Data enrichment
Asked as “B2B data enrichment tool”, and as “lead and account enrichment service”, on behalf of a mid-market B2B software company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
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
Show the three products at 0%, ordered by negative rate
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 70% 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. One product carries 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.
ZoomInfo56%
29 of 52 labels negative · 12 of 6 models · 11 hard negative
“The tools I'd most strongly caution against are ... ZoomInfo (expensive + aggressive auto-renewal + stale non-US data)” DeepSeek V4 Flash, negative prompt
Apollo.io19%
12 of 64 labels negative · 11 of 6 models · 4 hard negative
“Tools with Significant Data Quality Issues ... Bounce rates of 20-35% reported by multiple users, even for emails labeled "verified"” MiniMax M2.5, negative prompt
Cognism18%
9 of 50 labels negative · 8 of 6 models · 3 hard negative
“Data quality gaps outside the "Diamond Data" verified subset; Limited US coverage” MiniMax M2.5, negative prompt
Lusha21%
8 of 38 labels negative · 8 of 6 models · 2 hard negative
“**3. Lusha** **Why to avoid:** - **Fined 2 million euros by Italian Data Protection Authority**” Mistral Small, 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
21 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. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 175 links across 62 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 · Snov.io11 answers · 11 citations · 2 models
vendor site · Cleanlist8 answers · 11 citations · 2 models
vendor site · Salesmotion7 answers · 9 citations · 2 models
vendor site · Amplemarket7 answers · 7 citations · 2 models
vendor site · Salesgenie7 answers · 7 citations · 2 models
7 answers · 7 citations · 2 models
vendor site · Demandbase6 answers · 6 citations · 1 model
vendor site · Cognism5 answers · 6 citations · 3 models
5 answers · 5 citations · 2 models
vendor site · Apollo.io4 answers · 6 citations · 1 model
vendor site · ZoomInfo4 answers · 5 citations · 2 models
vendor site · BookYourData4 answers · 4 citations · 1 model
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.
11 answers · 2 models
7 answers · 2 models
7 answers · 2 models
7 answers · 2 models
6 answers · 2 models
6 answers · 1 model
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
4 answers · 1 model
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 data enrichment tool for a mid-market B2B company?”Paraphrase“Which lead and account enrichment service would you recommend to a mid-sized B2B company?”Comparative“What are the top B2B data enrichment tools and how do they differ?”Budget-constrained“What is the best B2B data enrichment tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a B2B data enrichment tool. What should we look at?”Negative“Which B2B data enrichment tools 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
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
Adapt.io
Clearbit/HubSpot-native enrichment
Coresignal
Data Axle (formerly Salesgenie)
DataForB2B
Demandbase Services
Enrich
Gigasheet
PeopleDataLabs
QuickEnrich
SMARTe
Wiza
Discontinued, still offered
No shut-down product was recommended here.