Johnson & Johnson AI Brand Visibility (April, 2026)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Johnson & Johnson (jnj.com) points to an extremely low level of exposure in AI results, with pharmaceutical research and development leading AI exposure on a Visibility Index of 44, an average rank of 3.0, and appearing in around 50% of measured iterations. Across all 5 entities linked to Johnson & Johnson, the average Visibility Index is about 9, with very limited LLM confidence at roughly 17% and very limited brand discovery around 10%. For the top entity pharmaceutical research and development, AI responses show very strong confidence at about 83% and solid brand match near 77%, indicating low visibility quality for the strongest touchpoint. Overall, the report highlights sizeable gaps in how Johnson & Johnson is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
consumer health products	jnj.com	0	0%	0/0 / (0%)	0%	0	0%

medical device innovation	jnj.com	0	0%	0/0 / (0%)	0%	0	0%

pharmaceutical research and development	jnj.com	3	83%	2/4 / (2.5%)	50%	0	77%

global healthcare solutions	jnj.com	0	0%	0/0 / (0%)	0%	0	0%

wellness and prevention strategies	jnj.com	0	0%	0/0 / (0%)	0%	0	0%

Find AI Brand Visibility for Your Company

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 Overview

Company Name: Johnson & Johnson

Website: jnj.com

Stock Symbol: JNJ

About:

Johnson and Johnson delivers trusted healthcare solutions, advancing well-being with innovative products. The brand prioritizes quality and reliability for families, medical professionals, and global communities.

AI Brand Visibility Targets

Relevant Entities

Consumer health products
Medical device innovation
Pharmaceutical research and development
Global healthcare solutions
Wellness and prevention strategies

See More Entities

Report Information

Report Date

Report Sampling Size

Engine

Brand Match

Location

Language

Edit & Schedule Reports

About RankLens

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.

Metric Definitions

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.

AI AI Visibility