| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Contact center quality assurance | Customer | 18% | 2 of 81 | 3% | 31 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.1 Fast | 3 | 1 | 1 | 0 | 5 |
| Mistral Small | 1 | 1 | 1 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 2 | 0 | 4 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 1 | 1 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 2 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 1 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Scorebuddy (now ScorebuddyCX) stands out as one of the best contact center quality assurance (QA) tools” Grok 4.1 Fast · Contact center QA · budget prompt · first choice
“EvaluAgent and Scorebuddy are often highlighted as the most cost-effective and scalable options” Mistral Small · Contact center QA · direct prompt · first choice
“I'd recommend Scorebuddy as a strong starting point for support QA and conversation review.” Grok 4.1 Fast · Contact center QA · paraphrase prompt · first choice
“Scorebuddy is frequently highlighted for mid-market teams (50–500 agents)” Claude Haiku 4.5 · Contact center QA · 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.
“Suggest the vendor isn't investing in the product (mentioned about some tools like Scorebuddy)” Kimi K2 · Contact center QA · 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 76 of the 80 answers that named Scorebuddy and are not a share of its labels.
No domain is on file for Scorebuddy, 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 Scorebuddy'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 Scorebuddy, 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 Scorebuddy by email, built from the raw record of the edition. It shows:
Scorebuddy is among the products AI models recommend first in Contact center quality assurance 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.