Data management platforms for small business buyers
Asked as “data management platform for audiences”, and as “DMP”, 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
28%
Contested · HubSpot Marketing Hub 23%
28Segment23HubSpot Marketing Hub09Apollo.io40others
28% of first choices, contested.
Since September 2026▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.Segment held the lead, +14 points on 16%, past the 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
Segment28%Contested▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageMid-marketSegment37%Contested▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Enterprise
Salesforce Data Cloud21%Contested▲+3Since September 2026: 20% → 23%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
Segment28%Contested▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageMid-marketSegment37%Contested▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseSalesforce Data Cloud21%Contested▲+3Since September 2026: 20% → 23%, +3 points. Inside the 11-point floor: within noise. 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
01Segment28%3%36accepted challenger▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.16% → 30%
Segment28%3%36accepted challenger▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.16% → 30%02
HubSpot Marketing Hub23%0%26accepted challenger▲+3Since September 2026: 14% → 17%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 17%
HubSpot Marketing Hub23%0%26accepted challenger▲+3Since September 2026: 14% → 17%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 17%03
RudderStack6%5%20accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
RudderStack6%5%20accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%04
Hightouch4%8%12accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Hightouch4%8%12accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%05
ZoomInfo2%27%11criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
ZoomInfo2%27%11criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%06Salesforce Data Cloud2%74%23criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Salesforce Data Cloud2%74%23criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the seven products at 0%, ordered by negative rate
13
Adobe Audience Manager0%83%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Audience Manager0%83%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%12
Adobe Real-Time CDP0%82%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Real-Time CDP0%82%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Amazon Redshift0%60%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Amazon Redshift0%60%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%11
Lotame Spherical0%55%11criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Lotame Spherical0%55%11criticized 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
Snowflake0%31%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Snowflake0%31%16criticized 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
BigQuery Lab in the set0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
BigQuery Lab in the set0%20%10accepted 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
Airtable0%0%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Airtable0%0%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 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.
BigQuery is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All fifteen head-to-head pages: the top six products, each against each
Segment vs Salesforce Data CloudSegment vs Lotame SphericalHightouch vs BlueConicHightouch vs Tealium Customer Data HubHightouch vs Salesforce Data CloudHightouch vs Lotame SphericalBlueConic vs Tealium Customer Data HubBlueConic vs Salesforce Data CloudBlueConic vs Lotame SphericalTealium Customer Data Hub vs Salesforce Data CloudTealium Customer Data Hub vs Lotame SphericalSalesforce Data Cloud vs Lotame Spherical
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Segment28%
Segment28%02HubSpot Marketing Hub23%
HubSpot Marketing Hub23%03RudderStack6%
RudderStack6%04Hightouch4%
Hightouch4%05ZoomInfo2%
ZoomInfo2%06Salesforce Data Cloud2%
Salesforce Data Cloud2%07Airtable0%
Airtable0%08Snowflake0%
Snowflake0%09BigQuery0%
BigQuery0%10Amazon Redshift0%
Amazon Redshift0%11Lotame Spherical0%
Lotame Spherical0%12Adobe Real-Time CDP0%
Adobe Real-Time CDP0%13Adobe Audience Manager0%
Adobe Audience Manager0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B 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.
Salesforce Data Cloud74%
17 of 23 labels negative · 11 of 14 models · 12 hard negative
“as well as enterprise platforms like Salesforce Data Cloud, as they may not provide a good return on investment for small teams” Llama 4 Maverick, negative prompt
Adobe Audience Manager83%
19 of 23 labels negative · 10 of 14 models · 14 hard negative
“you should almost certainly avoid a traditional DMP (Data Management Platform).** Traditional DMPs (like Adobe Audience Manager or Salesforce Audience Studio) were built for large enterprises” Gemini 3.5 Flash, paraphrase prompt
Collibra100%
8 of 8 labels negative · 8 of 14 models · 7 hard negative
“Platforms like Collibra, Informatica IDMC, Alation, Salesforce Data Cloud, Adobe, and mParticle are designed for large organizations” Mistral Small, negative prompt
Alation100%
7 of 7 labels negative · 7 of 14 models · 6 hard negative
“Frequently criticized as "shelfware" for small teams due to excessive stewardship overhead and minimal ROI” Grok 4.1 Fast, 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
80 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. 1181 links across 321 sites, every framing counted. Ranked by the number of answers carrying the site or page. 26 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
43 answers · 73 citations · 13 models
30 answers · 54 citations · 10 models
27 answers · 38 citations · 11 models
24 answers · 24 citations · 10 models
vendor site · HubSpot20 answers · 20 citations · 8 models
19 answers · 19 citations · 10 models
vendor site · Improvado18 answers · 29 citations · 12 models
vendor site · ZoomInfo18 answers · 27 citations · 10 models
16 answers · 17 citations · 9 models
vendor site · Brevo16 answers · 16 citations · 7 models
vendor site · ClicData16 answers · 16 citations · 8 models
15 answers · 16 citations · 7 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.
