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Index Sales Intent data › Intentsify vs ZoomInfo
B2B intent data providers · September 2026 Edition

Intentsify vs ZoomInfo

One of twelve models named Intentsify first on the direct prompt; one named ZoomInfo. Intentsify was named by nine of the twelve models and ZoomInfo by twelve and Intentsify carries 19 labels and ZoomInfo 37, so the shares are not directly comparable.

Intentsify

accepted challenger

Named in one category this edition.

ZoomInfo

criticized challenger

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

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 14; printed, not drawn.
Labels1937A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Intentsify reading right to left. Rank and label count are printed, not drawn.G2 Buyer Intent was named alongside these two in nine of the twelve direct answers. Bombora vs Intentsify · Bombora vs ZoomInfo · Apollo.io vs Intentsify

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.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
IntentsifyFirst choices, of twelve modelsZoomInfo
Direct111 against Intentsify
Paraphrase112 against ZoomInfo
Comparative00
Budget-constrained003 against ZoomInfo
Scale-constrained00
Negative006 against ZoomInfo
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Intentsify and ZoomInfo stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Intentsify ZoomInfo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intentsify on the left and ZoomInfo on the right.

The direct prompt

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

Intentsify first, ZoomInfo not the choice

1 of 12 modelsZoomInfo was named in the answer but not as the choice, or not at all.
Llama 4 MaverickBombora, Intentsify alternatives: Abmatic AI, Cognism, Dealfront

ZoomInfo first, Intentsify not the choice

1 of 12 modelsIntentsify was named in the answer but not as the choice, or not at all.
Kimi K2Bombora, ZoomInfo alternatives: AdRoll ABM, Demandbase, G2 Buyer Intent

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Cognism, Dealfront, Demandbase, Intentsify
Grok 4.1 FastBombora alternatives: AdRoll ABM, Dealfront, G2 Buyer Intent, ZoomInfo
DeepSeek V4 FlashBombora, G2 Buyer Intent alternatives: Intentsify, ZoomInfo
Qwen 3.7 FlashBombora alternatives: AdRoll ABM, Factors.ai, G2 Buyer Intent, Intentsify, Warmly
MiniMax M2.5Bombora, G2 Buyer Intent alternatives: Apollo Intent, Factors.ai, Intentsify

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniBombora alternatives: 6sense, AdRoll ABM, Demandbase, G2 Buyer Intent
Gemini 3.5 FlashApollo.io, HubSpot Breeze Intelligence alternatives: Bombora, G2 Buyer Intent, RB2B, Warmly
Perplexity SonarBombora alternatives: 6sense, Dealfront, G2 Buyer Intent
Mistral SmallMarketBetter alternatives: Apollo.io, Dealfront, Factors.ai
GLM 4.7 FlashXApollo.io alternatives: Dealfront, G2 Buyer Intent, RB2B

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
Level: the same share of first choices.
Intentsify0%#– of 14
ZoomInfo0%#13 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Intentsify4%#4 of 14
ZoomInfo4%#5 of 14
The full mid-market standing →
Enterprise
ZoomInfo leads by two points.
ZoomInfo2%#4 of 9
Intentsify0%#8 of 9
The full enterprise standing →

What the models said about Intentsify

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

“better suited for enterprise ABM teams with dedicated RevOps resources” Kimi K2 · direct prompt · soft negative
“Bombora or Intentsify - Recommended for mid-market teams with budgets between $25K-$75K/year for third-party intent data.” Llama 4 Maverick · direct prompt · first choice
“I'd recommend starting with Bombora or Intentsify if your primary goal is pure intent data” MiniMax M2.5 · paraphrase prompt · first choice
“best for mid-market and enterprise teams wanting managed activation services alongside intent intelligence” Claude Haiku 4.5 · direct prompt · alternative

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.

“here are the B2B intent data providers ... you should approach with caution ... ZoomInfo (Specifically "Streaming Intent") ... High False Positive Rate” Qwen 3.7 Flash · negative prompt · hard negative
“ZoomInfo Intent: Streaming signals criticized as lowest quality (Bombora-resold + web), inaccurate revenue/employee data, buggy.” Grok 4.1 Fast · 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.