Auto-Owners Insurance AI Brand Visibility (February, 2026)

ChatGPT Visibility Report

AI Brand Visibility for Auto-Owners Insurance (auto-owners.com) points to a low but measurable level of exposure in AI results, with comprehensive insurance coverage options leading AI exposure on a Visibility Index of 79, an average rank of 15.0, and appearing in around 100% of measured iterations. Across all 5 entities linked to Auto-Owners Insurance, the average Visibility Index is about 32, with limited LLM confidence at roughly 23% and limited brand discovery around 35%. For the top entity comprehensive insurance coverage options, AI responses show limited confidence at about 39% and very strong brand match near 100%, indicating above average visibility quality for the strongest touchpoint. Another key entity, local agent support services, holds a below target Visibility Index of 52 with limited discovery (about 25% of responses) and limited confidence near 33%. In addition, affordable premiums and discounts shows low visibility, combining a Visibility Index of 30 with moderate discovery near 50% and moderate confidence near 41%. Overall, the report highlights sizeable gaps in how Auto-Owners Insurance is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

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Company Name: Auto-Owners Insurance

Website: auto-owners.com

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Relevant Entities

Comprehensive insurance coverage options Customized financial protection solutions Local agent support services Reliable risk management strategies Affordable premiums and discounts See More Entities

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RankLens measures how visible a brand is inside large language models (LLMs). It runs controlled sampling of AI responses, tracks where and how often your brand is mentioned, and normalizes the results into a Visibility Index so you can benchmark and track AI brand presence over time. RankLens is based on Entity-Conditioned Probing + Resampling principles.

Rank (Avg)

Average ranking position of the entity across all sampling iterations (lower is better).

LLM Confidence

The normalized confidence score the LLM reports for its answers including your brand.

Brand Appearance (SoV)

How many times the brand or website appears in the sampled responses out of total iterations. Share of Voice (SoV): % of all responses the AI assigned to a brand compared to all other brands.

Brand Discovery

The probability (as a percentage) that the brand appears in an LLM response for the tested entities.

Brand Target

A normalized measure based on confidence interval width showing how tightly focused the LLM responses are on the brand.

Brand Match

Accuracy of matching the results to the intended brand name or website.

Visibility Index

An overall score out of 100 combining probability, confidence, and targeting to summarize AI brand visibility.

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