28 answers · 12 models
24 answers · 10 models
23 answers · 10 models
19 answers · 10 models
17 answers · 8 models
16 answers · 7 models
16 answers · 8 models
15 answers · 9 models
13 answers · 10 models
12 answers · 9 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 “best data management platform for audiences”, “data management platform for audiences”. 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 | Google ads, last 30 days |
|---|---|---|---|---|---|---|
| Twilio segment.com Segment 28% | 28% | 408 | 135,000 | 4,343 | 9,086 | 0 |
| HubSpot parent site HubSpot Marketing Hub 23%, HubSpot CRM 4%, HubSpot Customer Platform 2% | 28% | 934 | 368,000 | 9,776 | ||
| Apollo.io apollo.io | 9% | 1000 | 33,100 | 396 | 111,608 | 94 |
| RudderStack rudderstack.com | 6% | 125 | 1,900 | 42 | 46,132 | 50 |
| Google analytics.google.com Google Analytics 4 6% | 6% | 474 | 9,900 | 348 | ||
| Hightouch hightouch.com | 4% | 363 | 12,100 | 434 | 127,772 | 23 |
| Panoply | 4% | 14,800 | 193 | |||
| Audience Center 360 | 2% | |||||
| Versium REACH | 2% | |||||
| ClicData clicdata.com | 2% | 5 |
Google's top ten for the two searches hold 15 sites; 2 of them are among the sites the models cited here (blog.hubspot.com, cdp.com). The first result for “best data management platform for audiences” is acquia.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 data management platform for audiences for a small B2B company?”Paraphrase“Which DMP would you recommend to a small business that sells to other businesses?”Comparative“What are the top data management platforms for a small team and how do they differ?”Budget-constrained“What is the best data management platform for audiences for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a data management platform for audiences. What should we look at?”Negative“Which data management platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Apollo.iono first choiceChangedSnowflakeClicDatano first choiceagainst: Amazon Redshift, Domo, Informatica Intelligent Data Management Cloud, Salesforce Data Cloud
Three alternatives
Amplemarket, BookYourData, LushaFour alternatives
Databricks Lakehouse, Hevo, Profisee, SegmentFour alternatives
Apache Atlas, Audience Center 360, UniSignIn, dbtGPT-5.4 miniHubSpot Marketing Hub, SegmentSalesforce Data CloudChangedagainst: Adobe Audience ManagerBigQuery, SnowflakeRudderStackno first choiceagainst: Salesforce Data Mask
Three alternatives
6sense, Demandbase, RudderStackOne alternative
Adobe Real-Time CDPEight alternatives
Airbyte, Amazon Redshift, Databricks Lakehouse, Fivetran, Looker, Microsoft Fabric, Microsoft Power BI, dbtOne alternative
SegmentGemini 3.5 FlashApollo.ioagainst: Adobe Audience Manager, Salesforce Audience StudioApollo.ioHeldagainst: Adobe Audience Manager, Salesforce Audience Studio, ZoomInfoAirtable, MotherDuckagainst: BigQuery, SnowflakeHightouchagainst: Adobe Audience Manager, Lotame Spherical, SegmentHightouch, RudderStackagainst: Adobe Real-Time CDP, Salesforce Data Cloudagainst: ActionIQ, Adobe Audience Manager, Adobe Real-Time CDP, Alation, BigID, Collibra, DataGrail, Informatica Intelligent Data Management Cloud, OneTrust, Oracle BlueKai, Salesforce Audience Studio, Talend, Tealium Customer Data Hub, Treasure Data
Four alternatives
6sense, Hightouch, HubSpot Marketing Hub, LushaSix alternatives
Attio, Hightouch, HubSpot Marketing Hub, Segment, UpLead, folkFour alternatives
Baserow, Hightouch, Segment, SupabaseEight alternatives
BigQuery, Brevo, Census, Google Analytics 4, HubSpot Marketing Hub, Jitsu, PostHog, RudderStackFour alternatives
Census, HubSpot Marketing Hub, Lytics, ZeotapPerplexity SonarSegmentEyeotaChangedAirtable, ClicDataagainst: DomoPanoplyagainst: Salesforce Data Cloudno first choiceagainst: Amazon Redshift, Collibra, IBM InfoSphere, SAP Datasphere, Salesforce Data Cloud, Snowflake
Three alternatives
Hightouch, Salesforce Data Cloud, ZoomInfoTwo alternatives
Google's DMP / Google Marketing Platform, Salesforce Data CloudFive alternatives
Hevo, Microsoft Power BI, Salesforce Data Cloud, Skyvia, TableauOne alternative
ClickUpGrok 4.1 FastSegmentagainst: Adobe Real-Time CDP, Salesforce Data Cloud, ZoomInfoSegmentHeldAirbyteSegmentagainst: Snowplow, mParticleno first choiceagainst: Adobe Audience Manager, Alation, Braze, Collibra, IBM InfoSphere, Informatica Intelligent Data Management Cloud, Oracle BlueKai, Salesforce Audience Studio, Salesforce Data Cloud, mParticle
Two alternatives
HubSpot Marketing Hub, RudderStackThree alternatives
Leadspace, Tealium Customer Data Hub, mParticleFive alternatives
BigQuery, Fivetran, Hevo, Snowflake, StitchOne alternative
RudderStackFive alternatives
Adobe Audience Manager, BlueKai, Lotame Spherical, Segment, Tealium Customer Data HubMistral SmallVersium REACH, ZoomInfoagainst: Adobe Audience ManagerHubSpot Marketing HubChangedQuickbaseGoogle Analytics 4, HubSpot Marketing Hubno first choiceagainst: Adobe Real-Time CDP, Salesforce Data Cloud, Tealium Customer Data Hubagainst: Adobe Real-Time CDP, Alation, Collibra, IBM InfoSphere, Informatica Intelligent Data Management Cloud, Salesforce Data Cloud, Snowflake, mParticle
Two alternatives
Audience Center 360, Google Audience ToolsThree alternatives
Leadspace, Salesforce Marketing Cloud Account Engagement, ZoomInfoThree alternatives
Airtable, Lark, NotionTwo alternatives
Databox, Zoho CRMDeepSeek V4 FlashHubSpot Customer Platform, Segmentagainst: Adobe Real-Time CDP, Salesforce Data Cloud, mParticleHubSpot Marketing HubChangedagainst: Adobe Audience Manager, Klaviyo, Lotame Spherical, Salesforce Audience StudioAirtableagainst: SnowflakeSegmentagainst: Adobe Real-Time CDP, Amperity, Oracle BlueKai, Salesforce Data Cloud, Tealium Customer Data HubSegmentagainst: Adobe Audience Manager, Alation, Amazon Redshift, Collibra, Databricks Lakehouse, IBM InfoSphere, Oracle Data Management, Salesforce Data Cloud
Two alternatives
Hightouch, RudderStackTwo alternatives
Hightouch, SegmentFour alternatives
Baserow, Fivetran, NocoDB, NotionThree alternatives
Google Analytics 4, Klaviyo, RudderStackSix alternatives
Bloomreach, Hightouch, Klaviyo, Nvecta, RudderStack, mParticleLlama 4 MaverickAudience Center 360no first choiceChangedno first choicePanoplyagainst: Adobe Audience Manager, Domo, Lotame Spherical, Permutive, ZoomInfono first choiceagainst: Alation, Collibra, Informatica Intelligent Data Management Cloud, Salesforce Data Cloud
Three alternatives
Adobe Real-Time CDP, Panoply, ZoomInfoTwo alternatives
Audience Center 360, Google Audience CenterQwen 3.7 FlashSegmentHubSpot Marketing HubChangedagainst: Adobe Real-Time CDPPanoplyGoogle Analytics 4 (GA4) Audiencesagainst: Adobe Audience ManagerHubSpot Marketing Hubagainst: Hadoop, IBM InfoSphere, Informatica MDM, Oracle Identity Cloud Service, SAP Master Data Governance, SQL Server
Three alternatives
HubSpot Breeze Intelligence, HubSpot Marketing Hub, RudderStackFour alternatives
Databox, LinkedIn Campaign Manager, Microsoft Advertising, Simpli.fiEleven alternatives
Airbyte, BigQuery, Databox, Fivetran, Hevo, Looker Studio, Metabase, RudderStack, Segment, Snowflake, dbtSix alternatives
Brevo, Hightouch, HubSpot Marketing Hub, Mailchimp, Nvecta, SegmentFour alternatives
Klaviyo, PostgreSQL, RudderStack, SegmentKimi K2Apollo.ioagainst: Adobe Audience Manager, Oracle Data CloudSegmentChangedagainst: Adobe Audience Manager, Oracle BlueKaiAirtable, Notionagainst: RetoolHubSpot Marketing Hubagainst: Adobe Audience Manager, OnAudienceSegmentagainst: Adobe Audience Manageragainst: Amazon Redshift, Informatica Intelligent Data Management Cloud, Salesforce Data Cloud
Four alternatives
HubSpot Marketing Hub, Lusha, Segment, Versium REACHThree alternatives
HubSpot Marketing Hub, Klaviyo, RudderStackThree alternatives
Baserow, Monday.com, NocoDBTwo alternatives
RudderStack, SegmentFour alternatives
Brevo, Capsule CRM, HubSpot's, Lotame SphericalGLM 4.7 FlashXSegmentagainst: Salesforce Data CloudApollo.ioChangedAirtableHubSpot CRMno first choiceagainst: Alation, Amazon Redshift, Apache NiFi, BigQuery, Collibra, Databricks Lakehouse, Dell Boomi, Domo, Egnyte, IBM Db2, IBM InfoSphere, Microsoft Power BI, Microsoft SQL Server SSIS, Oracle BlueKai, Quickbase, SAP Datasphere, SAP Master Data Governance, Talend
Three alternatives
Apollo.io, HubSpot Marketing Hub, RudderStackTwo alternatives
AdRoll ABM, CognismFour alternatives
ClickUp, Monday.com, Notion, SupabaseSix alternatives
