Sales intelligence and contact data: what fourteen AI models recommend, and why, November 2026
Fourteen AI models were asked for B2B contact data and sales intelligence platform six ways each, on behalf of a small, a mid-market and an enterprise B2B company: 252 answers, in which a judge labeled 68 products. Two of them carry at least 10 labels and a first choice, and are ranked. This guide walks the top two in the order the mid-market standing puts them, with what the models said for and against each, in their words. Apollo.io leads at 93% of first choices, a clear leader.
At a glance
| Product | First-choice share | Negative rate | Labels | Leads for | Quadrant | |
|---|---|---|---|---|---|---|
| 1 |  Apollo.io | 93% | 12% | 74 | Small business, Mid-market | endorsed leader |
| 2 |  ZoomInfo SalesOS | 5% | 43% | 70 | Enterprise | criticized challenger |
The full standing, every product with 10 labels or more, is on the category page, with the products at zero and the ones warned against.
How a product gets on this list
The judge reads every answer
A product is on the record because a model named it in an answer and the judge labeled the naming: first choice, alternative, mention, caution or warning, each with the sentence it came from. 68 products were named for B2B contact data and sales intelligence platform this edition.
10 labels and a first choice
A product is ranked once it carries 10 labels in a segment and at least one first choice there. Below that it is named but not ranked, and it says so on its page. The vendor table that folds spellings into products is versioned; this page was scored under v2026-11-09.1.
The noise floor
The same categories are asked again with nothing changed to measure how much an answer moves on its own. A change in share smaller than the floor is not reported as a change. The repeat, model by model.
The six questions
| Framing | The question |
|---|---|
| Direct | What is the best B2B contact data and sales intelligence platform for a mid-market B2B company? |
| Paraphrase | Which B2B prospecting database would you recommend to a mid-sized B2B company? |
| Comparative | What are the top sales intelligence and contact data platforms and how do they differ? |
| Budget-constrained | What is the best B2B contact data and sales intelligence platform for a company with a limited budget? |
| Scale-constrained | We are a 500 person company evaluating a B2B contact data and sales intelligence platform. What should we look at? |
| Negative | Which sales intelligence and contact data platforms should I avoid or be cautious about? |
1. Apollo.io
Apollo.io is #1 of 2 for the mid-market buyer at 93% of first choices, from 74 labels by 14 of 14 models; 12% of those labels were cautions or warnings. Eleven of fourteen models named it first on the direct question. It led the direct, paraphrase, budget-constrained, scale-constrained framings. By buyer: small business #1 of 2 at 96%; mid-market #1 of 2 at 93%; enterprise #2 of 6 at 9%.
9 of 14 models argued against it somewhere in their answers, 1 as a warning.
What the models said for it
No positive label in this category carried a quote.
And against it
“Apollo's data quality issues are well-documented, with users reporting accuracy has declined, particularly for phone numbers.” Claude Haiku 4.5 · negative prompt · hard negative
2. ZoomInfo SalesOS
ZoomInfo SalesOS is #2 of 2 for the mid-market buyer at 5% of first choices, from 70 labels by 14 of 14 models; 43% of those labels were cautions or warnings. Two of fourteen models named it first on the direct question. It led the comparative framing. By buyer: small business unranked; mid-market #2 of 2 at 5%; enterprise #1 of 6 at 73%.
14 of 14 models argued against it somewhere in their answers, 8 as a warning.
What the models said for it
“Highest data accuracy in US enterprise markets... typically LinkedIn Sales Navigator for networking plus one contact database (Apollo or ZoomInfo) for enrichment” GLM 4.7 FlashX · comparative prompt · first choice
“Best for detailed B2B data, including firmographics, technographics, and intent data. It's a leader in comprehensive contact and company databases” Mistral Small · comparative prompt · first choice
And against it
“Avoid ZoomInfo initially unless the company needs enterprise-grade coverage and can justify a substantially higher, quote-based cost.” Perplexity Sonar · budget prompt · hard negative
“ZoomInfo is subject to numerous complaints and multiple lawsuits concerning its collection and sales of personal data” Claude Haiku 4.5 · negative prompt · hard negative
Where the models split
By framing, mid-market buyer
| Framing | Named first most often | Then |
|---|---|---|
| Direct | Apollo.io 11 of 14 models | ZoomInfo SalesOS (2), ReachStream (1) |
| Paraphrase | Apollo.io 14 of 14 models | |
| Comparative | ZoomInfo SalesOS 9 of 14 models | Apollo.io (5) |
| Budget-constrained | Apollo.io 14 of 14 models | |
| Scale-constrained | Apollo.io 1 of 14 models | |
| Negative |  Cognism 1 of 14 models | Hunter (1) |
By buyer
| Buyer | Leads | Then |
|---|---|---|
| Small business | Apollo.io 96% | Lusha |
| Mid-market | Apollo.io 93% | ZoomInfo SalesOS |
| Enterprise | ZoomInfo SalesOS 73% | Apollo.io, Cognism, Demandbase |
Questions the record answers
Which B2B contact data and sales intelligence platform do AI models name first most often?
Apollo.io, in 93% of first choices for a mid-market B2B company in the November 2026 Edition, from 74 labels. The index calls that a clear leader.
Does the answer change with the size of the company?
Small business: Apollo.io at 96%. Mid-market: Apollo.io at 93%. Enterprise: ZoomInfo SalesOS at 73%. Each standing is computed within its segment and never pooled.
Which framing changes the answer?
The direct, paraphrase, budget and scale framings count toward share. The product named first differs by framing: direct Apollo.io; paraphrase Apollo.io; comparative ZoomInfo SalesOS; budget-constrained Apollo.io; scale-constrained Apollo.io; negative Cognism. The table above has the counts.
How stable is one answer?
The repeat measurement is published with the next edition.
Where do the answers come from?
Fourteen of the fourteen models return sources. Their 74 answers here cite 816 pages; the sites cited most are apollo.io, prospeo.io, salesrabbit.com. The category page lists them all.
Can a vendor pay to be on this list?
No. A product is on the record because a model named it. A vendor can claim its page, propose corrections to the vendor table and be told when its standing moves; it cannot change a label, a share or a rank, and the publisher's conflicts are disclosed on the method page.
The rest of the record on sales intelligence and contact data
The page is published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.