GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index Sales September 2026 Edition

Sales intelligence and contact data

Asked as “B2B contact data and sales intelligence platform”, and as “B2B prospecting database”, on behalf of a mid-market B2B software company. 42 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Clear leader
76% of first choices, clear leader.

01The 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 rateLabelsQuadrant
01Apollo.io76%16%67endorsed leader
02ZoomInfo17%44%61criticized challenger
03UpLead5%3%33accepted challenger
04Cognism2%12%48accepted challenger
Show the nine products at 0%, ordered by negative rate
13Seamless.AI0%53%19criticized challenger
106sense0%25%20criticized challenger
05Lusha0%21%48accepted challenger
12Demandbase0%18%11accepted challenger
06Clay0%0%14accepted challenger
07LinkedIn Sales Navigator0%0%14accepted challenger
08Salesmotion0%0%13accepted challenger
09Hunter0%0%12accepted challenger
11HubSpot Breeze Intelligence0%0%10accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

One product takes 76% of first choices here, so the chart would put twelve 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. Jump to the standing

02What they warned about

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.
ZoomInfo
44%
27 of 61 labels negative · 11 of 6 models · 6 hard negative
“What to avoid on a tight budget - ZoomInfo, Cognism, 6sense, Demandbase — enterprise tools with opaque pricing” DeepSeek V4 Flash, budget prompt
Apollo.io
16%
11 of 67 labels negative · 11 of 6 models · 3 hard negative
“Apollo’s "single-source" database approach often leads to high bounce rates... shares the same "scraping controversy" as Seamless.ai” Qwen 3.7 Flash, negative prompt
Lusha
21%
10 of 48 labels negative · 9 of 6 models · 2 hard negative
“Has the lowest rating on Trustpilot of 1.3/5. Users report accuracy has declined, particularly for phone numbers” Claude Haiku 4.5, negative prompt
Seamless.AI
53%
10 of 19 labels negative · 8 of 6 models · 7 hard negative
“Despite claiming 98% accuracy, independent community analysis and G2 reviews consistently place their actual email accuracy closer to 60–75%” Qwen 3.7 Flash, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

20 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 184 links across 86 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

vendor site · ZoomInfo8 answers · 15 citations · 2 models
vendor site · Salesmotion7 answers · 9 citations · 2 models
vendor site · Amplemarket6 answers · 6 citations · 2 models
vendor site · Autobound5 answers · 6 citations · 2 models
vendor site · Monday.com5 answers · 6 citations · 2 models
vendor site · Salesgenie5 answers · 5 citations · 2 models
vendor site · Cognism4 answers · 7 citations · 2 models
vendor site · Saleshandy4 answers · 6 citations · 2 models
vendor site · Demandbase4 answers · 5 citations · 1 model
vendor site · Lusha3 answers · 7 citations · 2 models
vendor site · Apollo.io3 answers · 4 citations · 2 models
3 answers · 3 citations · 2 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.

04How 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.
ModelDirect“What is the best B2B contact data and sales intelligence platform for a mid-market B2B company?”Paraphrase“Which B2B prospecting database would you recommend to a mid-sized B2B company?”Comparative“What are the top sales intelligence and contact data platforms and how do they differ?”Budget-constrained“What is the best B2B contact data and sales intelligence platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a B2B contact data and sales intelligence platform. What should we look at?”Negative“Which sales intelligence and contact data platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The 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
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

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.

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
Leadsimple
Proxycurl
Salesforce
Discontinued, still offered
No shut-down product was recommended here.
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