MARKETING

Turn a Zoom webinar transcript into a published FAQ page

When a Zoom recording finishes, this pulls the transcript, extracts the audience questions and the presenter's answers.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionFetch webinar transcriptZoomZoom
  • ActionExtract Q&A pairs from transcriptOpenAI
  • LogicSkip if fewer than 3 usable questions
  • ActionFormat pairs into FAQ documentOpenAI
  • OutputPublish FAQ page to ReadMe docsReadMeReadMe

What it does

Every webinar contains a goldmine of buyer questions that never gets indexed. This workflow listens for a finished Zoom recording, retrieves its transcript, and uses an LLM to mine the genuine audience questions and the answers given. It writes them up as a clean, schema-friendly FAQ page and publishes it to your ReadMe docs site, turning a one-time event into an evergreen SEO asset.

When to use it

Run this after any recorded webinar, AMA, or customer Q&A where the audience asked real questions. Best for teams that already host product or support docs on ReadMe and want each session to compound into long-tail search traffic instead of disappearing into a recordings folder.

How it works

  1. 1Zoom fires the recording-completed event for a finished session.
  2. 2The flow fetches the transcript file from Zoom's recording API.
  3. 3An OpenAI step reads the transcript and extracts discrete question/answer pairs, discarding chit-chat and logistics.
  4. 4A logic step drops the page if fewer than three usable Q&A pairs were found.
  5. 5OpenAI formats the survivors into a titled FAQ document with clean headings.
  6. 6The result is published as a new page on your ReadMe docs site.

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
    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.

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