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Interesting: new data shows a 1% CTR on AI Overviews It was only a matter of time before new data & studies started to contradict Google's messaging around the impact of AIOs on traffic. h/t Pedro Dias pewresearch.org/short-reads/20…

Google Analytics has an MCP server! We can now ask about GA4 data with natural language with an LLM. youtu.be/PT4wGPxWiRQ?si… github.com/googleanalytic…

Using AI-generated content heavily? Like I've explained before, heads-up (from Google Search Live APAC: Day 1) -> Gary Illyes: Google's ranking systems are trained on the highest-quality content, which is clearly human content "Across several talks, speakers emphasized that

From Google: "This study uses a flawed methodology and skewed queryset that is not representative of Search traffic. We consistently direct billions of clicks to websites daily and have not observed significant drops in aggregate web traffic as is being suggested."

In the meantime, ChatGPT continues to burn cash.

How Search evolves.

llms.txt is incredibly useful for AI agents but that doesn’t mean G Search needs it. Unlike robots.txt, llms.txt isn’t designed to guide crawling or indexing. Its purpose is to provide context for AI agents. Google is using llms-full.txt to help Gemini understand how ADK work 👇

In the last fortnight there have been two new AI SEO funding rounds (and I've added four companies to the table). Nimt AI raised ~€360,000 to help you track and boost your visibility on ChatGPT and other AI platforms. Scrunch AI announced a $15M Series A in the past 24 hours,

New Anthropic research: Building and evaluating alignment auditing agents. We developed three AI agents to autonomously complete alignment auditing tasks. In testing, our agents successfully uncovered hidden goals, built safety evaluations, and surfaced concerning behaviors.

When AI becomes valuable 🏟️.

Never give AI any personal information or information about how you think. Always a bad idea! Even Sam Altman, CEO of OpenAI warns, urging caution until clearer privacy policies are in place.

What if AGI doesn’t require broad expertise but could instead emerge from specialized knowledge? Interesting paper by a team at Princeton arxiv.org/abs/2507.13966 Cc Elie R𐤀𐤀d

The "Web Guide" section (id="ipjOhd") is where rendering and user interactions happens. The fan-out is personalized by who you are (your Google account history and interests), where you are (your location inferred from past activity), and what you're using (your device)

How do LLMs learn if their weights don't change? What if learning is about patching the model instead of re-training it? Brilliant idea.

SEO 3.0? Start thinking in signs and meanings. Bring Semiotics into the mix.

Look ma, I made it to SEL.

ICYMI: ChatGPT stealing Google's search results? seroundtable.com/chatgpt-using-…

This could be the end of copyright.

tumblr.com/thevaultofthea…

Always be the human in the loop.