure organic-search ranking.
• It does not measure social mention volume.
• It does not cover private or sponsored channels.
• A metric movement alone does not establish causality.

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most often in AI platform responses during this measurement period?
• What types of sources dominate the citation profile, and did any tracked brand's own domain appear?

AI platform responses in this measurement period produced 6,336 citations across 1,330 unique domains.

Citations are broadly distributed across the 1,330 unique domains observed, with the top 10 domains accounting for a combined 28.1% share. No tracked brand's own domain appears in the top 10. Consumer finance and comparison sites, including nerdwallet.com, usnews.com, lendingtree.com, and money.com, dominate the citation profile, alongside insurance-specific outlets such as insurance.com and insurancebusinessmag.com and general news and video sources including google.com, youtube.com, finance.yahoo.com, and forbes.com.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how often and how prominently brands appear in AI-generated recommendations across six canonical AI surface families. It provides a neutral, repeatable measure of AI-driven brand discovery.

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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