September 2026 Edition, expanded tier · The six flagship models on every category, as published . The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index › GTM › Sales › Intent data · September 2026 Edition

B2B intent data providers

Asked as “B2B intent data provider”, and as “B2B buyer intent data vendor”, on behalf of a mid-market B2B software company. 24 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
25%
Contested · G2 Buyer Intent 25%
25Apollo.io25G2 Buyer Intent17Bombora33others

25% of first choices, contested.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01G2 Buyer Intent25%8%25accepted challengernewNew since September 2026: not ranked then, 25% now.
02Apollo.io25%30%10criticized challengernewNew since September 2026: not ranked then, 25% now.
03Bombora17%18%34accepted challengernewNew since September 2026: not ranked then, 17% now.
046sense8%38%32criticized challengernewNew since September 2026: not ranked then, 8% now.
05Cognism4%7%14accepted challengernewNew since September 2026: not ranked then, 4% now.
06ZoomInfo4%36%22criticized challengernewNew since September 2026: not ranked then, 4% now.
Show the three products at 0%, ordered by negative rate
09Demandbase0%32%28criticized challengernewNew since September 2026: not ranked then, 0% now.
07Dealfront0%0%14accepted challengernewNew since September 2026: not ranked then, 0% now.
08TrustRadius0%0%12accepted challengernewNew since September 2026: not ranked then, 0% now.

The floor is 12 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. 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 fifteen head-to-head pages: the top six products, each against each

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 →
01
02
03
04
05
06
07
08
09
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01G2 Buyer Intent25%
02Apollo.io25%
03Bombora17%
046sense8%
05Cognism4%
06ZoomInfo4%
07Dealfront0%
08TrustRadius0%
09Demandbase0%

What they warned about

One of six models held their first choice under the paraphrase. Claude Opus 5, Claude Opus 4.8, GPT-6 Astra, Gemini 3.1 Pro and Perplexity Sonar Pro 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.
6sense
38%
12 of 32 labels negative · 6 of 6 models · 2 hard negative
“Enterprise platforms like 6sense and Demandbase are designed for larger organizations with bigger budgets.” Claude Opus 4.8, budget prompt
Demandbase
32%
9 of 28 labels negative · 6 of 6 models · 2 hard negative
“Skip the enterprise platforms for now. Enterprise platforms like 6sense and Demandbase are designed for larger organizations” Claude Opus 4.8, budget prompt
Bombora
18%
6 of 34 labels negative · 5 of 6 models · 1 hard negative
“Avoid enterprise platforms like 6sense, Demandbase, and often Bombora if budget is tight” Perplexity Sonar Pro, budget prompt
ZoomInfo
36%
8 of 22 labels negative · 4 of 6 models · 1 hard negative
“Massive privacy lawsuits, aggressive contracts, and data-hostage tactics.” Gemini 3.1 Pro, negative prompt

What they cite

Six of the six models returned a source list in this edition: six return the pages they cited.

Sites the answers cite

32 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 550 links across 186 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.

vendor site · Demandbase18 answers · 23 citations · 5 models
vendor site · Bombora15 answers · 20 citations · 6 models
vendor site · Cognism14 answers · 14 citations · 4 models
vendor site · Percepture14 answers · 14 citations · 3 models
vendor site · Autobound13 answers · 17 citations · 3 models
11 answers · 16 citations · 3 models
vendor site · 6sense10 answers · 11 citations · 4 models
vendor site · ZoomInfo9 answers · 14 citations · 3 models
vendor site · Salesmotion9 answers · 10 citations · 4 models
8 answers · 8 citations · 2 models
7 answers · 10 citations · 2 models
vendor site · MarketBetter7 answers · 9 citations · 3 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.

