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B2B intent data providers · October 2026 Edition

ZoomInfo vs G2 Buyer Intent

Two of fourteen models named ZoomInfo first on the direct prompt; one named G2 Buyer Intent. Both were named by all fourteen models and ZoomInfo carries 50 labels and G2 Buyer Intent 44, so the shares are not directly comparable.

ZoomInfo

criticized challenger

Vancouver, Washington, United States, founded 2000. Named in twenty-six categories this edition.

G2 Buyer Intent

accepted challenger

By G2, Chicago, United States, founded 2012. Named in seven categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate36%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels5044A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZoomInfo reading right to left. Rank and label count are printed, not drawn.Bombora was named alongside these two in ten of the fourteen direct answers. Apollo.io vs ZoomInfo · Apollo.io vs G2 Buyer Intent · Bombora vs ZoomInfo

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.
ZoomInfoFirst choices, of fourteen modelsG2 Buyer Intent
Direct211 against ZoomInfo
Paraphrase203 against ZoomInfo
Comparative00
Budget-constrained005 against ZoomInfo · 1 against G2 Buyer Intent
Scale-constrained00
Negative009 against ZoomInfo · 4 against G2 Buyer Intent
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 October 2026 Edition, ZoomInfo and G2 Buyer Intent were named in the same answer ninety-nine times, of the 914 answers naming ZoomInfo and the 177 naming G2 Buyer Intent. In those answers G2 Buyer Intent took the first choice four times and ZoomInfo ten.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where ZoomInfo and G2 Buyer Intent 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
GPT-6 Luna
Muse Glimmer 30B
ZoomInfo G2 Buyer Intent first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZoomInfo on the left and G2 Buyer Intent on the right.

The direct prompt

The plain question, one answer per model, grouped by where ZoomInfo and G2 Buyer Intent stood in it.

ZoomInfo first, G2 Buyer Intent an alternative

2 of 14 modelsG2 Buyer Intent was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashZoomInfo alternatives: Bombora, Cognism, Factors.ai, RB2B
Kimi K2Dealfront, ZoomInfo alternatives: Bombora, G2 Buyer Intent

G2 Buyer Intent first, ZoomInfo not the choice

1 of 14 modelsZoomInfo was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Bombora, G2 Buyer Intent alternatives: Apollo Intent, Dealfront, Factors.ai, Intentsify

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.
GPT-5.4 miniBombora alternatives: 6sense, G2 Buyer Intent
Grok 4.1 FastBombora alternatives: AdRoll ABM, G2 Buyer Intent, Intentsify, Warmly
DeepSeek V4 FlashBombora alternatives: G2 Buyer Intent, Intentsify, ZoomInfo
Qwen 3.7 FlashBombora alternatives: 6sense, Datanyze, Demandbase, ZoomInfo
GLM 4.7 FlashXFactors.ai alternatives: Bombora, Dealfront, G2 Buyer Intent
MiniMax M2.56sense alternatives: Bombora, Dealfront, Demandbase, G2 Buyer Intent, Prospeo, TrustRadius, ZoomInfo Streaming Intent
GPT-6 LunaBombora alternatives: 6sense, G2 Buyer Intent

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity Sonar6sense alternatives: Apollo.io, Dealfront, Demandbase
Mistral SmallDealfront, Factors.ai alternatives: 6sense, Lusha
Llama 4 Maverickno first choice
Muse Glimmer 30BDealfront, Factors.ai alternatives: Warmly

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
G2 Buyer Intent leads by four points.
G2 Buyer Intent4%#4 of 14
ZoomInfo0%#12 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: ZoomInfo leads at mid-market.
ZoomInfo7%#5 of 13
G2 Buyer Intent2%#8 of 13
The full mid-market standing →
Enterprise
ZoomInfo leads by two points.
ZoomInfo6%#4 of 9
G2 Buyer Intent4%#5 of 9
The full enterprise standing →

What the models said about ZoomInfo

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

“Verdict: Avoid if you need reliable intent signals for SDR outreach. The false positive rate will burn your reps' time and trust.” DeepSeek V4 Flash · negative prompt · hard negative

What the models said about G2 Buyer Intent

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

“But check the actual package and price first: G2 says signal access depends on your plan, and its public pricing doesn't clearly show Buyer Intent as included in the low-cost Starter plan.” GPT-6 Luna · budget prompt · soft negative
“G2/TrustRadius/TechTarget-style intent can be useful, but it is often best for product-category research and may be less useful if you need broad, person-level buying intent” GPT-5.4 mini · negative prompt · soft negative
“Each appears in comparison charts but shares recurring pain points—stale data, opaque predictive models, steep learning curves” Qwen 3.7 Flash · negative prompt · soft negative
“Bombora layered with G2 Buyer Intent is the pragmatic starting point.” Claude Haiku 4.5 · direct prompt · first choice
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.