Video summary
The Most Overlooked Way to Make Money On the Internet
Main summary
Key takeaways
Business Idea: SEO-Backed Niche Directory Websites (“Directory Arbitrage”)
Directories are positioned as a low-cost, repeatable way to earn long-term, mostly organic revenue.
Core Claims
- A single ranking event/backlink can generate steady revenue for years.
- Example outcomes cited:
- “One backlink… resulted in 2 years worth” of approximately $2,300–$3,000/month (as claimed by the interview subject).
- Directory ownership count: 6 owned; 3 built/maintained and “cash-flowing/profitable.”
- Combined passive revenue cited from those 3: ~$2,300–$3,000/month total.
- One site alone cited at ~60k–90k monthly organic visitors.
Core Playbook / Framework (Picking Niches + Building Directories)
1) Find “More Demand Than Supply” Niches
- Look for keywords where:
- Search demand is high, and
- Ranking difficulty is low (or manageable).
- “Near me” queries can be used as a starting point for location-based opportunities.
- Use an “asymmetric bet” mindset: high volume + low difficulty.
2) Use Keyword Research + SERP Intent Sanity Checks
Balance:
- Keyword Difficulty (KD) (Ahrefs metric, 0–100 scale)
- Search Volume (monthly searches)
Avoid beginner traps like overly broad natural-competition terms (e.g., “towing near me”).
3) Validate Competition with Competitor “Bounty” Signals
- Find an existing successful directory that appears viable (e.g., “mom-and-pop” scale).
- Treat it as a “bounty”:
- Proof the niche works
- A target to “take over” in SEO terms
- You don’t always need to outrank #1—landing around #2–#5 can still work.
4) Choose Monetization Based on the “Passivity Ceiling”
Preferred model:
- Display ads + light digital products
- More passive/evergreen
- Trade-off noted:
- Sponsorship/sales-heavy models can scale higher revenue, but create “marketing agency” workload.
Keyword-to-Directory Process (Actionable Steps)
-
Start with a broad seed query
- Example: type “near me” into Ahrefs Keyword Explorer.
-
Filter for low KD
- Beginner threshold mentioned: KD ≤ 5 (or even ≤ 3).
- Strong opportunities often appear when KD is in the lower bands while volume remains meaningful.
-
Scroll deeper beyond top results
- Don’t chase branded keywords (e.g., “McDonald’s near me”).
- The creator manually scrolls through many results, including lower-ranked pages.
-
Inspect “keyword intent”
- “Towing near me” is flagged as too broad/advanced (service-heavy + competitive).
- Suggested workaround: use more specific variants such as:
- “emergency towing near me” (lower volume, higher intent).
-
Look for “under-the-hood” long-tail expansion
- Example: shift from lead-gen towing to informational/spec content, such as:
- towing capacity by vehicle make/model
- “Towing capacity” appears as a common modifier word that changes intent.
- Example: shift from lead-gen towing to informational/spec content, such as:
-
Assess resilience (AI vulnerability / evergreen suitability)
- Informational directory content may be vulnerable to Google quality updates / AI overviews.
- Mitigation:
- Find where real human questions persist (e.g., via Reddit).
SEO + Ranking Mechanism: Backlinks as the Main Lever
Positioning
- Backlinks are the main driver of directory rankings (framed as SEO “PVP”).
Backlink Quality Criteria Emphasized
- Domain Authority / Domain Rating (example benchmark cited: “37 domain rating”)
- Referring page traffic (not just raw backlink existence)
- Link domain dilution (avoid pages linking to too many sites)
- User engagement signals are framed as increasingly important, especially with AI spam.
Avoid Obvious Spam
- Skepticism toward paid “backlink services” or Fiverr-style bulk packages.
- Risk mentioned: possible penalty or deindexing.
Practical “Bounty”-Style Link Acquisition Tactic
- Find a relevant, high-authority directory/editorial site already linking to competitors.
- Offer value and request a link swap, for example:
- “Can I pay $50 to swap your link to ours?”
- ROI example cited:
- One strong backlink bought for $50 helped rank #1
- Produced ~$2,000–$2,500/month for about 2 years (thrifting niche)
Data Enrichment + Automation Workflow (Making Directories Useful)
Directories win by being:
- Time-saving
- Accurate
- More than just a raw list of businesses
Data Enrichment as the Differentiator
- Example problem:
- Finding the right cremation service may require checking reviews and confirming specific scenarios (e.g., “horse cremation”).
AI Used for Operational Automation
- AI is described as automation for enrichment.
- Tool mentioned: enrich.directory
- Takes a query concept (e.g., “horse”)
- Scans business profiles
- Uses prompting to determine fit (e.g., “can I cremate a horse at this place?”)
Concrete Examples / Mini Case Studies Referenced
Large-Scale Directory Validation (Market Scale)
Examples cited as proof directories can become big:
- TripAdvisor
- Care.com
- Happy Cow
Dry Ice Niche Directory
- penguindryice.com (Penguin Dry Ice directory)
- Estimated peak traffic cited: ~83,000 monthly visits (Oct 2024 peak)
- Current estimate cited: ~15,000 monthly visitors
- Claims it ranks for ~100,000 keywords despite simple/single-page design
- Argument: brand relevance + authority + backlinks
- Competitor comparison:
- An “ugly” competitor was analyzed; rankings were close enough that link building could allow overtaking
- Design takeaway:
- “Ugly” and mobile-unfriendly hurts, but “ugly yet useful” can still rank and convert if it answers the query.
