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AI Outreach

Messages that don't feel AI.

Two-stage pipeline: structured draft + humanizer. The humanizer strips AI-slop (no “unleash”, no “cutting-edge”, no em-dashes). Output sounds like you, not like ChatGPT.

STEP 01
long-form · temp 0.3
Draft
Structured hook → proof → bridge → CTA using lead audit + ICP.
STEP 02
rewriter · temp 0.85
Humanize
Strip em-dashes, vary rhythm, add contractions, kill corporate-speak.
“Hi James, saw The Baker's Yard on Maps. 218 reviews and 4.6★, nice work. Quick one — your WordPress site is from 2014, takes 4.2s on mobile. Is that hurting bookings?”
How the pipeline works

Two passes. Zero slop.

First we generate. Then we humanize. Then we check against a blacklist of 30+ AI tells. Retry up to twice if anything slips through.

01

Structured draft

System prompt includes your offer, ICP, tone, hook style, and the lead's full audit. Output: hook → proof → bridge → CTA. Channel-specific length.

model
Long-form for email · Short-form for chat
temperature
0.3
02

Anti-slop humanizer

Second LLM rewrites for human rhythm: vary sentence length, add contractions, kill em-dashes, strip corporate-speak. Stamps your voice on top.

model
Short-form rewriter
temperature
0.85
03

Blacklist + retry

30+ banned terms across EN+IT (“innovative”, “cutting-edge”, “unleash”). If found, retry humanizer up to 2×. Output is shown to you only after passing.

model
Server-side check
temperature
Before / after

The slop you don't want.

Both messages came from the same prompt. Maplo's humanizer is the difference between “marked as spam” and “marked as read”.

Generic AI
Dear Sir or Madam,

I hope this message finds you well. We are reaching out to discuss innovative, cutting-edge solutions that can transform your business and unlock new opportunities — leveraging our best-in-class expertise to deliver next-level results.

We would be pleased to schedule a call at your earliest convenience.

Best regards,
× em-dash× innovative× cutting-edge× leveraging
Maplo humanizer
Hi James, saw The Baker's Yard on Maps. 218 reviews and 4.6★, nice work.

Quick one — your WordPress site is from 2014, takes 4.2s on mobile. Is that hurting bookings?

We build mobile-first sites for bakeries in 14 days. Want me to send 2 real examples?
specificaudit hookcasualends in question
Channel-aware

One lead, three native messages.

Each channel has its own length, tone, and structure. Maplo generates all three from the same lead + profile data.

WhatsApp
60-80 words
Hi James — saw The Baker's Yard on Maps. The 2014 WordPress site might be costing you mobile customers. Quick demo?
Email
120-180 words + subject
Subject: Quick question about The Baker's Yard

Hi James, ran a quick audit on your site. WordPress 2014, no SSL, 4.2s mobile load. New visitors are likely bouncing.

We build mobile-first sites for bakeries in 14 days, with two real case studies I can send. Open to a 15-min call this week?
LinkedIn
70-100 words
Hi James, came across The Baker's Yard via Maps — impressive reviews. Noticed the site is from 2014. Curious: is mobile traffic still converting? Happy to share a quick audit if useful.
Why this beats generic AI

The details that get replies.

Audit-driven, not template

Each message uses the lead's actual builder, year, mobile-readiness, page-speed. No interchangeable templates.

Voice-matched to you

Setup wizard captures tone, hook style, sample message. Output sounds like you wrote it on a good day.

30+ slop terms banned

“Innovative”, “cutting-edge”, “game-changer”, “best-in-class”, “unleash”. All blacklisted. Retry until clean.

Editable before send

Output lands in a textarea. Tweak before sending. Word count + slop warning live as you edit.

Common objections

We've heard it before.

The honest answers to the concerns that keep teams on the fence.

I can do this in ChatGPT for free.
You can. You'll also paste the lead, the audit, the tone, the structure — every single time. Maplo automates the prompt construction, runs two passes, checks for slop, and serves the output ready to send. 4 seconds vs 4 minutes of prompt engineering per lead.
How do I know it really sounds human?
Free tier gives you 100 leads to test. Generate a message, edit it, send it. You'll know in 24h whether it gets replies. Most users see 2-3× their previous reply rate.
Won't Gmail / WhatsApp flag AI-generated messages?
AI detectors flag patterns (long sentences, formal tone, em-dashes, “however/therefore”). The humanizer specifically removes those patterns. We test against GPTZero and similar — Maplo's output passes as human >90% of the time.
What if my niche needs technical jargon?
Your setup wizard includes a sample message field. Paste one of your best-performing manual messages — the AI uses it as voice reference. Technical jargon stays, slop goes.
Can I customize the slop blacklist?
On Hunter and Scale tiers, yes. Add or remove terms specific to your industry. Default list covers the most common 30 EN+IT corporate-speak phrases.
Which AI model does Maplo use?
We use frontier-tier models from the leading AI labs — the best for long-form (email) and the fastest for short-form (chat). Always the latest available, no lock-in to a specific version. Model improvements ship to you automatically without disruption.
FAQ

Common questions.

  1. 01

    Do messages sound generic?

    No. Every message uses the lead's actual audit data + your voice profile. Generic openers are banned by the blacklist.

  2. 02

    How long does generation take?

    3-5 seconds per message. Two LLM calls (draft + humanize) plus blacklist check.

  3. 03

    Can I see the pre-humanized draft?

    Not in the UI — but regenerate to see variation. The pipeline is opinionated for output quality.

  4. 04

    What languages are supported?

    EN and IT at launch. ES, FR, DE coming Q1 2026. The humanizer is language-aware.

  5. 05

    Can I bulk-generate for many leads?

    Yes — Hunter tier supports bulk-generate from a hunt or saved list. Generate 50 messages in one click.

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