Brevo, ClickUp, Mailchimp, RudderStack, Segment, SurveyMonkeyMiniMax M2.5Segmentagainst: Salesforce Data CloudGoogle Analytics 4, HubSpot Marketing HubChangedPanoplyagainst: FivetranGoogle Analytics 4, HubSpot CRMagainst: Adobe Audience Manager, Lotame Spherical, Oracle Data CloudSegmentagainst: Adobe Audience Manageragainst: Adobe Real-Time CDP, Alation, Amazon Redshift, Braze, Collibra, Domo, Informatica Intelligent Data Management Cloud, Microsoft SQL Server SSIS, Salesforce Data Cloud, mParticle
Three alternatives
BlueConic, Brevo, HubSpot Marketing HubTwo alternatives
OnAudience, SegmentSix alternatives
Airtable, DBeaver Community, FineBI, Monday.com, Snowflake, StitchThree alternatives
Audience Center 360, Versium REACH, Zoho CRMThree alternatives
LiveRamp, Lotame Spherical, RudderStackGPT-6 LunaHubSpot Marketing HubHubSpot Marketing HubHeldAirtableHubSpot Marketing Hubagainst: RudderStackno first choiceagainst: Google Workspace, Microsoft 365
Two alternatives
LinkedIn Matched Audiences, SegmentTwo alternatives
Adobe Audience Manager, SegmentFour alternatives
Coda, Microsoft Lists, Notion, SmartsheetTwo alternatives
Google Customer Match, KlaviyoMuse Glimmer 30BBlueConic, SegmentHubSpot Marketing HubChangedagainst: Adobe Audience Manager, Lotame SphericalAirtable, Softr Databasesagainst: HightouchRudderStackno first choiceagainst: Adobe Audience Manager, Lotame Spherical, Salesforce Data Cloud, Snowflake, self-hosted PostgreSQL
Four alternatives
HubSpot CDP, HubSpot Customer Platform, Versium REACH, ZoomInfoOne alternative
SegmentEight alternatives
BigQuery, Estuary, Fivetran, Notion, RudderStack, Snowflake, Supabase, dbtSix alternatives
Amazon Redshift, Apache Atlas, BigQuery, Brevo, Klaviyo, dbtBold 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 08:52 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:52 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 14 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:09 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:39 | yes | 24 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:48 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:30 | yes | 22 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:14 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:46 | yes | 21 | 75 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:55 | yes | 25 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:40 | yes | 21 | 42 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:15 | yes | 14 | 47 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:16 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:05 | yes | 14 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:46 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:55 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:12 | yes | 13 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:31 | yes | 16 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:33 | yes | 18 | 13 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:43 | yes | 10 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 22 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:57 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:22 | yes | 19 | 90 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:55 | yes | 24 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:55 | yes | 25 | 26 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:05 | yes | 5 | 24 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:31 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:53 | yes | 22 | 35 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:38 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:28 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:03 | yes | 21 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:48 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:13 | yes | 23 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:14 | yes | 17 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:05 | yes | 25 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:18 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:44 | yes | 11 | 57 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:35 | yes | 15 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:29 | yes | 22 | 28 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:46 | yes | 10 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:34 | yes | 5 | 14 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:03 | yes | 23 | 55 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:40 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:49 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:35 | yes | 26 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:30 | yes | 25 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:12 | yes | 25 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:43 | yes | 13 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:50 | yes | 22 | 34 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:14 | yes | 9 | 32 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:53 | yes | 22 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:34 | yes | 24 | 54 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:22 | yes | 20 | 50 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:17 | yes | 4 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:32 | yes | 24 | 28 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:03 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:14 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:34 | yes | 10 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:32 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:42 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:34 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:04 | yes | 24 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:20 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:57 | yes | 15 | 72 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:26 | yes | 24 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:03 | yes | 14 | 12 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | yes | 5 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:29 | yes | 2 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:17 | yes | 14 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:18 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:44 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:06 | yes | 10 | 23 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:03 | yes | 23 | 6 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 22 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:27 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:39 | yes | 20 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:51 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:43 | yes | 10 | 43 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:16 | yes | 23 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:39 | yes | 13 | 73 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:01 | yes | 17 | 27 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:28 | yes | 4 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:34 | yes | 22 | 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
Adobe read as Adobe Real-Time CDP
Databricks read as Databricks Lakehouse
HubSpot read as HubSpot Marketing Hub
HubSpot (CRM Suite) read as HubSpot Marketing Hub
HubSpot (Free CRM) read as HubSpot Marketing Hub
HubSpot (Lite) read as HubSpot Marketing Hub
HubSpot (with Breeze Intelligence) read as HubSpot Marketing Hub
HubSpot (with Breeze Intelligence/Clearbit) read as HubSpot Marketing Hub
HubSpot (with Data Management Hub) read as HubSpot Marketing Hub
Informatica read as Informatica Intelligent Data Management Cloud
Informatica IDMC read as Informatica Intelligent Data Management Cloud
Lotame read as Lotame Spherical
Lotame Spherical Platform read as Lotame Spherical
Oracle read as Oracle BlueKai
Salesforce read as Salesforce Audience Studio
Salesforce (Einstein Data Cloud) read as Salesforce Audience Studio
Tealium read as Tealium Customer Data Hub
Tealium AudienceStream read as Tealium Customer Data Hub
Unresolved, counted raw
Arcsight Logger
AudienceProject
Backblaze/Carbonite
BlueKai
DBeaver Community
Egnyte
Eyeota
Google Analytics 4 (GA4) Audiences
Google Audience Tools
Google Customer Match
Google's DMP / Google Marketing Platform
Hadoop
HubSpot's
LinkedIn Matched Audiences
Microsoft Lists
OneDrive for Business
Oracle Data Management (including Oracle DMP/BlueKai)
Oracle Identity Cloud Service
SQL Server
Salesforce Data Mask
Snowflake Horizon
Stitch Labs
Treasuredata
UniSignIn
Weborama
Zoho
self-hosted PostgreSQL
Discontinued, still offered
No shut-down product was recommended here.