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CRM data quality and deduplication · November 2026 Edition

ZoomInfo Operations vs ZoomInfo

Zero of fourteen models named ZoomInfo Operations first on the direct prompt; zero named ZoomInfo. ZoomInfo Operations was named by ten of the fourteen models and ZoomInfo by nine and ZoomInfo Operations carries 16 labels and ZoomInfo 15, so the shares are not directly comparable.

ZoomInfo Operations

criticized challenger

By ZoomInfo, Vancouver, Washington, United States, founded 2000. Named in three categories this edition.

ZoomInfo

accepted challenger

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

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 13; printed, not drawn.
Labels1615A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZoomInfo Operations reading right to left. Rank and label count are printed, not drawn.Insycle was named alongside these two in fourteen of the fourteen direct answers. Insycle vs ZoomInfo Operations · Insycle vs ZoomInfo · Dedupely vs ZoomInfo Operations

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 CRM data quality and deduplication page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ZoomInfo OperationsFirst choices, of fourteen modelsZoomInfo
Direct00
Paraphrase21
Comparative01
Budget-constrained001 against ZoomInfo Operations · 2 against ZoomInfo
Scale-constrained00
Negative002 against ZoomInfo Operations · 1 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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where ZoomInfo Operations 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
ZoomInfo Operations ZoomInfo first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZoomInfo Operations on the left and ZoomInfo on the right.

The direct prompt

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

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5DemandTools alternatives: Cloudingo, Dedupely, Insycle, LeadAngel, ZoomInfo Operations

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniInsycle alternatives: Cloudingo, DemandTools, HubSpot Operations Hub
Gemini 3.5 FlashInsycle alternatives: Clay, DataGroomr, Dedupely, Validity
Perplexity SonarInsycle alternatives: Cloudingo, DemandTools, Openprise, Tofu, ZoomInfo OperationsOS
Grok 4.20Insycle alternatives: Dedupely, DemandTools
Mistral SmallInsycle
DeepSeek V4 FlashInsycle alternatives: Cloudingo, Dedupely, DemandTools
Llama 4 MaverickCleanlist alternatives: Dedupely, DemandTools, Findymail CRM Datacare, Insycle
Qwen 3.7 FlashCleanlist alternatives: Clay, Dedupely, DemandTools, Insycle
Kimi K2Insycle alternatives: Cloudingo, Dedupely, DemandTools
GLM 4.7 FlashXInsycle alternatives: Cleanlist, Cloudingo, Dedupely, DemandTools
MiniMax M2.5Insycle alternatives: Cleanlist, Cloudingo, Dedupely
GPT-6 LunaInsycle alternatives: Cloudingo, DemandTools
Muse Glimmer 30BInsycle alternatives: Dedupely, DemandTools

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.
ZoomInfo Operations0%#11 of 11
ZoomInfo0%#– of 11
The full small business standing →
Mid-marketThe figures above
ZoomInfo Operations leads by two points.
ZoomInfo Operations4%#5 of 13
ZoomInfo2%#6 of 13
The full mid-market standing →
Enterprise
ZoomInfo Operations leads by four points.
ZoomInfo Operations6%#5 of 11
ZoomInfo2%#9 of 11
The full enterprise standing →

What the models said about ZoomInfo Operations

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

“Avoid enterprise tools like ZoomInfo Operations ($995/month) or RingLead ($875/month) if you're on a small budget” DeepSeek V4 Flash · budget prompt · hard negative
“legacy players like RingLead are powerful, they are often described as "overkill" for most growing companies” Qwen 3.7 Flash · negative prompt · hard negative
“Avoid enterprise tools like ZoomInfo Operations ($995/month)” DeepSeek V4 Flash · budget prompt · hard negative
“If you need an all-in-one GTM platform with built-in data cleansing, ZoomInfo is a top choice.” Mistral Small · paraphrase prompt · first choice
“the strongest general recommendation is ZoomInfo Operations” Perplexity Sonar · paraphrase prompt · first choice
“integrates directly with Salesforce, HubSpot, and Microsoft Dynamics to automate deduplication, standardization, and continuous enrichment” Claude Haiku 4.5 · direct prompt · alternative

What the models said about ZoomInfo

No label in this category carried a quote.

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.