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B2B intent data providers · November 2026 Edition

Apollo.io vs ZoomInfo

One of fourteen models named Apollo.io first on the direct prompt; one named ZoomInfo. Apollo.io was named by thirteen of the fourteen models and ZoomInfo by fourteen and Apollo.io carries 37 labels and ZoomInfo 44, so the shares are not directly comparable.

Apollo.io

accepted challenger

San Francisco, United States, founded 2015. Named in twenty-two categories this edition.

ZoomInfo

criticized challenger

Vancouver, Washington, United States, founded 2000. Named in fifteen categories this edition.

First-choice share29%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%27%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 12; printed, not drawn.
Labels3744A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Apollo.io reading right to left. Rank and label count are printed, not drawn.Bombora was named alongside these two in thirteen of the fourteen direct answers. Bombora vs Apollo.io · Bombora vs ZoomInfo · Apollo.io vs Dealfront

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Apollo.ioFirst choices, of fourteen modelsZoomInfo
Direct11
Paraphrase54
Comparative00
Budget-constrained1005 against ZoomInfo
Scale-constrained00
Negative001 against Apollo.io · 7 against ZoomInfo
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Apollo.io and ZoomInfo were named in the same answer 336 times, of the 1129 answers naming Apollo.io and the 617 naming ZoomInfo. In those answers ZoomInfo took the first choice fifty-four times and Apollo.io 132.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Apollo.io and ZoomInfo stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Apollo.io ZoomInfo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apollo.io on the left and ZoomInfo on the right.

The direct prompt

The plain question, one answer per model, grouped by where Apollo.io and ZoomInfo stood in it.

Apollo.io first, ZoomInfo an alternative

1 of 14 modelsZoomInfo was named in the answer but not as the choice, or not at all.
Grok 4.20Apollo.io alternatives: Bombora, Dealfront, Factors.ai, G2 Buyer Intent, ZoomInfo

ZoomInfo first, Apollo.io an alternative

1 of 14 modelsApollo.io was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashZoomInfo alternatives: Apollo.io, Bombora, Cognism, G2 Buyer Intent

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarBombora alternatives: Dealfront, G2 Buyer Intent, ZoomInfo
Mistral SmallBombora alternatives: Apollo.io, G2 Buyer Intent, Warmly
Llama 4 MaverickBombora alternatives: 6sense, Apollo.io, G2 Buyer Intent
Qwen 3.7 FlashBombora, Factors.ai alternatives: Apollo.io, Prospeo
Kimi K2G2 Buyer Intent, ZoomInfo Streaming Intent alternatives: Apollo.io, Bombora, Warmly
GLM 4.7 FlashXFactors.ai alternatives: Apollo.io, Dealfront, HubSpot Breeze Intelligence
Muse Glimmer 30BHubSpot Breeze Intelligence alternatives: 6sense, Bombora, Salesmotion, TechTarget Priority Engine, ZoomInfo

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Bombora, G2 Buyer Intent
GPT-5.4 miniBombora alternatives: 6sense, Demandbase
DeepSeek V4 FlashAdRoll ABM alternatives: Bombora, G2 Buyer Intent, ZoomInfo + Intent Add-on
MiniMax M2.5Bombora alternatives: G2 Buyer Intent, Salesmotion, Sona, TrustRadius
GPT-6 LunaBombora alternatives: 6sense, G2 Buyer Intent

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.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Apollo.io leads by sixty-one points.
Apollo.io62%#1 of 13
ZoomInfo2%#7 of 13
The full small business standing →
Mid-marketThe figures above
Apollo.io leads by twenty points.
Apollo.io29%#2 of 12
ZoomInfo9%#3 of 12
The full mid-market standing →
Enterprise
The order flips: ZoomInfo leads at enterprise.
ZoomInfo4%#4 of 9
Apollo.io2%#– of 9
The full enterprise standing →

What the models said about Apollo.io

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Apollo.io and Bombora are the most frequently recommended due to their balance of affordability, ease of integration, and strong intent signals.” Mistral Small · paraphrase prompt · first choice
“Best All-in-One Platform (3rd-Party Intent Data): Apollo.io ... Free tier available; paid plans start around $49 to $99/user/month.” Gemini 3.5 Flash · budget prompt · first choice

What the models said about ZoomInfo

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Bidstream-based providers (e.g., ZoomInfo, Demandbase) - Why avoid: These providers harvest intent data from ad auctions, which is legally contested” Mistral Small · negative prompt · hard negative
“Data accuracy issues: Multiple sources cite outdated contacts, incorrect job titles, and stale information as persistent problems” Kimi K2 · negative prompt · hard negative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.