How AI Search Is Recommending Professional Liability Insurance: Monthly Trends

Executive Summary

The Hartford remains the category leader in October 2026 at 73.0% valid recommendation coverage, holding a 9.9 point lead over Next Insurance at 63.1%. The gap has widened from the 8.8 point separation recorded in September, as The Hartford recovered 6.3 points month over month while Next Insurance added 5.2 points. Both moves were substantial, but The Hartford's gain outpaced the category's other large brands and restored most of the ground it lost in September.

The strongest riser on the baseline view is Hiscox Usa, which entered the tracking universe in September and now sits at 42.4% coverage, up 42.4 points from its July baseline of 0.0%. Biberk Business Insurance follows the same pattern, reaching 22.6% coverage from a July baseline of 0.0%, a rise of 22.6 points and its second consecutive month of measured improvement. Next Insurance posted the largest month-over-month gain among established brands, up 5.2 points from September's 57.9%, though it remains down 7.4 points from its July baseline of 70.5%.

The sharpest decliner against baseline among continuously tracked brands is Progressive Commercial, at 38.0% coverage versus 47.2% in July, a drop of 9.2 points. The Hartford is down 4.2 points from its July baseline of 77.2%, and Thimble is down 4.9 points from 40.5% to 35.6%. The October result is a partial recovery month for the category: the two September leaders that lost ground have both moved back up, and the previously empty naming slots remain occupied by Hiscox Usa and Biberk Business Insurance.

Each monthly benchmark run begins with 800 prompt-surface observations across the defined AI/search surface universe (450 unique questions in July, 533 in October). All 800 prompts mentioned a tracked brand or competitor; 519 were relevant and 281 were irrelevant in July, against 492 relevant and 308 irrelevant in October. The public metrics use the 491 qualified observations from July and the 474 from October that survive both qualification stages. August produced 493 qualified observations and September 466.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Where did AI platforms quote the same company at different monthly prices?
• Which pricing conflicts came from platforms citing the same source page?

Five critical or high-severity factual inconsistencies were detected across the AI platform set this month, spanning five AI platforms (ChatGPT, Copilot, Gemini, AI Mode, and AI Overviews) and five tracked companies. All five involve pricing claims in which the same company is quoted at materially different monthly figures depending on which platform answered, plus one factual ranking conflict. The conflicts below are limited to high-confidence findings.

The Hartford

Four separate high-severity pricing inconsistencies involved The Hartford, the most of any tracked company, spanning Copilot, AI Mode, Gemini, and ChatGPT.

When asked "Who has the cheapest liability business insurance?", Copilot stated that The Hartford averages around $102/month, while AI Mode stated the company averages around $42 to $68 a month for general liability. Both responses cited the same MoneyGeek "Cheap General Liability Insurance" page, and that source was flagged, with an excerpt placing The Hartford first for cheapest general liability insurance at $102 a month. Responses differed on which platform reflected the cited source.

When asked "Which company has the cheapest commercial insurance?", Gemini stated roughly $45/mo average for professional liability while Copilot stated around $109/mo. Gemini drew on Logrock, MoneyGeek, and Insureon pages; Copilot drew on BizInsuranceCompare and two MoneyGeek pages. One MoneyGeek page was flagged for containing both figures in the same source, with one excerpt naming The Hartford at $45 per month for professional liability and another noting an average of $109 a month across six coverage types.

When asked "Who offers the cheapest general liability insurance?", Gemini stated average base rates starting around $24 to $30 a month while ChatGPT stated averaging about $102/month across its sample. Gemini cited a single MoneyGeek page; ChatGPT cited MoneyGeek, Thimble, and Hiscox cost pages. The MoneyGeek source was flagged for the $102/mo excerpt.

When asked "What is the cheapest general liability insurance?", Gemini stated The Hartford often averages around $24 to $35/month for low-risk industries while ChatGPT stated averaging about $102/month in that study. Gemini cited MoneyGeek, Insureon, and Fit Small Business; ChatGPT cited MoneyGeek, Next Insurance, and Thimble. Three sources were flagged, including an Insureon excerpt starting at $22 per month, a Next Insurance excerpt placing many small businesses between $19 and $45 per month, and the MoneyGeek $102/mo excerpt.

