Prompt

I'm building software that sends login codes and needs inbox placement

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

To improve inbox placement for login codes, focus on the same fundamentals that mail providers use to judge whether a sender is legitimate and wanted:

1) Authenticate every sending domain

Set up:

  • SPF
  • DKIM
  • DMARC

For best results:

  • Use a dedicated sending subdomain for transactional mail, e.g. mail.example.com
  • Align the visible From domain with the authenticated domain
  • Start DMARC with p=none, then tighten to quarantine/reject once everything is stable

2) Separate transactional mail from marketing

Login codes should be on a separate stream from newsletters/promotions:

  • Separate subdomain
  • Separate IP pool if volume justifies it
  • Separate templates and sending infrastructure

This protects deliverability if marketing mail has issues.

3) Keep sender reputation clean

Mailbox providers heavily weight reputation:

  • Send only to users who initiated the login action
  • Avoid repeated retries to bad addresses
  • Suppress hard bounces immediately
  • Watch complaint rates, bounces, and deferrals
  • Use consistent sending patterns instead of bursts

4) Make messages clearly transactional

Code emails should look like what they are:

  • Clear subject: “Your login code”
  • No promotional language
  • No image-only content
  • Minimal links
  • Plain-text or simple HTML
  • Include the app/service name prominently

5) Reduce user friction and spam signals

  • Don’t send multiple codes unless requested
  • Expire codes quickly
  • Make sure the email is expected and timely
  • Avoid confusing “no-reply” behavior if users need support

6) Maintain recipient trust

Mail providers notice engagement:

  • Users should quickly find, open, and use the email
  • Encourage users to mark your sender as safe if needed
  • Make sure your “From” name is recognizable and consistent

7) Monitor deliverability

Track:

  • Delivery rate
  • Inbox placement if your ESP provides seed testing
  • Bounce rate
  • Spam complaint rate
  • Domain reputation in Google Postmaster Tools / Microsoft SNDS
  • Authentication results in message headers

8) Warm up new domains/IPs carefully

If you’re starting fresh:

  • Begin with low volume
  • Send to highly engaged recipients first
  • Increase volume gradually
  • Avoid sudden spikes

9) Avoid common traps

  • Shared IPs with poor neighbors
  • Broken links or mismatched domains
  • URL shorteners
  • Excessive tracking/redirects
  • Sending to typo domains or inactive addresses repeatedly

10) Use a reputable ESP

If you don’t want to manage deliverability yourself, use a provider that supports:

  • Proper authentication
  • Dedicated transactional sending
  • Reputation monitoring
  • Bounce/complaint handling

If you want, I can give you:

  1. a technical deliverability checklist for login-code emails, or
  2. a reference architecture for sending OTP/login emails at scale.

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.