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Tag: Google AI Mode

How AI Search Engines Prefer Reddit, YouTube, and LinkedIn
During a recent study, I discovered that Reddit stands out as the most-cited domain in AI-generated answers. In fact, it’s ahead of heavyweights like YouTube and LinkedIn, thanks to an analysis of 30 million sources conducted by Peec AI, a tool specializing in AI search analytics.

The findings: I’ve learned that Reddit claims the top spot across various AI platforms including ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews. Top contenders YouTube, LinkedIn, Wikipedia, and Forbes are right behind. Platforms like Yelp and G2 frequently appear when searching for recommendations.

As I delved deeper into the research, it became clear which domains the AI models tend to lean on:
- ChatGPT values Wikipedia, Reddit, and editorial sites like Forbes.
- Google shows preference for platforms such as Facebook and Yelp.
- Perplexity favors Reddit, LinkedIn, and G2 for queries within the B2B realm.
Why we care: The insight that resonated with me was the importance of having authority beyond just our own websites. Brands that consistently feature on reputable third-party platforms have a better chance of being cited by AI.

Why these sources? It’s fascinating to see how AI systems are wired to prioritize both authority and authentic user input:
- I’ve found that Reddit excels because it mirrors genuine user discussions.
- YouTube shines in video citations, owing to their comprehensive transcripts and descriptions.
- Wikipedia not only serves real-time data but also acts as a foundation for training datasets.
About the data: The analysis spanned 30 million sources, providing a comprehensive look at how often domains are directly cited in AI answers, effectively revealing what shapes these responses.

The study. For those interested in a deep dive, the full study is available here: Top domains cited by AI search: Analysis based on 30M sources

Dig deeper. For more on citation research, check out these fascinating reads:
- AI citations favor listicles, articles, product pages (March 2026)
- Only 15% of pages retrieved by ChatGPT appear in final answers (March 2026)
- ChatGPT citations favor a small group of domains (March 2026)
- Google’s AI Mode is citing Google more than any other site (March 2026)
- 44% of ChatGPT citations come from the first third of content (February 2026)
- AI Overview fan-out rankings boost citation odds by 161% (December 2025)
- Tracking AI search citations: Who’s winning across 11 industries (October 2025)
- YouTube dominates AI search with 200x citation advantage (October 2025)
- AI search relies on brand-controlled sources, not Reddit (October 2025)
- How to get cited by AI: SEO insights from 8,000 AI citations (May 2025)
- 82% of Google AI Overviews citations come from deep pages (March 2025)
Inspired by this post on Search Engine Land.
March 31, 2026
Google Expands Shopping Perks with AI Integration Across 14 Nations

I find it fascinating how Google is enhancing the way retailers promote their loyalty programs by embedding these perks directly into product listings. This major upgrade brings the benefits not only to a wider international audience but also into Google’s newest AI-powered shopping surfaces.

Discover the Newest Features. As a merchant, you can now spotlight member pricing and exclusive shipping offers directly on your listings. The expansion of loyalty annotations to local inventory ads and regional Shopping ads means I can now easily promote in-store or region-specific perks.

Why It Matters to Me. Personalizing an offer for shoppers is crucial. By embedding member perks right at the moment of purchase discovery, rather than relying on a separate app or webpage, these programs become more visible and are more likely to entice sign-ups from customers like me.

Important Numbers. Google reports that some retailers have seen up to a 20% increase in click-through rates by showing tailored offers to loyalty program members, which is significant for any business.

Taking a Broader View. The integration of loyalty benefits into Google’s AI-first surfaces, such as AI Mode and Gemini, introduces member offers at an entirely new layer within the search experience, reaching more potential customers during their shopping journey.

Where You Can Experience This. This exciting expansion is now available in 14 countries, including Australia, Brazil, Canada, France, Germany, India, Italy, Japan, Mexico, Netherlands, South Korea, Spain, the UK, and the US. This means a vast audience can benefit from these offerings.

Getting Started Is Easy. Merchants can activate the loyalty add-on in Merchant Center, configure member tiers, and set up pricing and shipping attributes. To take full advantage, it’s necessary to connect Customer Match lists in Google Ads for displaying exclusive pricing and shipping perks to recognized members.

An Opportunity Not to Miss. U.S. merchants are invited to apply for a pilot program that uses Customer Match as a relationship data source for free listings. This could expand the reach of loyalty programs without increasing ad expenditures.

Inspired by this post on Search Engine Land.

March 31, 2026
Uncovering AI’s Citation Preferences: Listicles Lead the Way

I recently delved into a fascinating study exploring how AI citations are significantly influenced by certain content formats. It turns out listicles, articles, and product pages are at the forefront, driving over 52% of mentions across various AI language models.
The research, conducted by Wix Studio AI Search Lab, analyzed a whopping 75,000 AI answers and more than a million citations across platforms like ChatGPT, Google AI Mode, and Perplexity. It’s an exciting revelation that showcases the power of content structure in digital landscapes.
The findings? Listicles claimed the top spot with 21.9% of citations, followed by articles at 16.7% and product pages at 13.7%. When combined, these formats make up a majority of the citations AI references.
What’s interesting is that articles tend to dominate when it comes to informational queries, being cited 2.7 times more than other formats. Meanwhile, listicles capture nearly 40% of commercial-intent citations, almost double compared to any other type.
The Why Behind Intent. It’s fascinating to see how query intent, rather than industry or AI model, is the strongest predictor of which content gets cited. This trend doesn’t shift much across different sectors, from SaaS to health industries.
Informational queries skew towards articles (45.5%) and listicles (21.7%), while commercial queries are dominated by listicles (40.9%). Interestingly, transactional and navigational queries favor product and category pages, with those two formats comprising about 40% of the citations combined.
The Impact for Us. This study is incredibly insightful, illustrating why aligning content types with user intent is more strategic than simply generating content. Articles serve to inform, listicles foster comparisons, and product pages drive conversions. Tailoring content to align with user goals might just be the key to snagging more AI citations and enhancing visibility.
Not all listicles perform equally. In professional services, third-party listicles account for 80.9% of citations, showing a preference for neutral editorial comparisons over branded lists by large language models.
Looking at Model Preferences. While all models have a penchant for listicles, their other preferences vary. ChatGPT leans heavily towards articles and informational content, Google AI Mode shows a balanced approach, and Perplexity stands out with 17% of its citations coming from discussions on platforms like Reddit and forums.
Industry-Specific Trends. Though preferences shifted slightly among industries, there are notable trends. SaaS and professional services veer towards listicles, health sectors favor authoritative articles, and ecommerce spreads its citations across listicles, articles, and category pages. Interestingly, home repair maintains an even distribution across different formats.
I’m intrigued to know more! The comprehensive research can be found here.

Inspired by this post on Search Engine Land.

March 24, 2026
Google’s AI Mode: Revolutionizing Ad Monetization

As I explore the ever-evolving landscape of Google’s AI Mode, it’s fascinating to witness how ad formats, reporting, and control are taking shape. Google seems to have a master plan in place that competitors just can’t keep up with.

I find myself intrigued by Google’s entry into this next phase of conversational search. It’s not just about user numbers but who can effectively monetize them. Google’s mature ad systems and extensive advertiser base offer a significant edge.

The initial panic surrounding Google’s position is over. Google’s long-standing advantages and huge investments have leveled the playing field with ChatGPT in LLM search.

Back in December 2025, when Google declared code red, it became clear that they were serious. Apple’s decision to partner with Google for its AI needs is indeed telling.

Initially, it seemed plausible that Google would struggle against ChatGPT, but the market has since adjusted its views. The company’s valuation reflects renewed confidence, rivaling even Apple at a substantial $3.6 trillion.

As I dive deeper into how monetization will shape this race, I’m struck by how Google’s recent advances have significantly boosted its valuation.

It’s clear that the visibility of financial projections plays a massive role in how the company is perceived financially. Google’s approach to shifts in user behavior is crucial in maintaining its robust business model.

From my perspective, much of your digital advertising budget likely goes to Google. Its prominence demands attention, not just in search but also in emerging AI platforms like ChatGPT and Claude.

The competition in LLM conversations is intriguing. Google and ChatGPT are vying for different monetization models, a fascinating case study of differing strategies.

For those of us in advertising, it’s essential to monitor developments like ad formats, rollout pace, and public reception to ads within these platforms.

OpenAI’s current monetization model is intriguing but still nascent, reliant on a small group of major advertisers. We’ll see how they expand and fine-tune this model over time.

Outsourcing inventory to programmatic partners is a smart move for OpenAI but highlights their early stage in building an ads business.

For Google advertisers, the shift to AI Mode need not be alarming. I’m watching for the ways these LLM sessions are shaping user experiences and ad placements.

One thing is for sure; the enhancements in AI Mode continue, promising more seamless and user-friendly interactions. The potential for ads remains, though their form is still evolving.

Monitoring key areas like the extent of monetization, advertiser control, and campaign types becomes more important as we navigate this new landscape.

Ultimately, the future of advertising in AI-driven search is one of adaptability and strategic planning, aligning closely with user and advertiser behaviors in this exciting yet challenging era.

Inspired by this post on Search Engine Land.

March 19, 2026
Google AI Mode: Ad-Free Personal Intelligence Experience

Recently, I’ve learned that Google’s AI Mode will continue to be ad-free for those of us who connect apps to enable Personal Intelligence. This remains true even as Google expands ad testing in its U.S. rollout of more personalized features.
Although Google is experimenting with ads in AI Mode, those of us who have linked our apps for Personal Intelligence won’t see any ads — a feature confirmed by Google. This decision means our user experience remains focused and personal.
What’s happening.
Google has been testing ad placements within AI Mode in the U.S., and I’ve noticed how they describe these connections as “helpful” to users, which, according to Google, opens new opportunities to discover products and services.
There is, however, an exception — no ads for those of us who opt into app-connected, highly personalized experiences.
The details.
Google has recently expanded Personal Intelligence in AI Mode as a beta for anyone in the U.S., allowing Gemini to create truly tailored responses. By linking data across Google services like Search, Gmail, and YouTube, our experiences become exponentially more personalized.
By opting into Personal Intelligence, I’ve experienced that AI Mode remains ad-free.
Why we care.
With ads potentially moving into AI Mode, Google approaches carefully, especially where personal data is most sensitive. As it stands, Personal Intelligence experiences remain ad-free as Google finds the right balance.
What Google is saying.
A Google spokesperson shared:
“There are no ads for us who connect our apps with AI Mode. That isn’t changing at this moment.”
“Test results over the past months indicate that people find business connections helpful and uncover new opportunities for products and services.”
“Future ads will operate similarly for us connecting apps. They will maintain relevance related to queries, response context, and user interests.”
Bottom line.
In embracing Personal Intelligence, I see Google’s Gemini app positioning itself as a more personalized assistant. This groundwork sets the stage for future ad experiences built on richer, cross-platform user context.

Inspired by this post on Search Engine Land.

March 17, 2026
How Google’s AI Mode Threatens Web Traffic: Insights from Yahoo CEO

As I delve into the evolving landscape of web traffic, I find Yahoo CEO Jim Lanzone’s insights on AI-powered search engines, particularly Google’s AI Mode, incredibly fascinating. He believes this technological evolution poses a significant threat to the web’s traditional traffic model.
Jim highlights a major concern: “I think that the LLMs are one big reason they’re under threat, with AI Mode in Google being the biggest challenge.” This makes me ponder the impact on publishers who rely heavily on these traffic flows.
I resonate with Jim’s view that publishers truly deserve this traffic. He articulates a fundamental truth: “Those publishers deserve [traffic], and we’re not going to have the content to consume to give great answers if publishers aren’t healthy.” This reflects the delicate balance required in the digital content ecosystem.
Why I care. Many websites, mine included, are noticing a dip in traffic coming from answer engines such as Google and OpenAI. It feels like a looming concern that could worsen. Yahoo’s dedication to maintaining the “search sends traffic” model is reassuring, as Jim passionately explains: “We have very purposefully highlighted and linked very explicitly and bent over backwards to try to send more traffic downstream to the people who created the content.”
Yahoo’s unique AI approach. Listening to Jim on the Decoder podcast, I learn that Yahoo is carving its own path with AI. Unlike the more conversational chatbot models, Yahoo isn’t pursuing to be an AI assistant: “Ours looks a lot more like traditional search and it is more paragraph-driven. It’s not a chatbot that’s trying to act like it’s a person and be your friend.” I see this as a move towards emphasizing informative search experiences.
Moreover, “We’re not a large language model. We’re not going to be the place you come to code. We’ve really launched Scout as an answer engine.” This strategy, I believe, could provide a clearer, more reliable information source online.
What’s next: Embracing personalization. In observing Yahoo’s strategy, I’m excited to see their efforts to evolve. They’re embedding AI across platforms: “You are very shortly going to see us get into very personalized results. You’re going to see us get into very agentic actions that you can take.” This indicates a future where user-specific solutions take precedence.
For instance, Jim notes, “There’s a button in Yahoo Finance that does analysis of a given stock on the fly… It is in Yahoo Mail to help summarize and process emails.” Such tools could transform how I interact with content on various platforms.
Yahoo vs. Google: A non-competition. Interestingly, Yahoo isn’t trying to directly outplay Google. Instead, as Jim points out, the focus is on existing users and enhancing their experience: “Nobody chooses, you will not be surprised, Yahoo over Google or somewhere else to search. The way that we get our search volume is because we have 250 million US users and 700 million global users in the Yahoo network at any given time. There’s a search box there. And infrequently, they use it.” It’s more about nurturing the loyalties of existing users.
A word of caution. The conversation also shines a light on the potential pitfalls of heavily relying on AI platforms. Jim references past experiences with Google: “You are tempting fate by opening up a way for consumers to access your product within a large language model.” This analogy resonates with me deeply, remembering the cautionary tales in tech history.
Yet, he warns: “The big bad wolf will come to your door and say everything’s cool.” It’s a timely reminder of the ever-competitive and unpredictable nature of tech alliances.
The interview. For those intrigued by Yahoo’s journey, check out Yahoo CEO Jim Lanzone’s full interview on reviving the web’s homepage.

Inspired by this post on Search Engine Land.

March 17, 2026
Inside Google AI: Why It’s Citing Itself More Than Ever
It’s fascinating to see the evolution of Google’s AI Mode and how it increasingly cites Google itself. In fact, almost one out of every five sources in its AI-generated answers now originates from Google, often guiding users back to more Google searches.

Why does this matter to us? As someone deeply involved in the world of digital content and SEO, I’m aware that AI search should highlight the best online sources. If Google prioritizes its own content, there’s a risk that we might encounter fewer direct links and see a reduction in traffic as users remain within Google’s ecosystem.

So let’s delve into the details. Research by SE Ranking reveals that Google.com is the most cited source within AI Mode responses, making up 17.42% of all references. This makes Google more mentioned than even the combined total of the next six well-known platforms: YouTube, Facebook, Reddit, Amazon, Indeed, and Zillow.

In an accelerated trend, back in June 2025, Google referenced itself in only 5.7% of AI-generated answers, but now that figure has tripled.

Almost one out of five AI citations is from Google. When considering YouTube, Google-owned properties account for about 20% of all sources.

This self-referencing is quite pronounced, with AI Overviews linking heavily to Google properties such as Maps, Images, and YouTube. AI Mode expands on this by further embedding users within the Google environment, often through presenting additional search results rather than directing them to external sites.

This strategy keeps users engaged with Google platforms where monetized content such as ads and reviews can be found.

What’s changed? Previous research showed that Google was mostly citing Google Business Profiles. However, this trend has shifted:
- Travel: 53.18% of citations
- Entertainment & hobbies: 48.74% of citations
- Real estate: 30.54% of citations
Interestingly, the one area where Google is not the top source is Careers and Jobs, where Indeed appears more than three times as often as Google.

The data supporting these findings were gathered by SE Ranking, who analyzed 68,313 keywords across 20 industries, reviewing over 1.3 million AI Mode citations to determine how frequently Google.com was referenced.

If you’re interested, I recommend checking out the full report titled “Is Google stealing your clicks in AI Mode? (1.3M+ citations analyzed)” for an in-depth exploration.

Inspired by this post on Search Engine Land.
- 59% of citations now direct to conventional Google search results.
- 36.1% still reference Google Business Profiles.
- A smaller portion links to Google Support (1.7%), Google Flights (0.1%), and other Google services.
- Often, these AI citations are accompanied by a mini search results panel beside the answer, effectively creating a new search opportunity.
Industry differences are also evident. Google dominates citations across several topics, but some sectors show a stronger dependency on Google:
- Travel: 53.18% of citations
- Entertainment & hobbies: 48.74% of citations
- Real estate: 30.54% of citations
Interestingly, the one area where Google is not the top source is Careers and Jobs, where Indeed appears more than three times as often as Google.

The data supporting these findings were gathered by SE Ranking, who analyzed 68,313 keywords across 20 industries, reviewing over 1.3 million AI Mode citations to determine how frequently Google.com was referenced.

If you’re interested, I recommend checking out the full report titled “Is Google stealing your clicks in AI Mode? (1.3M+ citations analyzed)” for an in-depth exploration.

Inspired by this post on Search Engine Land.
March 6, 2026
Google Enhances AI Recipe Searches to Empower Bloggers

I recently discovered that Google is refining its AI Mode for recipe searches, which is great news for those of us who blog about food. According to Robby Stein from Google, they’ve listened to our feedback about AI Mode’s recipe results.

They’ve made these changes to help us connect better with our audience online. Though I’m still unsure if AI might simplify our recipes too much, these updates should make it easier for users to visit our sites directly.

Starting today, when people look up meal ideas like “easy dinners for two,” they’ll be able to tap on dishes to find links to our recipes and even get a quick overview to spark their culinary creativity.

What it Looks Like Take a look at this video showcasing the feature in action:

More Recipe Details Google is also adding cook time and other details to the results. They found that having this information helps users decide on which recipe to try.

Stein mentioned that more updates are on the horizon, which is promising for us content creators.

Why We Care This update is crucial because traffic from Google’s AI features hasn’t been kind to our visitor numbers. Google’s efforts to make these AI interactions lead more users to our blogs is a step we all welcome.

Will these enhancements bring significant changes? Only time will tell, but I’m hopeful.

Inspired by this post on Search Engine Land.

March 4, 2026
Google Ads: From Keywords to Intent-Driven Success
I’ve noticed a significant shift in how Google Ads operates. No longer is it about simply targeting keywords. Now, it’s all about understanding and leveraging user intent. Here’s what this evolution means for eligibility, structure, and PPC strategy.

Most PPC teams, myself included, have operated on autopilot: compiling keyword lists, assigning match types, and structuring ad groups around search terms. This was the norm.

However, Google’s auction process has transformed. Search interactions are evolving into more conversational experiences. People engage with AI as if they’re having a dialogue, asking follow-up questions and refining their inquiries. AI now reasons through a question before linking it to suitable ads.

Today, the auction isn’t kicked off by a keyword but by the user’s implied intent. If I’m still relying on exact and phrase match structures, I’m planning for a system that’s no longer there. It’s time to embrace intent as the foundation—not the specific words typed, but the underlying goals they signify.

With this intent-first approach, I find a more resilient strategy. It allows me to effectively design campaigns, creativity, and metrics, especially as Google rolls out new AI-focused formats.

While keywords still play a role, they no longer serve as the framework.

Recently, I’ve learned about changes happening under the hood during a search.

Google’s AI now utilizes a method called “query fan out,” which breaks down complex queries into subtopics and conducts simultaneous searches to provide a comprehensive response.

The auction begins even before users finish typing. Importantly, AI can deduce commercial intent from purely informational searches.

For example, if someone asks, “Why is my pool green?” Google understands they’re troubleshooting, not shopping, but identifies potential product needs and displays ads for pool-cleaning supplies. The AI’s reasoning layer recognizes the solution products offer.

