Industry Report

Direct-to-Consumer Auto Insurers

Auto insurance companies that sell policies primarily online or by phone, emphasizing price, digital tools, and self-service.

Brands tracked: 43
Brands analyzed: 43
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 323
Total responses: 1,680
Top Brand Overall?
Progressive
96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Progressive
94

Highest score on the LBA metric in this industry.

Authority Leader?
Progressive
94

Highest score on the Authority metric in this industry.

TOM Leader?
Progressive
100

Highest score on the TOM metric in this industry.

Progressive is the default answer in AI responses for Direct-to-Consumer Auto Insurers

Progressive and GEICO together dominate AI responses for Direct-to-Consumer Auto Insurers. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 43 Direct-to-Consumer Auto Insurers brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 323 shared Direct-to-Consumer Auto Insurers prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 323 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →