Sendoso vs Lob
Eleven of fourteen models named Sendoso first on the direct prompt; zero named Lob. Both were named by all fourteen models and Sendoso carries 69 labels and Lob 21, so the shares are not directly comparable.
Named in two categories this edition.
Named in three 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 modelsLob
Across every category in the November 2026 Edition, Sendoso and Lob were named in the same answer 165 times, of the 307 answers naming Sendoso and the 330 naming Lob. In those answers Lob took the first choice thirty-four times and Sendoso thirty-six.
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 4.20 | | | | | | |
| 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 | | | | | | |
Sendoso Lob first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sendoso on the left and Lob on the right.The direct prompt
Sendoso first, Lob not the choice
11 of 14 modelsLob was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
What the models said about Sendoso
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Several AI models recommend avoiding it for direct mail automation due to negative feedback and limitations in scalability and pricing transparency.” Llama 4 Maverick · negative prompt · hard negative
“Be especially cautious of Sendoso and its acquired brands (Alyce, Postal) due to documented instability, high costs, and service degradation.” Kimi K2 · negative prompt · hard negative
“report the *worst customer service experiences*... When to avoid: If you need responsive support or are on a budget.” Grok 4.20 · negative prompt · hard negative
“If you have a large ABM strategy, consider Sendoso or Alyce, which blur the line by combining direct mail postcards with premium gifting options in one platform.” Qwen 3.7 Flash · comparative prompt · first choice
“Sendoso (now incorporating Alyce and Postal.io) is generally the best overall direct mail and gifting platform for a mid-market B2B company.” Grok 4.20 · direct prompt · first choice
“Most comprehensive all-in-one platform for both direct mail and gifting, ideal for large organizations with complex needs.” Mistral Small · comparative prompt · first choice
What the models said about Lob
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.