Prompt
What should I use instead of SendGrid?
Latest observation
It depends on what you use SendGrid for, but here are the most common alternatives:
If you need transactional email (password resets, receipts, alerts)
- Postmark — excellent deliverability, very developer-friendly
- Amazon SES — cheap and scalable, but more setup
- Mailgun — strong API and logging
- SparkPost — good deliverability and analytics
- Resend — modern API, popular with startups/Next.js apps
If you need marketing/newsletter email
- Mailchimp — all-in-one marketing platform
- Brevo (Sendinblue) — good for both marketing and transactional
- Campaign Monitor — polished marketing workflows
- MailerLite — simple and affordable
If you want simple SMTP/API replacement
- Amazon SES
- Mailgun
- Postmark
- Resend
Quick recommendations
- Best overall for transactional email: Postmark
- Cheapest at scale: Amazon SES
- Best modern developer experience: Resend
- Best for marketing + transactional together: Brevo
If you tell me:
- whether this is for transactional or marketing email,
- your monthly volume, and
- what stack you’re using,
I can recommend the best replacement for your case.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations 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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