Lob vs Sendoso
One of fourteen models named Lob first on the direct prompt; three named Sendoso. Lob was named by fourteen of the fourteen models and Sendoso by thirteen and Lob carries 57 labels and Sendoso 36, so the shares are not directly comparable.
Named in three 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 print page.
By framing
LobFirst choices, of fourteen modelsSendoso
Across every category in the October 2026 Edition, Lob and Sendoso were named in the same answer 161 times, of the 294 answers naming Lob and the 323 naming Sendoso. In those answers Sendoso took the first choice twenty-six times and Lob forty-eight.
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 | | | | | |
Lob Sendoso first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lob on the left and Sendoso on the right.The direct prompt
Lob first, Sendoso not the choice
1 of 14 modelsSendoso was named in the answer but not as the choice, or not at all.Sendoso first, Lob an alternative
3 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
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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 Lob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Best Avoid If: You're not technical, need global reach, or budget-sensitive.” Grok 4.20 · negative prompt · hard negative
“Avoid Lob if your marketing team doesn't have engineering support, as there is no visual, marketer-friendly builder out of the box.” Gemini 3.5 Flash · paraphrase prompt · soft negative
“1. Lob - Focus: API-driven platform for automating personalized direct mail ... Strengths: Nationwide Print Delivery Network” Mistral Small · comparative prompt · first choice
“Postal.io or Lob offer the best balance of features, pricing transparency, and scalability for mid-market B2B companies” Kimi K2 · direct prompt · first choice
“Lob — Best for API-First, Developer-Led Mail ... The category leader for API-first (REST API) programmatic direct mail.” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Sendoso
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two 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.” Mistral Small · negative prompt · hard negative
“Sendoso is the biggest platform to avoid unless you have a massive budget and can tolerate poor support.” Kimi K2 · negative prompt · hard negative
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.