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gooseworks-ai / playbooks-competitor-monitoring-system

Competitor Monitoring System

Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves. This runbook turns that playbook into a repeatable Jetty workflow for defining a competitor watchlist, collecting an…

agent codexmodel gpt-5.5snapshot python312-uveval programmatic8 stepsv1.0.0

Deploy Competitor Monitoring System to your jetty.io

One-click installs this runbook into a collection on your Jetty account. You can run it from the Spot dashboard, schedule it, or pipe inputs in via the API.

Deploy on jetty.io →View source
The shape of the run

8 steps · start to finish.

  1. 1
    Step 1

    Environment Setup

    ▶
    1. Create results_dir if it does not exist.
    2. Confirm client_name, competitors, and client_context are present.
    3. Normalize competitor names and URLs into a consistent list.
    4. Create a working folder for any intermediate notes under /app/results/work.
  2. 2
    Step 2

    Define Competitor Watchlist

    ▶

    Write /app/results/competitor-watchlist.md. For each competitor, include company name, URL, key products or features, founder and executive LinkedIn profiles, known content channels, review profiles…

  3. 3
    Step 3

    Initial Competitive Baseline

    ▶

    For each competitor, collect a baseline using available competitor-intelligence, ad, review, social, and content tools. Compare findings against the client context and write…

  4. 4
    Step 4

    Configure Monitoring Cadence

    ▶

    Use this cadence matrix for the current run:

  5. 5
    Step 5

    Run Monitoring Cycle

    ▶

    Run the relevant monitors for monitoring_cadence. Compare new data against the baseline or previous cycle, then flag significant changes: new product features, pricing changes, new content targeting…

  6. 6
    Step 6

    Produce Intelligence Report

    ▶

    Write /app/results/competitor-report.md with these sections:

  7. 7
    Step 7

    Human Checkpoints

    ▶

    After setup, ask for review of the competitor watchlist and monitoring plan. After each report, ask for review of recommended actions before execution. Mark any unreviewed recommendation as pending…

  8. 8
    Step 8

    Iterate on Errors (max 3 rounds)

    ▶

    If validation fails, inspect /app/results/validation_report.json, correct only the missing or malformed artifact, and re-run validation. Repeat for max 3 rounds, then stop and report any remaining…