Halliburton AI Brand Visibility (December, 2025)

ChatGPT Visibility Report

AI Brand Visibility for Halliburton (halliburton.com) shows a developing but still below-target level of exposure in AI results, led by oil and gas exploration services with a Visibility Index of 98, an average rank of 2.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to Halliburton, the average Visibility Index is about 63, with solid LLM confidence at roughly 77% and solid brand discovery around 70%. For the top entity oil and gas exploration services, AI responses show very strong confidence at about 96% and very strong brand match near 100%, indicating strong visibility quality for the strongest touchpoint. Offshore drilling support equipment also contributes to the brand’s footprint, with a Visibility Index of 95, very strong discovery close to 100% and very strong confidence around 88%. In addition, hydraulic fracturing technology solutions shows below target visibility, combining a Visibility Index of 62 with solid discovery near 75% and very strong confidence near 100%. In summary, the patterns here show how Halliburton is interpreted by large language models and provide a roadmap for where to deepen or rebalance AI exposure.

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: Halliburton

Website: halliburton.com

Stock Symbol: HAL

---

About:

Relevant Entities

Oil and gas exploration services Energy sector project management Hydraulic fracturing technology solutions Reservoir evaluation and optimization Offshore drilling support equipment 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.