🌟 Editor's Note
Outcome: A structured teardown of your top competitors’ funnels, offers, pricing, positioning, and customer acquisition strategies — summarized into one clean spreadsheet.
You’ll need (20–40 min): ChatGPT (or LLM of choice), Google Sheets, and your competitors’ public-facing assets (websites, ads, landing pages, social accounts, pricing pages, review pages).
Tip: Stick to public data only. No scraping behind logins or private info.
🗓️ Upcoming Deadlines
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At the end of this 10-issue series, we’ll host a live workshop where we build an AI Money Model in real-time. Want your business to be the example? Apply now.
Workshop Date: Saturday, Sep 20, 2025 at 10:00 AM CT
Application Deadline: Friday, Sep 12, 2025
👉
Reader Challenge: Competitor Dissector Agent
Run the Competitor Dissector prompt on your niche this week.
Deadline: Sunday, Aug 31, 2025
Where: Reply to this email with the #1 strategic angle you uncovered.
🔑 Today’s Big Idea
Most entrepreneurs copy competitors blindly — and end up blending in.
The Competitor Dissector Agent flips the script by tearing apart what’s actually working: their pricing, funnels, hooks, guarantees, and upsells.
It doesn’t just spy — it shows you the gaps your rivals left wide open.
That’s where you step in and win.
When you know exactly where competitors are strong (and weak), your unfair advantage practically builds itself.
🔧 Tool of the Week — Competitor Dissector
Step 0 — Competitor Hunt (5 min)
Identify 3–5 direct competitors. Grab links to:
Homepage + key product/service pages
Pricing/plan pages
Landing pages (from ads if visible)
Social profiles (LinkedIn, Twitter/X, TikTok, etc.)
Ad libraries (Facebook Ads Library, Google Ads Transparency Center)
Review sites (G2, Capterra, Yelp, Amazon if relevant)
Master Prompt (Tell-and-Show Format)
Paste this once, then feed in competitor URLs or text when prompted:
IDENTITY
You are “Competitor Dissector,” a market intelligence agent that reverse-engineers competitors’ funnels, offers, positioning, and pricing models to surface patterns and opportunities.
CONTEXT
Niche: {your niche in 1–2 lines}
Target buyer: {who they are + job title/role}
Goal: Dissect competitors’ public assets into structured data for benchmarking and opportunity-spotting.
GUIDELINES
- Analyze only the public URLs or pasted text I provide.
- Be specific, preserve competitor language.
- Output clean tables.
- Highlight unique angles vs. “me too” plays.
- Assume I’m comparing across multiple competitors → keep formatting consistent.
OUTPUT #1: RAW FINDINGS (TABLE)
Columns (exactly):
competitor | product/offer | headline/promise | funnel_steps | pricing_model | key_features | differentiators | objections_seen | acquisition_channels | representative_quote | source
OUTPUT #2: COMPARISON SUMMARY
- Table: competitor × {offers, pricing tiers, funnel length, channels used}
- 1–2 bullets: positioning summary per competitor
OUTPUT #3: STRATEGIC ANGLES
- Gaps: Where no one is competing strongly
- Overlaps: Where everyone sounds the same
- Edge: Where you can win (faster funnel, clearer promise, new channel, pricing shakeup)
Fast “Paste-Only” Prompt (for raw page text)
Use this if you’ve copied content from a competitor page (pricing table, landing page copy, ad text, etc.):
DATA (Competitor: {name}, Page: {type}):
"""
{paste competitor content here}
"""
Task: Extract rows for RAW FINDINGS using the same columns:
competitor | product/offer | headline/promise | funnel_steps | pricing_model | key_features | differentiators | objections_seen | acquisition_channels | representative_quote | source({competitor, page})
Return only a markdown table.
CSV Export Prompt (for Google Sheets)
Convert the current RAW FINDINGS table into CSV.
- Use commas as separators.
- Escape commas in quotes.
- No extra commentary.
Weekly Auto-Refresh (Optional, ~15 min setup)
Scraper: VisualPing, Hexomatic, or Browse AI → monitor competitor pricing/offer pages weekly.
Ad tracking: Use Facebook Ads Library alerts or Similarweb to catch new campaigns.
Storage: Append to “competitor_feed” tab in Google Sheets.
Summarizer Agent (weekly):
Summarize changes in competitor_feed since {YYYY-MM-DD}.
1) New offers/pricing shifts
2) Ad/funnel changes
3) Emerging objections from reviews
4) Channel expansion/contraction
5) Strategic opportunities
✅ Done-When Checklist
3–5 competitors logged in RAW FINDINGS
Comparison table filled for funnels, pricing, offers
Gaps/overlaps clearly identified
“Strategic Angles” list of 3–5 actionable plays
Optional: Auto-refresh set up
🚀 What You’ll See Immediately
Competitor funnels → mapped in one place
Clarity on price anchoring and differentiation plays
Blind spots you can exploit instantly
Confidence your offers aren’t “me too”
🧠 New! Walk Through Every Agent With Me
We just launched the Agents OOTI: Automate Your Money Models course.
Step-by-step video walkthroughs of each agent from the newsletter — starting with Agent 1: Market Mapper.
🎓 Log in, watch the demo, then build your version.
→ Access it now inside the new membership portal: https://members.outoftheinternet.com/courses/offers/cda0bde0-563c-43b4-aa45-4855a2c77ecd
🤔 Did You Know?
In 1997, IBM’s Deep Blue beat world chess champion Garry Kasparov.
It wasn’t just a win at chess — it was the first time a machine outperformed the best human in a domain requiring strategy.
Competitor Dissector Agent channels that same edge: instead of playing chess, it plays the business game — scanning your rivals’ moves, spotting their weaknesses, and mapping the winning strategy for you.
Till next time,
AI Out of the Internet — Newsletter
👉 Ready for Agent 3: Dream Client Profiler?
Next issue we’ll build a living, data-driven avatar from real bios, reviews, and posts — not guesses.
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