| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Contact center quality assurance | Customer | 2% | 11 of 81 | 9% | 11 | accepted challenger | |
| Sales coaching and training | Sales | 0% | 27 of 124 | 0% | 4 | under 10 labels · led by MindTickle at 24% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| 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 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 2 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
Verbatim evidence the judge attached to positive labels.
“Best Overall for Mid-Market ... I'd recommend starting with Balto or AmplifAI” GLM 4.7 FlashX · Contact center QA · direct prompt · first choice
“Balto is described as a top pick for mid-market contact centers (100–500 agents)” Perplexity Sonar · Contact center QA · direct prompt · alternative
“Excels in closed-loop QA (QA → coaching → real-time assist), 100% interaction coverage.” Grok 4.1 Fast · Contact center QA · direct prompt · alternative
“Balto emphasizes automated scoring plus real-time supervisor alerts and agent guidance” GPT-6 Luna · Contact center QA · comparative 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.
“options like Observe.AI and Balto shift toward larger, more complex deployments” Muse Glimmer 30B · Contact center QA · paraphrase 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 50 of the 50 answers that named Balto and are not a share of its labels.
200 of the 228 domain citations in answers naming Balto came from somebody else's page.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 264 | undated | CRM | ||
| Comparison | 34 | undated | |||
| Glossary or explainer | 11 | undated | |||
| Template or tool | 1 | undated |
Every page balto.ai 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. 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 Balto's own pages state, read October 5, 2026: balto.ai, trust.balto.ai, balto.ai/customers. 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 Balto'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 Balto, 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 Balto by email, built from the raw record of the edition. It shows: