Same rules, every roster
One standard on every campaign, whoever wrote the prompt and whichever client it's for.
✳︎ FOR B2B LEAD GEN AGENCIES
Every client's outbound.
One standard.
Your AI writes for every client on the roster. One "Loved your recent post!" lands on the wrong prospect and it's your client's name on it, not yours.
MailDignity checks every email between your generation step and the send queue. Before it goes out.
- 125,000 checks a month, $249
- Same rules across every client campaign
Hi Stefan,
I loved your posts!generic_flattery We help companies in your market grow.
You're losing clients because your tools are a mess.unsolicited_diagnosis
Can we meet tomorrow at 14:00?asymmetric_ask
> Generic praise, a presumptuous diagnosis and a fixed meeting slot from a stranger.
01 / WHAT AGENCY OPERATORS SAY
The AI is fast. Your clients can't see it.
Agency operators talking about AI outbound on Reddit this year. They aren't MailDignity customers. They're describing the job it does.
"We experimented with it on our own outbound but we never use it for clients. AI SDRs still write stuff that's way too obvious to be AI, or they personalize on something that has nothing to do with the offer, like congratulating someone on a podcast episode before pitching."
Agency operator, r/gtmengineering
"Everyone sends polished emails now. Every agency. Every AI tool. Every template floating around on twitter produces the same clean structured tone."
Runs outbound for 47 companies, r/b2bemailing
"The 'loved your post about X' opener became a tell the moment everyone's tool could generate it, and readers pattern-match fast."
Outbound operator, r/b2bmarketing
02 / THREE VERDICTSTHE SAME EMAIL, THREE WAYS
Ship it, fix it, or stop it.
Every check comes back as a structured verdict with the exact line, the reason and a rewrite. These three are MailDignity's own examples.
Hi Stefan, I saw Growth Agency's recent technical SEO case study. We built a shared inbox for agency teams to keep client requests in one place. Would a short overview be useful?
{
"verdict": "PASS",
"summary": "Specific, short and easy to decline. Ship it.",
"issues": []
}03 / WHERE IT SITSONE ENDPOINT. EVERY CLIENT.
One API call per email. In every client's flow.
[ Client lead data ]→[ GPT / Claude ]→[ MailDignity API ]→[ Instantly / Smartlead ]
Verdicts you can route
Structured JSON on every email, so you decide what a PASS, a REVIEW and a FAIL each do next.
Fits the stack you run
Make, Clay, n8n, Zapier, or anywhere you can send an HTTP request. Works via MCP with your agent. Docs
04 / WHAT IT CATCHESNOT ANOTHER AI WRITER
Powered by cold math, not just warm AI.
Deterministic filters with fixed rules go first. Only then do AI layers read the message and its context.
Confidence, not arrogance.
Flags unasked diagnoses and private-life prying. Don't stop the conversation before it starts.
[ unsolicited_diagnosis · privacy_intrusion ]No more bot compliments.
Catches empty flattery and copy-paste clichés. No more fake familiarity and guilt-trip nudges.
[ generic_flattery · fake_familiarity ]A light ask, not a leap.
No cold Calendly grabs, no homework. One small step tied to the offer.
[ asymmetric_ask · homework ]→ A guardrail, not a snoop: it judges the form of the message, not facts it can't see.
05 / THE AGENCY PLAN
Many clients. One standard.
Deliverability gets the email in. SPF, DKIM and warm-up get it past the filters. Then a human reads it, and that's the part your client is paying you for.
AgencyB2B lead gen agencies
$249/mo
125,000 email checks a month ·$0.0020 per check
- Two-level email audits
- Structured JSON verdicts with rewrites
- API, MCP and app access
Yearly is $2,490, two months free. Cancel any time. Bigger engine? Enterprise is $599 for 500,000 checks. See all plans
06 / FAIR QUESTIONS
Before you put it on a client.
Is this another AI writer?
No. You already have plenty of writers. MailDignity checks, reviews and fixes the outbound they produce: fixed-rule filters first, AI layers after.
We already handle deliverability. Why add this?
SPF, DKIM and warm-up get emails past the filters. Then a human reads, and spots AI slop in a heartbeat. This is the layer for that human.
Will it plug into our clients' stacks?
It's one API call between the generation prompt and the send queue. From code or a no-code stack (Make, Clay, n8n, Zapier), and via MCP with your agent.
Does it judge things it can't know about the prospect?
No. It's a guardrail, not a snoop: it judges the form of the message, not facts it can't see.
Can we test it before committing?
Yes. Paste any client email into the free playground and see how it lands. Plans are monthly or yearly and cancel any time.
Your clients' outbound.
Minus the cringe.
Protect their domains, treat their prospects like peers, and keep the account.