Archer Daniels Midland AI Brand Visibility (February, 2026)

ChatGPT Visibility Report

AI Brand Visibility for Archer Daniels Midland (adm.com) points to a low but measurable level of exposure in AI results, with agricultural commodities processing services leading AI exposure on a Visibility Index of 62, an average rank of 1.0, and appearing in around 75% of measured iterations. Across all 5 entities linked to Archer Daniels Midland, the average Visibility Index is about 45, with solid LLM confidence at roughly 65% and solid brand discovery around 60%. For the top entity agricultural commodities processing services, AI responses show very strong confidence at about 100% and very strong brand match near 88%, indicating below target visibility quality for the strongest touchpoint. Global grain trading operations also contributes to the brand’s footprint, with a Visibility Index of 62, solid discovery close to 75% and very strong confidence around 100%. Food ingredient supply chain solutions also contributes to the brand’s footprint, with a Visibility Index of 61, solid discovery close to 75% and very strong confidence around 96%. In summary, Archer Daniels Midland has limited current reach inside AI systems, making this a baseline from which to track gains as optimization work is rolled out.

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Company Name: Archer Daniels Midland

Website: adm.com

Stock Symbol: ADM

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Relevant Entities

Agricultural commodities processing services Food ingredient supply chain solutions Sustainable bioenergy production strategies Nutritional product development initiatives Global grain trading operations See More Entities

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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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