GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index Marketing September 2026 Edition

Ecommerce marketing

Asked as “ecommerce marketing platform”, and as “marketing tool for an online store”, on behalf of a mid-market B2B software company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
36% of first choices, contested.

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01HubSpot Marketing Hub36%15%34endorsed leader
02Klaviyo18%18%45accepted challenger
03Omnisend10%7%29accepted challenger
04WooCommerce8%0%12accepted challenger
05BigCommerce6%8%12accepted challenger
06ActiveCampaign2%12%26accepted challenger
07Shopify2%15%27accepted challenger
Show the three products at 0%, ordered by negative rate
10Mailchimp0%50%22criticized challenger
09Salesforce Marketing Cloud0%18%11accepted challenger
08Brevo0%0%13accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01HubSpot Marketing Hub36%
02Klaviyo18%
03Omnisend10%
04WooCommerce8%
05BigCommerce6%
06ActiveCampaign2%
07Shopify2%
08Brevo0%
09Salesforce Marketing Cloud0%
10Mailchimp0%

02What they warned about

A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Mailchimp
50%
11 of 22 labels negative · 7 of 6 models · 2 hard negative
“Mailchimp\u2019s pricing structures have climbed sharply ... count unsubscribed, cleaned, and archived contacts toward your monthly billing threshold” Gemini 3.5 Flash, negative prompt
Klaviyo
18%
8 of 45 labels negative · 6 of 6 models · 3 hard negative
“Klaviyo — The Most Controversial Right Now ... Trustpilot rating: 1.9/5 ... the worst rating of any major platform researched” DeepSeek V4 Flash, negative prompt
HubSpot Marketing Hub
15%
5 of 34 labels negative · 4 of 6 models · 1 hard negative
“**Avoid Klaviyo and HubSpot Early On**” Gemini 3.5 Flash, budget prompt
Yotpo
38%
3 of 8 labels negative · 3 of 6 models · 2 hard negative
“Atrocious/nearly absent account support, chat support that always has to "get back to you later," closing tickets without resolution” DeepSeek V4 Flash, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

19 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 199 links across 133 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

6 answers · 7 citations · 2 models
vendor site · Shopify5 answers · 6 citations · 3 models
vendor site · BigCommerce4 answers · 4 citations · 2 models
4 answers · 4 citations · 3 models
3 answers · 6 citations · 1 model
3 answers · 4 citations · 2 models
3 answers · 3 citations · 2 models
3 answers · 3 citations · 1 model
vendor site · Guideflow3 answers · 3 citations · 2 models
vendor site · Sender3 answers · 3 citations · 2 models
3 answers · 3 citations · 2 models
vendor site · Omnisend2 answers · 3 citations · 2 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best ecommerce marketing platform for a mid-market B2B company?”Paraphrase“Which marketing tool for an online store would you recommend to a mid-sized B2B company?”Comparative“What are the top ecommerce marketing platforms and how do they differ?”Budget-constrained“What is the best ecommerce marketing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an ecommerce marketing platform. What should we look at?”Negative“Which ecommerce marketing platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
Adobe read as Adobe Journey Optimizer
Amazon read as Amazon Ads
HubSpot read as HubSpot Marketing Hub
TikTok read as TikTok Ads
Unresolved, counted raw
Adobe Experience Cloud
Ascend Ecom
Automators AI
Barilliance
Bing
Digital Silk
Disruptive Advertising
Empire Ecom
Etsy Pattern
Fiverr traffic gigs
Inflow
LinkedIn
Lunar Capital Ventures / Ecom Genie / Profitable Automation
Meta (Facebook/Instagram)
Onyx Distribution
Oracle
Retainful
SAP Commerce
SCAYLE
Salesforce MCAE/Pardot
Shopify Marketing / Shopify Messaging
Shopify's own tools / Shop Campaigns
Thrive Internet Marketing Agency
VTEX / SCAYLE
Verified Reviews
Vitals
Wix Core
Wix Email Marketing
WooCommerce + Hostinger Hosting
Zyro
ecommercescalingsecrets.com
ecomscaling.org
Discontinued, still offered
No shut-down product was recommended here.
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