MARKET RESEARCH
Multi-Competitor Comparison Matrix Builder
On demand, researches a set of named competitors across the same criteria, normalizes the findings into a side-by-side feature and pricing matrix.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook: competitor list + dimensionsHTTP webhook
- ActionScrape pricing + product pagesFirecrawl
- ActionFill gaps with external researchPerplexity
- ActionNormalize onto shared dimensionsOpenAI
- OutputWrite comparison matrix to SheetGoogle Drive
What it does
Builds an apples-to-apples comparison across several competitors at once. Given a list of companies and the dimensions you care about, it researches each on identical criteria, normalizes the results so cells are actually comparable, and writes a clean matrix to a spreadsheet ready for a strategy deck.
When to use it
Use it for market-mapping exercises, board prep, or pricing strategy where you need every competitor scored on the same axes. It replaces the brittle hand-built grid that's always half-filled and inconsistent.
How it works
- 1A teammate submits a webhook with the competitor list and the comparison dimensions (e.g. pricing model, target segment, key features, integrations).
- 2Firecrawl scrapes each competitor's pricing and product pages for first-party facts.
- 3Perplexity fills gaps with external research where the sites are thin.
- 4OpenAI normalizes every competitor onto the shared dimensions and resolves conflicting sources into one value per cell.
- 5The completed matrix is written to a Google Sheet with one row per competitor and one column per dimension.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect Google DriveDocs, sheets, slides, files.
- 5Connect HTTP webhookTrigger any URL on agent actions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Weekly Materiality-Ranked Filing Digest by Email
Each Friday, aggregates the week's regulatory filings across the coverage universe, ranks them by materiality.
Earnings Keyword-Spike Alert into Linear
Scans new earnings-call transcripts for a set of strategic keywords you care about, and when a competitor's mention frequency spikes above its historical baseline.
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.
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.
Cross-Competitor Theme-Shift Analyst
An agent that gathers the latest earnings transcripts across all tracked competitors, compares this quarter's themes against the prior quarter stored in Coda.
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.