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 intent data provider”, “best b2b intent data provider”. 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
G2 Buyer Intent g2.com25%1479012,221,1821097
Apollo.io apollo.io25%101033,100396111,60894
Bombora bombora.com17%2513,6008217,60041
Warmly warmly.ai8%744,40080513,9970
6sense 6sense.com8%61849,500316108,788$1,2091203
Cognism cognism.com4%3493,6006848,685155
RB2B rb2b.com4%1224,400435,3728
ZoomInfo zoominfo.com4%542135,0001,8106,376,738$1,1401202
Factors.ai factors.ai4%5459018,319318
Dealfront leadfeeder.com0%170590918,4473

Google's top ten for the two searches hold 12 sites; 6 of them are among the sites the models cited here (6sense.com, bombora.com, cognism.com, demandbase.com, g2.com, pipeline.zoominfo.com). The first result for “b2b intent data provider” is bombora.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.
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ModelDirect“What is the best B2B intent data provider for a mid-market B2B software company?”Paraphrase“Which B2B buyer intent data vendor would you recommend to a mid-sized B2B software company?”Comparative“What are the top B2B intent data providers and how do they differ?”Budget-constrained“What is the best B2B intent data provider for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a B2B intent data provider. What should we look at?”Negative“Which B2B intent data providers should I avoid or be cautious about?”
Claude Opus 5Factors.ai, G2 Buyer Intent, Warmly
One alternativeBombora
against: 6sense, Demandbase
G2 Buyer IntentChanged
Five alternativesBombora, Dealfront, HG Insights, RB2B, Warmly
against: 6sense, Demandbase
Bombora
Eight alternativesCognism, Dealfront, G2 Buyer Intent, Intentsify, RB2B, TechTarget Priority Engine, TrustRadius, Warmly
against: 6sense, Apollo.io, Lusha
RB2B, Warmly
Four alternativesBombora, Clay, Cognism, G2 Buyer Intent
against: 6sense, Demandbase, ZoomInfo
no first choiceagainst: Bombora, Seamless.AI, ZoomInfo
Claude Opus 4.86sense, ZoomInfo
Four alternativesBombora, Cognism, Demandbase, G2 Buyer Intent
BomboraChanged
Three alternatives6sense, Demandbase, G2 Buyer Intent
against: ZoomInfo
Bombora
Five alternatives6sense, Demandbase, G2 Buyer Intent, TechTarget Priority Engine, ZoomInfo
Apollo.io
Three alternativesDealfront, RB2B, Saleshandy Lead Finder
against: 6sense, Cognism, Demandbase, ZoomInfo
no first choicenothing named
GPT-6 AstraG2 Buyer Intent
Three alternatives6sense, Bombora, Demandbase
BomboraChanged
Two alternatives6sense, G2 Buyer Intent
Bombora
Seven alternatives6sense, Demandbase, G2 Buyer Intent, Intentsify, TechTarget Priority Engine, TrustRadius, ZoomInfo
Apollo.io
Two alternativesBombora, Dealfront
no first choiceagainst: 6sense, Apollo.io, Bombora, Demandbase, G2 Buyer Intent
GPT-5.6 SolG2 Buyer Intent
Three alternatives6sense, Bombora, Demandbase
G2 Buyer IntentHeld
Four alternatives6sense, Bombora, Demandbase, TechTarget Priority Engine
against: ZoomInfo
6sense, Bombora, Demandbase
Four alternativesG2 Buyer Intent, Intentsify, TechTarget Priority Engine, ZoomInfo
Apollo.io
Two alternativesDealfront, RB2B
against: 6sense, Bombora, Demandbase
no first choiceagainst: 6sense, Bombora, Demandbase, G2 Buyer Intent, Lead Forensics, RB2B, TechTarget Priority Engine
Gemini 3.1 ProCognism
Three alternativesBombora, Dealfront, G2 Buyer Intent
against: 6sense, ZoomInfo
Apollo.io, G2 Buyer IntentChanged
Three alternativesBombora, Dealfront, ZoomInfo
against: 6sense
Bombora
Nine alternatives6sense, Apollo.io, Cognism, Demandbase, G2 Buyer Intent, Lift AI, RB2B, Warmly, ZoomInfo
Apollo.io
Three alternativesDealfront, Lead411, UpLead
