American Family Insurance Group AI Brand Visibility (December, 2025)

ChatGPT Visibility Report

AI Brand Visibility for American Family Insurance Group (amfam.com) shows a low but measurable level of exposure in AI results, led by personal property insurance coverage with a Visibility Index of 89, an average rank of 9.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to American Family Insurance Group, the average Visibility Index is about 43, with moderate LLM confidence at roughly 41% and moderate brand discovery around 50%. For the top entity personal property insurance coverage, AI responses show solid confidence at about 71% and very strong brand match near 100%, indicating above average visibility quality for the strongest touchpoint. In addition, auto insurance policy discounts shows above average visibility, combining a Visibility Index of 86 with very strong discovery near 100% and solid confidence near 60%. In addition, homeowners' comprehensive protection plans shows low visibility, combining a Visibility Index of 40 with moderate discovery near 50% and solid confidence near 72%. Overall, the report highlights sizeable gaps in how American Family Insurance Group 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: American Family Insurance Group

Website: amfam.com

---

About:

Relevant Entities

Personal property insurance coverage Life and health insurance options Auto insurance policy discounts Homeowners' comprehensive protection plans Business liability risk management 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.