Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ AI quality exceeded expectations · Saved our team 10+ hours weekly
Respond to comments with context-aware replies, FAQ routing, and spam filtering.
This automation starts when new comment webhook from Meta Graph API. It openai draft contextual reply and slack escalation approval, then auto-reply posted or human-approved reply published on platform. AI handles generation and decision logic in the middle of the flow.
Read-only visualization of how data moves from trigger to final result.
Instagram or Facebook comment webhook from Meta Graph API
GPT-4o uses Notion FAQ and Shopify catalog for reply
Ambiguous threads escalate to Slack for human reply
Auto-reply posted or human-approved reply published on platform
Process via Meta Insights
Process via OpenAI
Process via Slack
Remove repetitive steps from Auto Reply Comments so your team focuses on high-value work.
Connected apps sync data automatically instead of copy-paste between dashboards.
Standardized logic runs the same way every time, with retries on failure.
Automation runtime
Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.
Est. setup time: ~7 min
Webhook trigger
Activate this workflow to provision the trigger endpoint.
No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.
Meta Graph API comment webhooks feed each new Instagram and Facebook comment into GPT-4o with your FAQ doc from Notion, product catalog from Shopify, and moderation rules. Spam and toxic comments get hidden; product questions get answers with link; praise gets a thank-you; ambiguous threads escalate to Slack for human reply within your SLA window.
Some steps run in preview until their integrations go live.
Enable Instagram and Facebook comment subscription events and verify endpoint.
Sync Notion FAQ pages and Shopify product URLs into prompt context cache, refresh daily.
Blocklists, toxicity threshold, and auto-hide vs. auto-reply rules for sensitive topics.
Comments the AI marks `unsure` create Slack tasks assigned to community manager with 4-hour deadline.
Run 48 hours logging suggested replies without posting; review accuracy before going live.
| Variable | Type | Default | Required |
|---|---|---|---|
| Business Name | text | Your Business | Yes |
| Notification Email | — | Yes | |
| Timezone | select | — | Yes |
| Brand Voice | select | Professional | No |
| Slack Channel | text | #general | No |
You are a community manager for {brand}. Reply to social comments using FAQ and product data. Be warm, concise, and never invent product specs. If unsure, output action: escalate with reason.Detect language and reply in the same language using your bilingual FAQ source.
Workflow batches replies with 2-second spacing to stay within Graph API limits.
Whitelist verified accounts for faster human review path instead of auto-reply.
Humans can edit replies in Meta Business Suite; workflow logs overrides for prompt tuning.
Our team can adapt this template to your exact workflow, apps, and brand requirements.
136 total reviews
Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ AI quality exceeded expectations · Saved our team 10+ hours weekly
Clean workflow design. Connected our stack in one afternoon. Minor learning curve on variables.
+ Support team helped customize quickly · Setup was straightforward
After two weeks live, Auto Reply Comments has become core to our daily ops. Verified install — runs without babysitting.
+ Scales well as we grow · Integrations worked on first try
Meta Graph API comment webhooks feed each new Instagram and Facebook comment into GPT-4o with your FAQ doc from Notion, product catalog from Shopify, and moderation rules. Spam and toxic comments get hidden; product questions get answers with link; praise gets a thank-you; ambiguous threads escalate to Slack for human reply within your SLA window.
Activate Auto Reply Comments with default variables and run a sandbox test.
Scenario: New user installs template and validates output in under 15 minutes.
Connect live apps, map business rules, enable monitoring alerts.
Scenario: Team deploys to workspace after QA sign-off on test runs.
Version 1.2.0 — Improved reliability and Slack notifications for Auto Reply Comments.
Current version: 1.2.0
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