Marketing Multi-Agent Orchestrator

Coordinate specialized AI agents to accomplish complex marketing workflows that would overwhelm a single agent. Pattern: one person directing a team of intelligent marketing specialists.

Core Architecture

┌─────────────────────────────────────────────────────────────────┐ │ MARKETING TEAM LEAD │ │ • Loads context (voice, product, story, constraints) │ │ • Decomposes campaign → subtasks │ │ • Assigns agents, monitors progress │ └─────────────────┬───────────────────────────────────────────────┘ │ ┌─────────────┼─────────────┐ ▼ ▼ ▼ ┌───────┐ ┌───────┐ ┌───────┐ │RESEARCH│ │RESEARCH│ │ ... │ ← Parallel market research │Agent 1 │ │Agent 2 │ │ │ └───┬────┘ └───┬────┘ └───────┘ │ │ └─────┬──────┘ ▼ ┌───────────┐ │CONTENT LEAD│ ← Synthesizes research, briefs copywriters └─────┬─────┘ │ ┌─────┼─────┐ ▼ ▼ ▼ ┌─────┐┌─────┐┌─────┐ │COPY ││COPY ││COPY │ ← Platform-specific copywriters │ 1 ││ 2 ││ 3 │ └──┬──┘└──┬──┘└──┬──┘ └──────┼──────┘ ▼ ┌───────────┐ │REVIEW HUB │ ← Human approval gate (REQUIRED) └─────┬─────┘ ▼ ┌───────────┐ │ EXECUTION │ ← Browser agents, schedulers, follow-up └───────────┘

When to Use This Skill

• Outbound lead generation campaigns — Finding and engaging prospects across platforms

• Multi-platform content launches — Coordinated messaging across Reddit, LinkedIn, Twitter, etc.

• Research-to-content pipelines — Market research → insights → platform-native content

• Personalized outreach at scale — Email sequences, DM campaigns, comment strategies

• Brand awareness blitzes — Rapid, coordinated presence building

Workflow Execution

Phase 1: Context Loading

Marketing Team Lead immediately gathers:

• Voice Profile — Tone, vocabulary, personality markers, brand guidelines

• Product/Service Brief — What you're selling, key differentiators, pricing

• Target Persona — ICP details, pain points, where they hang out online

• Story Arc — Founder journey, credibility signals, social proof, case studies

• Constraints — Platforms, budget, timeline, compliance rules, no-go topics

Context Checklist

• Voice profile loaded (tone, vocabulary, do's/don'ts)
• Product brief reviewed (features, benefits, differentiators)
• Target persona defined (demographics, psychographics, platforms)
• Story elements ready (founder story, testimonials, proof points)
• Constraints documented (platforms, budget, compliance)

Phase 2: Campaign Decomposition

Break user request into parallel-executable subtasks:

User: "Get me leads from Reddit and LinkedIn" ↓ Subtasks: [Research-Reddit] → Find relevant posts via API/browse [Research-LinkedIn] → Browse for matching discussions [Synthesize] → Combine findings, dedupe, prioritize [Create-Reddit] → Draft Reddit-native comments [Create-LinkedIn] → Draft LinkedIn-native comments [Review] → Human approval checkpoint [Execute] → Post with natural timing [Monitor] → Track responses, escalate replies

Phase 3: Agent Assignment

Each subtask maps to a specialist role:

Role Responsibility Output

Reddit Scout Find relevant posts, assess engagement potential Ranked opportunity list

LinkedIn Scout Identify target posts/profiles Prospect list with context

Content Lead Synthesize research, create briefs Platform-specific briefs

Reddit Copywriter Community-native comments Draft comments + context

LinkedIn Copywriter Professional engagement copy Draft comments/messages

Twitter Copywriter Thread-aware, punchy copy Tweets/thread drafts

Email Copywriter Personalized outreach Email sequences

Execution Agent Post approved content Confirmation + metrics

Key principle: Specialists don't multitask. One agent = one job.

Phase 4: Research Execution

Research agents operate in parallel:

Reddit Scout:

• Search keywords in target subreddits

• Filter by recency, engagement, relevance

• Flag posts where authentic engagement makes sense

• Note community rules and norms

LinkedIn Scout:

• Browse industry hashtags and topics

• Identify high-engagement posts from non-competitors

• Find prospects matching ICP

• Note connection opportunities

Output format:

Research Finding

Platform: Reddit Location: r/startups Post: "How I got my first 10 customers" Engagement: 47 comments, 234 upvotes Relevance: HIGH — discusses exact pain point we solve Angle: Share relevant insight, mention similar experience Risk: LOW — genuine value-add opportunity

Phase 5: Content Lead Synthesis

Content Lead does NOT write final content. Instead:

• Synthesizes research into actionable briefs

• Identifies platform-specific requirements

• Creates detailed specs for each copywriter

• Maintains brand voice consistency across outputs

Brief format:

