Exploring Google ranking technology. ALGOHOLIC. Born in Western Ghats. love to fail often. believe success is half a inch near around just need to find out.
“In my recent analysis of 500,000 prompts, AI Overviews showed up 86% of the time. And yet, AI Overviews barely features in most SEO and GEO conversations I'm part of, even as ChatGPT and Perplexity dominate the discussion.”
👏🏽👏🏽 @TomekRudzki
https://t.co/pxRvb6eRHN
Prepare your site for AI agent interaction with Lighthouse → https://t.co/5myVWdLZd9
If you want AI agents to actually navigate your site properly, the new experimental audit in Lighthouse lets you see:
☀️ Discoverability for AI agents
⚡ WebMCP integration
👀 AI accessibility
#GoogleIO
Just dropped a 2 hour Claude Design masterclass where I go from nothing, to a brand with guidelines, a pitch deck, landing page, mobile app prototype, and a launch video.
All built in Claude Design.
Google just published a study about indirect prompt injection. Important for SEOs and site owners to understand -> Google Says Prompt Injection Moving From Theory Into Real Abuse
From @btabke:
"This is the AI-era cousin of hidden text, doorway tactics, comment spam, parasite content, and schema abuse. The new wrinkle is that the instruction is not only aimed at a ranking system. It is aimed at the language model or agent that reads the page after retrieval."
"Some SEOs will be tempted to test prompt instructions as an AI visibility tactic. That is a short road to a very ugly swamp. The behavior is easy to classify as manipulative because the intent is to override the AI system’s normal summarization or selection process." https://t.co/laUjG55JZy
SEOs, we published one of the largest-ever data study on OpenAI log files (7B+ from @botify).
It's a goldmine of insights on how ChatGPT actually crawls the web:
Over the years, I’ve used various tools, Chrome extensions, and (obviously) the browser itself to diagnose JavaScript-related SEO issues. But now with AI search, I’ve found myself needing a quick and easy way to check if a page’s JS setup is “LLM-friendly” - so I built a tool myself.
My “LLM Content Visibility Scanner” shows you what (non-Google) AI crawlers like GPTBot (ChatGPT), ClaudeBot and PerplexityBot actually see when they look at your page, without executing JavaScript (the way most LLM bots fetch content.)
Just paste a URL and it quickly audits the raw HTML for client-side rendering issues, missing structured data, paywalls, alt text gaps, and crawlability problems.
It then hands you a prioritized mini-action plan with specific URLs to address, plus some other metadata information.
Note: there are some known limitations listed at the bottom, so the tool isn’t always 100% perfect. And it’s certainly not meant to serve as a replacement for a proper technical SEO audit. But it’s a good starting point and a quick tool to use for this purpose when you’re on the go.
Let me know what you think and feel free to DM me any feedback/bugs you might encounter!
https://t.co/Qv6z4ohdCS
"Query fan-out" is why AI search results feel smarter than traditional #SERPs.
One query ➡️ multiple sub-queries ➡️ one synthesized answer.
Which means: ranking for a single keyword isn't enough anymore.
Breakdown + #SEO implications: https://t.co/IT9sH4bogT
You can force ChatGPT to search for your site, crawl your pages and show you exactly what it extracts from each page.
Copy-paste prompts, and how to combine with our free Chrome extension to see the real fan-out queries and grounding data
🔽
https://t.co/AsVvIJcc2Q
💰 From Retrieved to Cited: How Commercial Content Earns Citations in AI Search - excellent research from @_oshdavidson showing how:
* Early-Discovery Content Earns a 20% Higher Citation Likelihood When Claims Are Grounded in Data
* Pages That Make Shortlisting Options Scannable Earn 18.8% More Citations
* Comparison Content With Tables Earns 25.7% More Citations
* Validation Pages With Organized Lists Earn Up to 27% More Citations
* What This Means for Content and SEO Teams
A must read: https://t.co/6wBmI2w2r9
The traditional web of human browsing is ending and being replaced by the Agentic web.
Google has outlined several new AI protocols that we need to understand including MCP, A2A and UCP. WebMCP will allow agents to use the functionality of your website without even rendering the pixels on the screen.
In this article I share how Google is transforming Search into AI Search and why this is the biggest opportunity in SEO since the invention of the Search engine.
https://t.co/4E1VXkvniI
Not getting cited by LLMs? You can debug that!
Here is the exact framework I use to find the gap - and fix it. Tried and tested across dozens of domains.
Let’s assume I have a website and want to be the source for a set of prompts. Each prompt generates some fanout queries. I have already gathered these.
With this framework, we will iterate through all prompts and all fanout queries
1️⃣ Is your website directly cited in the answer?
Yes? Perfect. Your work is done and you should probably focus on other prompts where you are not cited, yet.
No? Go to step 2.
2️⃣ Is your domain used as a source but not explicitly cited?
Yes? Make it more citeable / quotable. Add a summary with the relevant key statement. Keep it short. Write in clear and simple language. Keep the entity density high. If relevant, explicitly express relationships between entities. If you use technical terms or abbreviations, shortly explain them. Use an authoritative, declarative voice.
The summary does not have to be for the whole article. You can also summarize a long paragraph, a table, or a chart/diagram.
It a summary does not fit, you can use question-answer style content blocks.
No? Go to step 3.
3️⃣ Does your domain rank for the fan-out query but not get used as a source?
Yes? Improve the content so it is more source-worthy. Make sure you agree with the broad consensus. Add unique information no other source has. Strengthen your EEAT signals. Add quotes from trustworthy sources. Explicitly name your sources.
Ideally, expand your document to cover multiple fanout queries.
No? Go to step 4.
4️⃣ Do you already have a relevant page for the fan-out query that does not rank yet?
Yes? Make sure it is indexed. Build internal and external links. Improve the content. Make sure there are no crawling or rendering issues. In short, do SEO.
No? Create that page.
Some updated data from @Similarweb that shows the growth in LLM (desktop) usage over time worldwide between Sep 2024 - Jan 2026.
The first chart shows LLMs only. ChatGPT is still the leader, but hasn't bounced back to its Oct 25 usage. Gemini is still growing fast.
Second chart shows ChatGPT vs. Claude vs. Gemini usage - Claude is also growing, but it's still tiny compared to the other 2.
Third one layers on Google & Bing desktop usage compared to LLMs. Google grew a lot between Dec 25 and Jan 26.