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Marketing

Influencer Outreach Manager

Evaluate creators, match brand briefs, and send personalized outreach — one recipe, two modes.

Research, score, and contact influencer candidates with personalized messages referencing their actual content — without the manual legwork. Cut influencer sourcing time by 80%.

Best forEcommerceConsultingMarketing AgencyProfessional ServicesSaaS
Agents7 required
Duration8-15 minutes

Two complementary modes from one recipe. Outreach Manager mode evaluates a known shortlist of influencer handles: it pulls live engagement data via Verslay Exclusive, scores each candidate on tier, engagement authenticity, brand safety, and audience fit, then drafts personalized outreach messages that open with a specific named piece of the creator's content — never a generic template. Creator Match Engine mode accepts a brand URL or structured brand profile (agency-first, no memory carryover), loads an existing creator database from Google Sheets, Airtable, Coda, or CSV, enriches every candidate with live scrapes across Instagram, TikTok, and YouTube, and scores each creator across seven weighted dimensions (Niche Fit, Audience Fit, Engagement Health, Brand Safety, Price-Tier Match, Visual/Aesthetic Match, Past-Collab Signal). Both modes converge on Phase 4 outreach drafting and Phase 5 distribution — Gmail drafts staged for review, HubSpot contact logging, Slack summary, and memory storage of the creator shortlist and campaign benchmarks.

How it runs

Multi-agent orchestration — here's the flow, step by step.

01

Mode detection, brand profiling (Creator Match Engine) or memory-aware ICP retrieval (Outreach Manager), competitor research, prospecting-context brief

web researcher
02

Live creator discovery via Instagram/TikTok/YouTube scrapes; creator DB load from Sheets/Coda/CSV in Creator Match Engine mode; live engagement recalculation, sponsored-post detection, bot-risk flagging

verslay exclusive creator match engine
02

LinkedIn profile enrichment per creator, Reddit community signals, partner brand detection for Past-Collab Signal dimension

competitive intel
03

Hire/Hold/Reject scoring (Outreach Manager) or 7-dimension rubric scoring with industry weight presets and sheet write-back (Creator Match Engine); fit-vs-reach chart via verslay_chart_create

influencer evaluator
04

Personalized outreach drafting per shortlisted creator referencing specific recent content; contact channel verification; Gmail draft staging

outreach personalizer
05

Final brief assembly: scorecard, fit-vs-reach chart, outreach messages, sequencing plan, collaboration format options, budget estimates; verslay_memorize for campaign context

executive briefing writer
05

User-confirmed email send, HubSpot contact creation with outreach notes, Slack summary delivery, document fallback

distributor

Required Agents

7
  • competitive-intel
  • distributor
  • executive-briefing-writer
  • influencer-evaluator
  • outreach-personalizer
  • verslay-exclusive-creator-match-engine
  • web-researcher

Connections

Required

airtablegooglehubspotverslay_exclusive

Optional

airtablecodaslack

What it does

  • Two modes: evaluate named handles (Outreach Manager) or match brand brief to creator DB (Creator Match Engine)
  • Live engagement data via Verslay Exclusive — never stale claimed metrics
  • 7-dimension match rubric with industry weight presets and visual/aesthetic match for lifestyle brands
  • Fake follower detection and brand safety gate — flagged creators blocked from outreach without user sign-off
  • Sponsored-post density analysis: last 20 posts for hashtag markers and brand-tagged mentions
  • Google Sheets score write-back — Verslay Score, Tier, Live ER%, Brand Safety, Rationale appended to source rows
  • Personalized outreach citing specific named content — no generic openers, under 200 words
  • Agency-first mode with no memory carryover — brand profile rebuilt fresh each run

Example prompt

I have a sustainable skincare brand targeting US women 25–34. Load my creator database from this Google Sheet, enrich the top 100 candidates, score them with the full rubric, and write the scores back to the sheet. Then draft outreach for the top 10.

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