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GTM AI Index
Index › Products › Melissa · October 2026 Edition
1 category · Ranked

Melissa

110Judge labels
13First choices
8Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
13% in Address verification for enterprise buyers
Rank 3 of 108 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 5% of its 39 labels there were negative.
What the models named instead of Melissa →
By buyer segmentRead the same way at every buyer size.
In address verification · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Melissa for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Address verification toolsGTM data and infrastructure8%3 of 1085%39accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Melissa yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Melissa across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini03003
Gemini 3.5 Flash04004
Perplexity Sonar12003
Grok 4.2002114
Mistral Small00101
DeepSeek V4 Flash04105
Llama 4 Maverick10102
Qwen 3.7 Flash12014
Kimi K201102
GLM 4.7 FlashX11002
MiniMax M2.512104
GPT-6 Luna02002
Muse Glimmer 30B01102

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct24 labels3
Paraphrase19 labels3
Comparative26 labels4not counted in share
Budget-constrained13 labels6
Scale-constrained18 labels1
Negative10 labels3not counted in share
First choiceAlternativeMentionNegative110 labels in all, every segment counted; 13 of the 20 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Melissa - Offers a comprehensive address verification API with features such as real-time address validation, standardization, and enrichment.” Llama 4 Maverick · Address verification · paraphrase prompt · first choice
“The Industry Standards (High accuracy, widely used): Smarty (formerly SmartyStreets), Loqate (Onbuka), Melissa (DataBox).” Qwen 3.7 Flash · Address verification · scale prompt · first choice
“Melissa offers the best free tier for small businesses needing additional validation features” MiniMax M2.5 · Address verification · budget prompt · first choice
“### 1. Melissa - Strengths: Enterprise-grade global verification, postal-certified coverage” GLM 4.7 FlashX · Address verification · comparative prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“General cautions for all address verification tools (e.g., Smarty, Melissa, Quadient, Shufti Pro, SumSub, Veriff, DataFlow)” Grok 4.20 · Address verification · negative prompt · soft negative
“Melissa is generally heavier and more complex to implement. It is less of an "add-on" tool for a website” Qwen 3.7 Flash · Address verification · comparative prompt · soft negative

Named alongside

The products named in the same answers as Melissa, over the 110 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Melissa was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Smarty102 of 11062Compare →
Lob29 of 1101Not among the top eight
Experian Data Quality17 of 1100Not among the top eight
Google Address Validation7 of 1100Not among the top eight
Google Maps6 of 1100Not among the top eight
GeoPostcodes5 of 1100Not among the top eight
Radar5 of 1100Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Melissa. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 105 of the 110 answers that named Melissa and are not a share of its labels.

Search and answers

melissa.com ranks 5 on Google for the category's searches. In the answers, Melissa takes 8% of first choices and Smarty takes 47%.
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In search

Google, US estimates
Position for “address verification tool”
5
Position for “best address verification tool”
–
not in the top ten
Searches for its name, Google
135,000 a month (“melissa”)
AI search demand for its name, est.
84,957 a month
Organic visits to its site
about 197,334 a month
Searches its site ranks for
14,489 · 727 in the top three
Sites linking to it
4,307
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
31 ads · 31 text · 29 shown in the last 30 days

First shown October 2021, as Melissa Data Corp, verified. Ads started 2025-11 to 2026-10: 8 in the year, 23 before. 28 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
8%
rank 3 of 108 in address verification
Segment leader
47%
Smarty
First choices
13 across its categories
Named in
110 answers
Its own site cited
in 105 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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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

Last twelve months

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.

Names read as Melissa

What the judge wrote, as written, with how often. The vendor table decides that these count as Melissa; a claim can dispute any of them.
Melissa (Melissa Data) 2Melissa (DataBox) 1Melissa (formerly Dataverse) 1Melissa (formerly Melissa Data) 1

Follow Melissa

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Melissa.
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On record

Wikidata
Headquarters
Rancho Santa Margarita, United States
Founded
1985

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Melissa's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Melissa, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Melissa by email, built from the raw record of the edition. It shows:

  • where Melissa is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Melissa, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at melissa.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where Melissa is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

Melissa is among the products AI models recommend first in Address verification tools this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/address-verification/"><img src="https://gtm-ai-index.com/badges/2026-10/melissa--address-verification-wide.svg" alt="Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Address verification tools standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/address-verification/"><img src="https://gtm-ai-index.com/badges/2026-10/melissa--address-verification-square.svg" alt="Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Address verification tools standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/gtm-data/address-verification/"><img src="https://gtm-ai-index.com/badges/2026-10/melissa--address-verification-compact.svg" alt="Among AI models' top three in Address verification tools, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Address verification tools standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.