Documentation Index
Fetch the complete documentation index at: https://docs.generect.com/llms.txt
Use this file to discover all available pages before exploring further.
What Is a Catch-All Email and Why Validation Matters
Definition:A catch-all domain is configured to accept any email address, even if the mailbox does not actually exist.
This means the server always replies “accepted”, making standard SMTP validation unreliable. Example:
Why this matters
- It’s impossible to confirm real mailbox existence using standard validation
- High risk of bounce rate
- Potential negative impact on your sender reputation
- Harder to filter high-quality contacts for outreach
- Increases campaign risk, especially at scale
Why additional validation is needed
Generect applies enhanced intelligence signals to estimate whether a catch-all email is likely to be deliverable. The system provides a confidence score, helping you decide whether to include such emails in your outreach.How Generect Validates Catch-All Emails
Generect uses a combined, multi-layered approach to evaluate catch-all emails more accurately than a standard SMTP check.Validation Process
SMTP Check (baseline validation)
Checks whether the server accepts emails.On catch-all domains the response is always “accepted” → therefore insufficient on its own.
Pattern Analysis (AI-driven)
The system analyzes:- whether the email matches the company’s known email pattern
- similarity to other confirmed valid emails from the same domain
- frequency of this email format in previous validations
Historical Data Review
Generect checks:- past successful deliveries to similar addresses
- whether similar formats previously resulted in bounces
- patterns observed across the domain
Public Records Matching
Generect searches for external signals verifying the address, including:- corporate websites
- email signatures
- mentions in public documents
- references in social profiles (e.g., LinkedIn)
Deliverability Score (final result)
Every email receives a predicted deliverability score:- Low (30–50%)
- Medium (50–75%)
- High (75–95%)