Packaging Corp. of America AI Brand Visibility (December, 2025)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Packaging Corp. of America (packagingcorp.com) points to an extremely low level of exposure in AI results, with custom corrugated containers leading AI exposure on a Visibility Index of 92, an average rank of 6.0, and appearing in around 100% of measured iterations. Across all 5 entities linked to Packaging Corp. of America, the average Visibility Index is about 18, with very limited LLM confidence at roughly 16% and limited brand discovery around 20%. For the top entity custom corrugated containers, AI responses show solid confidence at about 79% and very strong brand match near 86%, indicating strong visibility quality for the strongest touchpoint. Taken together, these results show that Packaging Corp. of America is still early in its AI visibility journey and will benefit from focused initiatives to increase recognition in model responses.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
sustainable packaging solutions	packagingcorp.com	0	0%	0/0 / (0%)	0%	0	0%

custom corrugated containers	packagingcorp.com	6	79%	4/4 / (5%)	100%	100	86%

packaging design services	packagingcorp.com	0	0%	0/0 / (0%)	0%	0	0%

industrial shipping supplies	packagingcorp.com	0	0%	0/0 / (0%)	0%	0	0%

flexible plastic packaging	packagingcorp.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Packaging Corp. of America

Website: packagingcorp.com

Stock Symbol: PKG

About:

Packaging Corp. of America delivers quality containerboard solutions, supporting businesses with sustainable packaging products that meet diverse needs and drive reliable supply chain performance nationwide.

AI Brand Visibility Targets

Relevant Entities

Sustainable packaging solutions
Custom corrugated containers
Packaging design services
Industrial shipping supplies
Flexible plastic packaging

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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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