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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
Unlocking the Power of YouTube’s AI-Driven Creator Partnerships

During YouTube’s NewFront presentation, I discovered a groundbreaking update to their Creator Partnerships platform. This update introduces Gemini-powered creator matching, enhanced measurement tools, and innovative ad formats that leverage creator content. As a creator and marketer, this is incredibly exciting news!

Why I care. As someone invested in influencer marketing, I know how essential it is to find the right creators and showcase a solid return on investment. YouTube’s latest upgrades address these critical challenges, making influencer campaigns more efficient and measurable.

With Gemini-powered matching, I can now easily navigate through three million creators to find the perfect fit for my campaigns. Plus, the ability to run creator content as paid Shorts and in-stream ads helps me quantify success just like any other campaign, boasting a reported 30% conversion lift.

How it works. YouTube’s platform updates use Gemini to suggest creators from their extensive pool of over three million YouTube Partner Program members. This selection is tailored to align with my campaign goals, ensuring greater control and visibility of partnerships’ performance.

The big new feature. What truly excites me is the revamped Creator Partnerships boost. This feature allows me to run creator-made content directly as Shorts and in-stream ads – formats that reportedly deliver an impressive average 30% lift in conversions.

The big picture. This announcement builds on BrandConnect, YouTube’s existing infrastructure for creator monetization. It’s clear to me that YouTube is significantly enhancing the creator economy as a powerful growth strategy for advertisers.

What’s next. If you’re as intrigued as I am, you can watch the full NewFront presentation on YouTube for further insights into these tools.

Inspired by this post on Search Engine Land.

March 31, 2026
Transform Your Marketing: Google’s Veo Brings AI Video Generation to Google Ads

I’ve discovered an exciting new development in Google Ads — a tool called Veo, which lets me easily convert up to three static images into engaging 10-second video ads for YouTube. All of this is possible without the need for extensive video production.

Now, I can craft short videos directly in Google Ads thanks to Veo, Google’s advanced generative video model. There’s no need to worry about video production hassles anymore.

How it works. I simply upload up to three static images into the Asset Studio, and Veo magic happens. It generates videos up to 10 seconds long, incorporating natural motion tailored for YouTube’s audience. With customizable templates, these can quickly become ready-to-serve ads.

What else it can do. By integrating with Nano Banana, I can further enhance my creatives, swapping backgrounds, adjusting texts, and fine-tuning content for specific audience interests.

The bigger picture. This innovation is part of Google’s ongoing effort to democratize video advertising. Earlier, I witnessed the rollout of video templates and automatic video creation in Demand Gen campaigns, and now, this takes things a step further, making creative video accessible to advertisers without extensive production resources.

Why we care. Video ads generally outperform static graphics on YouTube, but typically, they demand significant time, budget, and expertise. Veo simplifies this, enabling me to transform existing product images into professional video ads rapidly. For campaigns heavy on images, this is a game-changer.

Early testing caught my attention when Ameet Khabra, founder of Hop Skip Media, shared insights on LinkedIn. She noted that “consumer product brands with clean imagery and inherent motion logic will benefit most.”

The bottom line. With AI creative tools becoming mainstream in Google’s ads platform, the divide between advertisers with and without production budgets is narrowing. If you’ve struggled to get a video production budget approved and have assets with inherent motion logic, now is an excellent time to experiment with AI-generated video in Google Ads.

Inspired by this post on Search Engine Land.

March 27, 2026
YouTube Experiments with AI Summaries: A Game Changer?

I recently came across an intriguing development on YouTube where Google is testing AI-generated summaries in video feeds. Essentially, this involves replacing traditional video titles with AI-created synopses, leading to quite a stir in the community.

As a YouTube user, I noticed these AI summaries popping up in the Android app. Some users on Reddit have pointed out that video cards are now missing titles, and instead have collapsible summary boxes—definitely a twist from what we’re used to.

The details. Video thumbnails still appear as usual, but the absence of titles has caught my attention.

AI summaries are housed in expandable text boxes right below each video, which means we need to tap to understand the content fully. So far, this test seems confined to Android users on YouTube.

What it looks like. A Reddit user named GrimmOConnor shared a screenshot that demonstrates these changes.

Why we care. The shift toward AI summaries makes me wonder about the control creators have over their content’s presentation. Titles play a crucial role in ranking and driving clicks. Replacing them might affect keyword strategy, brand voice, and engagement—and there’s the risk of inaccuracies that could impact performance.

