MARKET RESEARCH
Competitor Review Gap Analysis: Find What Their Users Wish You Had
Scrapes reviews of named competitor apps, extracts the features their users praise and the gaps they complain about.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule fires
- ActionScrape competitor app reviewsApify
- ActionExtract strengths and gaps per competitorOpenAI
- LogicCompare across competitors for open gaps
- OutputPublish positioning brief to NotionNotion
What it does
This workflow mines your competitors' app-store reviews instead of your own. It pulls reviews for a list of rival apps, has an LLM separate what users love from what they hate, and produces a Notion page that maps competitor strengths and weaknesses into concrete positioning and roadmap opportunities for your product.
When to use it
Use it before a planning cycle or a launch when you want evidence-based competitive intel rather than guesswork. Useful for product marketing and strategy teams building a differentiation story.
How it works
- 1A monthly schedule starts the run over a configured list of competitor app IDs.
- 2Apify scrapes recent reviews for each competitor.
- 3OpenAI extracts praised features and recurring complaints per competitor and tags each as a strength or gap.
- 4A synthesis step compares findings across competitors to surface gaps no one solves well.
- 5A Notion page is created with a competitor matrix, top opportunities, and supporting quotes for the strategy team.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Discover Adjacent Segments from BigQuery and Rank Expansion Bets
On a schedule, scans BigQuery public industry data for fast-growing NAICS sectors adjacent to your core segments, scores them as expansion bets.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