Next Insurance

Two high-severity pricing inconsistencies involved Next Insurance, spanning Gemini, Copilot, and ChatGPT.

When asked "What's the cheapest business insurance?", Gemini stated basic policies sometimes start as low as $14 to $19 a month while Copilot stated an average monthly cost of $99. Gemini cited Next Insurance's own cost page plus Fit Small Business and Insureon; Copilot cited BizInsuranceCompare and two MoneyGeek pages. Three sources were flagged, including a MoneyGeek New York page placing The Hartford at $99 a month, a MoneyGeek cheap-business-insurance page stating Next has the lowest average small business insurance cost across all coverage types at $99 per month, and Next Insurance's own page noting some business owners spend as little as $14 per month for a single policy.

When asked "Who has the best rate for commercial insurance?", Copilot stated policies from $12/month while ChatGPT stated an average of around $114/month in a 2026 Florida comparison. Copilot cited BestGuide, Screened, and U.S. News; ChatGPT cited MoneyGeek's Florida page along with Progressive Commercial and Atesa Risk Advisors pages. The MoneyGeek Florida page was flagged for a Next Insurance listing at $114 with the notation "Lowest rates of any provider."

Thimble

Two high-severity pricing inconsistencies involved Thimble, spanning AI Overviews, Copilot, and AI Mode.

When asked "Who is the cheapest business insurance?", AI Overviews stated Thimble policies start as low as $17/month while Copilot stated Thimble costs roughly $105/month equivalent. AI Overviews cited Next Insurance, Thimble, and Hiscox pages; Copilot cited BizInsuranceCompare, MoneyGeek, and Fit Small Business. Two sources were flagged, including a BizInsuranceCompare excerpt describing $17/month equivalent general liability for intermittent operators and a MoneyGeek excerpt listing Thimble at $105.

When asked "What's the cheapest business insurance?", Copilot stated an average monthly cost of $105 while AI Mode stated policies starting around $17 per month. Copilot cited BizInsuranceCompare and two MoneyGeek pages; AI Mode cited Thimble, Hiscox, and Compare Small Business Insurance pages. Three sources were flagged, including Thimble's own "starting at $17" page, a BizInsuranceCompare $17/month excerpt, and two MoneyGeek excerpts placing Thimble at $105 and $107.

biBERK Business Insurance

One high-severity pricing inconsistency involved biBERK Business Insurance, spanning Copilot and AI Mode. When asked "Who has the best rate for commercial insurance?", Copilot stated starting around $27.50/month while AI Mode stated policies as low as $49/month. The two figures are incompatible as a floor and a starting point for the same offering. Copilot cited BestGuide, Screened, and U.S. News; AI Mode cited a Progressive Commercial page and a U.S. News result. The BestGuide source was flagged for the $27.50/month excerpt.

Travelers

One high-severity factual inconsistency involved Travelers, spanning AI Overviews and ChatGPT. When asked "What are the top 10 commercial insurance companies?", AI Overviews stated Travelers is ranked #2 with $24,126,398 in direct premiums written while ChatGPT stated Travelers is ranked #1 with $26.23B in commercial premiums. Both responses cited the same Insurance Information Institute (Triple-I) company rankings page; ChatGPT also cited an AM Best news item on commercial auto rankings. This is the only non-pricing conflict detected this month, and it turns on the same underlying industry ranking source being read differently by two platforms.

Benchmark Context

Questions This Section Answers

• What separates the raw prompt collection from the qualified benchmark observations?
• Why do brand-level recommendation percentages use 474 October observations instead of the 800 raw prompts?

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The qualified observation count moved from 491 in July to 493 in August, 466 in September, and 474 in October. Unique questions climbed steadily from 450 to 533 across the four months. The October total of 474 qualified observations is the second-lowest of the series but a recovery of 8 observations from September.

