| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Sales intelligence and contact data | Sales | 12% | 2 of 52 | 36% | 69 | criticized challenger | ▼−7Since September 2026: 17% → 10%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Market intelligence platforms | GTM data and infrastructure | 12% | 2 of 172 | 30% | 47 | criticized challenger | |
| Audience and consumer insights platforms | Marketing | 9% | 4 of 155 | 20% | 15 | accepted challenger | |
| B2B intent data providers | Sales | 7% | 5 of 60 | 36% | 50 | criticized challenger | ▲+4Since September 2026: 4% → 8%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data enrichment | GTM data and infrastructure | 6% | 3 of 50 | 48% | 60 | criticized challenger | ▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 2% | 6 of 159 | 0% | 9 | under 10 labels · led by Segment at 37% | ▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer data platforms | GTM data and infrastructure | 2% | 10 of 61 | 0% | 2 | under 10 labels · led by Segment at 49% | newNew since September 2026: not ranked then, 2% now. |
| Competitive intelligence tools | Marketing | 2% | 8 of 86 | 0% | 4 | under 10 labels · led by Kompyte at 38% | |
| CRM data quality and deduplication | Revenue operations | 0% | 17 of 99 | 13% | 15 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 0% | 43 of 140 | 12% | 8 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Revenue intelligence and forecasting | Sales | 0% | 75 of 76 | 43% | 7 | under 10 labels · led by Clari Copilot at 28% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Email verification | GTM data and infrastructure | 0% | 55 of 65 | 40% | 5 | under 10 labels · led by ZeroBounce at 42% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 38 of 142 | 0% | 4 | under 10 labels · led by Amplitude at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Territory and quota planning | Revenue operations | 0% | 41 of 123 | 0% | 4 | under 10 labels · led by CaptivateIQ Planning at 36% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Value selling tools | Sales | 0% | 34 of 116 | 0% | 3 | under 10 labels · led by Minoa at 21% | |
| Conversational intelligence and call recording | Sales | 0% | 53 of 91 | 0% | 2 | under 10 labels · led by Avoma at 41% | newNew since September 2026: not ranked then, 0% now. |
| Field sales tools | Sales | 0% | 86 of 94 | 50% | 2 | under 10 labels · led by Badger Maps at 38% | |
| Sales enablement and content | Sales | 0% | 69 of 72 | 100% | 2 | under 10 labels · led by HubSpot Sales Hub at 29% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Address verification tools | GTM data and infrastructure | 0% | 70 of 108 | 0% | 1 | under 10 labels · led by Smarty at 47% | |
| AI marketing agents | Marketing | 0% | 149 of 157 | 100% | 1 | under 10 labels · led by HubSpot Breeze at 24% | |
| Data clean rooms | GTM data and infrastructure | 0% | 99 of 100 | 100% | 1 | under 10 labels · led by Snowflake Data Clean Rooms at 19% | |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 67 of 83 | 100% | 1 | under 10 labels · led by Hightouch at 40% | newNew since September 2026: not ranked then, 0% now. |
| Experimentation and personalization | Marketing | 0% | 69 of 71 | 100% | 1 | under 10 labels · led by VWO at 27% | newNew since September 2026: not ranked then, 0% now. |
| Native and content advertising | Marketing | 0% | 67 of 86 | 0% | 1 | under 10 labels · led by StackAdapt at 41% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Retail media platforms | Marketing | 0% | 60 of 121 | 0% | 1 | under 10 labels · led by Amazon Ads at 33% | |
| Web analytics | GTM data and infrastructure | 0% | 70 of 91 | 0% | 1 | under 10 labels · led by Google Analytics 4 at 57% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Market intelligence | 0% | 13% | newNew since September 2026: not ranked then, 13% now. | New this edition | Rank 2 of 172, unchanged |
| Audience insights | 0% | 11% | newNew since September 2026: not ranked then, 11% now. | New this edition | Rank 4 of 155, unchanged |
| Sales intel | 17% | 10% | ▼−7Since September 2026: 17% → 10%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 of 52, unchanged |
| Enrichment | 2% | 7% | ▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 3 of 50 |
| Intent data | 4% | 8% | ▲+4Since September 2026: 4% → 8%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 of 60, unchanged |
| CDP | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 10 of 61, unchanged |
| Competitive intel | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 8 of 86, unchanged |
| DMP | 2% | 3% | ▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 6 of 159 |
| CRM data quality | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 33 → 17 of 99 |
| Identity | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 23 → 43 of 140 |
| Revenue intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 25 → 75 of 76 |
