Who’s this for?
This playbook is for product marketers who own competitive intelligence alongside 5 other responsibilities, and for dedicated CI professionals running a team of 1 or 2.
If you’ve tried ChatGPT for CI work and gotten mixed results, this covers what changed: which models handle long documents without losing accuracy, what a working prompt structure looks like, and how to move from one-off summaries to an ongoing intelligence process. No coding required.
What you’ll discover
Why a gap-analysis-led report gets CI a seat in product roadmap conversations.
How to build an AI agent that monitors competitors, updates your battlecards, and notifies sales in Slack, plus the governance rules to keep confidential company data safe.
Which AI model to use for a 500-page analyst report, and which one is more reliable on financial data.
Why a quarterly CI report is already out of date, and what to include in a weekly update that keeps stakeholders current.
The prompt structure that works across ChatGPT, Claude, and Gemini, with sample prompts for competitor monitoring, sentiment analysis, and pricing analysis.
The bootstrapped competitor blind spot: how companies with no funding rounds and no press coverage take market share while your team watches the big, funded rivals.
Get the playbook
48 pages, 10 parts, sample prompts included. Read it on your own time or skim it before your next competitive review.
Get the playbook
48 pages, 10 parts, sample prompts included. Read it on your own time or skim it before your next competitive review.