| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 0% | 90 of 99 | 50% | 2 | under 10 labels · led by Insycle at 43% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 124 of 142 | 50% | 2 | under 10 labels · led by Amplitude at 18% | newNew since September 2026: not ranked then, 0% now. |
| Channel partner and local marketing | Partner and channel | 0% | 116 of 124 | 100% | 1 | under 10 labels · led by Channelscaler at 10% | newNew since September 2026: not ranked then, 0% now. |
| Data management platforms | GTM data and infrastructure | 0% | 151 of 159 | 100% | 1 | under 10 labels · led by Segment at 37% | newNew since September 2026: not ranked then, 0% now. |
| Ecommerce marketing | Marketing | 0% | 92 of 115 | 100% | 1 | under 10 labels · led by HubSpot Marketing Hub at 38% | newNew since September 2026: not ranked then, 0% now. |
| Field sales tools | Sales | 0% | 90 of 94 | 100% | 1 | under 10 labels · led by Badger Maps at 38% | |
| Marketing resource management | Marketing | 0% | 100 of 110 | 100% | 1 | under 10 labels · led by Wrike for Marketing at 24% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 76 → 90 of 99 |
| Customer intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 124 of 142, unchanged |
| Channel marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 116 of 124, unchanged |
| DMP | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 151 of 159, unchanged |
| Ecommerce marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 92 of 115, unchanged |
| Field sales | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 90 of 94, unchanged |
| Marketing resource mgt | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 100 of 110, 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 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 5 | 5 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
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.
“Avoid treating these as full-fledged marketing engines; they are usually administrative filing cabinets.” Qwen 3.7 Flash · Channel marketing · negative prompt · hard negative
“Avoid enterprise platforms (like Adobe or SAP)” Qwen 3.7 Flash · DMP · direct prompt · hard negative
“aren't quite ready for the massive overhead of an enterprise-grade monolith like Oracle or SAP without significant customization” Qwen 3.7 Flash · Customer intel · scale prompt · soft negative
“you want to avoid the massive cost and development overhead of heavy enterprise tools (like SAP or Salesforce Commerce Cloud)” Gemini 3.5 Flash · Ecommerce marketing · direct 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 25 of the 27 answers that named SAP and are not a share of its labels.
No domain is on file for SAP, so its own site is not marked.
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.
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.
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 SAP'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 SAP, 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 SAP by email, built from the raw record of the edition. It shows: