If you are implementing the whole standard correctly, it also means creating a bunch of .md files for all of your content. You should noindex those too.

Here is the 🔗: developers.google.com/search/blog/...

📌 Takeaway: AI search is here, but it’s not rewriting the SEO playbook. It’s just raising the standard. If you're focused on quality, usability, and trust, you’re already doing what Google wants.

✅ Align structured data with visible content
Schema is still powerful, but only if it reflects what users actually see.

✅ Make sure your content is crawlable and indexable
A solid technical foundation—robots.txt, clean URLs, valid meta directives—is still critical.

✅ Use snippet and indexing controls intentionally
Tags like noindex or nosnippet can keep content out of AI summaries—use them wisely.

✅ Create unique, people-first content
Helpful, original content that solves real problems still wins—AI or not.

✅ Prioritize great page experience
Fast load times, mobile-friendly design, and clean structure all support better visibility.

Prediction #4 – Conversational commerce & transactions will be completed in AIOs

This will be the follow-up evolution of AI chat in AI Overviews.

Google CEO Sundar Pichai’s roadmap hints at embedding Gemini into “paid partnerships” much like Ads in classic Search.

Prediction #3 – Google will introduce AI chat into AI Overviews

This is a simple a logical next step for AI Overviews and something I think could dramatically impact Google Search.

Prediction #2 – Expanded vertical coverage & real-time data

By mid-2026, expect AIOs to pull live sports scores, stock tickers, flight statuses, and local weather straight into the summary, powering “one-stop” overviews across every major vertical.

Optimize for UPCs and model numbers instead—numbers that customers actually use to search.

Small detail, big difference. Make sure your customers, and search engines, know exactly what you're selling.

⚠️ Don't make this mistake: SKU numbers are internal identifiers. I.E. Home Depot has a different SKU number than Lowe's does for the same product.

Buyers don't typically search by SKUs, so optimizing for them usually wastes valuable SEO space.

A quick fix for capturing more bottom-of-the-funnel buyers:
👉 Clearly display model numbers and UPCs on product pages.
👉 Include model numbers in title tags and meta descriptions where appropriate.
👉 Use structured data markup (Product schema) to highlight these details to Google.

Instead, competitors with clearly labeled product details win the traffic and the sale.

Yet, many ecommerce sites hide these valuable identifiers deep in backend fields or don’t feature them clearly on product pages.

When Google can’t see this data, your pages don't rank for these valuable product-specific searches.