Prompt

I’m unhappy with my current email verifier rejecting too many good addresses

Technology / Marketing Automation1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

That’s frustrating — overly aggressive email verification can cost you real contacts.

A good way to fix this is to figure out which checks are too strict and compare your verifier’s behavior against the failures you’re seeing. Common causes of false rejections include:

  • Disposable / role-based email filtering being too broad
  • MX lookup failures or temporary DNS issues treated as permanent
  • SMTP “catch-all” handling that assumes unknown means invalid
  • Greylisting / throttling from recipient servers
  • Strict typo detection rejecting uncommon but valid domains
  • Unicode / plus-addressing support issues
  • Hard-fail logic when the server returns temporary errors

What usually helps:

  1. Separate “invalid” from “risky” instead of only yes/no.
  2. Treat temporary or ambiguous results as “unknown” or “accept with warning.”
  3. Use domain-level validation conservatively:
    • valid MX records
    • reasonable SMTP response handling
    • avoid over-relying on mailbox existence checks
  4. Keep a log of false rejects and review:
    • domain
    • SMTP response code
    • DNS result
    • rule that triggered rejection

If you want, I can help you debug your verifier’s rules, or help you design a less aggressive validation policy. If you have sample rejected addresses and the reasons they were rejected, I can point out which checks are likely too harsh.

Observation history

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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.

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