Beazer Homes USA AI Brand Visibility (February, 2026)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Beazer Homes USA (beazer.com) shows an extremely low level of exposure in AI results, led by new residential developments with a Visibility Index of 74, an average rank of 16.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to Beazer Homes USA, the average Visibility Index is about 26, with limited LLM confidence at roughly 21% and limited brand discovery around 35%. For the top entity new residential developments, AI responses show limited confidence at about 25% and very strong brand match near 100%, indicating above average visibility quality for the strongest touchpoint. Another key entity, customizable floor plan options, holds a below target Visibility Index of 55 with solid discovery (about 75% of responses) and solid confidence near 78%. In summary, Beazer Homes USA has limited current reach inside AI systems, making this a baseline from which to track gains as optimization work is rolled out.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
energy-efficient home construction	beazer.com	0	0%	0/0 / (0%)	0%	0	0%

customizable floor plan options	beazer.com	7	78%	3/4 / (3.75%)	75%	13	100%

sustainable building practices	beazer.com	0	0%	0/0 / (0%)	0%	0	0%

first-time homebuyer programs	beazer.com	0	0%	0/0 / (0%)	0%	0	0%

new residential developments	beazer.com	16	25%	4/4 / (5%)	100%	100	100%

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Company Overview

Company Name: Beazer Homes USA

Website: beazer.com

Stock Symbol: BZH

About:

Beazer Homes USA constructs quality new homes across sought-after communities, focusing on energy efficiency, innovative designs, and personalized options to support comfortable modern living.

AI Brand Visibility Targets

Relevant Entities

Energy-efficient home construction
Customizable floor plan options
Sustainable building practices
First-time homebuyer programs
New residential developments

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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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