MARKET RESEARCH

Competitor Review Gap Analysis to Notion Brief

Scrapes reviews for a set of competitor apps, uses an LLM to find features users praise in rivals but complain are missing in yours.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run with app + competitor IDs
  • ActionScrape reviews across all appsApify
  • ActionSummarize praised vs missing featuresOpenAI
  • LogicIntersect rival strengths with your gaps
  • ActionRank opportunities by volume + impactOpenAI
  • OutputPublish ranked gap brief to NotionNotionNotion

What it does

This workflow mines your competitors' app-store reviews to find where they win and you lose. It compares what users love about rival apps against what your own reviewers say is missing, then writes a prioritized gap brief into Notion for your next planning cycle.

When to use it

Reach for this before a roadmap review or a competitive teardown, when you want evidence-backed feature gaps rather than gut feel. It is built for product and strategy teams sizing up two or three named competitors.

How it works

  1. 1A manual trigger starts the analysis with your app ID and a list of competitor app IDs.
  2. 2Apify scrapes recent reviews for every app in the set.
  3. 3OpenAI summarizes the most-praised features per competitor and the most-requested features from your own reviews.
  4. 4A logic step intersects competitor strengths with your gaps to surface true opportunities.
  5. 5OpenAI ranks each opportunity by mention volume and estimated impact, writing a short rationale.
  6. 6The workflow creates a Notion page with a ranked table of gaps, supporting quotes, and source apps.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  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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