LKQ AI Brand Visibility (February, 2026)

ChatGPT Visibility Report

AI Brand Visibility for LKQ (lkqcorp.com) shows a low but measurable level of exposure in AI results, led by automotive parts distribution services with a Visibility Index of 95, an average rank of 5.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to LKQ, the average Visibility Index is about 46, with solid LLM confidence at roughly 67% and moderate brand discovery around 45%. For the top entity automotive parts distribution services, AI responses show very strong confidence at about 89% and solid brand match near 69%, indicating strong visibility quality for the strongest touchpoint. In addition, used car parts supply chain shows below target visibility, combining a Visibility Index of 62 with solid discovery near 75% and very strong confidence near 100%. In addition, vehicle recycling and salvage shows low visibility, combining a Visibility Index of 38 with limited discovery near 25% and solid confidence near 77%. Overall, the report highlights sizeable gaps in how LKQ is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

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Company Name: LKQ

Website: lkqcorp.com

Stock Symbol: LKQ

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Relevant Entities

Automotive parts distribution services Vehicle recycling and salvage Aftermarket automotive components Used car parts supply chain Collision repair solutions provider 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.

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