Index › IT › Products › Amazon SES · November 2026 Edition
Communications APIs · Named, not ranked

Amazon SES

Amazon SES is an AWS product in the email marketing platform category, used by teams that want to keep email costs under control · amazon.com ↗

–Too few to rank
4/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inCommunications APIs #16 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. Amazon SES has 3.

Why models recommend it

“The industry standard for cost-efficiency”Qwen 3.7 Flash · Comparative question · alternative
“Amazon SES for high volume pay-as-you-go”Muse Glimmer 30B · Budget-constrained question · alternative
“Amazon SES wins on pure cost.”Kimi K2 · Comparative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Amazon SES, over the 5 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 Amazon SES's own site, not checked by Gane.

Visit amazon.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 Amazon SES 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 4 of the 5 answers that named Amazon SES and are not a share of its labels.

Domains cited

apis.io3
getvoip.com2
github.com2
plivo.com2
requestly.com2
vibereference.com2
videosdk.live2
ably.com1
apibenchmarks.com1
authgear.com1

Eighteen of the eighteen domain citations in answers naming Amazon SES came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Amazon SES 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 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001