Data enrichment for small business buyers
Asked as “B2B data enrichment tool”, and as “lead and account enrichment service”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
77%
Clear leader
77Apollo.io08Snov.io04Clay11others
77% of first choices, clear leader.
Since September 2026▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Apollo.io held the lead, −2 points on 76%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Apollo.io77%Clear leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketApollo.io73%Clear leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
ZoomInfo62%Clear leader▲+15Since September 2026: 46% → 61%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →
Apollo.io77%Clear leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketApollo.io73%Clear leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseZoomInfo62%Clear leader▲+15Since September 2026: 46% → 61%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Apollo.io77%9%74endorsed leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.76% → 74%
Apollo.io77%9%74endorsed leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.76% → 74%02
Snov.io8%0%25accepted challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 9%
Snov.io8%0%25accepted challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 9%03
Clay4%28%39criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Clay4%28%39criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%04
Lusha2%6%47accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Lusha2%6%47accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%Show the six products at 0%, ordered by negative rate
10ZoomInfo0%82%50criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
ZoomInfo0%82%50criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Cognism0%44%32criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Cognism0%44%32criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
HubSpot Breeze Intelligence0%20%41accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
HubSpot Breeze Intelligence0%20%41accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%06
Hunter0%0%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Hunter0%0%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
UpLead0%0%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
UpLead0%0%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%08
RocketReach0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
RocketReach0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%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
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Apollo.io vs CognismApollo.io vs LushaApollo.io vs HunterApollo.io vs UpLeadClay vs ZoomInfoClay vs HubSpot Breeze IntelligenceClay vs CognismClay vs LushaClay vs HunterClay vs UpLeadZoomInfo vs HubSpot Breeze IntelligenceZoomInfo vs CognismZoomInfo vs LushaZoomInfo vs HunterZoomInfo vs UpLeadHubSpot Breeze Intelligence vs CognismHubSpot Breeze Intelligence vs LushaHubSpot Breeze Intelligence vs HunterHubSpot Breeze Intelligence vs UpLeadCognism vs LushaCognism vs HunterCognism vs UpLeadLusha vs HunterLusha vs UpLeadHunter vs UpLead
One product takes 77% of first choices here, so the chart would put nine markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Gemini 3.5 Flash, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
ZoomInfo82%
41 of 50 labels negative · 13 of 14 models · 17 hard negative
“Enterprise data enrichment platforms like ZoomInfo and Cognism charge $15,000 to $60,000 or more per year, which is not suitable for smaller or medium size businesses.” Claude Haiku 4.5, negative prompt
Cognism44%
14 of 32 labels negative · 9 of 14 models · 5 hard negative
“like ZoomInfo and Cognism charge $15,000 to $60,000 or more per year, which is not suitable for smaller or medium size businesses” Claude Haiku 4.5, negative prompt
Clay28%
11 of 39 labels negative · 9 of 14 models · 2 hard negative
“Skip ZoomInfo ($15k+/year), Cognism, or Clay ($185+/month) unless you have dedicated RevOps staff” Qwen 3.7 Flash, budget prompt
6sense100%
8 of 8 labels negative · 7 of 14 models · 7 hard negative
“6sense has weak contact data quality, with contact records often showing outdated titles or people who have already left the company.” Claude Haiku 4.5, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1083 links across 198 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · ZoomInfo45 answers · 89 citations · 11 models
vendor site · Cleanlist40 answers · 55 citations · 13 models
vendor site · Salesgenie33 answers · 34 citations · 12 models