The context. It’s worth noting that Google is already exploring AI-generated headline rewrites in Search results, which seems to be part of a larger strategy extending beyond Discover and now reaching YouTube as well.

Google mentioned a “small” experiment in Search where original page titles were swapped for AI-generated versions to enhance query matches and engagement.

Reaction. Feedback so far hints at a less satisfying browsing experience. The added step of expanding summaries could slow down discovery and hinder content selection, which opposes YouTube’s engagement goals.

What’s next. There’s no word yet from YouTube about a wider rollout. The absence of titles might just be a bug, but integrating AI summaries fits with Google’s broader push into using generative AI.

First seen. I first learned about this test through Android Authority.

Inspired by this post on Search Engine Land.

March 27, 2026
Embrace ‘Search Everywhere’: Revolutionizing SEO Strategies

AI is undeniably evolving search, but I notice that visibility is significantly leaning towards platforms that are dominating the results and capturing user attention.

Much of today’s SEO discussions revolve around AI, from AI Overviews to ChatGPT and other LLMs. There’s genuine concern about these technologies diverting traffic from business websites, urging a shift towards GEO or AEO.

This concern holds merit. AI is indeed diminishing traffic for numerous sites, particularly those dependent on top-of-funnel, informational content. However, data indicates that AI might not be the sole driving force of change.

For years, I’ve observed user behavior splintering across various platforms in my agency work.

Here’s the data on how search behavior is evolving across platforms and why adopting a ‘search everywhere’ strategy is crucial, beyond just focusing on LLMs.

Third-party Platforms are Disrupting Traditional Search

People now turn to TikTok for restaurant suggestions, YouTube for tutorials, Reddit for authentic reviews, and Amazon for purchasing products. These platforms are often replacing traditional search engines like Google and Bing as the initial resource.

This shift isn’t just behavioral; it’s reflected in traffic metrics too. Amazon and YouTube, for instance, drive considerably more desktop traffic than ChatGPT, a trend highlighted by Rand Fishkin.

Recently, I conducted a thorough share of voice analysis for a client, with objectives to identify competitors leading in traditional search, discover keyword and content gaps, and devise a content roadmap to address these gaps.

Interestingly, the analysis revealed that our main competitors weren’t other traditional players, but rather platforms like YouTube and Reddit.

These platforms perform strongly in traditional searches, claim valuable SERP real estate, and redirect users from Google and Bing to their ecosystems.

The key takeaway: neglecting these platforms means missing out not only on visibility in traditional search but also on grabbing valuable user attention when they move away from Google to watch videos or read threads.

It’s not just my client’s site seeing this trend. Undertake this kind of analysis for your site to discover who your actual competitors are in traditional search; the findings might surprise you.

Dive deeper: Why social search visibility is crucial for discoverability

Third-party Platforms Can Have Higher Search Volumes

Not only are platforms like YouTube and Reddit securing traditional SERP spaces, but searches within these platforms can sometimes outnumber those on Google or Bing.

For instance, YouTube is a powerhouse for tutorials and “how-to” content. A term such as “how to fix a leaky sink faucet” shows 15 times more search volume on YouTube than in traditional searches globally.

While search volumes are estimates, aligning your content strategy with where users are actually searching is crucial. For topics like the one mentioned, creating a YouTube video is essential.

For a holistic ‘search everywhere’ approach, develop a blog post and embed the related video.

Dive deeper: Why YouTube is essential for SEO in the AI era

Third-party Platforms are Cited More in LLMs

‘Search everywhere’ isn’t just about traditional or in-platform searches; it also influences AI-generated content.

LLMs rely on content for answer synthesis, and often, that content is sourced not from business websites, but from third-party and social platforms.

Tools like AI visibility tools can illustrate the impact of ‘search everywhere’ in terms of citations. Consider these examples:

Despite being different brands, a minimal percentage of citations are from their own or competitors’ sites. Nearly 90% originate from third-party news and online publications or social and forum platforms like Reddit or Quora.

Focusing solely on your website in the context of LLM citations offers limited reach. To enhance brand perception or accuracy in AI reflections, influence must reach places beyond direct control.

Dive deeper: SEO’s new battleground: Securing the consensus layer

Start Investing in ‘Search Everywhere’ Today

The competitive arena is transforming, and many marketers focus narrowly on AI. Yet, discovery spans numerous platforms.

