🔔 BigQuery supports AI similarity and embedding generation Basically, they released new functions you can embed in your SQL queries, including entity extraction, intent classification and sentiment analysis of unstructured text with Gemini 3.0. I ran a few tests 👉🏻

This is a fine example of stochastic mirroring within #AI The story was fabricated to quickly get karma on Reddit. AI bots emulated human negative emotions to tell a story. The point is use LLMs to brainstorm, refine and create the code. You do the analysis. www.linkedin.com/posts/benluo...

Microsoft detected AI memory poisoning subtly used for brand promotion. Prompt injection is not a matter of black vs white SEO. Instructing LLMs to “remember” a company can introduce serious cybersecurity and open to geopolitical cases when dramatically scaled. www.microsoft.com/en-us/securi...

AI agents are contemporary Narcissuses. Language models and chatbots are progress in disguise as they can't help but mirror mankind's in-depth need for validation and self-comfort. RLHF and stochastic mirroring are the reasons LLMs seem so real Genius julianajackson.substack.com/p/what-is-re...

As AI platforms emerge as new traffic channels, attribution becomes a crapshoot. Sharing an advanced framework to track zero-click searches and guide your decisions on AI visibility by integrating Google Search Console and Bing data via BigQuery incremental marts. seodepths.com/seo-research...

I've developed a framework that combines authority metrics with semantic relevance to return much deeper insights into link value. seodepths.com/python-for-s...

Log file analysis shows llms.txt has limited impact on AI crawl behaviour. Learn why robots.txt still matters most and how to deploy llms.txt safely. seodepths.com/seo-research...

🔔 Did you know #OpenAI may keep a cached index of webpages? When a page is fresh or heavy on #JavaScript, #ChatGPT can generate answers from related cached pages. I built a small app using your OpenAI API to check the external_web_access endpoint Tests and context -> github.com/simodepth96/...

I'm not surprised at all. If you're based in the EU and have a proper look into your server logs, this is what you get. The idea per se is smart as LLMs may slice .md faster than .html but if it doesn't become a standard in the W3C then it lives in thin air

this goes right along with my theory that the AI obsession in *users* is often bc… 1. they were never educated (esp "ipad generation") & don't know how computers work 2. our tools and services are all SO AWFUL NOW, degraded at best, actively user-hostile at worst

Head to Skyline to attend an insightful session on ‘Technical SEO nightmares on client-side React web apps’ by @simodepth.bsky.social #BrightonSEO

A test on 7 URLs with missing meta descriptions showed: - Google and ChatGPT favoured H1S and structured text - Perplexity relied on cached metas. LLMs and AI search engines tend to mimic Google, preferring structured, self-contained content during retrieval. 👉🏻 seodepths.com/seo-research...

Gemini API Grounding might be the reference point to start optimising for fan-out search queries from #AIMode In the screenshot, the results of a few tweaks to the #Python from the cookbook repository ai.google.dev/gemini-api/d... 🧵