How AI Search Is Recommending Car Insurance: Monthly Trends

Executive Summary

Mercury Insurance now leads AI-driven car insurance recommendations with 25.1% valid recommendation coverage in September 2026, a 3.2-point edge over Root Insurance at 21.9% and 6.1 points over Mile Auto at 19.0%. This marks a leadership shift from August, when The General held the top spot at 25.9% but registered no valid recommendation coverage in September, a 25.9-point drop tied to a measurement identity change for the brand.

The strongest upward mover from the May 2026 baseline is Mercury Insurance, climbing 23.0 points from 2.1% to 25.1% in September, including an 11.1% top-three rate and a 3.9% rank-one rate. Mile Auto posted the sharpest prior-to-current gain, up 7.9 points from 11.1% in August to 19.0% in September, a significant move that follows a pullback the prior month.

The September benchmark shows most tracked brands posting higher valid recommendation coverage than in the May baseline, interrupted by one measurement note: The General® appears as a newly tracked brand identity at 5.0% coverage in September, while The General records 0.0% current coverage. The analysis treats these as distinct tracked entities in the current month. Outside that transition, five brands registered valid recommendation coverage above 7.9% in September, up from a baseline where only The General (8.6%) and Mercury Insurance (2.1%) had any meaningful presence.

Each monthly run begins with 800 prompt-surface observations (279 unique questions in September, 700 in August, 691 in July) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 768 were relevant and 32 were irrelevant in September. The public metrics use the 279 qualified observations in September that survive both qualification stages, compared with 324 in August and 326 in July.

Key Findings

Benchmark Context

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

July 2026 represented the instrument transition to a broader collection design with 800 prompts and 326 qualified observations, and introduced Google AI Mode as the sixth qualified surface. September's eligibility stage reserved more prompts than prior months, yielding 279 qualified observations from 768 relevant prompts, a different funnel shape than July and August.

Benchmark-Level Metrics

The September funnel reserved 489 prompts at the eligibility stage, compared with 165 in August and 167 in July, which is why qualified observations fell to 279 even as relevant prompts rose to 768.

AI Recommendation Trend

A New Leader Emerges as the Former Leader Splits Into Two Tracked Identities

September places Mercury Insurance at the top with 25.1% coverage, ahead of Root Insurance at 21.9%, Mile Auto at 19.0%, and Direct Auto Insurance at 18.3%. The General series records no current coverage following a measurement identity split that introduced The General® as a separate tracked brand at 5.0%. The former leader's split means the current table reflects two tracked entities where one existed before.

The September movement combines one significant riser (Mile Auto, up 7.9 points from August), one significant decliner attributed to the identity change (The General), and multiple smaller movements that together reshaped the top of the category. The former leader's series split means the current table reflects two tracked entities where one existed before.

What Changed This Month

Mercury Insurance: Category Leader After Consistent Gains

Mercury Insurance reached 25.1% valid recommendation coverage in September, up 3.8 points from 21.3% in August and 23.0 points from its 2.1% May baseline. The brand's top-three rate reached 11.1% in September, and its rank-one rate reached 3.9% with 11 rank-one placements out of 279 qualified observations.

Mercury's raw mention presence was 47.7% in September, with the brand appearing in 133 of 279 observations. Average recommended rank stood at 2.93 in September, compared with 2.0 in the May baseline, indicating that while Mercury is recommended broadly, it appears somewhat lower in recommendation lists than at the start of the tracking period.

Mercury leads the category in mention presence but converts to rank-one placements at a modest 3.9% rate, suggesting broad visibility rather than first-choice dominance.

Highest-priority diagnostic: Which prompt categories produce Mercury's top-three recommendations, and whether the rank-one rate of 3.9% is concentrated in a specific surface family or spread across the benchmark?

Mile Auto: Sharpest Prior-to-Current Gain

Mile Auto rose 7.9 points from 11.1% in August to 19.0% in September, a significant move that reverses its August pullback. The brand is up 19.0 points from its 0.0% May baseline. Valid recommendation count rose from 36 in August to 53 in September.

Presence strengthened from 15.7% in August to 22.2% in September, with the brand appearing in 62 of 279 observations versus 51 of 324. Rank-one rate improved to 4.3% in September with 12 rank-one placements, and top-three rate doubled to 11.1% from 5.3% in August.

Mile Auto is winning both more placements and higher positions, with coverage and rank-one performance both improving relative to August.

