Occidental Petroleum AI Brand Visibility (December, 2025)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Occidental Petroleum (oxy.com) points to an extremely low level of exposure in AI results, with oil and gas exploration leading AI exposure on a Visibility Index of 95, an average rank of 4.0, and appearing in around 100% of measured iterations. Across all 5 entities linked to Occidental Petroleum, the average Visibility Index is about 19, with very limited LLM confidence at roughly 18% and limited brand discovery around 20%. For the top entity oil and gas exploration, AI responses show very strong confidence at about 88% and very strong brand match near 100%, indicating strong visibility quality for the strongest touchpoint. Taken together, these results show that Occidental Petroleum 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
oil and gas exploration	oxy.com	4	88%	4/4 / (5%)	100%	100	100%

carbon management solutions	oxy.com	0	0%	0/0 / (0%)	0%	0	0%

sustainable energy development	oxy.com	0	0%	0/0 / (0%)	0%	0	0%

environmental impact mitigation	oxy.com	0	0%	0/0 / (0%)	0%	0	0%

energy production technology	oxy.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Occidental Petroleum

Website: oxy.com

Stock Symbol: OXY

About:

Occidental Petroleum delivers reliable energy solutions with a focus on operational excellence, responsible practices, and innovative strategies to drive growth for partners, communities, and shareholders.

AI Brand Visibility Targets

Relevant Entities

Oil and gas exploration
Carbon management solutions
Sustainable energy development
Environmental impact mitigation
Energy production technology

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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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