Marathon Petroleum AI Brand Visibility (April, 2026)

ChatGPT Visibility Report

AI Brand Visibility for Marathon Petroleum (marathonpetroleum.com) shows an extremely low level of exposure in AI results, led by petroleum refining and processing with a Visibility Index of 98, an average rank of 1.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to Marathon Petroleum, the average Visibility Index is about 28, with limited LLM confidence at roughly 35% and limited brand discovery around 30%. For the top entity petroleum refining and processing, AI responses show very strong confidence at about 96% and very strong brand match near 100%, indicating strong visibility quality for the strongest touchpoint. In addition, fuel distribution and logistics shows low visibility, combining a Visibility Index of 43 with moderate discovery near 50% and solid confidence near 79%. Overall, the report highlights sizeable gaps in how Marathon Petroleum is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

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 Name: Marathon Petroleum

Website: marathonpetroleum.com

Stock Symbol: MPC

---

About:

Relevant Entities

Petroleum refining and processing Fuel distribution and logistics Renewable energy initiatives Energy market analysis Environmental sustainability practices 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.

Explore Other AI Brand Visibility Reports

---

---

---

---

Contact Us if you own this business or if you would like to report a data issue.