Sign up to save your podcasts
Or
Share TDC 071: How to Get Your Website to Show Up in ChatGPT…
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
TDC 071: How to Get Your Website to Show Up in ChatGPT…
TDC 071: How to Get Your Website to Show Up in ChatGPT…
The 2025 version of ranking #1 on Google—master these AI concepts before your competition does.
Episode Summary:
In this episode of The Digital Contrarian, host Ryan Levesque dives into Answer Engine Optimization (AEO) and the advanced AI concepts determining which brands get recommended by ChatGPT.
You'll learn how to optimize for vector embeddings instead of keywords, discover entity graph gap analysis techniques, and master information gain rate principles that make AI systems choose your content over competitors'.
Question of the Day 🗣️
Have you tested whether ChatGPT recommends your brand when asked questions in your niche? Try it and share what you discover in the comments!
Key Take-aways
- ChatGPT usage doubled to 16 min/day while Google search time declined to 18.2 min/day
- Optimize content for concepts and semantic meaning, not just keywords
- AI models often stop after reviewing just 100 lines of content
- Vector embeddings measure semantic similarity using cosine angles between text
- Entity graphs reveal how AI connects your brand to relevant concepts and competitors
Timestamped Outline ⏱️
00:00 – Cold open & hook
01:14 – The data proving ChatGPT is eating Google's lunch
02:09 – Why AEO is the new SEO
03:01 – Key Concept #1: Vector Embeddings explained
04:22 – The paradigm shift: Keywords → Concepts
04:53 – Key Concept #2: Entity Graphs
06:33 – How to do an Entity Graph Gap Analysis
07:00 – Key Concept #3: Information Gain Rate & Time to Answer
08:46 – How to optimize IGR and TTA for your content
09:30 – Final thoughts: The first mover advantage
10:22 – Building your strategic content ecosystem
Links & Resources 🔗
- Apply for Strategic Content Ecosystem → https://www.ryanlevesque.net/apply
- Google Natural Language API → https://cloud.google.com/natural-language
- Subscribe to The Digital Contrarian newsletter → https://thedigitalcontrarian.com
- Private Advisory (7-8 figure business owners) → https://ryanlevesque.net/1-1-vip-waitlist/
- Strategic Mastermind (6-7 figure entrepreneurs) → https://ryanlevesque.net/strategic-advisory-group-mastermind-waitlist
Connect & CTA 🎯
👉 Enjoyed this? Subscribe & leave a review on Apple Podcasts.
🎁 Join 100 000+ digital entrepreneurs who get Ryan's "Strategic Insights for Digital Entrepreneurs Who Think Differently" every weekend: https://ryanlevesque.net/join-the-digital-contrarian/
Credits
Host: Ryan Levesque
© 2025 RL & Associates LLC. All rights reserved.
View all episodes
By Ryan LevesqueTDC 071: How to Get Your Website to Show Up in ChatGPT…
The 2025 version of ranking #1 on Google—master these AI concepts before your competition does.
Episode Summary:
In this episode of The Digital Contrarian, host Ryan Levesque dives into Answer Engine Optimization (AEO) and the advanced AI concepts determining which brands get recommended by ChatGPT.
You'll learn how to optimize for vector embeddings instead of keywords, discover entity graph gap analysis techniques, and master information gain rate principles that make AI systems choose your content over competitors'.
Question of the Day 🗣️
Have you tested whether ChatGPT recommends your brand when asked questions in your niche? Try it and share what you discover in the comments!
Key Take-aways
- ChatGPT usage doubled to 16 min/day while Google search time declined to 18.2 min/day
- Optimize content for concepts and semantic meaning, not just keywords
- AI models often stop after reviewing just 100 lines of content
- Vector embeddings measure semantic similarity using cosine angles between text
- Entity graphs reveal how AI connects your brand to relevant concepts and competitors
Timestamped Outline ⏱️
00:00 – Cold open & hook
01:14 – The data proving ChatGPT is eating Google's lunch
02:09 – Why AEO is the new SEO
03:01 – Key Concept #1: Vector Embeddings explained
04:22 – The paradigm shift: Keywords → Concepts
04:53 – Key Concept #2: Entity Graphs
06:33 – How to do an Entity Graph Gap Analysis
07:00 – Key Concept #3: Information Gain Rate & Time to Answer
08:46 – How to optimize IGR and TTA for your content
09:30 – Final thoughts: The first mover advantage
10:22 – Building your strategic content ecosystem
Links & Resources 🔗
- Apply for Strategic Content Ecosystem → https://www.ryanlevesque.net/apply
- Google Natural Language API → https://cloud.google.com/natural-language
- Subscribe to The Digital Contrarian newsletter → https://thedigitalcontrarian.com
- Private Advisory (7-8 figure business owners) → https://ryanlevesque.net/1-1-vip-waitlist/
- Strategic Mastermind (6-7 figure entrepreneurs) → https://ryanlevesque.net/strategic-advisory-group-mastermind-waitlist
Connect & CTA 🎯
👉 Enjoyed this? Subscribe & leave a review on Apple Podcasts.
🎁 Join 100 000+ digital entrepreneurs who get Ryan's "Strategic Insights for Digital Entrepreneurs Who Think Differently" every weekend: https://ryanlevesque.net/join-the-digital-contrarian/
Credits
Host: Ryan Levesque
© 2025 RL & Associates LLC. All rights reserved.