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 https://youtu.be/dy8nQk-tCCQ?si=Qyl5HBPY6qoIrgW_ 🗺️ 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 🚀

Hey everyone 👋 As promised, here's the full breakdown — the exact AEO/GEO system we use at CartCompound to get ecommerce stores found (and actually bought) inside AI search: ChatGPT, Gemini, Perplexity, and Google's AI Overviews. Why this matters right now: 58% of US shoppers already use AI to shop. If your store isn't showing up in AI answers, you're invisible to a massive — and fast-growing — chunk of buyers. This same methodology has driven 34,590+ orders for one ecommerce store. 🎥 Watch the full video (~57 min deep dive): https://youtu.be/Tkwms2F0FGc Here's everything I walk through: ✅ Why ecommerce SEO just changed forever ✅ Content + specificity AI actually surfaces ✅ Structured data & schema markup (the right way) ✅ Embeddings, knowledge graphs & entities ✅ Product pages, feeds & reviews that get you recommended 🗺️ The complete mind map (PDF): I've attached the full mind map below — use it as your step-by-step implementation checklist while you watch. 👇 👉 Your move: 1. Watch the video (grab a coffee — it's a meaty one) 2. Download the mind map PDF 3. Pick ONE thing to implement this week and drop it in the comments — I'll personally reply with feedback What's your biggest takeaway? And if you have questions on any section, ask away — happy to go deeper. 🙌 — Ahmad

New case study just dropped. I helped an ecommerce store generate $6.7M in total sales last year using nothing but SEO. No paid ads involved. Just organic. I've documented the entire process in a detailed case study that covers every single step we took, in the exact order we executed it. Here's what's inside: - The full technical SEO audit process and what we fixed before touching any content - How we ran the content audit and decided what to delete, merge, update, or leave - The exact process for building topical maps around central entities, not keyword spreadsheets - How we rebuilt category pages from empty product grids into semantic hubs that actually rank - What our product page engineering looks like with entity coverage, schema, and conversion elements - How we structure semantic content briefs including semantic triples, E-A-V triples, and context vectors - The messy middle content strategy that most ecommerce brands completely ignore - Our internal linking architecture and how we push authority to the pages that make money - Visual semantics and how images reinforce entity associations - AI search visibility including featured snippet engineering, AI Overview optimization, and zero-click strategy - Why the whole thing compounds month after month instead of flatlining This is not a surface level overview. Every section explains the reasoning behind the decisions and gives you enough detail to understand how to apply it. Here is the link: https://docs.google.com/document/d/16Un2aLiOzc9WWkepq2pHxoSoYzchnjg-0SFIO8EO_Rw/edit?usp=sharing

After auditing 50+ ecommerce stores this year, I kept seeing the same problem destroy rankings over and over again. Keyword cannibalization. Pages competing against each other. Ranking signals split. And store owners wondering why their content won't rank — despite doing "everything right." So I built a framework we use internally at EcomHolistic to diagnose and fix this at the root. What's inside: → How to find competing pages in GSC (the exact reports we pull) → 5 questions to decide: merge, redirect, or differentiate → Entity-based internal linking to define semantic boundaries → URL consolidation strategies for product variants → Content brief structure that prevents future cannibalization This isn't some generic checklist you'll find on a blog. It's the exact process we use with clients paying us thousands for ecommerce SEO. Sharing it here Grab it below 👇 https://docs.google.com/document/d/11RIoltikBCKXOMK1u9c0N18cmz81Nx1BOifIUf1NbpI/edit?usp=sharing

Been getting a lot of DMs asking: "Ahmad, how do you actually approach ecommerce SEO?" So I sat down and filmed everything. The full 90-day framework. Start to finish. This is what we charge thousands for — now it's free on YouTube. What's inside: → The semantic SEO approach that builds authority FAST → How to structure your store for search visibility → The content strategy that compounds → Real client results (including the $3.5M case study) No gatekeeping. Just the playbook. 🎬 Watch now: https://www.youtube.com/watch?v=-wsVBM5BNzg One ask: If this helps you — share it with one other ecommerce founder who needs it. Questions after watching? Drop them below. I'll answer everything.