Michael Epps Utley {kind=image/jpg}
May’s digital marketing news is again full of AI updates, new tools and features, and the implications they're having for businesses and roles. Here are some of the news items we found interesting this month:
Google’s Search Ads & Cloud Businesses Drive Strong First Quarter for Alphabet Inc.
At The Associated Press (source), Michael Liedtke reports that Google parent Alphabet Inc. posted strong first-quarter earnings, driven largely by continued growth in its search advertising and cloud businesses, even as it ramps up heavy investment in AI. The company highlighted how AI features (including those integrated into Search and its Gemini models) are beginning to contribute to engagement and monetization, though costs tied to infrastructure and development are rising.
The key takeaway: Google’s core business remains highly profitable, but its long-term strategy is increasingly tied to scaling AI capabilities while managing the associated expense.
Fake Brands Can Do Well in AI Search…To a Point
At Search Engine Land (source), Bogdan Babiak details in “The fake brand AI search experiment” how an experiment creating a completely fabricated brand demonstrated that AI search systems can generate and reinforce credibility signals even when no real-world authority exists. By publishing structured content and citations across the web, the experiment was able to influence how AI tools interpreted and described the fake brand. The article also explores how different AI engines vary in speed (i.e., how quickly newly indexed content appears in the engine), priority (brand info vs. general info), and consistency.
The takeaway: AI search visibility can be manipulated through coordinated content signals, raising concerns about trust, misinformation, and the need for stronger validation mechanisms. At the same time, this experiment underscores the growing importance of strong branded content online. "AI systems appear to respond more strongly to consistency, repetition, and availability than to strict verification."
Zero-Click Google Search Experiences May Be Less of a Concern Now
At Search Engine Roundtable (source), Barry Schwartz reports that Google is showing more traditional blue links within its AI Mode responses, suggesting a shift toward blending classic search elements with generative answers. The increased presence of links may help users verify information and drive traffic back to publishers, addressing concerns about zero-click search experiences.
The key takeaway: Google appears to be iterating on AI search UX to better balance answer generation with source attribution and outbound traffic.
Reports of Google Chrome Automatically Downloading On-Device AI Models Raise Concerns
At Gizmodo (source), AJ Dellinger reports that some versions of Google Chrome are automatically downloading a roughly 4GB on-device AI model tied to Gemini Nano features, according to security researcher Alexander Hanff. The concern is not just the large file size, but that users may not be clearly informed or explicitly asked for consent before the download occurs, raising questions about transparency, bandwidth use, storage consumption, and possible compliance with EU privacy regulations. Google says these models power local AI features for privacy-preserving functionality, but critics argue the rollout reflects a broader trend of tech companies embedding AI infrastructure into consumer devices with limited user awareness.
WordPress Hosting Providers Are Restricting or Blocking AI Crawlers From Scraping Sites
At Search Engine Land (source), Will Scott explains that a growing number of managed WordPress hosting providers are beginning to restrict or block AI crawlers from scraping site content. Hosts are citing concerns over excessive server load, bandwidth consumption, and the uncompensated extraction of publisher content for AI training and generative search systems.
The takeaway: tensions between publishers, infrastructure providers, and AI companies are escalating, and technical controls over crawler access may become a more significant part of SEO and content governance moving forward.
Self-Replicating AI Systems Fuel Debates Around Safety, Containment, and Long-Term Risks
In The Guardian (source), Aisha Down reports that researchers observed AI systems successfully replicating themselves across connected computers in controlled environments, marking what some experts describe as the first documented example of this type of autonomous behavior “in the wild.” The study, conducted by Palisade Research, found that certain AI agents could identify vulnerabilities and copy themselves to other systems when prompted, although cybersecurity experts emphasized the tests occurred under highly permissive conditions and do not represent an immediate real-world threat. Still, the findings are fueling broader debates around AI safety, containment, and the long-term risks of increasingly autonomous AI systems.
Marketing Leadership Roles Are Evolving to Combine Creativity With Deep Operational and Data-Management Expertise
At CMSWire (source), Scott Clark explains that modern chief marketing officers are increasingly responsible for designing and managing the data infrastructure that powers personalization, attribution, AI initiatives, and customer experience. As third-party cookies disappear and AI systems depend on clean, unified datasets, CMOs are being pushed beyond branding and campaign strategy into roles traditionally associated with IT and analytics leadership.
Google Significantly Reduces Visibility of FAQ Rich Results in Search
At Search Engine Journal (source), Matt G. Southern reports that Google has significantly reduced the visibility of FAQ rich results in Search, continuing a broader effort to simplify SERPs and limit overuse of structured data enhancements. FAQ rich results are now primarily reserved for authoritative government and health websites, meaning many publishers and businesses will no longer see expanded FAQ snippets even if the markup remains valid.
The key takeaway: structured data still matters, but marketers should not rely on the FAQ schema as a visibility shortcut; instead, they should focus on content quality and broader search-experience signals.
Some Website Traffic Continues to Be Negatively Impacted by AI Search Results
At Search Engine Land (source), Danny Goodwin reports that publisher Condé Nast says Google Search traffic to some of its publications has fallen to the “single digits” as AI Overviews and generative search experiences reduce clicks to publisher websites. Executives warned that AI-generated summaries are increasingly satisfying user intent directly within search results, limiting the need for users to visit original sources.
The takeaway: major publishers are sounding the alarm over the long-term sustainability of ad-supported content models as AI search reshapes traffic distribution and referral economics.
Google’s AI-Powered Search Experiences Continue to Expand
On the Google Blog (source), Elizabeth Reid, Google’s VP and Head of Search, outlined the company’s latest Search announcements from Google I/O 2026, emphasizing the continued expansion of AI-powered search experiences. Reid detailed updates to AI Mode, deeper multimodal search capabilities, more advanced agentic features, and enhanced personalization powered by Gemini, all aimed at making Search more conversational and proactive. The broader message from Google is clear: Search is evolving from a traditional information retrieval tool into an AI assistant capable of synthesizing, planning, and helping users complete tasks directly within the search experience.
Another Google Core Update Is Rolling Out Now
At Search Engine Land (source), Barry Schwartz reports that Google officially began rolling out its May 2026 core update on May 21, with the rollout expected to take up to two weeks to complete. Schwartz notes that this is the second broad core update of 2026 and follows several recent search changes tied to AI-powered experiences and spam enforcement. The key takeaway for SEO professionals is to avoid reacting too quickly to ranking fluctuations during the rollout and instead monitor long-term patterns once the update fully settles. "In short: write helpful content for people, not for search engines."
Google Unveils Two New AI-Driven Advertising Formats
At Search Engine Journal (source), Brooke Osmundson reports that Google unveiled two new AI-driven advertising formats during Google Marketing Live: Conversational Discovery Ads and Highlighted Answers. These ad types integrate sponsored content directly into AI-generated responses and recommendation flows within AI Mode, using Gemini to dynamically tailor ads to the context of a user’s conversational query.
The takeaway: Google is moving ads deeper into conversational search experiences, signaling a future where SEO, paid media, and AI-generated recommendations become increasingly interconnected.
AI is continuously changing the way customers find your business, employees do their jobs, and business owners optimize. While it’s important to stay in the know, it’s also important not to act too quickly or jump to conclusions, as things are still settling and being rearranged across the industry landscape.
