Five of fourteen models named Klue first on the direct prompt; zero named Semrush. Klue was named by fourteen of the fourteen models and Semrush by thirteen and Klue carries 37 labels and Semrush 27, so the shares are not directly comparable.
Named in four categories this edition.
Boston, United States, founded 2008. Named in ten categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the market intelligence platforms page.
Across every category in the October 2026 Edition, Klue and Semrush were named in the same answer 143 times, of the 302 answers naming Klue and the 407 naming Semrush. In those answers Semrush took the first choice seventeen times and Klue twenty-three.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Avoid enterprise platforms — Klue, Crayon, AlphaSense, and ZoomInfo typically cost $10,000–$30,000+/year” Kimi K2 · budget prompt · hard negative
“Avoid enterprise-oriented platforms like Crayon, Klue, or AlphaSense” Perplexity Sonar · budget prompt · hard negative
No label in this category carried a quote.
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.