Six of fourteen models named Salesloft first on the direct prompt; two named Outreach. Both were named by all fourteen models and Salesloft carries 64 labels and Outreach 62, so the shares are not directly comparable.
Atlanta, United States, founded 2011. Named in fourteen categories this edition.
Named in fourteen 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 sales engagement platforms page.
Across every category in the October 2026 Edition, Salesloft and Outreach were named in the same answer 236 times, of the 311 answers naming Salesloft and the 314 naming Outreach. In those answers Outreach took the first choice twenty-nine times and Salesloft eighteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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. Six of seven in this category shown.
“In August 2025, attackers stole OAuth tokens from Salesloft's Drift chatbot integration... FINRA issued a cybersecurity alert telling member firms to disconnect Salesloft integrations” Muse Glimmer 30B · negative prompt · hard negative
“SalesLoft had a data breach in August 2025 via the Drift integration that compromised 700+ organizations... users report concerning renewal practices” Claude Haiku 4.5 · negative prompt · hard negative
“Platforms to Be Cautious About (with specific reasons)... SalesLoft ... Cancellation nightmare ... Email bugs are severe” DeepSeek V4 Flash · negative prompt · hard negative
“For most mid-sized B2B companies scaling reps quickly, Salesloft is the commonly recommended balance of engagement, coaching and revenue intelligence.” Muse Glimmer 30B · paraphrase prompt · first choice
“the best sales engagement platforms for mid-market B2B companies are generally considered to be Salesloft, Apollo, and Outreach” Mistral Small · direct prompt · first choice
“the best all-around choice is usually Salesloft if you want a dedicated sales engagement platform built for mid-market teams” GPT-5.4 mini · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“This applies to Outreach, SalesLoft, and any tool that encourages high-volume, automated outreach — those platforms are now risking your domain reputation” DeepSeek V4 Flash · negative prompt · hard negative
“High-Caution Platforms (Frequent Red Flags): Outreach.io ... account termination complaints ... Best for enterprise but buggy for smaller teams.” Grok 4.20 · negative prompt · hard negative
“you want to avoid premium enterprise platforms like Outreach or Salesloft, which require custom quotes, charge steep per-seat fees” Gemini 3.5 Flash · budget prompt · hard negative
“Outreach | 150+ reps, complex workflows | $200–250/user/mo | Deepest customization, governance, enterprise features” DeepSeek V4 Flash · scale prompt · first choice
“Deepest task‑driven sequencing and workflow controls... Enterprise SDR/orgs, RevOps teams needing deep forecasting” GLM 4.7 FlashX · comparative prompt · first choice
“### 1. Outreach (now Outreach.ai) - Best for: Enterprise sales teams ... Deepest enterprise feature set” MiniMax M2.5 · comparative prompt · first choice
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.