Prompt

I'm building an app that needs deliverability I can trust

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

If deliverability matters, you should optimize for a reliable email service/provider and proper authentication, not just “sending email.”

Here’s the practical checklist:

1) Use a reputable sending service

Pick a provider with strong infrastructure and good reputation, such as:

  • Amazon SES
  • Postmark
  • SendGrid
  • Mailgun
  • SparkPost

For transactional email (password resets, receipts, alerts), Postmark and SES are often strong choices.

2) Authenticate your domain

Set up:

  • SPF
  • DKIM
  • DMARC

This is essential for inbox placement and trust.

3) Send from a real domain

Avoid generic/free sender domains. Use:

  • no-reply@yourdomain.com
  • support@yourdomain.com

4) Separate transactional and marketing traffic

Use different:

  • subdomains
  • IP pools
  • sender identities

This protects critical email from reputation damage.

5) Keep list hygiene strong

If you’re sending to users:

  • remove hard bounces
  • suppress repeat soft bounces
  • honor unsubscribes quickly
  • avoid purchased lists

6) Monitor reputation and delivery

Track:

  • bounce rate
  • complaint rate
  • inbox placement
  • spam folder placement
  • open/click trends

7) Warm up gradually

If you’re sending from a new domain/IP:

  • start with low volume
  • increase slowly
  • send to engaged users first

8) Make content trustworthy

Avoid spammy patterns:

  • misleading subject lines
  • URL shorteners
  • excessive images
  • too many links
  • weird HTML or attachments

9) Handle bounces and complaints automatically

Your app should ingest provider webhooks and:

  • mark invalid addresses
  • stop sending to complainers
  • retry transient failures carefully

10) Test before you rely on it

Use:

  • seed accounts at major inbox providers
  • tools like mail-tester
  • provider deliverability dashboards

If you want, I can help you choose the best provider for your use case and give you a setup checklist for SPF/DKIM/DMARC.

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?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.