Community Management · role

One community presence,
everywhere your buyers actually decide.

One always-on outcome built from three agents — Reddit, Facebook Groups, and niche forums. They find the conversations worth joining and draft brand-voice replies for your team to review and post. Always-on. Never autonomous. No new hire.

See how it works
The role it replaces

The work of a community manager — delivered as an outcome.

A community manager owns the relationships, not the campaigns. They are the brand's human face in the spaces where buyers actually talk. This outcome delivers that job as a result, not a headcount.

01 · What the role covers

Listen, respond, moderate, engage.

The day-to-day of community management, run across every channel that drives a purchase decision.

Monitoring Responding Moderating Social listening Engagement Escalation Reporting Crisis watch
02 · The 2026 shift

From doing to designing.

The role is changing. The human's job moves to defining the workflow, setting the guardrails, and reviewing AI-assisted drafts — while publishing and member-impacting actions stay under human control.

That is exactly the model this outcome runs on. The agents handle the listening, classification, and drafting. Your team designs the guardrails once and keeps a hand on every published reply.

03 · Posts under a credible persona

A person, not a logo.

Communities engage more openly with a named representative than a brand account — the persona is built around that from day one.

04 · Surfaces intent signals

Acts in hours, not weeks.

Purchase, complaint, praise — the signals that matter, caught while the conversation is still live.

05 · Always-on coverage

Never on holiday.

No gap when one person is off. The outcome runs every day and improves with every interaction.

The economics

A five-figure salary, or an outcome.

Hiring a community manager to cover even a single channel properly is a five-figure annual commitment — and covering Reddit, Facebook, and niche forums realistically takes more than one person.

Community manager salary · base pay alone
US · Glassdoor $67,721 Average base
US · Built In $76,117 Total comp ($68,770 base)
US · range $42K–$108K+ Entry to senior
UK · Indeed £35,255 Average base
UK · IT Jobs Watch £55,000 Median (senior £75K+)

Before recruitment, on-costs, benefits, management overhead, and holiday or sick cover.

The outcome · all three channels
KB Build $999 once
Per agent $149/mo
Three agents ~$447/mo
Infrastructure ~$50–95/mo

A full year of all three agents plus the one-time KB Build lands well under a single junior salary — always on, and improving with use.

Use cases

Built for automotive. Briefed for your category.

Same brief format. Different communities, different threads, different technical depth. Brand archetypes below are illustrative; community examples are real, and specific metrics come from your own community research at onboarding.

How it works

Seven steps, end to end.

From raw community signal to posted reply and weekly report — the full workflow every agent runs, every day, into one shared review stream.

Step 01

Listening

Each agent runs on a daily schedule, pulling live content from your agreed subreddits, Facebook Groups, and forums. Filters against your keyword list and post quality — text-free posts discarded. Result: a focused list of conversations where your brand can contribute.

Automated · every morning
Step 02

Classification

Each thread or post is classified into a category: product recommendation, technical setup, warranty, competitor comparison, general education, complaint, news, or general. This determines which knowledge sections load for the draft — not the entire database.

Automated · per item
Step 03

Drafting

The classified item plus relevant knowledge goes to the language model. The agent reads brand knowledge, category context, tone, and guardrails — then generates a draft reply. It can call a live web search for confidence gaps: specs, compatibility, regulations.

Automated · per item
Step 04

Review

The draft arrives as a threaded message in Slack, Google Chat, or Teams — with the source community, original title, a direct link, an excerpt, and the draft. Your team responds in natural language: "Looks good" approves, "Make it shorter" triggers an instant redraft. The agent holds full context.

Human · your team
Step 05

Posting

Your team member copies the approved draft and posts from the brand or representative account. No agent ever posts directly. It confirms, logs the comment URL, and records the outcome.

Human · your team posts
Step 06

Learning

Every interaction is stored — draft, feedback, quality rating. Accumulated data improves future drafts across all three agents. The system compounds with use: the longer it runs, the better it knows your voice.

Automated · ongoing
Step 07

Reporting

One weekly performance report across all active agents, delivered to the same channel. KPIs agreed during onboarding — not generic metrics. Sentiment trend, share of voice, referral conversions, and draft acceptance rate.

Automated · weekly
The knowledge layer

Five files. Built once. Used by every agent.

The agents' intelligence isn't generic. They load your brand's specific knowledge for every conversation — and only the sections relevant to that item's category. Built once, shared across all three agents.

File 01

Persona

Who is speaking — the account type, their role, and how they present in the community. Built around the account strategy you choose for each channel.

Built during onboarding call
File 02

Brand knowledge

Products, specs, positioning, and proof points. The agents draw on this to answer technical questions accurately without hallucinating specifications.

Built during onboarding call
File 03

Category knowledge

The broader technical landscape: community vocabulary, common questions, context your buyers assume. Only the relevant sections load per item — not the entire database.

Built during onboarding call
File 04

Tone guide

Register, energy, vocabulary used and avoided. The difference between a knowledgeable peer and a corporate account is in this file.

