SOCIAL MEDIA

Weekly Comment-to-FAQ Backlog Builder

Every week, pulls fresh comments across your social posts, clusters the repeated questions with an LLM.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionFetch recent comments from connected platformsSocial publishing
  • ActionCluster comments into canonical question topicsOpenAI
  • LogicRank by recurrence and drop one-off noise
  • OutputUpsert ranked FAQ backlog into AirtableAirtableAirtable

What it does

This workflow turns the noise of social comments into a prioritized FAQ backlog. Once a week it harvests recent comments from your connected platforms, asks an LLM to group near-duplicate questions into canonical topics, counts how often each topic recurs, and lands a ranked list in Airtable. Topics asked five times outrank topics asked once, so your content team writes the posts that actually relieve support load.

When to use it

Use it when the same questions keep surfacing in comments and replies but nobody has a single view of which ones are worth a dedicated FAQ entry or post. Ideal for community managers and content teams who want a steady, evidence-backed backlog instead of guessing.

How it works

  1. 1A weekly schedule fires the run.
  2. 2The post-to-platforms connector fetches recent comments across your linked accounts.
  3. 3An OpenAI step clusters the raw comments into canonical question topics and tags each with intent.
  4. 4A logic step ranks topics by recurrence count and drops one-off noise below threshold.
  5. 5The ranked backlog is upserted into an Airtable table, deduped against existing rows.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.