Content Brief: Reddit Comment

Target: r/startups post about first customers Goal: Add value, build credibility, soft brand mention Angle: Share a specific tactic that worked for us Voice: Casual, helpful, founder-to-founder Length: 2-3 paragraphs max CTA: None explicit — just be helpful Avoid: Self-promotion smell, link dropping, sales pitch

Phase 6: Specialist Execution

Platform specialists receive briefs and produce drafts:

Reddit Copywriter:

• Conversational, community-native tone

• Avoids self-promo smell (critical for Reddit)

• Adds genuine value before any mention

• Respects subreddit culture

LinkedIn Copywriter:

• Professional but not corporate

• Credibility-forward (stats, results, experience)

• Hook-driven opening

• Clear value proposition

Twitter Copywriter:

• Punchy, thread-aware

• Hashtag-strategic (not hashtag-spam)

• Quote-tweet friendly

• Engagement-optimized

Email Copywriter:

• Personalized opening (research-based)

• Clear, single CTA

• Spam-filter-aware language

• Follow-up sequence ready

Phase 7: Review Hub (REQUIRED Human-in-the-Loop)

Critical gate before ANY external action.

Present to user:

• All generated content with source context

• Target destinations (specific posts, profiles, emails)

• Proposed timing/schedule

• One-click approve/edit/reject per item

Review Queue

Item 1: Reddit Comment

Target: r/startups — "How I got my first 10 customers" Draft:

Great breakdown! We had a similar experience with our first 10. What worked for us was [specific tactic]. The key insight was [value-add]. Happy to share more details if helpful.

Timing: Today, 2:34 PM (3 hours from now) Status: ⏳ Awaiting approval

[✓ Approve] [✏️ Edit] [✗ Reject]

Item 2: LinkedIn Comment

Target: Jane Doe's post on B2B sales Draft:

This resonates. We saw a 40% increase in response rates when we shifted from [old approach] to [new approach]. The data backed what you're saying here.

Timing: Tomorrow, 9:15 AM Status: ⏳ Awaiting approval

[✓ Approve] [✏️ Edit] [✗ Reject]

Phase 8: Execution Layer

After approval, execution agents:

• Post content at staggered, natural intervals

• Send messages / connection requests

• Monitor for replies → escalate to user immediately

• Track engagement metrics

• Report daily summary

Timing rules (critical for not looking like a bot):

• 3-15 minute random intervals between actions

• Respect platform rate limits strictly

• Pause during off-hours (user's timezone)

• Vary posting times across days

• Never bulk-post

Safety & Compliance Rules

• Never auto-execute — All external actions require human approval

• Rate limit respect — Agents must honor platform limits (hard requirement)

• Identity disclosure — Don't claim to be human when asked directly

• Privacy boundaries — No scraping private data without consent

• Compliance hooks — Flag potential legal/regulatory issues before execution

• No spam — Quality over quantity, always

• Authentic value — Every interaction must genuinely help the recipient

Quick Start: Lead Gen Campaign

1. Load context

Team Lead reads: voice profile, product brief, target persona

2. Spin up research agents (parallel)

Reddit Scout: Search [keywords] in [subreddits], last 7 days, min 10 engagement LinkedIn Scout: Browse [industry] posts, engagement > 50, last 7 days

3. Synthesize findings

Content Lead produces briefs for top 15 opportunities

4. Generate content (parallel)

Reddit Copywriter: Draft comments for 8 Reddit opportunities LinkedIn Copywriter: Draft comments for 7 LinkedIn opportunities

5. Review (REQUIRED)

Present all 15 drafts in review hub User approves 12, edits 2, rejects 1

6. Execute

Execution agents post 14 approved items over 2 days Natural timing: 3-15 min random intervals Pause overnight

7. Monitor & Report

Track engagement, escalate replies immediately Daily summary: 14 posted, 3 replies, 2 profile views

MCP Integration Points

For external services, create MCP servers:

Service MCP Server Key Tools

Reddit reddit-mcp search_posts , get_comments , post_comment

LinkedIn linkedin-mcp search_posts , get_profile , send_message

Twitter twitter-mcp search_tweets , post_tweet , reply

CRM crm-mcp get_leads , update_lead , create_task

Email email-mcp draft_email , send_email , schedule

Metrics to Track

Metric Description Target

Engagement rate Replies + reactions / posts

5%

Reply rate Direct responses received

10%

Lead conversion Engaged → qualified lead

2%

Time to first reply Hours until prospect responds <24h

Platform health No warnings, bans, rate limits 100% clean

Anti-Patterns to Avoid

Don't Do

Bulk post same content Customize each interaction

Drop links immediately Add value first, link later (if ever)

Ignore community norms Research subreddit/group culture first

Over-automate Human review on every external action

Chase vanity metrics Focus on genuine conversations

Sound like a bot Match platform's native voice

Spam hashtags Use 2-3 relevant tags max

Mass DM strangers Engage publicly first, then DM