Index › GTM › Products › Datablist · November 2026 Edition
CRM data quality and deduplication · Named, not ranked

Datablist

Datablist is a tool for CRM data quality and deduplication · datablist.com ↗

–Too few to rank
6/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inCRM data quality and deduplication #26 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Datablist has 4.

Why models recommend it

“Datablist is also a solid, very affordable option for basic deduplication”Mistral Small · Budget-constrained question · alternative
“Datablist (Best for Staging & CSV Cleanups)”Gemini 3.5 Flash · Budget-constrained question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Datablist, over the 11 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Datablist's own site, not checked by Gane.

For
Everyone who needs to interact with data - from beginners to power users.
Price stated
Free Forever; Starter $25; Growth $50
Starting price
0
Free plan or trial
Free Forever
Integrations
50
Certifications
GDPR
Visit datablist.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Datablist came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 11 of the 11 answers that named Datablist and are not a share of its labels.

Domains cited

datablist.comIts own site11
g2.com9
prospeo.io7
sourceforge.net5
coffee.ai3
databar.ai3
dedupe.ly3
gane.ai/indexpublisher (Gane)3
insycle.com3
linkfinderai.com3

Thirty-six of the fifty domain citations in answers naming Datablist came from a third party's page. Three were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Datablist across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.2000000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101

What it publishes

Addresses on datablist.com
2,463
subdomains included
Content
136
counted in the table below
Documentation
75
Product · Integration
32 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Glossary or explainer9002025-09-21Enrichment
Template or tool16undated
Comparison1412026-07-10
Blog902022-12-14
Case study602025-05-25
Report or ebook102022-02-24

Most recent

How it is countedHide how it is counted

Every page datablist.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read October 5, 2026.