Sendoso vs Postal
Nine of fourteen models named Sendoso first on the direct prompt; five named Postal. Sendoso was named by fourteen of the fourteen models and Postal by thirteen and Sendoso carries 67 labels and Postal 46, so the shares are not directly comparable.
Named in two categories this edition.
Named in two 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 direct mail and gifting platforms page.
By framing
SendosoFirst choices, of fourteen modelsPostal
Across every category in the October 2026 Edition, Sendoso and Postal were named in the same answer 145 times, of the 323 answers naming Sendoso and the 160 naming Postal. In those answers Postal took the first choice twenty-two times and Sendoso forty-two.
Every model, every framing
| 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 | | | | |
Sendoso Postal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sendoso on the left and Postal on the right.The direct prompt
Sendoso first, Postal an alternative
9 of 14 modelsPostal was named in the answer but not as the choice, or not at all.Postal first, Sendoso an alternative
5 of 14 modelsSendoso was named in the answer but not as the choice, or not at all.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.
By buyer segment
Sendoso16%#3 of 9Postal16%#2 of 9What the models said about Sendoso
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“High platform fees: $15K–$100K+ annually before any gift spend ... Locked annual contracts with rising total costs” Kimi K2 · negative prompt · hard negative
“Biggest Red Flag: Non-Refundable Deposits ... Be extremely careful with the contract's prepaid funds clause.” DeepSeek V4 Flash · negative prompt · hard negative
“Sendoso is described as the world's first "sending platform" that helps companies send, track, and manage physical gifts and direct mail at scale” MiniMax M2.5 · comparative prompt · first choice
“The most comprehensive B2B corporate gifting and direct mail platform, now the category consolidator after acquiring Alyce and Postal.” Mistral Small · comparative prompt · first choice
“Market leader. 165+ countries, 90+ CRM/martech integrations... Sendoso = enterprise heavyweight with broadest integrations” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Postal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“HubSpot integration is underdeveloped — cannot report Postal activity back into HubSpot” Kimi K2 · negative prompt · hard negative
“Postal is no longer an independent alternative—Sendoso acquired it in May 2025.” GPT-6 Luna · direct prompt · hard negative
“Postal is widely recognized as the best direct mail and gifting platform for mid-market B2B companies” Claude Haiku 4.5 · direct prompt · first choice
“Postal.io - a simple and user-friendly platform that is favoured by small to mid-sized businesses.” Llama 4 Maverick · paraphrase prompt · first choice
“Postal: The Best All-Rounder for Mid-Market B2B ... Postal is the strongest fit” Gemini 3.5 Flash · paraphrase 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.