vendor site · Salesmotion32 answers · 39 citations · 10 models
vendor site · Amplemarket29 answers · 30 citations · 11 models
vendor site · Clay28 answers · 30 citations · 12 models
vendor site · Apollo.io27 answers · 58 citations · 10 models
vendor site · Demandbase27 answers · 31 citations · 10 models
vendor site · Zapier26 answers · 26 citations · 11 models
vendor site · Snov.io22 answers · 22 citations · 12 models
vendor site · RB2B18 answers · 18 citations · 7 models
vendor site · BookYourData17 answers · 18 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
30 answers · 11 models
27 answers · 10 models
27 answers · 10 models
27 answers · 9 models
26 answers · 11 models
24 answers · 11 models
22 answers · 10 models
19 answers · 10 models
19 answers · 9 models
19 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “b2b data enrichment tool”, “best b2b data enrichment tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Apollo.io apollo.io | 77% | 1000 | 33,100 | 396 | 111,608 | 94 | ||
| Snov.io snov.io | 8% | 66 | 3,600 | 71 | 46,528 | 3 | ||
| Clay clay.com Clay 4%, Clay.com 2% | 6% | 226 | 135,000 | 168,089 | 294,056 | 11 | ||
| Salesgenie salesgenie.com | 4% | 9 | 7 | |||||
| Lusha lusha.com | 2% | 322 | 12,100 | 893 | 52,570 | $11 | 57 | |
| Cleanlist cleanlist.ai | 2% | 99 | 1,900 | 0 | 16,279 | 3 | ||
| CUFinder cufinder.io | 2% | 4 | ||||||
| HubSpot parent site HubSpot Breeze Intelligence 0% | 0% | 221 | 368,000 | 9,776 | ||||
| Hunter hunter.io | 0% | 75 | 201,000 | 280,275 | 152,782 | 6 | ||
| UpLead uplead.com | 0% | 101 | 3,600 | 57 | 15,339 | 7 |
Google's top ten for the two searches hold 17 sites; 4 of them are among the sites the models cited here (demandbase.com, salesgenie.com, salesmotion.io, zapier.com). The first result for “b2b data enrichment tool” is zapier.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best B2B data enrichment tool for a small B2B company?”Paraphrase“Which lead and account enrichment service would you recommend to a small business that sells to other businesses?”Comparative“What are the top B2B data enrichment tools for a small team and how do they differ?”Budget-constrained“What is the best B2B data enrichment tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a B2B data enrichment tool. What should we look at?”Negative“Which B2B data enrichment tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Apollo.ioApollo.ioHeldApollo.ioagainst: ClayApollo.iono first choiceagainst: 6sense, Cognism, HubSpot Breeze Intelligence, Lusha, ZoomInfo
Four alternatives
Adapt, Hunter, Lusha, Snov.ioTwo alternatives
Lusha, Snov.ioTwo alternatives
Datanyze, LushaFour alternatives
Adapt, Cleanlist, Lusha, Snov.ioGPT-5.4 miniApollo.ioagainst: ZoomInfoApollo.ioHeldApollo.ioagainst: ZoomInfoApollo.ioagainst: Cognism, ZoomInfono first choicenothing named
Three alternatives
Clay, HubSpot Breeze Intelligence, HunterOne alternative
HubSpot Breeze IntelligenceSeven alternatives
Clay, Cognism, Dealfront, Echobot, HubSpot Breeze Intelligence, Lusha, People Data LabsThree alternatives
HubSpot Breeze Intelligence, Lusha, Snov.ioGemini 3.5 FlashApollo.io, Clayagainst: Cognism, ZoomInfoApollo.ioChangedagainst: 6sense, ZoomInfoApollo.io, Clayagainst: ZoomInfoApollo.ioagainst: Clay, Cognism, ZoomInfoApollo.ioagainst: ZoomInfoagainst: Apollo.io, Clay, Cognism, Seamless.AI, ZoomInfo
Two alternatives
Lusha, UpLeadThree alternatives
Clay, Lusha, UpLeadThree alternatives
HubSpot Breeze Intelligence, Lusha, UpLeadFour alternatives
Derrick, Enrich, Lusha, Snov.ioFour alternatives
Clay, Cognism, HubSpot Breeze Intelligence, LushaPerplexity SonarApollo.ioApollo.ioHeldApollo.ioagainst: ClayApollo.iono first choiceagainst: Apollo.io, Clay, Cognism, ZoomInfo
Four alternatives
Clay, Cognism, HubSpot Breeze Intelligence, LushaThree alternatives
BookYourData, HubSpot Breeze Intelligence, UpLeadFour alternatives
Hunter, Lusha, Salesgenie, Snov.ioTwo alternatives
BookYourData, SalesgenieGrok 4.1 FastApollo.ioApollo.ioHeldagainst: ZoomInfoApollo.ioagainst: 6sense, HubSpot Breeze Intelligence, ZoomInfoApollo.ioApollo.ioagainst: 6sense, BetterContact, Clay, Cognism, Demandbase, Lead411, SalesIntel, ZoomInfo
Five alternatives
Clay, Cleanlist, Cognism, HubSpot Breeze Intelligence, LushaFour alternatives
HubSpot Breeze Intelligence, Lusha, Snov.io, UpLeadFour alternatives
Clay, Cognism, Lusha, RocketReachThree alternatives
Hunter, RocketReach, Snov.ioTwo alternatives
Cognism, ZoomInfoMistral SmallSalesgenie, Snov.ioApollo.io, LushaChangedagainst: ZoomInfoApollo.io, HubSpot Breeze Intelligence, Lushaagainst: ZoomInfoApollo.iono first choiceagainst: 6sense, Apollo.io, HubSpot Breeze Intelligence, Lusha, ZoomInfo
