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

Melissa Clean Suite

Melissa Clean Suite is a CRM data quality product from Melissa that cleans and deduplicates customer records · melissa.com ↗

–Too few to rank
9/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inCRM data quality and deduplication #22 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. Melissa Clean Suite has 6.

Why models recommend it

“Global address/email/phone verification | Melissa Clean Suite”GLM 4.7 FlashX · Comparative question · alternative
“commonly used for address, phone, and contact validation”GPT-5.4 mini · Comparative question · alternative
“Useful when bad contact information is the main issue”GPT-6 Luna · Comparative question · alternative
“Best For: Address/contact-heavy use cases”Grok 4.20 · Comparative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Melissa Clean Suite, over the 17 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 Melissa Clean Suite's own site, not checked by Gane.

For
Salesforce / Dynamics CRM
Free plan or trial
Free Trial Available.
Certifications
USPS CASS, GDPR, CCPA, SOC 2, HIPAA, HITRUST
Customers named
Siemens
Headquarters
Rancho Santa Margarita, United States
Founded
1985
Visit melissa.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 Melissa Clean Suite 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 17 of the 17 answers that named Melissa Clean Suite and are not a share of its labels.

Domains cited

g2.com13
gane.ai/indexpublisher (Gane)7
techrepublic.com7
therevopsreport.com6
capterra.com5
findymail.com5
gitnux.org5
integrate.io5
cognism.com4
insycle.com4

Fifty-four of the sixty-one domain citations in answers naming Melissa Clean Suite came from a third party's page. Seven 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 Melissa Clean Suite 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 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2001001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna01001
Muse Glimmer 30B00101

What it publishes

Addresses on melissa.com
3,982
subdomains included
Content
1,474
counted in the table below
Documentation
937
Product · Integration
0 · 17
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog1,021undatedCRM, Email verification
Report or ebook166undated
Glossary or explainer7332026-08-06
Podcast or video6902026-03-10
Case study43undated
News or press2902026-03-27
Webinar or virtual event2522026-07-29Email verification, Enrichment
Conference or event2202025-12-04
Template or tool16undated
Comparison1002025-02-11CDP

Most recent

Events in person

The twelve months before October 5, 2026

As the event pages on melissa.com state them, read October 5, 2026.

How it is countedHide how it is counted

Every page melissa.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. Of its titles that name a category, most name CRM (14); 0 name the category the models place it in. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.