Benchmark-Level Metrics

The recommendation-shaped answer share reversed its September drop, rising from 39.5% in September to 56.8% in October and now sitting well above the July baseline. The valid recommendation shortlist share, by contrast, rose from 66.7% in September to 77.8% in October while remaining slightly below its 81.5% July level. These are shifts in the output distribution the benchmark observed; the data does not establish why the mix changed.

AI Recommendation Trend

Questions This Section Answers

• Who leads the category in October 2026, and by how wide a margin?
• Which brands rose from a zero baseline while established brands slipped?

The Leader Recovers While the Naming Slots Keep Their New Occupants

No brand moved beyond its normal month-to-month range against its own baseline threshold this month except the two entities whose baselines sit at zero. The Hartford's 6.3 point prior-month gain was the one move flagged as significant from September to October, and it landed as a recovery rather than a breakout. The category-level picture reflects a broad partial recovery from September rather than one brand pulling away.

What Changed This Month

Questions This Section Answers

• Why did The Hartford's coverage gain count as a recovery rather than a breakout?
• What does Next Insurance's coverage drop alongside steady top-three placement suggest about how it qualifies for shortlists?
• Which brands show improving placement quality against declining coverage?

The Hartford

The Hartford's coverage moved from 66.7% in September to 73.0% in October, a gain of 6.3 points that exceeded the brand's normal month-to-month range. Against the July baseline of 77.2%, the brand remains down 4.2 points.

Raw mention presence rose from 93.7% in July to 96.8% in October, a 3.1 point increase. Top-three placement moved from 60.3% to 63.3%, and rank-one placement slipped from 38.1% to 35.2%. In absolute terms, The Hartford earned 346 valid recommendations in October with 167 rank-one placements, out of 474 qualified observations.

The distinction worth noting: The Hartford is now present in more answers than at the baseline and is recovering its recommendation coverage, but it is converting slightly less often into the single highest position. Its leadership is not in question; the composition of that leadership is shifting.

Highest-priority diagnostic: Which prompt categories drove the rank-one decline while top-three placement held, and does the pattern concentrate in a particular surface family?

Next Insurance

Next Insurance recovered from 57.9% coverage in September to 63.1% in October, a gain of 5.2 points that stayed within the brand's normal month-to-month range. Against the July baseline of 70.5%, Next Insurance remains down 7.4 points, one of the larger baseline declines in the category.

Top-three placement moved from 48.5% in July to 50.0% in October, and rank-one placement from 18.7% to 19.2%. Raw mention presence sat at 79.3% versus 79.8% in July, essentially flat. Next Insurance earned 299 valid recommendations in October with 91 rank-one placements.

The notable feature is that Next Insurance's top-three and rank-one rates are both marginally above baseline while its coverage sits below baseline. That combination suggests the gap is about how often the brand qualifies for a recommendation shortlist at all, not about how it performs once shortlisted.

Highest-priority diagnostic: Which prompt topics stopped producing valid recommendation placements for Next Insurance between July and October while its top-three conversion held?

Progressive Commercial

Progressive Commercial sits at 38.0% coverage in October, down 9.2 points from the July baseline of 47.2%, the sharpest baseline decline among continuously tracked brands. The prior-to-current move was positive: 3.7 points up from September's 34.3%.

Top-three placement sits at 16.2% versus 16.9% in July, and rank-one placement at 3.8% versus 3.5%. Raw mention presence rose from 60.5% to 62.0%. Net sentiment slipped from 0.8 to 0.6 across the series. Progressive Commercial earned 180 valid recommendations in October with 18 rank-one placements.

The distinction is the same divergence seen in September, now partially unwound: presence is rising while coverage remains well below baseline, and the brand is still converting a small share of its mentions into top placements.

Highest-priority diagnostic: Which prompt topics produce Progressive Commercial mentions that never reach a valid recommendation shortlist, and which brands occupy those shortlists instead?