against: 6sense, Bombora, Demandbase, ZoomInfo
no first choiceagainst: Apollo.io, Exact Data, Seamless.AI, ZoomInfo
Perplexity Sonar Pro6sense, Bombora
Three alternativesDealfront, Demandbase, G2 Buyer Intent
BomboraChanged
Four alternatives6sense, Cognism, G2 Buyer Intent, ZoomInfo
Bombora
Eight alternatives6sense, Cognism, Dealfront, Demandbase, G2 Buyer Intent, TechTarget Priority Engine, TrustRadius, ZoomInfo
Apollo.io
Two alternativesDealfront, Lead Onion
against: 6sense, Bombora, Demandbase
no first choicenothing named
Bold 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.
Thirty-six rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Opus 5claude-opus-52026-09-08 15:30yes2350 s
Direct recommendationClaude Opus 4.8claude-opus-4-82026-09-08 15:30no022 s
Direct recommendationGPT-6 Astragpt-6-astra2026-09-08 15:32yes536 s
Direct recommendationGPT-5.6 Solgpt-5.6-sol2026-09-08 15:33yes748 s
Direct recommendationGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:32yes1051 s
Direct recommendationPerplexity Sonar Prosonar-pro2026-09-08 15:31yes2011 s
ParaphraseClaude Opus 5claude-opus-52026-09-08 15:34yes2158 s
ParaphraseClaude Opus 4.8claude-opus-4-82026-09-08 15:35yes2454 s
ParaphraseGPT-6 Astragpt-6-astra2026-09-08 15:36yes431 s
ParaphraseGPT-5.6 Solgpt-5.6-sol2026-09-08 15:37yes644 s
ParaphraseGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:36no026 s
ParaphrasePerplexity Sonar Prosonar-pro2026-09-08 15:35yes2011 s
ComparativeClaude Opus 5claude-opus-52026-09-08 15:39yes4571 s
ComparativeClaude Opus 4.8claude-opus-4-82026-09-08 15:40yes2165 s
ComparativeGPT-6 Astragpt-6-astra2026-09-08 15:42yes1068 s
ComparativeGPT-5.6 Solgpt-5.6-sol2026-09-08 15:44yes10102 s
ComparativeGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:41yes1047 s
ComparativePerplexity Sonar Prosonar-pro2026-09-08 15:40yes2011 s
Budget constrainedClaude Opus 5claude-opus-52026-09-08 15:45yes4152 s
Budget constrainedClaude Opus 4.8claude-opus-4-82026-09-08 15:47yes38143 s
Budget constrainedGPT-6 Astragpt-6-astra2026-09-08 15:49yes531 s
Budget constrainedGPT-5.6 Solgpt-5.6-sol2026-09-08 15:49yes335 s
Budget constrainedGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:48yes640 s
Budget constrainedPerplexity Sonar Prosonar-pro2026-09-08 15:47yes209 s
Scale constrainedClaude Opus 5claude-opus-52026-09-08 15:51yes2670 s
Scale constrainedClaude Opus 4.8claude-opus-4-82026-09-08 15:51no037 s
Scale constrainedGPT-6 Astragpt-6-astra2026-09-08 15:53yes453 s
Scale constrainedGPT-5.6 Solgpt-5.6-sol2026-09-08 15:54yes783 s
Scale constrainedGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:52no034 s
Scale constrainedPerplexity Sonar Prosonar-pro2026-09-08 15:51yes1813 s
Negative framingClaude Opus 5claude-opus-52026-09-08 15:56yes4278 s
Negative framingClaude Opus 4.8claude-opus-4-82026-09-08 15:57yes3468 s
Negative framingGPT-6 Astragpt-6-astra2026-09-08 16:00yes551 s
Negative framingGPT-5.6 Solgpt-5.6-sol2026-09-08 16:01yes767 s
Negative framingGemini 3.1 Progemini-3.1-pro-preview2026-09-08 15:59yes1887 s
Negative framingPerplexity Sonar Prosonar-pro2026-09-08 15:57yes2014 s

Noise floor in this category

Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.

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Claude Opus 5
3 of 4 flipped
Claude Opus 4.8
2 of 4 flipped
GPT-6 Astra
2 of 4 flipped
GPT-5.6 Sol
2 of 4 flipped
Gemini 3.1 Pro
3 of 5 flipped
Perplexity Sonar Pro
1 of 4 flipped

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
Saleshandy read as Saleshandy Lead Finder
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.
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