| Email verification | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 23 → 55 of 65 |
| Customer intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 124 → 38 of 142 |
| Territory planning | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 28 → 41 of 123 |
| Value selling | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 34 of 116, unchanged |
| Conversation intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 53 of 91, unchanged |
| Field sales | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 86 of 94, unchanged |
| Sales enablement | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 60 → 69 of 72 |
| Address verification | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 70 of 108, unchanged |
| AI marketing agents | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 149 of 157, unchanged |
| Data clean rooms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 99 of 100, unchanged |
| Warehouse & ETL | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 67 of 83, unchanged |
| Experimentation | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 69 of 71, unchanged |
| Native ads | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 36 → 67 of 86 |
| Retail media | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 60 of 121, unchanged |
| Web analytics | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 70 of 91, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 7 | 8 | 4 | 20 |
| GPT-5.4 mini | 3 | 6 | 2 | 6 | 17 |
| Gemini 3.5 Flash | 1 | 6 | 5 | 13 | 25 |
| Perplexity Sonar | 5 | 4 | 5 | 7 | 21 |
| Grok 4.1 Fast | 2 | 3 | 7 | 12 | 24 |
| Mistral Small | 4 | 6 | 8 | 3 | 21 |
| DeepSeek V4 Flash | 3 | 8 | 5 | 14 | 30 |
| Llama 4 Maverick | 3 | 4 | 15 | 2 | 24 |
| Qwen 3.7 Flash | 7 | 6 | 8 | 9 | 30 |
| Kimi K2 | 3 | 8 | 2 | 11 | 24 |
| GLM 4.7 FlashX | 2 | 7 | 3 | 5 | 17 |
| MiniMax M2.5 | 4 | 8 | 8 | 4 | 24 |
| GPT-6 Luna | 0 | 5 | 0 | 3 | 8 |
| Muse Glimmer 30B | 4 | 5 | 11 | 11 | 31 |
Verbatim evidence the judge attached to positive labels.
“Top Pick: ZoomInfo ... Start with ZoomInfo if your focus is sales pipelines and data accuracy—it's the most cited for B2B mid-market.” Grok 4.1 Fast · Audience insights · direct prompt · first choice
“For most mid-market companies, ZoomInfo is the top all-around choice due to its scale, features, and integration capabilities.” Mistral Small · Enrichment · direct prompt · first choice
“Platform covers data, intent, seller workflow and API access in one platform; most other tools specialize in one or two layers.” Muse Glimmer 30B · Sales intel · comparative prompt · first choice
“ZoomInfo is the safest pick for a mid-sized B2B company that wants a mature, scalable lead and account enrichment platform.” Perplexity Sonar · Enrichment · paraphrase prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid platforms that monetize your own data back to you via free tiers that require CRM/email access, or that scan email signatures/inboxes.” Muse Glimmer 30B · Audience insights · negative prompt · hard negative
“Multiple 2024 securities class actions alleging misleading investors about financial performance and using coercive auto-renewal policies” MiniMax M2.5 · Sales intel · negative prompt · hard negative
“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 · Intent data · negative prompt · hard negative
“High Caution: ZoomInfo ... frequent complaints of inaccurate/outdated contact data ... Best avoided if: You're a small team” Grok 4.1 Fast · Market intelligence · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 846 of the 914 answers that named ZoomInfo and are not a share of its labels.
1,728 of the 2,280 domain citations in answers naming ZoomInfo came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Comparison | 1,110 | undated | |||
| Blog | 60 | undated | |||
| Glossary or explainer | 26 | undated | |||
| Report or ebook | 18 | undated | |||
| News or press | 15 | 4 | 2026-09-28 | ||
| Case study | 7 | 0 | 2025-07-29 | ||
| Podcast or video | 7 | undated | |||
| Conference or event | 5 | undated | |||
| Webinar or virtual event | 4 | undated | |||
| Template or tool | 2 | undated |
Every page zoominfo.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What ZoomInfo's own pages state, read September 28, 2026: zoominfo.com, trust.zoominfo.com. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when ZoomInfo's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as ZoomInfo, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for ZoomInfo by email, built from the raw record of the edition. It shows:
ZoomInfo is among the products AI models recommend first in Sales intelligence and contact data this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
ZoomInfo is among the products AI models recommend first in Market intelligence platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
ZoomInfo is among the products AI models recommend first in Data enrichment this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.