New drop: the full Relevance Engineering breakdown + the mind map
I just dropped a full video walking through Relevance Engineering, which is the exact system we use to get ecommerce stores found and recommended inside AI search like ChatGPT, Gemini and Perplexity.
This one is a proper deep dive. I take you through the whole methodology from start to finish including why keyword optimisation has quietly stopped working and what actually gets your content pulled into an AI answer now.
Here is what I cover inside
✅ Why it's not about keywords anymore
✅ Semantic scoring and passage optimisation
✅ How to structure your content so AI can extract it
✅ Writing with zero fluff
✅ Semantic internal linking and information architecture
✅ Entities, structured data and query parsing
✅ How to audit and engineer any page for relevance
I've also attached the full mind map from the video as a PDF so you can keep it open while you watch and use it as your own implementation checklist instead of trying to take notes.
🎥 Watch the full video here
🗺️ Mind map PDF is attached below 👇
Once you've watched it pick one single thing from the mind map and apply it to a real page this week then come back and drop a comment telling me exactly what you changed. I'll personally reply and help you tighten it. That's the whole point of having this room.
Let's get your stores showing up in AI search 🚀
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Muhammad Ahmad Khan
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New drop: the full Relevance Engineering breakdown + the mind map
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Rank on Google, get cited by AI, and scale your store to 7–8 figures. The semantic SEO + GEO playbook for serious ecommerce founders.
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