Take-Two Interactive Software AI Brand Visibility (December, 2025)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Take-Two Interactive Software (take2games.com) shows a low but measurable level of exposure in AI results, led by interactive entertainment software development with a Visibility Index of 93, an average rank of 3.0, and discovery in about 100% of sampled responses. Across all 5 entities linked to Take-Two Interactive Software, the average Visibility Index is about 34, with limited LLM confidence at roughly 24% and moderate brand discovery around 40%. For the top entity interactive entertainment software development, AI responses show very strong confidence at about 82% and very strong brand match near 81%, indicating strong visibility quality for the strongest touchpoint. In addition, video game publishing and distribution shows above average visibility, combining a Visibility Index of 79 with very strong discovery near 100% and moderate confidence near 40%. Overall, the report highlights sizeable gaps in how Take-Two Interactive Software 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
interactive entertainment software development	take2games.com	3	82%	4/4 / (5%)	100%	100	81%

video game publishing and distribution	take2games.com	9	40%	4/4 / (5%)	100%	100	81%

online multiplayer gaming experiences	take2games.com	0	0%	0/0 / (0%)	0%	0	0%

interactive storytelling in games	take2games.com	0	0%	0/0 / (0%)	0%	0	0%

game design and production services	take2games.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Take-Two Interactive Software

Website: take2games.com

Stock Symbol: TTWO

About:

Take-Two Interactive Software develops acclaimed video games, driving industry innovation through engaging titles that captivate diverse audiences and deliver exceptional entertainment experiences across multiple platforms.

AI Brand Visibility Targets

Relevant Entities

Interactive entertainment software development
Video game publishing and distribution
Online multiplayer gaming experiences
Interactive storytelling in games
Game design and production services

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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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