Practical guides on the parts of ecommerce SEO that actually move the needle, written the same way we'd explain it on a call. The first ten explain recent changes in Google and AI search.
Google's checkout standard for AI agents, and the product data work that makes your shop ready for it.
OpenAI shelved in-chat checkout. What stays, what changes, and why product discovery still matters.
The optional feed attributes Google added for AI Mode and Gemini, and which ones are worth your time.
Google's first official AI visibility data: what it shows, what it hides, and how to read it.
Google's official line on AI Overviews and AI Mode: what to do, what to ignore, and what it means for shops.
FAQ rich results ended, review rules tightened, and new category and sale date guidance arrived.
Two core updates in three months: how to read your data and which product page checks matter.
What we know about the fourth spam update of 2026 and the shop practices that carry the most risk.
Three studies on AI Overviews, shopping queries and clicks, and what each one can and can't tell you.
Google's updated rules on AI content, and a safe workflow for product descriptions at scale.
The specific, checkable elements worth reviewing on every product page template.
Why filters create duplicate content at scale, and the fixes that actually work.
A framework for replatforming or changing URLs without losing rankings.
Which schema types genuinely help, and which are commonly misused.
How AI shopping answers actually get sourced, and what improves visibility.
The concrete warning signs that your SEO provider isn't delivering.
URL structure, hreflang, and avoiding duplicate content across markets.
What actually happens to out-of-stock pages in Google, and the right way to handle each case.
Getting category pages right at the scale a large catalogue demands.
An honest answer on when blogging actually helps, and when it's a distraction.