Dycom Industries AI Brand Visibility (December, 2025)

ChatGPT Visibility Report

AI Brand Visibility for Dycom Industries (dycomind.com) indicates a low but measurable level of exposure in AI results, with wireless network construction solutions currently at the top of the list on a Visibility Index of 88, an average rank of 8.0, and discovery close to 100%. Across all 5 entities linked to Dycom Industries, the average Visibility Index is about 34, with limited LLM confidence at roughly 24% and moderate brand discovery around 40%. For the top entity wireless network construction solutions, AI responses show solid confidence at about 67% and very strong brand match near 100%, indicating above average visibility quality for the strongest touchpoint. Another key entity, telecommunications infrastructure services, holds a above average Visibility Index of 83 with very strong discovery (about 100% of responses) and moderate confidence near 52%. Overall, the report highlights sizeable gaps in how Dycom Industries 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: Dycom Industries

Website: dycomind.com

Stock Symbol: DY

---

About:

Relevant Entities

Engineering and design support Utility service provider partnerships Fiber optic installation techniques Wireless network construction solutions Telecommunications infrastructure services 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.