Introduction

I'm Mu-Yen. Today's most shocking news is that Google Ads has announced the expansion of its AI-powered ads to ten new markets, with all Search and Performance Max (PMax) campaigns opted in by default with no option to opt out. Today, we will talk about the impact of this forced upgrade on your ad budget, how a UK agency boldly wrote "AI search mention rate" into client contracts, and how Philips restructured its website to make it understandable for AI agents. I will tell you how to plan ahead in just a moment.

Today's AI Marketing Highlights

1. Google Ads Expands AI-Powered Ads, Introducing Multi-Turn Conversational Ad Formats

• What Happened: Google announced the expansion of its AI-powered ad delivery to 10 new markets, including Australia, Canada, and Singapore, and launched a multi-turn conversational ad format in the US that supports follow-up questions. Currently, all existing Search, Shopping, and Performance Max campaigns are eligible by default, and the system does not offer an option to opt out individually. This means marketers will need to rely more heavily on technologies like Broad Match to reach exploratory traffic in AI search.
• Marketer's Take: This means we can no longer ignore the monetization power of AI search traffic. When Google forces existing budgets into AI mode, if your keyword settings are not flexible enough, you might miss out on this high-intent conversational traffic.
• Actionable Next Steps: Check the proportion of Broad Match in your existing Search campaigns, and evaluate whether you need to test corresponding copy for multi-turn conversational assets in overseas markets.
• Source: Search Engine Journal (https://www.searchenginejournal.com/ads-in-ai-mode-expand-to-10-countries/)

2. Google Tests New Shopping Layout in AI Mode, Clearly Distinguishing Paid and Organic Products

• What Happened: Google is testing a brand-new shopping results layout in its AI mode, clearly dividing paid and organic product listings into two separate headings: "Sponsored" and "All products." This changes the previous practice of mixing paid ads with organic recommendations, aiming to improve ad transparency.
• Marketer's Take: This is good news for e-commerce sellers, as it creates a clearer competitive boundary between organic exposure from GEO (Generative Engine Optimization) and paid ad placements. Marketers can now more clearly evaluate the respective performance of paid ads and SEO.
• Actionable Next Steps: Keep an eye on whether this layout rolls out in Taiwan, and start planning how to optimize exposure in the organic "All products" section through your Product Feed.
• Source: Search Engine Land (https://searchengineland.com/google-testing-new-shopping-results-layout-ai-mode/)

3. Invoca Launches AI Messaging Agents for Google Ads, Targeting High-Ticket Conversational Opportunities

• What Happened: Revenue growth AI platform Invoca launched "Messaging Agents for Google Ads," a service that uses AI agents via RCS business messaging to answer questions, qualify leads, and book appointments 24/7 for consumers clicking through from Google Ads. This feature is specifically designed for high-ticket industries with long decision cycles, such as finance, telecom, and travel, and seamlessly feeds conversation and conversion data back into Google Ads' smart bidding system.
• Marketer's Take: This solves the most painful "tracking gap" in conversational advertising. When conversational conversions can be fed directly back to systems like PMax, the algorithm can optimize your return on ad spend (ROAS) much more accurately.
• Actionable Next Steps: If you are in a high-ticket industry or one that requires booking appointments, you can start evaluating your current RCS messaging channels and planning AI conversation scripts.
• Source: PR Newswire (https://www.prnewswire.com/news-releases/invoca-launches-messaging-agents-for-google-ads-to-win-the-moments-that-shape-high-stakes-purchases-302289123.html)

4. Brandlight Launches Ad Optimization Platform Spanning ChatGPT and Google AI Overviews

• What Happened: Enterprise AI visibility platform Brandlight launched "AI Ads," a service that helps brands create, deliver, and optimize ads within conversations on AI engines like ChatGPT and Google AI Overviews. The platform can identify which AI conversations competitors are intercepting brand traffic in and automatically optimize budget allocation. The company claims that in real-world testing, they successfully doubled click-through rates (CTR) and cut cost-per-click (CPC) in half within 24 hours.
• Marketer's Take: As major AI platforms roll out ads one after another, cross-AI engine ad optimization tools will become essential weapons for media buyers. However, we should remain objective about the performance data claimed by vendors and avoid blind belief before conducting small-scale tests.
• Actionable Next Steps: Keep an eye on the development of such third-party optimization tools, and first clarify how often your brand is currently mentioned in ChatGPT conversations.
• Source: GlobeNewswire (https://www.globenewswire.com/news-release/2026/10/29/brandlight-introduces-ai-ads-to-optimize-advertising-across-chatgpt-and-google-ai-overviews.html)

5. New Trend in Website Restructuring: Philips and UK Agency Fully Optimize for "AI Machine Readability"

• What Happened: UK digital marketing agency Absolute Digital Media announced a restructuring of its official website, optimizing structured data across all pages for machine reading and citation by AI answer engines like ChatGPT and Gemini. They also pioneered defining success metrics in contracts as "achieving at least a 70% AI mention rate within 30 days." Meanwhile, at the Contentstack Experience Awards, Philips demonstrated migrating 1.9 million web pages to structured content to build an "AI agent-friendly" website, claiming a successful 30% increase in conversion rates.
• Marketer's Take: This indicates that the SEO battlefield has extended from "writing for humans" to "writing for AI machines." If website content lacks proper structured markup, it will completely lose the opportunity to be recommended in the future era of AI search and AI shopping agents.
• Actionable Next Steps: Review whether your website's Schema structured data markup is complete, especially for product specifications and FAQs, to ensure AI crawlers can correctly understand and cite them.
• Source: National Law Review (https://www.natlawreview.com/article/absolute-digital-media-rebuilds-website-ai-search-engines-launches-ai-visibility), GlobeNewswire (https://www.globenewswire.com/news-release/2026/10/28/how-brands-do-agentic-marketing-today-lessons-from-the-2026-contentstack-experience-award-winners.html)

Conclusion

In my view, this series of updates today tells us one thing: the era of AI search and AI agents is not a future prospect, but a present reality. From Google Ads' forced opt-ins to major brands like Philips completely restructuring for "AI-friendly" websites, the next metrics we need to monitor are our own brand's "mention rate" and "citation rate" across major AI search engines. When you head into the office tomorrow, why not chat with your engineering team about a plan to optimize your website's structured data? See you tomorrow!