| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Retail media platforms | Marketing | 0% | 23 of 121 | 33% | 12 | criticized challenger | |
| Ecommerce platforms | Revenue operations | 0% | 71 of 71 | 100% | 6 | under 10 labels · led by BigCommerce B2B Edition at 47% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data clean rooms | GTM data and infrastructure | 0% | 87 of 100 | 100% | 1 | under 10 labels · led by Snowflake Data Clean Rooms at 19% | |
| Direct mail and gifting platforms | Marketing | 0% | 34 of 90 | 0% | 1 | under 10 labels · led by Sendoso at 25% | |
| Order management systems | Revenue operations | 0% | 106 of 131 | 100% | 1 | under 10 labels · led by Zoho Inventory at 25% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 2 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 2 | 2 |
| Grok 4.20 | 0 | 0 | 0 | 2 | 2 |
| Mistral Small | 1 | 0 | 0 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 1 | 3 |
| MiniMax M2.5 | 1 | 1 | 1 | 1 | 4 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
Verbatim evidence the judge attached to positive labels.
“Prioritize platforms with strong automation, robust measurement, and transparent processes, such as Amazon, Walmart Connect, and Target's Roundel” Mistral Small · Retail media · negative prompt · first choice
“Start with Amazon (70-80% of budget) until you have efficiency data” MiniMax M2.5 · Retail media · negative prompt · first choice
“Amazon Advertising (dominant, full-funnel scale)” GLM 4.7 FlashX · Retail media · negative prompt · first choice
“sticking to established leaders (Amazon, Walmart, Target) or highly mature partners is generally safer” Qwen 3.7 Flash · Retail media · negative prompt · alternative
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.
“Marketplaces like Amazon, eBay, Etsy, Walmart Marketplace, and Target Plus - Why avoid: High fees” Mistral Small · Ecommerce · negative prompt · hard negative
“Marketplaces (Amazon, eBay, Etsy, Walmart)... these are the platforms to avoid.” GLM 4.7 FlashX · Ecommerce · negative prompt · hard negative
“relying on native tools like Shopify's basic admin backend or Amazon Seller Central is perfectly fine. However, attempting to scale a multi-channel business on them is a major risk.” Gemini 3.5 Flash · Order management · negative prompt · soft negative
“Amazon if you need to build your own brand or customer relationships, because sellers can face high combined fees, little customer data” Perplexity Sonar · Ecommerce · negative 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 44 of the 47 answers that named Amazon and are not a share of its labels.
113 of the 113 domain citations in answers naming Amazon 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 |
|---|---|---|---|---|---|
| News or press | 391 | 0 | 2025-09-17 | ||
| Report or ebook | 282 | 9 | 2026-07-29 | ||
| Blog | 132 | 0 | 2024-10-22 | ||
| Case study | 26 | undated | |||
| Conference or event | 21 | 0 | 2025-12-10 | ||
| Template or tool | 20 | undated | |||
| Glossary or explainer | 12 | undated | |||
| Comparison | 1 | 0 | 2025-03-25 | ||
| Podcast or video | 1 | undated |
Every page amazon.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.
Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase
What Amazon's own pages state, read October 5, 2026: amazon.com, trust.amazon.com. 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 Amazon'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 Amazon, 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 Amazon by email, built from the raw record of the edition. It shows: