Intercontinental Exchange AI Brand Visibility (December, 2025)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Intercontinental Exchange (ice.com) shows an extremely low level of exposure in AI results, led by trading technology solutions with a Visibility Index of 33, an average rank of 5.0, and discovery in about 25% of sampled responses. Across all 5 entities linked to Intercontinental Exchange, the average Visibility Index is about 7, with very limited LLM confidence at roughly 12% and very limited brand discovery around 5%. For the top entity trading technology solutions, AI responses show solid confidence at about 62% and very strong brand match near 100%, indicating low visibility quality for the strongest touchpoint. Taken together, these results show that Intercontinental Exchange is still early in its AI visibility journey and will benefit from focused initiatives to increase recognition in model responses.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
financial market data services	ice.com	0	0%	0/0 / (0%)	0%	0	0%

trading technology solutions	ice.com	5	62%	1/4 / (1.25%)	25%	13	100%

global risk management platforms	ice.com	0	0%	0/0 / (0%)	0%	0	0%

data analytics for trading	ice.com	0	0%	0/0 / (0%)	0%	0	0%

electronic marketplace infrastructure	ice.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Intercontinental Exchange

Website: ice.com

Stock Symbol: ICE

About:

Intercontinental Exchange connects global markets through innovative data technology solutions, enabling efficient trading and transparent information access for institutional investors, financial professionals, and businesses worldwide.

AI Brand Visibility Targets

Relevant Entities

Financial market data services
Trading technology solutions
Global risk management platforms
Data analytics for trading
Electronic marketplace infrastructure

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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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