| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Marketing resource management | Marketing | 2% | 13 of 110 | 25% | 8 | under 10 labels · led by Wrike for Marketing at 24% | |
| Content marketing platforms | Marketing | 0% | 100 of 135 | 0% | 1 | under 10 labels · led by HubSpot Content Hub at 33% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 2 | 0 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend requesting demos from Opal, Aprimo, and Planview as they're specifically built for enterprise-scale marketing operations.” MiniMax M2.5 · Marketing resource mgt · scale prompt · first choice
“Opal is the go-to for enterprise-level strategic orchestration.” Mistral Small · Marketing resource mgt · comparative prompt · first choice
“Opal is a newer entrant that positions itself as a platform connecting high-level strategy with tactical execution.” Qwen 3.7 Flash · Marketing resource mgt · comparative prompt · alternative
“Opal — strategy-to-execution oriented, worth a look” DeepSeek V4 Flash · Marketing resource mgt · scale 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.
“users also report steep learning curves, slow loading, and navigation issues” GPT-5.4 mini · Marketing resource mgt · negative prompt · soft negative
“flags a steep learning curve, slow loading, and reports of bugs” GPT-6 Luna · Marketing resource mgt · 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 22 of the 22 answers that named Opal and are not a share of its labels.
No domain is on file for Opal, so its own site is not marked.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 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 Opal'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 Opal, 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 Opal by email, built from the raw record of the edition. It shows: