I recently came across an important update from Google that I believe every retailer should pay attention to. Starting in March 2026, Google Merchant Center will implement a new requirement for multi-channel products, which are those available both online and in stores. This involves using separate product IDs when product details differ by channel.
Understanding the Changes. So, what’s changing? Essentially, online product attributes will now act as the standard. If there is a variation in the product details for in-store items, such as different pricing or availability, I’ll need to create a separate version with a distinct product ID and manage it separately in my feeds.
Steps to Take. Google has already started reaching out to affected accounts, marking products that will need updates before the March deadline. It’s critical for me to review my product data feeds to ensure that items are properly segmented between online and in-store, especially if I’m utilizing Local Inventory Ads or operating across multiple Google platforms.
The Importance of Compliance. This change is not just procedural; it’s crucial because many retailers, including myself, have been managing online and in-store versions of products under a single ID. Google’s update demands that I now explicitly separate these products when attributes like price, availability, or condition differ.
The Broader Impact. This update, while providing Google with cleaner, more consistent product data across channels, places additional responsibility on advertisers like me for feed management, especially if my inventory is complex and extensive.
Initial Announcements. This update and the communication from Google were initially highlighted by PPC News Feed founder Hana Kobzová. I’m grateful for their early insights.
Key Takeaway. If my products catalog for online and in-store are not perfectly aligned, Google’s new system requires that I start treating them as separate entities to maintain visibility and eligibility on Google’s platform.
Learn More. To understand more about Google’s multi-channel product system update, I suggest visiting this support page.
I recently discovered that Google is planning to lift its previous restrictions on ads for prediction markets in the U.S., starting January 21st. This is exciting news as it opens a previously restricted category on Google Ads, though with stringent rules in place.
Google will only permit ads from entities that are federally regulated. These developments mean that only Designated Contract Markets (DCMs) authorized by the Commodity Futures Trading Commission (CFTC) are eligible. Additionally, brokerages registered with the National Futures Association (NFA) offering access to products listed by qualifying DCMs can also participate. However, advertisers need to become Google certified to run these ads in the U.S.
Why am I interested in this? Because prediction markets have historically been a restricted area on Google Ads. The new policy could greatly benefit advertisers, providing access to a target-rich, high-intent audience, yet within set compliance and regulatory confines. The strict eligibility criteria mean less competition—only those meeting stringent compliance standards need apply.
All advertisements must comply with local laws, financial regulations, and Google Ads policies. This new policy is already available for preview in the Advertising Policies Help Center, specifically in the Financial Services and Gambling and Games sections.
Looking at the more prominent perspective, it’s evident that Google is carefully extending its policy by acknowledging prediction markets as regulated financial products, yet keeping unregulated platforms at bay.
As I type my search query in Google, I’ve noticed an interesting change. The usual AI Mode button is sometimes replaced by a striking blue ‘Send’ button right in the search box.
Google is currently testing this new feature. Traditionally, the AI Mode button appears on the right side of the search box, but it seems this might be changing. As soon as I start typing, the ‘Send’ button takes its place.
What it looks like. Recently, I came across a post by Shameem Adhikarath, who shared a video of this new feature on X.
From the video, it’s clear that when I start typing my query, the AI Mode, Lens, and Microphone buttons vanish, leaving behind this new blue ‘Send’ button.
Interestingly, the familiar plus sign remains unaffected, sticking around as always.
Why this matters. While this is currently just a test, it could have significant implications. If implemented, it might mean fewer users are directed to Google’s AI Mode, prompting more straightforward searches.
For those of us who rely on AI Mode, this change could make accessing it a bit more challenging, urging us to adjust how we initiate searches.
I’ve got some exciting news to share—Google has just added Maps to the Demand Gen channel controls, giving us advertisers more flexibility than ever. Now, I can choose to run Demand Gen ads on Google Maps alongside other channels or even as a standalone placement!
Personally, this expansion opens up incredible opportunities for me to target users with intent-driven ads while having better control over where my ads show up. Google Maps, in particular, is a fantastic addition if you’re aiming for those crucial location-based placements.
What’s new. Now, I can select Google Maps as a channel within Demand Gen campaigns, either pairing it with other channels or running exclusively Maps-only campaigns. This gives me the strategic flexibility to mix and match, depending on my campaign goals.
Why we care. As advertisers, we get a powerful, location-focused tool in Demand Gen campaigns. It allows us to craft campaigns that cater to high-intent situations like local searches and navigation, marking a vital move towards precise channel control in campaigns traditionally managed more automatically.
Response. The advertising community is buzzing with excitement over this update. Like many others, Anthony Higman, CEO of AdSquire, has eagerly awaited such features for years. It’s an anticipated change that could redefine how I approach location-centric ads.
Between the lines. This move by Google signifies a shift towards greater transparency and control for advertisers. It’s a response to our demands, offering more modular and selectable distribution channels in Demand Gen, which I believe will enhance campaign efficiency.
What to watch. I’m keen to see how Maps placements will perform in comparison to other channels, such as YouTube, Discover, and Gmail. Also, I’ll be monitoring whether Google expands its reporting or optimization tools specifically for Maps inventory.
First seen. This update was initially spotted by Francesca Poles, a Search Marketing Specialist, when she shared it on LinkedIn. It’s great to have marketers like her keeping us all in the loop.
Bottom line. The inclusion of Google Maps in Demand Gen channel controls is a game-changer. For someone like me, it offers fresh strategic avenues, especially for crafting campaigns that are centered around location-based engagement.
Starting in January 2026, I’ll see Google updating its Pharmaceutical policy for AdMob Authorized Buyers. This update allows ads for prescription drugs and services in certain markets without needing Google certification. However, they will tighten restrictions on what remains prohibited.
What’s changing? Google’s policy will now be called “Pharmaceutical products and services.” This change permits Authorized Buyers to promote prescription drugs and services legally in specific countries, without requiring Google certification as is usually demanded in Google Ads.
Although access is broadening, the basic rules remain stringent. The policy modifications intend to enhance clarity and readability rather than reducing enforcement.
Why do I care? This update lets me tap into pharmaceutical advertising inventory without needing Google certification, creating fresh opportunities and competition in programmatic auctions. However, it places more compliance responsibility on my shoulders, increasing the risk of policy violations if geo-targeting and creative controls aren’t precise.
I should consider that even non-pharma advertisers might experience changes due to increased demand and ad presence affecting pricing, brand safety, and placement strategies.
What’s still banned? Ads related to clinical trials, miracle cures, illicit drugs, addiction services, crisis hotlines, and experimental treatments remain banned across Google Partner Inventory.
Looking deeper. While Google is opening access, it’s also transferring responsibility to me as a buyer. By removing certain certification requirements for Authorized Buyers but maintaining strict controls, compliance risk is pushed firmly onto buyers and publishers.
What should I do now? As an app publisher using AdMob, I should review category blocking and ad controls to ensure unwanted pharma ads are excluded, especially as more inventory becomes permissible. I need to prepare for enforcing rules country-by-country and carefully audit creatives.
I’ve been following the significant regulatory move in which the European Commission launched a formal antitrust investigation into Google.
At the heart of this issue is Google’s use of publisher content to develop AI Overviews and other generative AI features, potentially diverting traffic from original publishers.
As someone involved in SEO or content strategy, I’m immediately affected by these developments.
The question I’m pondering is whether Google is overstepping by using publisher content for AI answers, or if it’s just part of being in an open web environment.
With regulators stepping in, I’m seeing the industry reevaluate how we use, manage, and value machine-readable content. It raises questions about the cost to brands, publishers, and agencies if regulation doesn’t catch up with innovation.
Here’s what’s going on, why it’s significant, and how the industry is already responding.
What’s Actually Happening: Core Allegations in the Complaint
This move from the EU is unfolding alongside other legal challenges, like those from publishers taking a stand against OpenAI and Penske Media’s recent antitrust suite targeting Google’s AI offerings.
Many publishers see Google’s actions as a no-choice situation: allow the use of their content for AI, or face losing vital search traffic.
At the same time, I notice how technical tools like robots.txt, Google-Extended, and new noai/nopreview conventions are reflecting an industry that’s striving to reclaim control.
The crux of the issue is whether AI training and answer generation stretch the bounds of traditional indexing and require licensing or proper attribution.
The Big Debate: ‘Google Doesn’t Owe You’ vs. ‘It’s Not Their Content’
I often see the assumption that control of web content lies in our hands.
Yet, without search engines, their reach is quite limited.
This tension fuels an ongoing debate dividing SEO perspectives.
On one side is the belief that ‘Google doesn’t owe you anything’.
Many argue that the web is open, allowing search engines to crawl freely grants implicit permission for content use.
Google facilitates discovery, but clicks or backlinks aren’t guaranteed.
On the flip side, there’s the perspective that ‘It’s not their content’.
Publishers argue against unlicensed use of content for LLM training and AI responses.
They see generation without attribution or compensation as disruptive.
This debate is active across social media and discussion forums.
Some suggest focusing on generative engine optimization, or GEO, replacing traditional rankings with AI quotes.
Nonetheless, that approach keeps publishers reliant on Google’s linking decisions.
In practice, there’s validity to both arguments.
Yet, the broader trend reveals the trajectory.
Even if Google faces consequences, search is unlikely to return solely to blue links.
The zero-click conversion is advancing.
The Dark Future of a Web Without Unique Content
Before diving into potential outcomes of the complaint, consider the impact on information itself.
As creators feel their work is reused without reward, the drive for original content wanes.
Simultaneously, AI-generated content is growing, often with minimal human input.
Entire sites now rely heavily on generative systems for content.
This often involves reworking existing text, with occasional inaccuracies.
As this cycle continues, the risk is declining informational quality due to a lack of truly fresh inputs.
The debate over AI training isn’t just about traffic or monetization.
It questions how the web can sustain unique knowledge creation and why protecting publishers is crucial to prevent information quality degradation.
What Can Happen if Google Loses
The traditional Google-publisher agreement was straightforward: “I let you crawl, you give me clicks.”
Generative AI disrupted this balance.
If the EU finds Google’s actions anticompetitive, we could witness major shifts:
Mandatory opt-out mechanisms: Effective changes could enforce a granular system that protects against AI summaries without sacrificing rankings.
The licensing economy: Following the music industry model, licensing could become compulsory, splitting organic search into free and premium sectors.
AEO formalization: Attribution could be legally required, turning source citations into a ranking factor.
Ads and the Shifting Economics of Visibility
While this primarily concerns AI and content rights, ads still significantly impact SERP dynamics.
As organic space shrinks due to AI summaries, paid ads remain a strong visibility tool.
Even if EU pressures curb AI answers, the space for blue links is unlikely to grow.
The landscape will continue to favor revenue-driven Google products.
If AI Overviews reduce organic visibility, CPCs could rise, affecting ad positions.
Whatever the AI outcome, one truth is apparent: the cost of visibility is on the rise.
How to Adapt Your SEO and Content Strategy
Before any EU decision, I see top teams already shifting their strategies from merely ranking for keywords to ensuring they are the main entity answer wherever an AI model scans.
This involves several key actions:
Enhancing entity clarity with schema and consistent data for accurate AI association.
Auditing brand representation in AI Overviews and tracking emerging visibility KPIs.
Reconsidering robots.txt strategies to manage IP protection versus AI visibility.
Educating leadership that visibility extends beyond traffic, incorporating citation and AI source value.
The strategic goal is remaining readable and rights-conscious while ensuring brand presence where AI answers are most trusted.
Recently, I noticed that Google has introduced ‘read more’ links right in the search result snippets. When you click these links, they take you directly to a specific section of a webpage that is relevant to your query.
While not every search snippet includes these links, I’ve found that many do, offering a deeper dive into the content right from the search results.
What it looks like. You can check out a screenshot of how these links appear. It’s quite likely that you’ll encounter them if you perform a search now.
I remember Google testing similar features back in July, and it seems they’ve finally rolled it out more broadly.
Why we care. These ‘read more’ links introduce an extra clickable area in the snippets, potentially driving more traffic to websites, which is always a positive outcome.
Ultimately, more clicks mean more engagement with our content, so I’m hopeful that this feature is here to stay.
I’ve noticed that Google has recently made a significant change to its Ad Manager by removing the unified pricing rules. This change allows publishers like me to set different price floors for various bidders, potentially causing a shift in programmatic auction pricing.
In practical terms, this means I can now specify that one buyer must bid at least $5 while others might have a lower minimum of $2. Interestingly, Google has also rebranded “unified pricing rules” to just “pricing rules.”
Before 2019, I had more flexibility to set higher floors specifically for Google, which helped balance its data advantages. However, this was all put on hold when uniform pricing was mandated, a decision that didn’t go unnoticed by regulatory bodies in the U.S. and Europe.
Why does this matter to me? With the return of bidder-specific pricing rules, the auction dynamics shift. Higher floors for certain buyers could influence win rates and CPMs, ultimately affecting my advertising strategies and inventory.
Regulatory pressure seems to be a catalyst for this rollback. For instance, the U.S. accused Google of anti-competitive behavior, which resulted in proposals to end unified pricing. Meanwhile, Europe fined Google €2.95 billion, demanding it cease self-preferencing within the ad tech supply chain.
According to Google, this update should simplify the process for publishers and advertisers like me to work with competing ad tech solutions, while aiming to minimize disruption. They view this as part of broader strategic changes across display, video, and app ads.
Industry reactions appear positive. Jason Kint from Digital Content Next mentioned that the change brings meaningful relief, as unified pricing previously reduced yield. It also signals compliance with regulatory pressures, potentially averting stricter remedies.
Ultimately, after more than six years, I feel like I’m regaining some control over the pricing in Google Ad Manager. This shift is less about Google’s product strategy and more about responding to intense antitrust scrutiny.
I’ve just learned that Google is rolling out the new Gemini 3 Flash as the default AI Mode in Search globally, and I couldn’t be more intrigued. This update promises to supercharge our search experience with faster and smarter answers, elevating the way we approach complex questions and planning tasks.
The significance of this update lies in Google’s shift towards an AI-first approach in search. By integrating AI Mode more deeply, it’s possible that we’ll see more direct answers to our queries, potentially diminishing reliance on traditional search result listings. The enhanced reasoning capabilities mean I can expect this new AI Mode to tackle tasks involving comparisons and multi-step inquiries even more efficiently.
So, what’s exactly changing? Google has now equipped AI Mode in Search globally with the power of Gemini 3 Flash, phasing out older Flash-class models. This transition results in AI Mode responses that offer Gemini 3-level reasoning, improved speed, and lower latency.
Here’s what AI Mode actually does according to Google’s announcement:
– It breaks complex queries into manageable parts.
– Real-time information and links are effortlessly pulled from across the web.
– Answers are presented in a visually organized and structured manner.
– It handles multi-step tasks efficiently, like trip planning or learning intricate topics.
Tulsee Doshi, Google’s senior director of product management, mentioned in a blog post how Gemini 3 Flash leverages enhancements in reasoning capabilities. By considering each facet of our queries, it’s designed to deliver thoughtful and comprehensive responses that integrate real-time and local insights. For someone like me aiming to plan a last-minute getaway or delving into complex learning objectives, this is especially compelling.
I’ve been captivated by how Google AI Overviews shifted the search landscape in 2025. Since then, I’ve delved into a detailed analysis by Semrush, which evaluated over 10 million keywords, revealing significant volatility, an increase in ads, stronger click-through rates (CTRs), and AI Overviews venturing beyond purely informational searches.
The year witnessed a rapid expansion of AI Overviews in Google’s search functions, which eventually tapered off as they began appearing in commercial and navigational inquiries. Between January and November, Semrush’s analysis identified these dynamic changes.
AI Overviews surged, then retreated. The deployment of AI Overviews was far from linear. Google introduced them at a rapid pace, peaking mid-year, then scaled back based on user data and feedback:
January: AI Overviews appeared in 6.5% of all queries.
July: Their presence peaked, appearing in nearly 25% of searches.
November: By this time, their appearance was retracted to less than 16%.
Zero-click behavior defied expectations. Contrary to initial beliefs, I noticed that click-through rates for searches with AI Overviews have increased steadily. It seems that rather than reducing clicks, AI Overviews may actually encourage them.
AI Overviews are more common on searches that generally lead to no clicks.
But when examining the same keywords pre and post-introduction of an AI Overview, the zero-click rates decreased from 33.75% to 31.53%.
Informational queries no longer dominate. At the start of 2025, AI Overviews predominantly served informational purposes:
January: 91% informational
October: 57% informational
Eventually, I observed AI Overviews appearing in commercial and transactional searches:
Commercial queries: Jumped from 8% to 18%
Transactional queries: Increased from 2% to 14%
Navigational queries are rising fast. Interestingly, there’s a noticeable increase in AI Overviews intercepting brand and destination searches:
Navigational AI Overviews rose from under 1% in January to over 10% by November.
Google Ads + AI Overviews. Earlier this year, ads rarely appeared next to AI Overviews. Now, their presence is much more common:
Ads alongside AI Overviews grew from about 3% in January to around 40% by November.
Roughly 25% of AI Overview SERPs now show ads at the bottom.
Science is the most impacted industry. In terms of keyword saturation, Science tops the list with AI Overviews appearing in 25.96% of searches. This is followed by Computers & Electronics at 17.92%, and People & Society at 17.29%.
Since March, Food & Drink has experienced the fastest growth among all categories in AI Overview usage.
In contrast, sectors like Real Estate, Shopping, and Arts & Entertainment see AI Overviews in less than 3% of queries.
Why we care. With AI Overviews persistently reshaping click behaviors, commercial visibility, and ad placements, I believe it’s important to keep a close eye on these shifts and adapt accordingly.
