Eight of twelve models named Bombora first on the direct prompt; two named Apollo.io. Bombora was named by twelve of the twelve models and Apollo.io by eleven and Bombora carries 56 labels and Apollo.io 27, so the shares are not directly comparable.
Named in six categories this edition.
San Francisco, United States, founded 2015. Named in twenty categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the B2B intent data providers page.
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid: Enterprise platforms like ... Bombora ($25K-$75K/year)” GLM 4.7 FlashX · budget prompt · hard negative
“What to Avoid on a Limited Budget ... Bombora (~$25K+/yr)” Kimi K2 · budget prompt · hard negative
“Skip the enterprise platforms (Bombora, 6sense, Demandbase, ZoomInfo) unless you have five-figure annual budget” DeepSeek V4 Flash · budget prompt · soft negative
“For pure lead generation/scoring: Go with Bombora. It provides the cleanest, most standardized dataset for most mid-market ABM strategies.” Qwen 3.7 Flash · paraphrase prompt · first choice
“The industry standard for third-party cooperative intent... The "market standard" co-op network used by most large enterprises.” Qwen 3.7 Flash · comparative prompt · first choice
“Bombora is widely considered the industry standard and best starting point due to its data quality, coverage, and integrations” Qwen 3.7 Flash · direct prompt · first choice
No label in this category carried a quote.
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.