moat8
Marketing

Influencer outreach pipeline

Finding creators, verifying their numbers, and driving hundreds of conversations toward a booking is work that scales only by hiring. The pipeline runs discovery, contact enrichment, first-touch outreach, and fraud checks on its own, with operators approving each message.

How it works

You giveThe campaign brief: the niche, the geography, the audience parameters, the engagement bar, and the posting frequency you will accept.
The system doesThe pipeline. It searches the open web for creators who fit, extracts and cross-references their contacts, works out the real audience geography, sends a personalised first message in the creator's language, parses the reply, and checks the statistics they send back for signs of manipulation.
You stay in controlOver every message before it is sent. Every conversation shows the suggested next message, and it is sent, edited, or skipped with one click, so tone and edge cases stay human. The level of automation rises as confidence does.
You getA live pipeline of enriched, contacted, verified creators, and a CRM of every contact you have ever made.

Inside the system

08 components
01

Creator search

Creators are found across the open web by niche, geography, audience parameters, engagement ratios, and posting frequency, with thresholds configurable per category. A manager launches a search from the interface, or describes the campaign to the agent and lets it run.

02

Contact unification

For each qualifying creator, contacts are extracted from bios, link-in-bio pages, and connected profiles, then cross-referenced across platforms into a single record. Accounts that previously promoted competing brands are filtered out automatically.

03

Geography inference

Audience location is derived from content language and topic signals rather than the country on the profile, because creators routinely post for a different market than the one they list.

04

First-touch outreach

A personalised first message goes out in the creator's language with a clear goal, usually the channel's audience statistics or the next step. Replies are parsed automatically, and once the requested detail arrives it is captured without anyone asking again.

05

Statistics verification

When screenshots or screen recordings come back, a vision model reads them frame by frame: it checks the account matches, extracts the metrics, flags missing data and outdated time windows, and catches spliced video, cropped screenshots, and mismatched accounts.

06

Operator dashboard

Every conversation appears with the suggested next message. Operators send, edit, or skip with one click, which is what keeps a semi-automatic pipeline safe to run at volume.

07

Manager assistant

The agent sits inside the platform: it launches searches, reads statistics off a screenshot or screencast on request, and helps draft outreach copy and handle objections on the spot.

08

Creator CRM

Every creator found, contacted, and verified stays in your own CRM with the interactions and verification results attached, so the next campaign starts from contacts you already own.

Who it's for

Good fit
Influencer and creator marketing agencies
Brands running creator campaigns at volume in-house
Performance teams that need verified reach, not claimed reach
Any outreach operation where conversion is a volume problem
Not a fit
A handful of long-term creator partnerships managed personally
Campaigns with no repeat volume behind them

What you can configure

01
What qualifies a creatorEngagement and quality thresholds per niche and geography.
02
What the first message saysOutreach copy, language, and the goal each conversation is driving toward.
03
How strict verification isWhat counts as sufficient proof of reach, and what triggers an automatic request for more.
04
How much runs unattendedOperator review on every message, approval on exceptions only, or somewhere between. It moves as your confidence does.

What we need from you

Your campaign criteriaWho you are looking for, by niche, geography, audience, and engagement.
Your best conversationsOutreach that has worked and objections you have handled, so the drafts start from your voice.
One operatorSomeone who can say whether a suggested message is one they would send.

Example use cases

Scaling from 600 to 2,000 creator placements a month

An agency working across Latin America, Southeast Asia, and Africa found and vetted every creator by hand and topped out at 600 placements a month. Once search, outreach, and fraud checks moved into an AI pipeline, it reached 2,000.

Grow placements without growing the team.

Book a demo →