| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| SMS and WhatsApp marketing platforms | Marketing | 13% | 2 of 111 | 0% | 22 | accepted challenger | |
| Conversational intelligence and call recording | Sales | 0% | 66 of 91 | 33% | 3 | under 10 labels · led by Avoma at 41% | newNew since September 2026: not ranked then, 0% now. |
| Mobile marketing and push | Marketing | 0% | 32 of 80 | 0% | 2 | under 10 labels · led by OneSignal at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Conversational marketing platforms | Marketing | 0% | 70 of 87 | 0% | 1 | under 10 labels · led by Tidio at 13% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 3 | 0 | 0 | 4 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 0 | 3 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 2 | 1 | 0 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 0 | 3 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Best Overall for HubSpot & Mid-Market CRM Teams ... arguably the most seamless, user-friendly, and powerful choice on the market” Gemini 3.5 Flash · SMS & WhatsApp · direct prompt · first choice
“If I had to pick one for a typical mid-market B2B company, I'd start with Salesmsg.” GPT-5.4 mini · SMS & WhatsApp · direct prompt · first choice
“Salesmsg, SlickText, or Heymarket are highly recommended for mid-market businesses” Mistral Small · SMS & WhatsApp · paraphrase prompt · first choice
“For most mid-market B2B companies, I'd recommend Salesmsg” Kimi K2 · SMS & WhatsApp · direct 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.
“lacking deep AI analysis” Grok 4.20 · Conversation intel · comparative 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 57 of the 57 answers that named Salesmsg and are not a share of its labels.
No domain is on file for Salesmsg, 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 Salesmsg'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 Salesmsg, 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 Salesmsg by email, built from the raw record of the edition. It shows:
Salesmsg is among the products AI models recommend first in SMS and WhatsApp marketing 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.
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.