Two alternatives
BookYourData, ClayOne alternative
HubSpot Breeze IntelligenceTwo alternatives
Clay, CognismTwo alternatives
Hunter, Seamless.AIDeepSeek V4 FlashApollo.ioagainst: ZoomInfoApollo.ioHeldagainst: HubSpot Breeze Intelligence, ZoomInfoApollo.ioagainst: ZoomInfoApollo.ioApollo.io, CUFinder, Cleanlistagainst: ZoomInfoagainst: 6sense, Apollo.io, Clay, Everstring, ZoomInfo
Two alternatives
Lusha, UpLeadThree alternatives
Clay, Lusha, UpLeadFive alternatives
Clay, HubSpot Breeze Intelligence, Lusha, RocketReach, Snov.ioOne alternative
LushaOne alternative
CognismLlama 4 MaverickSalesgenieno first choiceChangedno first choiceSnov.iono first choiceagainst: Apollo.io, BetterContact
Three alternatives
BookYourData, Clay, Snov.ioFour alternatives
Apollo.io, Clay, Hunter, SalesgenieQwen 3.7 FlashClayApollo.ioChangedagainst: ZoomInfoApollo.ioagainst: Cognism, ZoomInfoApollo.ioagainst: Clay, Cognism, ZoomInfoApollo.io, Clay.comagainst: ZoomInfoagainst: HubSpot Breeze Intelligence, ZoomInfo
Three alternatives
Apollo.io, BookYourData, Snov.ioThree alternatives
HubSpot Breeze Intelligence, Hunter, LushaFour alternatives
Clay, HubSpot Breeze Intelligence, Lusha, RocketReachTwo alternatives
Lusha, Snov.ioKimi K2Snov.ioagainst: Cognism, ZoomInfoApollo.ioChangedagainst: HubSpot Breeze Intelligence, ZoomInfoApollo.ioagainst: Cognism, ZoomInfoApollo.ioagainst: HubSpot Breeze IntelligenceApollo.ioagainst: ZoomInfoagainst: Clay, Cognism, Kaspr, ZoomInfo
Four alternatives
Apollo.io, Clay, RocketReach, SyncGTMTwo alternatives
Datanyze, LushaFour alternatives
HubSpot Breeze Intelligence, Hunter, RocketReach, Snov.ioThree alternatives
Dropcontact, Hunter, Snov.ioTwo alternatives
Clay, LushaGLM 4.7 FlashXApollo.ioApollo.ioHeldagainst: ZoomInfoApollo.ioApollo.ioagainst: Lushano first choiceagainst: Apollo.io, ZoomInfo
Three alternatives
Dealfront, Lusha, UpLeadTwo alternatives
HubSpot Breeze Intelligence, LushaSeven alternatives
Clay, Cleanlist, Cognism, HubSpot Breeze Intelligence, RB2B, RocketReach, Snov.ioTwo alternatives
Hunter, Snov.ioMiniMax M2.5Apollo.io, Snov.ioagainst: ZoomInfoApollo.ioChangedagainst: ZoomInfoApollo.ioagainst: ClayApollo.ioagainst: ZoomInfono first choiceagainst: 6sense, Cognism, Demandbase, ZoomInfo
Two alternatives
Clay, LushaTwo alternatives
Cognism, LemlistFour alternatives
Cleanlist, HubSpot Breeze Intelligence, Lusha, Snov.ioTwo alternatives
Seamless.AI, UpLeadGPT-6 LunaApollo.ioApollo.ioHeldApollo.ioApollo.iono first choiceagainst: Apollo.io, HubSpot Breeze's AI Data Agent, Seamless.AI, ZoomInfo
Two alternatives
Clay, HubSpot's built-in data enrichmentOne alternative
ClayFive alternatives
Clay, Dropcontact, HubSpot Breeze Intelligence, Lusha, People Data LabsOne alternative
HubSpot Breeze IntelligenceMuse Glimmer 30BApollo.ioApollo.ioHeldagainst: HubSpot Breeze Intelligence, ZoomInfoApollo.ioApollo.iono first choiceagainst: 6sense, Clay, Cognism, Demandbase, Prospeo, ZoomInfo
Two alternatives
Kaspr, LushaOne alternative
UpLeadFive alternatives
Clay, Cleanlist, Clearbit, now HubSpot Breeze Intelligence, Lusha, RocketReachThree alternatives
Hunter, Lusha, Smartlead with SmartProspectBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:08 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:35 | yes | 3 | 3 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:58 | yes | 17 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:12 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:26 | yes | 23 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:00 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:45 | yes | 23 | 36 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:24 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:01 | yes | 5 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:12 | yes | 10 | 12 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:41 | yes | 23 | 43 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:36 | yes | 13 | 34 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:12 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:57 | yes | 22 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:32 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:12 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:39 | yes | 7 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:25 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:52 | yes | 24 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:33 | yes | 14 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:27 | yes | 21 | 46 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:26 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:02 | no | 0 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:40 | yes | 25 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:18 | yes | 18 | 180 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 14:09 | yes | 15 | 38 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:17 | yes | 2 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:58 | yes | 13 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:57 | yes | 17 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:48 | yes | 4 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:12 | yes | 7 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 18 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:16 | yes | 23 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:17 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:39 | yes | 24 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:58 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:06 | yes | 5 | 22 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:40 | yes | 19 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:02 | yes | 17 | 46 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:25 | yes | 9 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:08 | yes | 8 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:34 | yes | 14 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:02 | yes | 15 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:56 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:48 | yes | 25 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:45 | yes | 19 | 9 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:09 | yes | 24 | 5 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:33 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:48 | yes | 24 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:12 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:20 | yes | 8 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:12 | yes | 14 | 19 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:58 | yes | 20 | 101 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:41 | no | 0 | 11 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:20 | yes | 3 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:12 | yes | 14 | 19 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:22 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:46 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:41 | yes | 8 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:54 | yes | 20 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:51 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:58 | yes | 23 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:16 | yes | 8 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:46 | no | 0 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:33 | yes | 13 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:51 | yes | 17 | 155 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:46 | yes | 5 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:36 | yes | 3 | 25 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:45 | yes | 13 | 16 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:54 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:16 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:17 | yes | 20 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:02 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:41 | yes | 24 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:57 | yes | 15 | 9 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:12 | yes | 25 | 51 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:34 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:49 | yes | 23 | 43 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 14:10 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 14:18 | yes | 22 | 138 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:00 | yes | 17 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:40 | yes | 5 | 32 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:33 | yes | 14 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
HubSpot read as HubSpot Breeze Intelligence
HubSpot Breeze read as HubSpot Breeze Intelligence
HubSpot Breeze (ex-Clearbit) read as HubSpot Breeze Intelligence
Unresolved, counted raw
Clay.com
Clearbit Connect
Enrich
Everstring
HubSpot Breeze's AI Data Agent
HubSpot's built-in data enrichment
Instantly SuperSearch
Scrap.io
Seemos.ai
Smartlead with SmartProspect
Discontinued, still offered
No shut-down product was recommended here.