How I Would Fix emails landing in spam in a Circle and ConvertKit AI chatbot product Using Launch Ready.

How I Would Fix emails landing in spam in a Circle and ConvertKit AI chatbot product Using Launch Ready

If your Circle and ConvertKit emails are landing in spam, the most likely cause is not "the copy" or "the AI chatbot". It is usually broken domain authentication, poor sending reputation, or a mismatch between how the app sends mail and how the domain is configured.

The first thing I would inspect is the sending domain setup inside ConvertKit, then the DNS records at Cloudflare, then the actual message headers from one spammed email. In practice, I want to know if SPF, DKIM, and DMARC are aligned before I touch anything else. If those are wrong, every other fix is just noise.

Triage in the First Hour

1. Check one real email that landed in spam.

• Open the full message headers.
• Confirm the "mailed-by", "signed-by", and "from" domains.
• Look for SPF pass/fail, DKIM pass/fail, and DMARC alignment.

2. Inspect ConvertKit sender settings.

• Verify the sending domain.
• Confirm the default from name and from address.
• Check whether you are using a shared or dedicated sending domain.

3. Review Cloudflare DNS records.

• Look for SPF TXT records, DKIM CNAME or TXT records, and DMARC TXT records.
• Check for duplicate SPF records. That is a common failure.
• Confirm there are no accidental proxy settings on mail-related records.

4. Check Circle notification paths.

• Identify whether Circle is sending directly, via ConvertKit automation, or through another relay.
• Find any onboarding, invite, password reset, or chatbot follow-up emails that may be triggered by app events.

5. Review recent changes.

• Domain changes
• New subdomains
• New automations
• Copy edits to sender names or reply-to addresses
• Any deployment that touched environment variables or webhooks

6. Inspect deliverability signals.

• Bounce rate
• Complaint rate
• Open rate drop
• Spam placement by mailbox provider
• Any sudden spike in volume after launch

7. Verify product-level risk.

• Are AI chatbot messages generating repeated or low-quality outbound emails?
• Are users able to trigger mass sends?
• Is there rate limiting on send actions?

dig txt yourdomain.com
dig txt _dmarc.yourdomain.com
dig txt selector1._domainkey.yourdomain.com

If these checks fail, I stop guessing and fix authentication first. If they pass but spam placement remains high, I move to reputation, content patterns, and sending behavior.

Root Causes

| Likely cause | How to confirm | Why it sends to spam | | --- | --- | --- | | SPF missing or duplicated | DNS lookup shows no SPF record or more than one SPF TXT record | Mail providers cannot trust the sender | | DKIM not signing correctly | Message headers show DKIM fail or mismatched domain | The message looks tampered with or unauthenticated | | DMARC missing or too weak | No `_dmarc` record or policy set to none forever | Providers get no enforcement signal | | Sending from a bad subdomain | From address uses a subdomain with no auth records | Reputation does not transfer cleanly | | Low engagement / cold list | Opens fall below 20 percent and complaints rise | Providers infer unwanted mail | | AI-generated content looks repetitive | Similar subject lines and body text across many sends | Filters treat it as bulk or low-value mail |

1. SPF problems

I confirm this by checking whether all legitimate senders are included in one SPF record. A common mistake is adding multiple SPF TXT records because different tools were connected over time.

If there are two SPF records on the same domain, most receivers treat that as a fail. That alone can push mail into spam even when everything else looks normal.

2. DKIM problems

I confirm DKIM by opening message headers and checking whether the signature passes for the exact From domain used by ConvertKit or Circle. If DKIM signs with one domain but users see another in the From field, alignment can fail.

This often happens after switching domains, changing subdomains, or editing DNS without waiting for propagation.

3. DMARC missing or misconfigured

I confirm DMARC by checking `_dmarc.yourdomain.com`. If it is missing entirely, you have no policy guidance for mailbox providers.

If it exists but is set too aggressively before authentication is stable, you can create delivery failures instead of improving them.

4. Poor sender reputation

I confirm this by looking at bounce rates, complaint rates, open rates, and whether only certain mailbox providers are affected. Gmail spam placement with normal inboxing at Outlook often points to reputation rather than pure auth failure.

If you recently launched an AI chatbot product and started emailing every signup immediately, that can look like aggressive automation instead of normal customer communication.

5. Content patterns that trigger filters

I confirm this by comparing recent email templates against older ones that inboxed successfully. Repeated phrases like "instant access", "act now", too many links, heavy image blocks, or generic AI-written language can hurt deliverability.

This gets worse when every automated sequence sounds identical across hundreds of recipients.

6. Bad sending behavior from product flows

I confirm this by tracing app events into email sends. If a chatbot action triggers multiple emails per user session, you may be creating accidental bursts that damage reputation fast.

That is an API security issue too. Unrestricted send endpoints can become abuse paths if rate limits and authorization checks are weak.

The Fix Plan

My fix plan is boring on purpose. I want authentication repaired first, then reputation stabilized, then content cleaned up, then monitoring added so this does not happen again.