YouTube, Reddit, Quora, and others dominate traditional search results and have significant search activity within their platforms. When AI generates answers, it chiefly draws from these sources rather than brand websites.

To achieve success in modern search, it’s vital to understand where your audience is truly searching, which extends beyond just Google. It’s about appearing wherever decisions are shaped.

Inspired by this post on Search Engine Land.

March 23, 2026
YouTube’s Innovative Ad Strategy: The Sticky Banner Test

Recently, I’ve noticed that YouTube is testing a pretty intriguing feature—a sticky banner that keeps ads visible even after I’ve hit the ‘skip’ button. This seems to offer advertisers a chance for extended exposure, way beyond the initial view.

What’s Happening? Picture this: I skip an ad, expecting it to vanish forever, but instead, a branded card remains on my screen until I decide to dismiss it. YouTube is experimenting with this sticky banner overlay, altering how I perceive skippable ads.

How It Works Usually, when I skip an ad, I return to my video uninterrupted. But with this test, a persistent banner tied to the skipped ad stays visible in the player, keeping the advertiser in my line of sight longer than expected.

Why This Matters to Us For me, as a viewer, this new feature could mean that even my quick skips won’t completely erase the advertiser’s presence. It’s interesting to see how this could increase brand recall without me watching the full ads.

What’s curious is how this affects ad performance metrics, as impressions and engagements could extend beyond that initial skip, giving brands more value from the same ad space in Google’s ecosystem.

Why It’s Notable Traditionally, skipping an ad has meant saying goodbye to it as soon as I hit that button. However, this format shifts the dynamic by offering a second chance for exposure, even when I opt out of watching the full ad experience.

Impact for Advertisers This update means advertisers might enjoy extended brand visibility and recall. However, it could also change how I and other users perceive these ad interruptions, potentially affecting engagement metrics.

The Bottom Line If this sticky banner test becomes widely used, it could redefine what a ‘skipped’ ad means for me—transforming a skip into a more continued, low-friction exposure rather than a complete exit for advertisers on YouTube.

First Seen This update was first brought to my attention by Adsquire’s Founder & CEO, Anthony Higman, who shared his insights on LinkedIn.

Inspired by this post on Search Engine Land.

March 17, 2026
Why 80% of PMax Advertisers Are Embracing CTV Ads

As someone who watches the advertising landscape closely, I find it fascinating how quickly things have changed. It’s incredible to note that eight out of ten Performance Max advertisers are now receiving connected TV (CTV) impressions via YouTube. This shift, as highlighted by Mike Ryan from Smarter Ecommerce, shows how Google has significantly expanded the reach of this channel. The pace of change is continuing to accelerate.

Let me walk you through how we got to this point. In Q2 2025, Google began serving CTV ads using standard product feed images. This meant that even advertisers without video assets began generating TV impressions simply from their existing catalog photos. Then, in January 2026, Google announced shoppable CTV ads. Now, viewers can browse products and even purchase directly from their TV screens using QR codes that link to the Google Merchant Center product feeds.

As someone invested in digital advertising, I care a lot about these changes. CTV is no longer a niche investment. If you’re running Performance Max, chances are you’re already on the big screen, and Google has been ramping up what this means for commerce. They’re automatically turning your product feed images into TV ads and allocating your budget to CTV impressions without needing action on your part.

Without actively checking your channel performance breakdown, you could be unaware of where your budget is going or whether the auto-generated creatives are appealing enough for a 65-inch screen. Here’s what I recommend advertisers do right now:

Firstly, pull your Channel Performance report. Google’s native channel breakdown will give you a clear picture of how much of your PMax spend and impressions are directed toward CTV. You might be surprised by the findings.

Next, audit your feed images. Since Q2 2025, these product photos are being used automatically to create CTV ads. Images that worked well in a Shopping context might not translate perfectly to a 65-inch TV, so it’s essential to clean them up.

Furthermore, check if shoppable CTV applies to you. If your campaigns are linked to a Merchant Center feed, they might already qualify for shoppable CTV formats. Google reports that Demand Gen campaigns including TV screens have driven 7% more conversions while maintaining the same ROI. Understanding whether this inventory benefits you or is just wasted is vital.

