Index › GTM › Products › USPS · November 2026 Edition
Address verification tools · Named, not ranked

USPS

usps.com ↗

–Too few to rank
4/14Models named it
0First choices
6Warnings
November 2026 Edition · all company sizes counted.
Ranked inAddress verification tools #66 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. USPS has 2.

Why models recommend it

No positive label carried a quote.

What gives them pause

“USPS's address API is intended for address correction in connection with USPS mailing or shipping—not for sourcing addresses to build a database.”GPT-6 Luna · Negative question · warning
“they're usually better viewed as a direct postal tool than a full commercial address-quality platform for most B2B workflows”GPT-5.4 mini · Paraphrase question · warning

Also on the shortlist

The products named in the same answers as USPS, over the 10 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.

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 USPS 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 10 of the 10 answers that named USPS and are not a share of its labels.

Domains cited

melissa.com5
smarty.com5
usps.comIts own site5
developers.usps.comIts own site4
loqate.com4
addressverificationapi.com2
apollotechnical.com2
batchdata.io2
cufinder.io2
developers.google.com2

Twenty-four of the thirty-three domain citations in answers naming USPS came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on USPS 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 mini00011
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00011
Muse Glimmer 30B00000