Amica Mutual Insurance

ChatGPT Visibility Report

AI Brand Visibility for Amica Mutual Insurance (amica.com) indicates a low but measurable level of exposure in AI results, with comprehensive auto insurance coverage currently at the top of the list on a Visibility Index of 78, an average rank of 14.0, and discovery close to 100%. Across all 5 entities linked to Amica Mutual Insurance, the average Visibility Index is about 45, with moderate LLM confidence at roughly 42% and solid brand discovery around 65%. For the top entity comprehensive auto insurance coverage, AI responses show limited confidence at about 37% and very strong brand match near 100%, indicating above average visibility quality for the strongest touchpoint. Homeowners liability protection options also contributes to the brand’s footprint, with a Visibility Index of 51, solid discovery close to 75% and solid confidence around 68%. Another key entity, affordable premium rates available, holds a below target Visibility Index of 50 with solid discovery (about 75% of responses) and solid confidence near 63%. Overall, the report highlights sizeable gaps in how Amica Mutual Insurance is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

RankLens is one of the most accurate ways to measure AI Brand Visibility in large language models (LLMs). Backed by academic studies and patent-pending mathematical foundations, run a FREE report for your business and start improving your AI Visibility.

Create a Free AI Visibility Report

Company Name: Amica Mutual Insurance

Website: amica.com

Sector: Financials Leaderboard

Industry: Insurance: Property and Casualty (Mutual)

---

About:

Relevant Entities

Comprehensive auto insurance coverage Homeowners liability protection options Personalized customer service experience Affordable premium rates available Flexible policy discount opportunities See More Entities

Edit & Schedule Reports

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.

Explore Other AI Brand Visibility Reports

---

---

---

---

Contact Us if you own this business or if you would like to report a data issue.