Finally, consider the creative aspect. Using feed images as CTV ads should be seen as a starting point, not the end goal. Advertisers who develop purpose-built video assets specifically for TV screens will undoubtedly have an advantage over those who rely on auto-generated formats.

Looking at the bigger picture, YouTube CEO Neal Mohan recently confirmed that TV has now surpassed mobile as the primary device for YouTube viewing in the United States by watch time. YouTube continues to be the number one streaming platform in the U.S. for the second year in a row. Many PMax advertisers are already taking part in this large-scale shift. However, the real question is whether they’re doing so intentionally or just following the current trends blindly.

For those like me who want to dive deeper into this topic, I recommend checking out the article “YouTube Viewing on TV Now Surpasses Mobile, Desktop in U.S.” for more insights.

Inspired by this post on Search Engine Land.

March 11, 2026
Boost Your AI Visibility with Engaging Social Content

I’ve been fascinated by the ways social platforms and content formats can enhance AI visibility. Recently, I’ve discovered how platforms like YouTube and Reddit, along with long-form content, significantly influence AI citations.
The synergy between social media and AI search visibility cannot be overstated. I find it remarkable how the right content type can amplify AI’s reach and impact. Platforms such as YouTube and Reddit are at the forefront, leading the charge with extensive citations attributed to their diverse and dynamic content formats.

Inspired by this post on HiGoodie Blog.

March 5, 2026
Google Unveils Non-Skip VRC Ads for Global YouTube Reach

I’ve recently discovered some thrilling news from Google — they’ve globally launched VRC Non-Skip ads, a fantastic way for advertisers to achieve AI-optimized, non-skippable reach on YouTube’s connected TV screens. This development is truly exciting!

Google is broadening its horizons with VRC Non-Skip ads, enabling brands to effectively connect with TV audiences on YouTube. As someone passionate about advertising strategies, I’m keen to explore how brands can leverage this opportunity.

What’s happening? VRC (Video Reach Campaign) Non-Skip ads are now accessible globally through Google Ads and Display & Video 360. Crafted specifically for the living room experience, these ads ensure seamless, non-skippable placements designed for connected TV (CTV) screens.

Why we care. Considering that YouTube has been the top streaming platform in the U.S. for three years straight, the TV screen is now a pivotal arena for brand investments. With non-skippable ad delivery, advertisers can make certain their complete message is absorbed in a premium, laid-back viewing environment.

AI in the mix. Google AI is here to dynamically optimize across various formats such as 6-second bumper ads, 15-second standard spots, and 30-second CTV-exclusive non-skippable formats. Instead of manually adjusting budgets per format, I’m finding it fascinating that brands can trust AI to allocate impressions optimally for maximum reach and efficiency.

The bottom line. For advertisers like myself seeking guaranteed full-message delivery on the largest screen in the home, AI now offers a simplified path. Utilizing AI-driven solutions ensures maximum reach and efficiency across non-skippable formats without the hassle of manual management.

Inspired by this post on Search Engine Land.

March 3, 2026
GMC Enhances Video Visibility with Auto-Populated Content

I’ve noticed a shift in Google Merchant Center that makes video a key player in retail ad strategies. The once-empty Video Assets section is now abuzz with automatically sourced content.

Initially showcased at Google Marketing Live 2025, this feature is designed to centralize our video content within Google Merchant Center. Although the rollout started in September, many of us saw only a blank screen.

That’s no longer the case—videos are now seamlessly imported, including those from YouTube.

Why is this important to me? Google’s commitment to making Merchant Center a hub for creative commerce shows through this update. With videos auto-populating, our brands can enhance visibility across Shopping and Performance Max with less effort, though it means I must ensure my YouTube and website videos are commerce-ready.

In essence, video is becoming essential in retail ad delivery, and by staying proactive, I can gain a competitive advantage.

Reading the details, Google aims to centralize videos from various platforms including potential AI-generated sources, transitioning Merchant Center into a comprehensive creative hub rather than just a product feed manager.

This trajectory aligns with the larger movement towards video-first shopping experiences in campaigns like Search, Shopping, and Performance Max.

What I should monitor. I still have questions about how performance reporting and optimization controls in the Video Assets section will develop. However, the transition from an empty placeholder to a populated library illustrates that the infrastructure is now live.

Breaking news. This update was initially reported by PPC News Feed founder Hana Kobzová.

Inspired by this post on Search Engine Land.

February 24, 2026

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