Hiscox Usa and Biberk Business Insurance

Hiscox Usa reached 42.4% coverage in October, up 3.6 points from September's 38.8% and 42.4 points from a July baseline of 0.0%. Biberk Business Insurance reached 22.6% coverage, up 0.3 points from September's 22.3% and 22.6 points from baseline. Both entities have now registered two consecutive months of measured improvement.

Hiscox Usa's top-three rate is 26.4% and its rank-one rate 2.7%, with 201 valid recommendations in October. Biberk Business Insurance's top-three rate is 9.7% and its rank-one rate 0.4%, with 107 valid recommendations. Both brands show materially lower rank-one rates than their coverage would place them at among established leaders.

The entities previously tracked as Hiscox and biBERK show no coverage in October, and both series are flat at zero for a second consecutive month. The benchmark records this as a continuing naming configuration without asserting what caused it.

Highest-priority diagnostic: Whether the prompt sets now returning Hiscox Usa and Biberk Business Insurance overlap with the prompt sets that returned the shorter names in July and August, and whether placement depth matches once naming variants are reconciled.

Chubb and Travelers

Chubb sits at 31.4% coverage in October, down 3.8 points from the July baseline of 35.2%. Its top-three rate rose from 10.0% to 14.6%, and its rank-one rate moved from 2.6% to 2.9%. Chubb earned 149 valid recommendations in October with 14 rank-one placements.

Travelers sits at 28.7% coverage, down 1.0 point from July's 29.7%, and has now declined for two consecutive months. Its top-three rate rose from 8.3% to 12.7% and its rank-one rate from 0.8% to 2.7%. Travelers earned 136 valid recommendations in October with 13 rank-one placements.

Both brands show the pattern of improving placement quality against slightly declining coverage. The distinction matters: these are not the category's headline movers, but the direction of their placement metrics runs opposite to the direction of their coverage.

Highest-priority diagnostic: Which prompt categories are producing the improved top-three and rank-one placement for Chubb and Travelers, and whether that placement is concentrated in a subset of surfaces.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters could the qualified benchmark actually measure in October 2026?
• What do the empty Pricing & Value and Multi-Brand Comparison clusters mean for brand-level price and comparison insights?

In October 2026, all 474 qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters were empty, meaning the public benchmark cannot yet answer how AI systems position brands on price or in direct comparison. The recommendation-shaped answer share rose to 56.8% and the response-type distribution shows 102 pricing-analysis answers and 17 comparison-analysis answers present in the raw collection, but those did not survive into the qualified set for brand-level metrics. The commercial questions buyers most often ask about price and head-to-head comparison therefore remain outside what these percentages can speak to.

The table below summarizes current standing and the highest-priority diagnostic for each tracked brand.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation. Where the same source page is cited by two platforms that reach different conclusions, as happened repeatedly in this month's pricing conflicts, that is a signal about answer construction rather than about the source itself.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: Embroker's 0.6% coverage is drawn from 3 valid recommendations out of 474 qualified observations, and CNA's 6.3% from 30. These are valid signals for a niche category but should be read alongside the absolute counts.
• Naming variance persisted: Hiscox and biBERK show no coverage in October for a second consecutive month, while Hiscox Usa and Biberk Business Insurance each recorded a second month of measured improvement. The benchmark records the configuration without establishing its cause.
• Qualified denominator vs. raw collection: all percentage metrics use the 474 qualified observations in October, not the 800 raw prompt-surface observations. This excludes irrelevant and reserved prompts.
• Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.
• High-severity pricing conflicts appeared across five companies this month. Where platforms cite the same source page and report different figures, the benchmark records the inconsistency as an output-level observation.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that matter: which high-intent prompts is a brand winning, which competitor takes the recommendation when it loses, what attributes AI systems associate with each option, and which external sources shape those answers. This month's pricing conflicts sharpen the second half of that question, because several platforms reached different figures while citing the same page.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It can clarify why coverage moved unevenly across the category, whether the Hiscox and biBERK naming configuration reflects real visibility or only labeling, and where conflicting price answers originate.

Request an AI visibility audit