Highest-priority diagnostic: Which surfaces and prompt phrasings drove the September jump, and whether the improved rank-one rate signals a shift in which competitor Mile Auto displaces when recommended first.

The General Identity Split: Former Leader Reclassified

The General recorded 0.0% valid recommendation coverage in September, down 25.9 points from 25.9% in August, while a new tracked identity The General® registered 5.0% coverage with 14 valid recommendations out of 279 observations. The General® appeared in 38 observations at 13.6% raw mention presence.

The General's baseline comparison of 8.6% in May reflects the former single-entity tracking. The General® has no baseline because it was not separately tracked until September. The stark prior-to-current decline for The General is a measurement identity change rather than a loss of recommendation credit.

The practical read is that The General's total September presence is split across two tracked identities. The General® at 5.0% coverage plus The General at 0.0% does not equal the brand's prior single-entity coverage of 25.9%, indicating the brand's September recommendation footprint is materially smaller regardless of how the identity split is resolved.

Highest-priority diagnostic: How total recommendation credit for The General brand across both identities compares with August, and which prompt types the brand continues to win versus those captured by other leaders.

Direct Auto Insurance: Notable Pullback Within the Top Cluster

Direct Auto Insurance eased 4.5 points from 22.8% in August to 18.3% in September, the sharpest decline among brands with continuous tracking. The brand remains 18.3 points above its 0.0% May baseline. Valid recommendation count fell from 74 in August to 51 in September.

Presence rose from 36.7% in August to 41.9% in September, yet valid recommendation coverage fell, indicating a conversion gap. The brand's rank-one rate dropped to 4.7% from 7.1% in August, with 13 rank-one placements in September versus 23 in August.

Direct Auto remains in the top cluster, but its September data shows a decoupling between presence and recommendation; the brand appears often but converts to recommendation at a lower rate than in August.

Highest-priority diagnostic: Which competitor captured the top-three placements Direct Auto lost between August and September, and whether the decline is concentrated in specific prompt types.

Clearcover: Strongest Sustained Multi-Month Rise

Clearcover reached 10.8% valid recommendation coverage in September, up 4.9 points from 5.9% in August, its third consecutive month of gains. The brand is up 10.8 points from its 0.0% May baseline, a significant rise with a largest single-month move of 5.8 points between May and July.

Presence rose to 14.0% raw mention presence in September from 9.3% in August, with the brand appearing in 39 of 279 observations. Top-three rate improved to 4.7% from 3.1% in August, and rank-one rate reached 1.1% with 3 placements.

Clearcover's sustained three-month streak distinguishes it from other risers that have shown more volatility, with gains compounding across each measurement period rather than appearing as a single-month spike.

Highest-priority diagnostic: Whether Clearcover's gains are concentrated in Google AI Mode or spread across multiple surfaces.

Buyer-Intent Interpretation

The September qualified observations fell almost entirely into the Brand Recommendation cluster, with all 279 observations classified there across all ten tracked entities. The comparison and pricing clusters registered no qualified observations in the current benchmark, consistent with July and August.

The public benchmark cannot yet answer price-sensitive or head-to-head comparison questions. The current evidence shows which brands AI systems recommend in general discovery and consideration prompts, but not how those systems weigh cost, coverage value, or comparative trade-offs. Brands that win on price or feature differentiation are not yet visible in this benchmark's buyer-intent mix.

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.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Movement in this benchmark is directional, not causal. A brand's coverage change identifies where attention is warranted, not why the change occurred.
• The qualified denominator (279 observations) differs from the raw collection (800 prompts). Brand percentages are calculated within the qualified set only.
• The General identity split means September compares two tracked entities against one baseline entity for that brand; The General® and The General should be read together for the brand's total footprint.
• Small-count brands (Branch Insurance, Elephant Insurance) carry higher measurement uncertainty; their movements should be interpreted with care.
• The July instrument change expanded the collection universe and added a sixth surface family; baseline-to-current comparisons reflect this broader measurement context.

Next Step

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

Beneath the aggregate coverage percentage sit specific questions: which high-intent prompts does a brand win, which competitor takes the recommendation when a brand loses, what attributes do AI systems associate with each option, and which external sources shape those answers? The public benchmark measures the outcome, not the mechanism.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That is the step from knowing where a brand stands to knowing what to do about it.

Request an AI visibility audit