GTM AI Index
Index Vendors › WizCommerce · September 2026 Edition
3 categories · Named, not ranked

WizCommerce

3Judge labels
1First choices
0Negative labels
2 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. WizCommerce was named 3 times in Ecommerce and 2 other categories, where BigCommerce B2B Edition led with 27%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In ecommerce · 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 WizCommerce 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 rateLabelsQuadrant
Ecommerce platformsRevenue operations2%11 of 980%1under 10 labels · led by BigCommerce B2B Edition at 27%
Ecommerce marketingMarketing0%112 of 1540%1under 10 labels · led by HubSpot Marketing Hub at 36%
Retail, proximity and IoT marketingMarketing0%81 of 1310%1under 10 labels · led by Radar at 19%

Movement

This is the first edition on this tier, so no move can be computed for WizCommerce yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated WizCommerce across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510102
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase2 labels1
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 labels in all, every segment counted; 1 of the 1 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.

“WizCommerce, Shopify Plus, and BigCommerce B2B Edition are recommended for mid-market wholesalers, distributors, and manufacturers” Claude Haiku 4.5 · Ecommerce · paraphrase prompt · first choice
“Pure in-store B2B (trade shows/orders)” Grok 4.1 Fast · Proximity · paraphrase prompt · alternative

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.

No model argued against it.

Named alongside

The products named in the same answers as WizCommerce, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WizCommerce was named but was not.
ProductSame answerTook the first choice insteadHead to head
BigCommerce B2B Edition2 of 31Not in the top three
OroCommerce2 of 30Not in the top three
Shopify2 of 30Not in the top three
HubSpot Marketing Hub1 of 31Not in the top three
Radar1 of 31Not in the top three
Bluedot1 of 30Not in the top three
Kontakt.io1 of 30Not in the top three
Perenso1 of 30Not in the top three
Simpli.fi1 of 30Not in the top three
Uniqode1 of 30Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 WizCommerce. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 3 answers that named WizCommerce and are not a share of its labels.

Domains cited

bigcommerce.com2
guideflow.com2
virtocommerce.com2
wizcommerce.comYour site2
amzprep.com1
b2bridge.io1
improvado.io1
kibocommerce.com1
learn.g2.com1
oroinc.com1

Twelve of the fourteen domain citations in answers naming WizCommerce came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 WizCommerce'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 WizCommerce, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at wizcommerce.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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