Movie Locations Directory
- Movie-loations.com (movie filming locations)
- Estimated traffic: ~81,000 monthly visitors
- Described as evergreen and consistent over years
- Monetization estimate: ~$5,000–$6,000/month (mostly from ad placements)
- Note: exact math depends on niche RPM and monetization type; RPM varies widely.
Towing Capacity Directory Concept
- Opportunity found via keyword tooling:
- Long-tail patterns like “toy to Toyota 400 towing capacity”
- Rationale:
- People search for capacity more than for “getting towed,” implying clearer informational intent
- Validation method:
- Check Reddit threads for recurring unanswered questions (signals the SERP is insufficient)
Owned Portfolio Snapshot
- Owned: 6 directory sites; fully executed on 3
- Traffic estimates mentioned:
- Site #1: ~60,000 monthly visitors (also cited as ~85,000–90,000 at another point)
- Site #2: ~8,000–10,000 monthly (fluctuating)
- Site #3: ~6,000 monthly (plasma donation niche mentioned)
- Competitor count small
- KD mentioned: ~70–80
- Revenue model tested via sponsored listings, mostly didn’t meet the original B2B sponsorship plan
- Organic only: revenue described as primarily evergreen organic search.
Metrics / KPIs Explicitly Mentioned
Traffic KPIs
- Directory traffic totals/individual ranges:
- ~60k monthly visitors (peak cited ~85k–90k)
- ~8k–10k monthly visitors
- ~6k monthly visitors (plasma donation directory)
- Combined across main portfolio sites: roughly 70k–90k monthly visitors (implied by the statements)
Revenue KPIs
- Passive income range (combined, organic):
- ~$2,300–$3,000/month
- Display ad RPM guidance:
- Thrifts niche RPM cited around ~$16–$17 (fluctuating)
- Movie directory implied monetization:
- ~81k monthly visitors → ~$5k–$6k/month (estimate)
SEO / Research Targets
- KD thresholds:
- Prefer KD 0–5, ideally ≤ 3
- KD scale:
- Ahrefs KD: 0–100 (0 easiest, 100 hardest)
- Link growth ROI example:
- $50 backlink → rank #1 → ~$2k–$2.5k/month for about 2 years
Operational Guidance / Management Principles
Hands-Off Preference
- Goal: “lunch money” / passive cashflow rather than client work.
- Once rankings stabilize, the claim is they “haven’t touched the websites for ~6 months.”
Portfolio Strategy
- Build multiple directories instead of optimizing a single one.
- Recommendation framing:
- Prefer many smaller sites (500–5,000/month each) over a few high-sales/agency-like sites.
Monetization Menu
Revenue sources mentioned:
- Mediavine / Mediavine Journey (display ads)
- AdSense-like display ad networks (implied)
- Affiliate plays (example: batting cages + related products)
- Digital product sales (example: a $19 PDF selling almost daily on one directory)
Tools and Stack Mentioned (Execution Details)
Research Tools
- Ahrefs
- Core tool for keyword research, competition (KD), and traffic estimates
- SimilarWeb mentioned but corrected/clarified as Ahrefs being the main tool.
Idea Sources / Intelligence
- Google Maps reviews and review tags
- Reddit (social listening; look for recurring questions)
- TikTok comments (location-based demand signals)
CMS / Build Tools
- WordPress
- Elementor Pro
- Geodirectory (programmatic directory page generation at scale)
- WPL import (bulk import data)
- Jet Engine (filtering and directory query experiences)
AI
- AI is used in multi-step processes, especially data enrichment.
- Example tool: enrich.directory
Beginner vs. Advanced Niche Guidance (Avoid Failure Modes)
Beginner-Friendly
- Low KD layered under competitive categories (example: dry ice niche)
- “Dry ice” positioned as lower competition and more realistic to rank early.
Intermediate/Advanced Traps
- Service-based, high-competition “near me” queries with many providers (example: “towing near me”)
- Reason: requires more backlinks and link-building complexity to win.
Motivation / Strategy
- Use early directories to learn SEO fundamentals and prove ranking works.
- Monetization comes after traffic.
“Directory Launch Playbook” (Framework-Like Steps)
- Pick a niche with high demand + low supply signals.
- Use Ahrefs Keyword Explorer (seed like “near me”).
- Filter by KD ≤ 5 (or ≤ 3 for safer beginner picks).
- Validate search intent (broad vs specific modifier terms).
- Look for a “bounty” competitor (successful but not unbeatable).
- Build directory with WP/Webflow (WordPress preferred later).
- Enrich data heavily; automate enrichment where possible (AI).
- Win via backlinks (manual outreach + swaps).
- Monetize with display ads + digital products first for hands-off operation.
- Scale via a portfolio of directories.
Presenters / Sources Mentioned
-
Freychu
- Interview subject; directories focused on “near me” and niche directory building
- Mentions of posts on YouTube (under his name) and X/Twitter.
-
Kerner (Office / Kerner office)
- Mentioned as host/channel context; not otherwise substantively described.