In this month’s digital news, X (formerly Twitter) has launched a phased rollout of a rebuilt, AI-powered advertising platform, aiming to accelerate its ad revenue recovery. Google has formally documented its site visits asset in Google Ads, an automated badge displaying domain visit counts (10K+, 100K+, or 1M+) directly within text ads.
Google is rolling out a fundamentally new approach to search personalization that uses AI to build a continuous profile of each user from their search history. Google has officially retired FAQ rich results, ending the era of expandable question blocks that previously allowed websites to dominate vertical real estate in search results.
X announces a rebuilt ad platform powered by AI
X (formerly Twitter) has launched a phased rollout of a rebuilt, AI-powered advertising platform, aiming to accelerate its ad revenue recovery. Following its merger with Elon Musk’s x AI, the new platform promises improved targeting, more relevant ad placements, and greater advertiser control. X’s ad revenue is forecast to reach $2.46 billion in 2026, though still well below Twitter’s 2021 peak. The move mirrors a broader industry trend, with Google and Meta also benefiting from AI-driven advertising growth, which is increasingly automating campaign creation, targeting, and measurement, whilst lowering barriers for smaller businesses.
Read more here.
Google site visits asset now official: what it means for Search and PMax ads
Google has formally documented its site visits asset in Google Ads, an automated badge displaying domain visit counts (10K+, 100K+, or 1M+) directly within text ads. It draws on combined organic and paid traffic, is non-clickable, and carries no additional cost. To qualify, domains must receive at least 10,000 clicks in the last 30 days, have no policy violations, and operate on a single-tenant domain. Compatible with Search and Performance Max campaigns, it requires no advertiser setup. Those wishing to opt out must contact their Google representative, as there is no self-service toggle available.
Read more here.
The personalized Internet is here
Google is rolling out a fundamentally new approach to search personalization that uses AI to build a continuous profile of each user from their search history. Gmail, calendar, Maps, and browsing behaviour. Unlike previous personalization attempts that amounted to appending location signals to keyword lookups. This system sets interest flags with every search and uses them as background context for all future queries. The feature is live in Gemini and AI Mode, and is expected to eventually become the default search experience. Meaning two people searching the same phrase could receive entirely different results.
Read more here.
The removal of FAQ rich results
Google has officially retired FAQ rich results, ending the era of expandable question blocks that previously allowed websites to dominate vertical real estate in search results. While the underlying FAQ structured data remains technically valid and continues to serve as a critical signal for AI-driven answers and citations, the visual “dropdown” feature is now gone for all websites, including government and health sources that were previously exempt. For search visibility, this represents a significant reduction in the physical footprint of organic listings, likely decreasing click-through rates for informational content that once used these visual enhancements to capture user attention and “push down” competitors.
Read more here.
America’s Most Infamous Nuclear Site Returns to Fuel the AI Boom
The buildout of AI infrastructure in the US has transformed the country’s energy needs. A new crop of companies has developed nuclear reactor designs that they claim to be cheaper, safer, and easier to build than the ones currently in operation. However, it will take many years before these technologies will meaningfully contribute to the US energy supply. This means that the country will have to rely on much older technology until the new plants come online.
Read more here.
Can Claude find a critical decision buried in 100,000 Slack messages?
RAG benchmarks use Wikipedia, research papers, and news articles. Your company’s knowledge is scattered across your KB, Slack channels, and docs. That’s why this realistic enterprise RAG benchmark tests 12 AI tools against 500 questions and 500k docs across 9 company sources. Onyx is the only system that beats OpenClaw.
Read more here.
For more information on any of these stories, or for support with ASK BOSCO®, please get in contact with our team, team@askbosco.com.
