TJX AI Brand Visibility (February, 2026)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for TJX (tjx.com) points to an extremely low level of exposure in AI results, with off-price merchandise sourcing strategy 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 TJX, the average Visibility Index is about 12, with limited LLM confidence at roughly 20% and very limited brand discovery around 15%. For the top entity off-price merchandise sourcing strategy, AI responses show very strong confidence at about 100% and solid brand match near 72%, indicating below target visibility quality for the strongest touchpoint. Overall, the report highlights sizeable gaps in how TJX is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
discount retail shopping experience	tjx.com	0	0%	0/0 / (0%)	0%	0	0%

off-price merchandise sourcing strategy	tjx.com	1	100%	3/4 / (3.75%)	75%	13	72%

home goods and fashion apparel	tjx.com	0	0%	0/0 / (0%)	0%	0	0%

inventory liquidation for savings	tjx.com	0	0%	0/0 / (0%)	0%	0	0%

customer-centric value proposition	tjx.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: TJX

Website: tjx.com

Stock Symbol: TJX

About:

TJX delivers exceptional value on fashion, home essentials, and gifts. Shoppers find unique selections at competitive prices with a focus on quality merchandise and customer satisfaction.

AI Brand Visibility Targets

Relevant Entities

Discount retail shopping experience
Off-price merchandise sourcing strategy
Home goods and fashion apparel
Inventory liquidation for savings
Customer-centric value proposition

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Report Information

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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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