| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Ecommerce platforms | Revenue operations | 47% | 1 of 71 | 3% | 60 | endorsed leader | ▼−1Since September 2026: 47% → 46%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce marketing | Marketing | 14% | 2 of 115 | 0% | 8 | under 10 labels · led by HubSpot Marketing Hub at 38% | ▲+4Since September 2026: 12% → 16%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce search and merchandising | Marketing | 2% | 12 of 74 | 0% | 1 | under 10 labels · led by Algolia at 25% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Ecommerce marketing | 12% | 16% | ▲+4Since September 2026: 12% → 16%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 2 of 115 |
| Ecommerce search | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 12 of 74, unchanged |
| Ecommerce | 47% | 46% | ▼−1Since September 2026: 47% → 46%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 71, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 4 | 1 | 1 | 0 | 6 |
| GPT-5.4 mini | 1 | 2 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 2 | 2 | 1 | 0 | 5 |
| Perplexity Sonar | 3 | 0 | 1 | 0 | 4 |
| Grok 4.20 | 2 | 2 | 1 | 0 | 5 |
| Mistral Small | 2 | 1 | 2 | 0 | 5 |
| DeepSeek V4 Flash | 1 | 3 | 2 | 0 | 6 |
| Llama 4 Maverick | 3 | 0 | 2 | 1 | 6 |
| Qwen 3.7 Flash | 3 | 0 | 1 | 0 | 4 |
| Kimi K2 | 3 | 3 | 0 | 1 | 7 |
| GLM 4.7 FlashX | 3 | 2 | 0 | 0 | 5 |
| MiniMax M2.5 | 4 | 1 | 1 | 0 | 6 |
| GPT-6 Luna | 2 | 1 | 0 | 0 | 3 |
| Muse Glimmer 30B | 3 | 1 | 0 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“For most mid-market B2B companies, BigCommerce or Shopify Plus offer the best balance of B2B functionality, ease of use, and scalability” MiniMax M2.5 · Ecommerce · direct prompt · first choice
“BigCommerce is the strongest default choice because multiple sources describe it as the best fit for growing mid-market and B2B brands” Perplexity Sonar · Ecommerce · direct prompt · first choice
“BigCommerce B2B Edition is best for fast deployment and mid-market B2B companies, with account-level pricing and self-service ordering.” Claude Haiku 4.5 · Ecommerce search · direct prompt · first choice
“Shopify or BigCommerce will give you the right balance of speed, built‑in B2B functionality, and managed hosting” GLM 4.7 FlashX · Ecommerce · paraphrase prompt · first choice
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.
“Hides enterprise pricing behind sales calls - Can have complex fee structures as you scale” Kimi K2 · Ecommerce · negative prompt · soft negative
“although they may have higher upfront costs” Llama 4 Maverick · Ecommerce · budget prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 180 of the 200 answers that named BigCommerce B2B Edition and are not a share of its labels.
481 of the 571 domain citations in answers naming BigCommerce B2B Edition came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 943 | 40 | 2026-09-24 | ||
| Glossary or explainer | 426 | 1 | 2026-08-27 | ||
| News or press | 190 | undated | |||
| Case study | 130 | undated | |||
| Report or ebook | 120 | undated | |||
| Webinar or virtual event | 40 | 1 | 2026-07-20 | ||
| Podcast or video | 39 | 2 | 2026-08-14 | ||
| Comparison | 35 | undated | |||
| Conference or event | 25 | undated | |||
| Template or tool | 2 | undated |
As the event pages on bigcommerce.com state them, read September 28, 2026.
Every page bigcommerce.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What BigCommerce B2B Edition's own pages state, read September 28, 2026: bigcommerce.com, bigcommerce.com/pricing, bigcommerce.com/articles/ecommerce/compliance, bigcommerce.com/product, bigcommerce.com/partners. A claimed page can correct any of them.
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 BigCommerce B2B Edition'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 BigCommerce B2B Edition, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for BigCommerce B2B Edition by email, built from the raw record of the edition. It shows:
AI models recommend BigCommerce B2B Edition first in Ecommerce platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
BigCommerce B2B Edition is among the products AI models recommend first in Ecommerce marketing this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.