Folderly AI deliverability checker
Check if a cold email is ready to send.
Paste a draft and get a send-readiness report across inbox risk, AI-template smell, compliance gaps, complaint budget, and sender setup. No signup required.
Public checker
Paste the draft before it becomes volume.
No signup is required. The public check analyzes the draft in memory and does not store raw email content.
Your send-readiness report appears here.
Paste the exact draft you plan to send. Folderly checks copy risk, AI-template smell, compliance gaps, sender setup, and complaint budget without storing the raw email.
Direct answer
An AI cold email deliverability checker reviews whether a draft is ready to send by checking copy risk, AI-template markers, compliance basics, sender setup, and complaint-budget signals. It helps catch visible risks before volume, but it cannot guarantee inbox placement without sender history and recipient engagement data.
Definition
A cold email deliverability checker is a pre-send review tool that evaluates content, compliance, sender, and campaign-risk signals before outreach volume increases.
Best for
- - Public no-signup review of a cold email draft before sending.
- - Finding generic AI phrasing, risky claims, missing opt-out language, and complaint risk.
- - Routing a quick check into deeper Folderly sender and placement workflows.
Not best for
- - Guaranteeing Gmail, Outlook, or Yahoo inbox placement.
- - Replacing authenticated sender-domain diagnostics and campaign history.
- - Storing sensitive draft history on a public page.
Example
Input: A cold email draft with a vague AI opener, unsupported ROI claim, and calendar link.
Output: A public-safe readiness report that flags generic language, risky proof, link friction, and next fixes without storing the raw draft.
Limitations
- - The checker reviews visible draft and setup signals, not every mailbox-provider decision.
- - Sender reputation, list quality, authentication, and real engagement still determine final placement.
Useful next sources
AI-template smell
Flags generic openers, vague value props, placeholders, and automation-heavy language.
Complaint budget
Models how little room high-volume Gmail-heavy campaigns have for spam complaints.
Folderly aggregate insight
Compares structure against anonymized Folderly-reviewed pattern ranges when enough samples are available.
Traffic loop
Make the check useful enough to share.
Folderly AI turns a private draft review into a public-safe score, teardown prompt, and complaint-budget conversation without exposing raw email content.
Cold Email Roast
A sharper public teardown angle for teams that want fast feedback and shareable scorecards.
Complaint Rate Calculator
Model how many complaints a Gmail-heavy campaign can afford before volume gets risky.
Shareable scorecard
Copy a result link or LinkedIn-ready teardown after each check without exposing the email text.
AI Cold Email Risk Report
Read the source-backed 2026 risk framework behind the checker and complaint workflow.
Next step
Fix the message before the campaign gets expensive.
The checker shows visible risks. Folderly Email Generator helps rewrite the message with a clearer reason to reply, calmer wording, and a safer next step.
Does this guarantee inbox placement?
No. The checker organizes visible copy, compliance, sender, and volume risks. Real inbox placement also depends on sender history, authentication, list quality, and mailbox-provider filtering.
Do you store the email I paste?
No. The public checker processes the submitted draft for the request and does not save raw email content.
What makes this different from a spam score?
Folderly reviews the message as a send-readiness system: copy risk, AI-template markers, opt-out handling, sender setup, complaint budget, and anonymized aggregate benchmarks.