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 Revenue operations September 2026 Edition

Ecommerce platforms

Asked as “ecommerce platform”, and as “online store platform”, on behalf of a mid-market B2B software company. 45 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
27% 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
01BigCommerce B2B Edition27%0%14accepted challenger
02BigCommerce18%3%38accepted challenger
03WooCommerce18%18%33accepted challenger
04Shopify16%7%60accepted challenger
05Square Online9%5%19accepted challenger
06OroCommerce2%9%11accepted challenger
07Ecwid2%0%10accepted challenger
Show the four products at 0%, ordered by negative rate
10Adobe Commerce0%41%39criticized challenger
11Salesforce Commerce Cloud0%33%15criticized challenger
09Squarespace0%18%11accepted challenger
08Wix0%15%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
11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01BigCommerce B2B Edition27%
02BigCommerce18%
03WooCommerce18%
04Shopify16%
05Square Online9%
06OroCommerce2%
07Ecwid2%
08Wix0%
09Squarespace0%
10Adobe Commerce0%
11Salesforce Commerce Cloud0%

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.
Adobe Commerce
41%
16 of 39 labels negative · 8 of 6 models · 1 hard negative
“Avoid: ... attempting Magento without a development budget.” Gemini 3.5 Flash, negative prompt
WooCommerce
18%
6 of 33 labels negative · 6 of 6 models
“Many businesses that started with WooCommerce are now reconsidering their technology stack, with the main reasons including performance issues, maintenance costs, and operational complexity.” Claude Haiku 4.5, negative prompt
Zen Cart
100%
5 of 5 labels negative · 5 of 6 models · 5 hard negative
“flagged as risky because they can lack updates, modern integrations, and strong security support” Perplexity Sonar, negative prompt
osCommerce
100%
5 of 5 labels negative · 5 of 6 models · 5 hard negative
“flagged as risky because they can lack updates, modern integrations, and strong security support” Perplexity Sonar, 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

17 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. 168 links across 110 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.

vendor site · Shopify7 answers · 10 citations · 3 models
vendor site · BigCommerce5 answers · 5 citations · 3 models
5 answers · 5 citations · 2 models
4 answers · 4 citations · 1 model
vendor site · Guideflow4 answers · 4 citations · 2 models
3 answers · 3 citations · 2 models
vendor site · Hostinger3 answers · 3 citations · 2 models
3 answers · 3 citations · 2 models
vendor site · Reddit3 answers · 3 citations · 1 model
3 answers · 3 citations · 2 models
vendor site · WizCommerce3 answers · 3 citations · 2 models
2 answers · 4 citations · 1 model

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 platform for a mid-market B2B company?”Paraphrase“Which online store platform would you recommend to a mid-sized B2B company?”Comparative“What are the top ecommerce platforms and how do they differ?”Budget-constrained“What is the best ecommerce platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an ecommerce platform. What should we look at?”Negative“Which ecommerce 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 Commerce
SAP read as SAP Commerce Cloud
Salesforce read as Salesforce Commerce Cloud
Unresolved, counted raw
Amazon India
Amazon.in
BigCommerce B2B
BigCommerce Catalyst
BigCommerce with B2B Edition
Bikry
Branchbob
Carousell
Depop
DressLily
Facebook Shops
Facebook/Instagram Shops
FashionMia
Hostinger eCommerce Builder
Lazada
Magento 2.x
Naaptol
NetSuite SuiteCommerce
Okshop
Preloved
PrestaShop 1.7 and earlier
Qoo10
Rosegal
SAP Commerce
SWREG
Salesforce B2B Commerce Cloud
SammyDress
Shopee
Shopify Plus B2B
Shoppiko
Shpock
Storehippo
TwinkleDeals
VLE Bazaar
Vinted
Wish.com
WorldWay
Xiaohongshu (Little Red Book)
Zaful
nopCommerce
Discontinued, still offered
No shut-down product was recommended here.
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