Prompt
What's the cheapest email service with delivery logs?
Latest observation
If you want the cheapest option that still gives delivery logs, the best answer is usually:
Amazon SES
- Very low cost: about $0.10 per 1,000 emails sent
- Delivery logs: yes, if you connect it with Amazon SNS, CloudWatch, or event publishing
- Good for transactional email, app notifications, password resets, etc.
Other low-cost options with logs
- Mailgun — has logs and good tooling, but usually more expensive than SES
- Postmark — excellent logs/deliverability, but not the cheapest
- SendGrid — logs available, pricing is higher than SES
Important caveat
If by “delivery logs” you mean proof of delivery status from the receiving mailbox provider, no service can guarantee true inbox delivery. What they can log is typically:
- accepted by their SMTP server
- delivered/queued/bounced/deferred
- opened/clicked if tracking is enabled
Bottom line
- Cheapest overall: Amazon SES
- Cheapest easiest-to-use alternative: often Mailgun or SendGrid, depending on volume and setup needs
If you want, I can compare the actual pricing for SES vs Mailgun vs SendGrid vs Postmark for your monthly email volume.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
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