You don't need keyword tracking out to 100 places. You really don't.
Posts by Mike Friedman
Just asked ChatGPT to write this for me as something funny to send to some friends.
"...say your vitamins and eat your prayers..." 🤣🤣🤣
No. Not Ozzy. 🥺
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.
Google June 2025 core update is rolling out. It could take up to 3 weeks for the full rollout.
status.search.google.com/incidents/ri...
Google VP of Search, Nick Fox, questions the CTR studies done on AI Overviews and says the web is thriving. John Mueller also echoed that the web is thriving www.seroundtable.com/google-on-ai...
Summary of SEO news this week. Click the LinkedIn link for more info.
SEO updates you ✨NEED✨ to know [23 June]: www.linkedin.com/posts/markse...
I'm reading a fantasy series right now where the first book was published in 1988. The author uses a ton of em dashes. I've never seen so many in a book.
Proving, once and for all, that time travel is real.
#iykyk #ai
📌 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.
This week Google published a document called "Top ways to ensure your content performs well in Google's AI experiences on Search". I'll drop a link to it in the comments.
Here is the TL;DR version and Google’s 5 key recommendations:
#SEO #AIsearch #GoogleSearch #TechnicalSEO #StructuredData
Google has published new docs on the use of generative AI content.
I would highly recommend anyone using AI generated content read this document and also bookmark it. It is likely Google will make changes in the future.
developers.google.com/search/docs/...
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.
My predictions for AI Overviews in the next year
Prediction #1 – Featured snippets will be deprecated
As Google generates more and more AIOs for search queries, featured snippets will be redundant.
Featured snippets don’t really offer anything that AIOs are not providing to a searcher.
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.
If your ecommerce product pages aren’t clearly displaying UPCs and model numbers, you're likely missing out on easy, high-intent SEO traffic.
Shoppers searching by exact model number or UPC aren't casually browsing. They know exactly what they want and are ready to buy.
Keeping in mind that Search Quality Raters are paid pretty low wages and have no formal education in linguistics or AI and LLMs for that matter, I'm not sure this is a great idea.
searchengineland.com/google-quali...
If a user clicks on it, they will be directed to the markdown file, which will be a really shitty user experience.
I created a quick chat if you want to read a little more about it.
chatgpt.com/share/67c5b2...
There is no reference back to your original URL. Do you see the problem?
Now if your content gets cited in an LLM, it will link to the markdown file.
In order to implement this, you have to create markdown files of all your content. These files will have their own URLs, such as somedomain.tld/my-best-post-ever.md.
The idea is to make your content easier for LLMs to digest and understand without things like Javascript getting in the way.