Dun & Bradstreet Holdings AI Brand Visibility (April, 2026)

ChatGPT Visibility Report

AI Brand Visibility for Dun & Bradstreet Holdings (dnb.com) reflects a low but measurable level of exposure in AI results, where commercial information database access is the strongest entity with a Visibility Index of 99, typical rank around 1.0, and appearing in roughly 100% of AI replies. 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. In addition, business credit reporting services shows below target visibility, combining a Visibility Index of 62 with solid discovery near 75% and very strong confidence near 100%. Financial data analytics solutions also contributes to the brand’s footprint, with a Visibility Index of 30, limited discovery close to 25% and moderate confidence around 54%. Overall, the report highlights sizeable gaps in how Dun & Bradstreet Holdings is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

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Company Name: Dun & Bradstreet Holdings

Website: dnb.com

Stock Symbol: DNB

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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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