This change in auction logic focuses on matching offerings to the user’s inferred intent, rather than merely matching keywords to queries. Recognizing this shift is crucial, or I risk misinterpreting the user journey.

I’ve come to appreciate the intricacies of an intent-first approach. It doesn’t eliminate the need for keyword research but changes how I prioritize keywords. Now, I align campaigns to the user’s intent.

This strategy encourages me to consider:
- What problem is the user addressing?
- What stage of decision-making are they in?
- What role does the product play in solving their issue?
Realizing that the same intent can emerge from various queries and that identical queries can express different intents based on context has been illuminating. Phrases like “Best CRM” might indicate a need for feature comparison or a readiness to purchase; Google’s AI can now make those distinctions, and so should my campaigns.

This shift is more mental than tactical. While I still build keyword lists, they’re now organized by intent rather than match type. My ad copy speaks directly to user goals instead of echoing search terms.

Moving from keywords to intent isn’t merely a tactical alteration—it’s a strategic lens through which I plan for future campaigns, especially as Google enhances its AI-driven ad formats.

Reorganizing campaigns around intent rather than keywords has its immediate effects, impacting eligibility and landing page efficacy while fundamentally influencing system learning.

Inspired by this post on Search Engine Land.
February 5, 2026
How AI is Transforming Google Search Engagement
Google Search is currently experiencing what I see as an ‘expansionary moment,’ powered by the dynamics of AI technology. The search experience I rely on has transformed through longer queries, follow-up questions, and the increasing use of voice and images. This was highlighted during Alphabet’s recent earnings call, where executives shared these evolving trends.

In other words: Google’s search interface is becoming increasingly AI-driven, facilitating interactions within its system. This isn’t about replacing old queries—instead, we’re witnessing a new era of digital exploration.

Why we care. The integration of AI into Google Search is not just a trial. For me, it’s a structural transformation altering how we discover, interact with, and navigate the web.

By the numbers: Alphabet’s Q4 advertising revenue reached $82.284 billion, marking a 13.5% increase from $72.461 billion in 2024.
- Google Search & other: $63.073 billion (up 16.7%)
- YouTube: $11.383 billion (up 8.7%)
- Google Network: $7.828 billion (down 1.5%)
For the 2025 fiscal year, Alphabet’s advertising revenue climbed to $294.691 billion, a growth of 11.4% from the previous year.
- Google Search & other: $224.532 billion (up 13.4%)
- YouTube: $40.367 billion (up 11.7%)
- Google Network: $29.792 billion (down 1.9%)
AI Overviews and AI Mode are now core to Search. Sundar Pichai, Alphabet/Google’s CEO, emphasized how central AI has become to Google’s search products, with over 250 AI-related product launches in just the last quarter.

Google has recently upgraded its AI Overviews to the Gemini 3 model, a move that connects AI Overviews more seamlessly with conversational search experiences.
- “We have also made the search experience more cohesive, ensuring the transition from an AI overview to a conversation in AI mode is completely seamless,” Pichai noted.
AI is driving more Google Search usage. As Google puts it, AI-driven search is expanding the ways people use search rather than replacing traditional searches.
- “Search saw more usage in Q4 than ever before, as AI continues to drive an expansionary moment,” Pichai emphasized.
- “Once people start using these new experiences, they use them more,” he added.
Changing search behavior. AI Mode is making searches longer, more conversational, and multimodal. “Queries in AI mode are three times longer than traditional searches,” said Pichai.

Not only are queries longer, but sessions are also becoming more conversational, often leading to follow-up questions.
- “We are also seeing sessions become more conversational, with a significant portion of queries in AI Mode now leading to a follow-up question,” he said.
- “Nearly one in six AI mode queries are now non-text, using voice or images,” Pichai shared.
Google’s visual search capabilities continue expanding with “Circle to Search” available on over 580 million Android devices.
- “We haven’t seen any evidence of cannibalization,” Pichai said about the coexistence of Google Search and the Gemini app.
- “The combination of all of that, I think, creates an expansionary moment,” he concluded.
Inspired by this post on Search Engine Land.
February 5, 2026

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