MARKET RESEARCH

Competitor review gap-finder via Brave Search into Notion

On demand, searches the web for reviews of named competitor apps, clusters the complaints with a HuggingFace model.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator triggers with competitor list
  • ActionSearch web for competitor reviewsBraveBrave Search
  • ActionExtract clean review text from resultsFirecrawl
  • ActionCluster complaints into gap themesHugging FaceHugging Face
  • LogicKeep cross-competitor gaps, score by frequency
  • OutputPublish competitor-gap brief to NotionNotionNotion

What it does

Finds where competitors are losing their users. It searches public review and discussion pages for a list of rival products, clusters the recurring complaints, and produces a Notion brief that names each gap, how often it shows up across competitors, and a quote that captures the frustration.

When to use it

Reach for this before a planning cycle or positioning exercise, when you want evidence-backed differentiation rather than guesses about where rivals fall short. Run it ad hoc whenever you add a competitor to watch.

How it works

  1. 1An operator triggers the run with a list of competitor names.
  2. 2Brave Search retrieves review pages, comparison articles, and forum threads for each competitor.
  3. 3Firecrawl extracts clean review text from the top results.
  4. 4A HuggingFace model clusters the complaints into recurring gap themes.
  5. 5Logic keeps gaps that appear across multiple competitors and scores them by frequency.
  6. 6A Notion brief is published listing each gap, its cross-competitor frequency, and a representative quote.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  4. 4
    Connect NotionPages, databases, comments.
  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.

Run this workflow in your colony.

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