Chris Green SEO

@chris-green.net

Technical Director (Torque Partners), experienced search trainer & mentor. #BeOnePercentBetter

Most people aren’t giving Common Crawl the attention it needs. But consider that Common Crawl is one of the most important upstream sources for LLM pre-training, and derived CC datasets have been used by most major LLMs. 🧵 1/5

buff.ly

Websites are becoming more layered as the number of experiences and users they need to cater to expands. I’ve written about the need for agentic tracking and catering for agent interactions, but that is only half of the picture. Rather than talking about how much we need to strip back an 🧵 1/4

The future of the web is weirdly human

The future of the web may end up looking a lot less like documents, and a lot more like the things it's trying to describe.

jonoalderson.com

My old SEO metric chain wasn’t powerful just because it ended in revenue. It was powerful because importance, observability and attribution confidence all roughly pointed in the same direction. 🧵 1/4

This one is fascinating, it merges the old algorithm-update driven paradigm with the “new world” of AI search and agentic optimisation: ”May 23, 2026, is the first clearly documented ChatGPT Core Update. In 48 hours, the switch to GPT-5.5 redistributed almost half of all citations… 🧵 1/3

ChatGPT Core Updates: Chatbots Have Algorithm Changes Too

First documented ChatGPT core update: the switch to GPT-5.5 shifted citation distribution in German-language answers by 47% within 48 hours. Which domains won, which lost, and what it means for GEO.

sistrix.com

This is a fact that some SEO’s will find harder to handle than others; AI visibility is increasingly driven by brand strength, not just website optimisation. Maybe you’ve seen this in SEO over the past few years: a slightly belligerent “SEO the crap out of it” and hope it works. 🧵 1/3

How Brand Signals Impact Organic Search and AI Visibility

Brand signals are no longer just a marketing concern. Learn how branded searches, online mentions, sentiment, and entity recognition influence both organic rankings and AI visibility, plus practical…

womenintechseo.com

This is a resource I wish I had years ago. Site migrations are complex processes, not because building and moving websites is tough, but the project as a whole requires considered balance, patience and diplomacy. Rishi’s got you covered on the framework at least here

Site Migration SEO Mistakes: 32 Pitfalls & Fixes | Pwani

A phase-by-phase field guide to the 32 SEO mistakes that sink rankings during site migrations and rebuilds, with how to spot and fix each one.

pwani.co.uk

The transition to AI Mode will be a continuum, not a cliff edge. This puts me in mind of potentially boiling a frog. I remember feeling professional existential dread when we first saw AI Overviews rolling out. What happens when all of search is generative, and there aren't blue links? 🧵 1/4

Google CEO Sundar Pichai Is OK With AI Mode Replacing Classic Search

Pichai says users are happy with AI Mode and Google will be fine. Publishers may see a different future.

searchenginejournal.com

Another great talk from Dawn, there’s a lot to get your head around, but I would say it isn’t increasingly essential! If I could summarise any of it, though, I’d say that the future optimisation stack increasingly looks like: 1. Can AI discover the content? 2. Can AI understand the content? 🧵 1/3

Exploring the Future of AI-Driven Agentic Search Architecture and RAG

An in-depth look at Retrieval Augmented Generation (RAG), agentic search evolution, context graphs, and SEO strategies for AI-powered search and commerce in 2026 and beyond. - Download as a PDF or…

buff.ly

This is a monster post, but a very important one considering the growth of “agentic” AI. “A technical guide to the protocols, headers, and well-known files that make a website readable by AI agents. With the SEO argument, the case study, and an honest look at whether you should bother yet.” 🧵 1/5

How to Make Your Website Agent-Ready (And Whether You Actually Should) — Suganthan

A technical guide to the protocols, headers, and well-known files that make a website readable by AI agents. With the SEO argument, the case study, and an honest look on whether you should bother yet.

suganthan.com

Robin’s always been one of the most generous teachers in the SEO space - at least I have always felt that. This time, he’s helping us understand how we can more readily test LLMs and select the right tool for the job without adding a lot of overhead to our processes. 🧵 1/2

LiteLLM - increase your options with LLM tools | Robin Lord - Strategist, Data Scientist

This post is about using LiteLLM so that you can have more freedom and flexibility in the LLMs you use day-to-day. But let’s start by covering the “why bother”. You might say “just use good steel”…

buff.ly

Are we at peak AI content? Honestly, that question is almost impossible to answer with certainty (since things change so quickly and measuring it is hard), but Graphite’s update to their highly important study suggests it could be. That got me thinking - 🧵 1/6

AI Now Writes as Many Online Articles as Humans Do

We build on our prior research by using 3 different AI detectors (Pangram, GPTZero, Copyleaks). We independently evaluate each to show that the false positive rates and average false negative rates…

buff.ly

“Search would be an agent manager” for future users trying to complete a task. I don’t know about you, but a kind of “agent manager” which helps people solve tasks is a LONG way from the “search engines” we were raised on. 🧵 1/6

Search as Agent Manager”: what Pichai’s interview really means for SEO, commerce, and the open web

Google CEO Sundar Pichai redefines Search as an "agent manager". Explore the shift toward agentic workflows and what this means for the future of SEO and digital commerce.

buff.ly

This has probably done the most to further blow apart my assumption about “tracking AI” to date. I'll explain The easiest way to “explain” why AI tracking is worthless/rubbish has been to suggest that the probabilistic nature of the process makes the results too noisy and therefore worthless 🧵 1/7

Demystifying Randomness in AI

In this paper, we build on our previous work to demystify how randomness works in AI. We explain that AI often provides different responses to the exact same prompt because randomness is built into…

graphite.io

More info on how and when Shopify data will be introduced into “agentic storefronts” - just the key points from a recent announcement email: - Shopify Catalog automatically structures and enriches your product data, and will distribute it to AI channels where buyers are actively shopping 🧵 1/6

Packt have just told me there is a limited time offer on Amazon for pre-orders for my forthcoming book, The AI SEO Playbook and asked me to share. I am increasingly intrigued as I write this book and guarantee you will not find the info I am writing on any regurgitating AI blah blah blogs or books.

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I’ve done a lot of thinking about prompt-tracking and measuring AI recently - most of which has made it onto LinkedIn already, so I’ll keep this one brief. Tom has done a great job at distilling the key issues people have when approaching prompt tracking and how to tackle them. 🧵 1/3

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