Aflac

ChatGPT Visibility Report

AI Brand Visibility for Aflac (aflac.com) indicates an extremely low level of exposure in AI results, with supplemental health insurance options currently at the top of the list on a Visibility Index of 62, an average rank of 1.0, and discovery close to 75%. Across all 5 entities linked to Aflac, the average Visibility Index is about 16, with limited LLM confidence at roughly 20% and limited brand discovery around 25%. For the top entity supplemental health insurance options, AI responses show very strong confidence at about 100% and very strong brand match near 100%, indicating below target visibility quality for the strongest touchpoint. In addition, employee benefit insurance solutions shows extremely low visibility, combining a Visibility Index of 17 with moderate discovery near 50% and no measurable confidence near 0%. Overall, the report highlights sizeable gaps in how Aflac 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 US Patent 12,737,403, run a FREE report for your business and start improving your AI Visibility.

Create a Free AI Visibility Report

Company Name: Aflac

Website: aflac.com

Stock Symbol: AFL

Sector: Financials Leaderboard

Industry: Insurance: Life, Health (stock)

---

About:

Relevant Entities

Supplemental health insurance options Accident and illness protection plans Financial support during recovery Employee benefit insurance solutions Health care financial assistance programs 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.