Built during onboarding call
File 05

Guardrails

What the agents must never say — competitor references, pricing claims, warranty language, regulatory sensitivities. Brand-specific, not a generic filter. This file protects you.

Built during onboarding call
Yours to own

Your database

All five files live in your own Neon database. EsitoLabs updates them as your brand evolves. When you end the engagement, you keep everything.

Client-owned · always
Infrastructure

Your tools. Your data. Your bill.

The outcome runs on client-owned infrastructure. EsitoLabs builds and maintains it. You own it and pay the costs directly — no markup, no lock-in.

Monthly infrastructure cost · $50–95
n8n~$20/moWorkflow engine · scheduling, filtering, classification
ScrapeCreators$5–15/moData API · live content from subreddits, Groups, forums
AI provider$20–50/moLanguage model · Anthropic default; OpenAI / Google supported
NeonFreeDatabase · brand knowledge, draft history, feedback, URLs
Fly.io$3–6/moHosting · agents run 24/7, encrypted secrets
Security

Nobody can read your keys back.

API keys and credentials encrypted in your Fly.io account. Nobody — including EsitoLabs — can access them once set.

Kill switch

Suspended in 30 seconds.

EsitoLabs can pause the entire outcome in 30 seconds via a config change. When you end the engagement, you keep the tools, the database, the draft history, and all five knowledge files.

Chat platform

One channel. All drafts, reports, redrafts.

The outcome exists as a named application in your Slack, Google Chat, or Teams workspace — with its own avatar and badge. Every agent's activity flows through one auditable stream.

Onboarding

Live in 1–2 weeks. The one exception is a new Reddit account.

The outcome is assembled channel by channel. Most agents are live within one to two weeks of sign-on — only a brand-new Reddit account needs longer.

Facebook · Niche forums · existing Reddit

Fast track — 1–2 weeks

No warmup required. Public Facebook Groups and niche forums don't enforce account-age rules, and an existing Reddit account is ready to go.

  • One onboarding call to build the brief and target list
  • Tool accounts and chat app set up during the call
  • Full end-to-end test with your team before sign-off
  • Retainer starts at go-live — not at signing
1–2 weeks
To first live reply
No warmup
For these channels
New Reddit account

Warmup track — 6–8 weeks

Reddit removes ~100,000 accounts per day for bot activity. A new account needs history and karma before it can participate credibly. A technical necessity, not a commercial one.

  • EsitoLabs provides daily comment drafts during warmup
  • Your team member posts 10–30 min/day to build karma
  • Weekly shadowban checks and moderator outreach at completion
  • EsitoLabs signs off go-live; the retainer starts then
6–8 weeks
Reddit warmup only
10–30 min
Daily warmup activity
Who does what

Clear responsibilities. No grey areas.

EsitoLabs builds, runs, and improves the agents. Your team reviews drafts, posts to each platform, and owns the accounts. That division is the design.

EsitoLabs

We build and run the machine.

  • Agent build, deployment, and ongoing maintenance
  • Initial knowledge base build and ongoing updates
  • Chat platform app creation and configuration
  • Detection, classification, and draft generation
  • Weekly performance report across all agents
  • Reddit warmup drafts, shadowban checks, and moderator outreach
Your team

You control the posting.

  • Draft review and approval (in Slack / Chat / Teams)
  • Posting approved replies from your accounts
  • Platform account ownership and management
  • DMs and mod / admin mail (agents do not handle these)
  • Tool account creation, billing, and credential management
  • Draft quality scoring and feedback (and warmup posting)
FAQ

Questions about the outcome.

Straight answers on how it works, what it costs, and what you're signing up for.

It is one always-on outcome built from three agents working in parallel — the Reddit Community Agent, the Facebook Community Agent, and the Niche Forums Agent. Together they monitor the communities your buyers live in, draft brand-voice replies, and route them to your team for review. The agents do the listening and drafting; your team does the judgment and posting.

No. You can start with one agent and stack the others as you are ready. Each agent is $149/mo, with no bundle discount — Reddit and Facebook are live today, and the Niche Forums Agent is coming soon.

A community manager covering even a single channel is a five-figure annual commitment — roughly $68K–$76K in the US and £29K–£55K in the UK, before recruitment, on-costs, and cover. The outcome covers all three channels for a $999 one-time KB Build, ~$447/mo for three agents, plus ~$50–95/mo of client-owned infrastructure.

No. Every draft is reviewed and approved by your team before it is posted. No agent has the ability to post directly — every published reply has a human hand on it.

Approximately $50–95 per month, billed directly to you: n8n (~$20), ScrapeCreators ($5–15), an AI provider (~$20–50), Neon (free tier), and Fly.io (~$3–6). EsitoLabs does not mark up these services.

Facebook and Niche Forums go live in 1–2 weeks. Reddit is 1–2 weeks with an existing account, or 6–8 weeks of warmup for a brand-new account. EsitoLabs can suspend the whole outcome in 30 seconds via a config change, and you keep everything if you leave — knowledge base, draft history, tools, and credentials are in your accounts from day one.

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