Prompt
I'm building a startup and want simple SMTP plus webhooks
Latest observation
If you want simple SMTP + webhooks for a startup, you likely want an email API/service that supports both:
Good fits
- Postmark — very simple, great deliverability, clean SMTP support, strong inbound/outbound webhooks
- SendGrid — broad features, SMTP relay, lots of webhook/event options
- Mailgun — strong SMTP + webhooks, flexible, developer-friendly
- Amazon SES — cheap and reliable, but less “simple”; webhooks usually require extra setup with SNS/Lambda
My quick recommendation
- Best for simplicity: Postmark
- Best if you want flexibility and scale: Mailgun or SendGrid
- Best if cost matters most: SES
What to look for
Make sure the service supports:
- SMTP relay for sending
- Event webhooks for delivered/bounced/opened/clicked
- Inbound email webhooks if you need replies or processing
- Easy domain authentication: SPF, DKIM, DMARC
If you want, I can also give you a 1-minute comparison table or recommend one based on:
- budget
- volume
- need for inbound email
- whether you want to use SMTP only or also API
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.
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