1. Consolidate sending identity.

• Pick one primary sending domain for ConvertKit.
• Use a consistent From name and From address.
• Avoid switching between root domain and subdomain without reason.

2. Repair DNS at Cloudflare.

• Keep exactly one SPF record per domain.
• Add or verify DKIM records from ConvertKit.
• Publish a DMARC record with monitoring first if you do not already have one.

A safe starting point looks like this:

v=DMARC1; p=none; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s; pct=100

3. Remove conflicting mail settings.

• Delete old SPF entries from prior tools if they are no longer used.
• Remove stale DKIM selectors from previous vendors where possible.
• Make sure mail-related DNS entries are not proxied through Cloudflare unless explicitly required as DNS only records.

4. Rebuild the email flow around one source of truth.

• Decide whether Circle should trigger ConvertKit automations or vice versa.
• Stop duplicate sends caused by overlapping workflows.
• Document which event sends which email so future changes do not break deliverability again.

5. Reduce spammy content signals.

• Shorten subject lines to something plain and specific.
• Replace hype-heavy language with clear utility language.
• Reduce link count in early onboarding messages.
• Add plain-text versions where possible.

6. Warm up carefully if volume changed recently.

• Send first to engaged users only.
• Split high-risk broadcasts into smaller batches over 3 to 5 days.
• Watch complaints and bounces before increasing volume.

7. Harden send actions as part of API security work.

• Require authentication on any endpoint that can trigger email sends.
• Add rate limits on resend and invite actions.
• Log who triggered each send without storing sensitive content unnecessarily.
• Restrict service keys to least privilege only.

8. Add visibility before handing it back to you.

• Set uptime monitoring on key pages and webhook endpoints

. - Track bounce alerts, open rate drops, and DMARC failures weekly .

The goal is not just inbox placement today. The goal is making sure your launch does not quietly poison your sender reputation next week.

Regression Tests Before Redeploy

Before I ship anything back into production, I would run these checks:

1. Authentication tests

• SPF passes for test messages

- DKIM passes for each sender identity .

DMARC aligns with visible From domain

2 . Delivery tests

Send test emails to Gmail , Outlook , Yahoo , and one corporate inbox

Check inbox , promotions , updates , and spam tabs

Confirm no broken links , missing images , or malformed headers

3 . Workflow tests

Trigger signup , password reset , invite , onboarding , and chatbot follow-up flows

Confirm each flow sends exactly once

Confirm no duplicate messages fire from Circle plus ConvertKit overlap

4 . Security tests

Verify send endpoints require auth

Test rate limit behavior on repeated requests

Confirm secrets are stored in environment variables , not hardcoded in client code

5 . QA acceptance criteria

At least 90 percent of test emails land outside spam across major providers

No duplicate transactional emails during a single user action

Bounce rate under 2 percent on fresh test batch

Complaint rate under 0 . 1 percent after resend test

6 . Monitoring checks

DMARC aggregate reports arriving daily

Alerting enabled for bounce spikes above baseline

Webhook failures visible within 5 minutes

If any of these fail , I do not redeploy blindly . I fix the underlying issue first .

Prevention

The best prevention is a simple operating system for email delivery .

• Use one canonical sender identity per product .
• Keep DNS change control tight .
• Review every new automation before turning it on .
• Add code review rules for any change that can trigger mail .
• Treat email triggers like production APIs because they are production APIs .

For an AI chatbot product , I also add guardrails around prompt-driven email generation .

• Block prompt injection from changing recipient lists .
• Prevent user input from rewriting sender metadata .
• Log tool usage separately from message content .
• Escalate unusual bulk-send patterns to a human review step .

From a UX angle , make sure users understand what will happen after signup . Confusing onboarding creates retries , retries create extra sends , and extra sends hurt deliverability .

From a performance angle , keep webhook processing fast . Slow queues lead to retries , retries lead to duplicates , and duplicates damage trust fast .

When to Use Launch Ready

Launch Ready fits when the problem is bigger than "just update DNS" but smaller than a full platform rebuild .

I would ask you to prepare these items before kickoff :

• Cloudflare access
• ConvertKit admin access
• Circle admin access
• Domain registrar access if needed
• Current email examples that hit spam
• A list of all active senders and automations
• Any recent screenshots of failed onboarding or invite flows

What you get back is practical : DNS cleanup , redirects , subdomains , Cloudflare , SSL , caching , DDoS protection , SPF/DKIM/DMARC , production deployment , environment variables , secrets , uptime monitoring , and a handover checklist .

If your AI chatbot product depends on reliable onboarding emails , invites , receipts , resets , or nurture sequences , this sprint prevents lost signups , broken activation flows , support tickets , and wasted ad spend .

Delivery Map

References

• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/cyber-security
• https://roadmap.sh/qa
• https://help.convertkit.com/en/articles/2502609-how-to-authenticate-your-sending-domain-with-spf-dkim-and-dmarc
• https://support.circle.so/hc/en-us

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Take the next step

If this is a problem in your product right now, here is what to do next:

• [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.

• [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*