Nine of fourteen models named WiseStamp first on the direct prompt; one named CodeTwo Email Signatures 365. Both were named by all fourteen models and WiseStamp carries 51 labels and CodeTwo Email Signatures 365 67, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 email signature management page.
Across every category in the November 2026 Edition, WiseStamp and CodeTwo Email Signatures 365 were named in the same answer 131 times, of the 149 answers naming WiseStamp and the 204 naming CodeTwo Email Signatures 365. In those answers CodeTwo Email Signatures 365 took the first choice thirty-one times and WiseStamp twenty-nine.
| 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 eight in this category shown.
“tools that should be avoided or used with caution. Some of the tools mentioned include WiseStamp, Exclaimer, and Microsoft 365/Google Workspace native tools.” Llama 4 Maverick · negative prompt · hard negative
“Flagged for notable security and compliance concerns, including the absence of general SAML SSO and no public API” Mistral Small · negative prompt · hard negative
“WiseStamp or similar client-side products when tamper-proof governance is required: WiseStamp's enforcement is reported as client-side, with limitations around audit trails” Perplexity Sonar · negative prompt · soft negative
“WiseStamp is the best overall choice due to its balance of ease of use, centralized management, and support for multiple platforms” Mistral Small · paraphrase prompt · first choice
“API-based options like WiseStamp (strong for Google Workspace/SMBs, low privacy risk, AI features, good compliance)” Grok 4.20 · negative prompt · first choice
“The Best All-Around & Best Value: WiseStamp ... frequently cited as the top choice for mid-sized organizations” Qwen 3.7 Flash · 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.
“CodeTwo and Letsignit are designed for Microsoft ecosystems, so Google Workspace organizations should generally avoid them.” Perplexity Sonar · negative prompt · hard negative
“CodeTwo Email Signatures 365 - Outlook Integration Issues: Signatures sometimes not displaying immediately or old signatures persisting unexpectedly” Muse Glimmer 30B · negative prompt · soft negative
“Verdict: Excellent for IT teams, but avoid if you're a small business without a dedicated admin.” DeepSeek V4 Flash · negative prompt · soft negative
“Consistently favored by Microsoft 365 sysadmins for seamless Outlook integration, strong security, and flexible client-side/server-side deployment” Gemini 3.5 Flash · negative prompt · first choice
“CodeTwo is highly respected within the Microsoft ecosystem... often viewed as the "safe," robust choice for IT admins.” Qwen 3.7 Flash · comparative prompt · first choice
“For most budget-conscious companies, CodeTwo offers the best value (highest rating + lowest per-user pricing)” DeepSeek V4 Flash · budget 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.