MARKETING

Publish a webinar FAQ page and route follow-up questions back to sales

After a webinar, this builds and publishes an FAQ page to ReadMe, announces it in Slack.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionFetch webinar transcriptZoomZoom
  • ActionSplit educational vs buying questionsOpenAI
  • ActionPublish FAQ page to ReadMeReadMeReadMe
  • LogicBranch if buying questions exist
  • ActionAlert sales with buying questionsSlack
  • OutputAnnounce FAQ page in content channelSlack

What it does

Webinar questions split into two buckets: education that belongs on an FAQ page, and buying signals that belong with sales. This workflow does both. It transcribes the Zoom session, publishes the educational Q&A as a ReadMe FAQ page for SEO, posts the new page link to a Slack content channel, and separately routes high-intent purchase questions to sales as actionable alerts.

When to use it

Use it for sales-led webinars and product demos where the audience mixes how-to questions with pricing, comparison, and 'can it do X' buying signals. Best when marketing owns the docs page and sales needs the warm questions surfaced fast.

How it works

  1. 1Zoom fires the recording-completed event.
  2. 2The flow fetches the transcript.
  3. 3OpenAI splits questions into educational versus high-intent buying questions.
  4. 4OpenAI formats the educational set into an FAQ page and publishes it to ReadMe.
  5. 5A logic step checks whether any high-intent questions exist.
  6. 6If so, each buying question is posted to the sales Slack channel with asker context.
  7. 7The new FAQ page link is announced in the content Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ReadMeAPI docs, changelog, auth.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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