Paccar AI Brand Visibility (February, 2026)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Paccar (paccar.com) shows an extremely low level of exposure in AI results, led by heavy-duty truck manufacturing 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 Paccar, the average Visibility Index is about 23, with limited LLM confidence at roughly 23% and limited brand discovery around 25%. For the top entity heavy-duty truck manufacturing, AI responses show solid confidence at about 71% and limited brand match near 25%, indicating above average visibility quality for the strongest touchpoint. Another key entity, commercial vehicle production, holds a extremely low Visibility Index of 28 with limited discovery (about 25% of responses) and moderate confidence near 46%. In summary, Paccar 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
heavy-duty truck manufacturing	paccar.com	9	71%	4/4 / (5%)	100%	100	25%

commercial vehicle production	paccar.com	13	46%	1/4 / (1.25%)	25%	13	16%

engine design and development	paccar.com	0	0%	0/0 / (0%)	0%	0	0%

supply chain management solutions	paccar.com	0	0%	0/0 / (0%)	0%	0	0%

innovative transport technologies	paccar.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Paccar

Website: paccar.com

Stock Symbol: PCAR

About:

Paccar manufactures reliable, advanced commercial vehicles for global markets. The company delivers innovative transportation solutions that support efficiency and productivity across various industries worldwide.

AI Brand Visibility Targets

Relevant Entities

Heavy-duty truck manufacturing
Commercial vehicle production
Engine design and development
Supply chain management solutions
Innovative transport technologies

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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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