Dun & Bradstreet Holdings

ChatGPT Visibility Report

AI Brand Visibility for Dun & Bradstreet Holdings (dnb.com) points to a low but measurable level of exposure in AI results, with commercial information database access leading AI exposure on a Visibility Index of 99, an average rank of 1.0, and appearing in around 100% of measured iterations. Across all 5 entities linked to Dun & Bradstreet Holdings, the average Visibility Index is about 38, with moderate LLM confidence at roughly 51% and moderate brand discovery around 40%. For the top entity commercial information database access, AI responses show very strong confidence at about 100% and solid brand match near 72%, indicating strong visibility quality for the strongest touchpoint. Business credit reporting services also contributes to the brand’s footprint, with a Visibility Index of 62, solid discovery close to 75% and very strong confidence around 100%. In addition, financial data analytics solutions shows low visibility, combining a Visibility Index of 30 with limited discovery near 25% and moderate confidence near 54%. Taken together, these results show that Dun & Bradstreet Holdings is still early in its AI visibility journey and will benefit from focused initiatives to increase recognition in model responses.

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Company Name: Dun & Bradstreet Holdings

Website: dnb.com

Stock Symbol: DNB

Sector: Financials Leaderboard

Industry: Diversified Financials

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Business credit reporting services Financial data analytics solutions Commercial information database access Risk management and assessment tools Market intelligence and insights See More Entities

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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.

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