Prompt

My app emails are landing in spam and I don't know why

Technology / API Platforms1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

Spam placement usually comes down to one or more of these:

  1. Sender authentication issues

    • Missing or broken SPF, DKIM, or DMARC
    • “From” domain doesn’t align with the sending domain
  2. Poor sender reputation

    • New domain/IP with no history
    • Low engagement, lots of bounces, complaints, or inactive recipients
    • Shared sending IP affected by other senders
  3. Message/content signals

    • Spammy wording, excessive links, URL shorteners
    • Images with little text, large attachments
    • Broken HTML or suspicious formatting
  4. Sending behavior

    • Sudden volume spikes
    • Sending too frequently
    • Mailing people who didn’t opt in or don’t engage
  5. Recipient-side factors

    • Gmail/Outlook/Yahoo filtering based on user behavior
    • Users moving messages to spam, which trains the filter

What to check first

  • Verify your domain has SPF, DKIM, and DMARC set up correctly
  • Make sure your From address uses the same domain you authenticate with
  • Check your bounce rate and complaint rate
  • Send a test email to Gmail/Outlook and inspect headers
  • Look at your ESP’s deliverability dashboard if you use one

Quick fixes

  • Warm up sending volume gradually
  • Remove invalid/unengaged recipients
  • Simplify the email content
  • Avoid too many links or suspicious wording
  • Use a reputable sending service/IP
  • Add a clear unsubscribe link and physical mailing address

If you want, I can help you debug it step by step.

Send me:

  • your sending domain
  • whether you use an ESP like SES/SendGrid/Mailgun/etc.
  • a sample email header
  • SPF/DKIM/DMARC records

and I’ll help pinpoint the likely cause.

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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