Industry Report

Independent Insurance Agencies

Brokerage firms and independent agencies that represent multiple personal auto carriers and provide comparative quoting and agent-led advice.

Brands tracked: 45
Brands analyzed: 45
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 335
Total responses: 1,750
Top Brand Overall?
Goosehead Insurance
51/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Progressive
87

Highest score on the LBA metric in this industry.

Authority Leader?
Progressive
38

Highest score on the Authority metric in this industry.

TOM Leader?
HUB International
78

Highest score on the TOM metric in this industry.

Independent Insurance Agencies is a highly fragmented category in AI responses

Even the top-ranked brand (Goosehead Insurance at 51/100) is mentioned inconsistently when users ask AI assistants about Independent Insurance Agencies. Only 2 brands in this category scored above 40. Categories often land here for two reasons: the space is dominated by local or niche players no single AI model has strong training on, or it's a services-heavy category (agencies, consultants) where AI assistants tend not to name specific brands regardless of reputation.

Brand Leaderboard All 45 Independent Insurance Agencies 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 335 shared Independent Insurance Agencies 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 335 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 →