MARKETING

Draft FAQ entries only for questions competitors don't already answer

On a schedule, this reviews recent webinar questions, crawls competitor FAQ and help pages.

CategoryMarketing
Enginesim
Difficultyadvanced
Triggerschedule
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionLoad captured webinar questionsNotionNotion
  • ActionCrawl competitor FAQ pagesFirecrawl
  • ActionMatch questions to competitor coverageOpenAI
  • LogicKeep only unanswered gap questions
  • ActionDraft answers for gap questionsOpenAI
  • OutputStage drafts in Notion review boardNotionNotion

What it does

Not every captured question is worth a page. This workflow compares the questions your webinar audiences asked against what competitors already rank for, then drafts answers only for the white-space topics. It crawls competitor help and FAQ pages with Firecrawl, lets an LLM decide which audience questions are under-served, and stages polished drafts in Notion for an editor to approve.

When to use it

Use it when you run frequent sessions and can't publish everything — you want to prioritize FAQ content that has a real shot at ranking because rivals haven't covered it. Ideal for SEO and content teams who triage in Notion before publishing.

How it works

  1. 1A weekly schedule starts the run.
  2. 2A Notion read pulls the backlog of captured webinar questions.
  3. 3Firecrawl crawls the configured competitor FAQ and help-center URLs.
  4. 4An OpenAI step matches each audience question against competitor coverage and flags the gaps.
  5. 5A logic step keeps only questions with no strong competitor answer.
  6. 6OpenAI drafts an answer for each surviving gap question.
  7. 7The drafts are written to a Notion review database tagged 'needs editor'.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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