Union Pacific AI Brand Visibility (December, 2025)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Union Pacific (up.com) reflects an extremely low level of exposure in AI results, where industrial rail transport efficiency is the strongest entity with a Visibility Index of 95, typical rank around 4.0, and appearing in roughly 100% of AI replies. Across all 5 entities linked to Union Pacific, the average Visibility Index is about 19, with very limited LLM confidence at roughly 18% and limited brand discovery around 20%. For the top entity industrial rail transport efficiency, AI responses show very strong confidence at about 88% and solid brand match near 74%, indicating strong visibility quality for the strongest touchpoint. In summary, Union Pacific has limited current reach inside AI systems, making this a baseline from which to track gains as optimization work is rolled out.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
freight transportation logistics services	up.com	0	0%	0/0 / (0%)	0%	0	0%

railroad infrastructure maintenance solutions	up.com	0	0%	0/0 / (0%)	0%	0	0%

intermodal shipping and distribution	up.com	0	0%	0/0 / (0%)	0%	0	0%

supply chain optimization strategies	up.com	0	0%	0/0 / (0%)	0%	0	0%

industrial rail transport efficiency	up.com	4	88%	4/4 / (5%)	100%	100	74%

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Company Overview

Company Name: Union Pacific

Website: up.com

Stock Symbol: UNP

About:

Union Pacific delivers reliable freight solutions, connects major markets efficiently, and supports economic growth through advanced logistics expertise across North America for diverse industries.

AI Brand Visibility Targets

Relevant Entities

Freight transportation logistics services
Railroad infrastructure maintenance solutions
Intermodal shipping and distribution
Supply chain optimization strategies
Industrial rail transport efficiency

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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.

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