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Top domains cited in ai-generated search answers and what it means for SEO. * Clara Castrillon - SEO/GEO Expert * March 31, 2026 Home - blog - SEO - top domains cited in ai-generated search answers and what it means for SEO. Explore the leading domains cited in AI-generated answers from ChatGPT, Google AI, and others, and learn strategies for brands to gain visibility through trusted external platforms. Understanding which domains are most commonly cited in AI-generated search answers is crucial for brands aiming to optimize their visibility in automated search environments. This article analyzes the top sources used by AI models like ChatGPT, Google AI Mode, and others, and provides insights into improving SEO outcomes through external authority. Overview of ai-generated search citations. Recent analysis covering over 30 million sources reveals a consistent pattern in the domains that AI search assistants cite when generating responses. Key players such as Reddit, YouTube, Wikipedia, and LinkedIn dominate citations across multiple AI platforms including ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews. Why these domains lead citation rankings. The prevalence of these domains is largely driven by their perceived authority and the authenticity of user-generated content they provide. For example, Reddit's position as the top cited domain stems from its wealth of real user discussions that AI models utilize to produce nuanced responses. YouTube's dominance aligns with the accessibility of video transcripts and descriptions, which enrich AI-generated content with multimedia insights. Wikipedia serves both as a live, curated source and as a significant part of AI training datasets. Domain preferences by AI models. Different AI systems exhibit distinct preferences for citation sources, reflecting their data training and algorithmic focuses: "ChatGPT tends to favor editorial and community-driven platforms like Wikipedia, Reddit, and Forbes, which provide diverse perspectives and vetted information," explains Dr. Maria Chen, an AI research analyst. In contrast, Google AI Mode leans toward brand-controlled and review-oriented platforms such as Facebook and Yelp, emphasizing business listings and consumer feedback. Perplexity, aimed at B2B queries, largely cites professional networks like LinkedIn and review sites like G2. Implications for brands and SEO. These citation patterns indicate that merely optimizing a company's own website is insufficient for dominance in AI-driven search environments. Brands must also build credibility and presence on highly trusted third-party platforms. Such external validation increases the likelihood that AI models will cite their information, thereby enhancing visibility. Presence on authoritative domains can also improve natural backlink profiles and generate user engagement signals valued by both AI models and traditional search engine algorithms. Stay Ahead with AI-Powered Marketing Insights Get weekly updates on how to leverage AI and automation to scale your campaigns, cut costs, and maximize ROI. No fluff - only actionable strategies. How to improve AI search visibility through trusted third-party platforms. Brands seeking to maximize their AI search footprint should consider a multi-channel approach focusing on authentic engagement across key platforms: Leverage community platforms like Reddit. Participating and contributing to discussions within relevant subreddits can position a brand as an authoritative and authentic voice. Well-moderated AMA (Ask Me Anything) sessions, industry insights, and helpful responses build trust with users and AI models alike. Create video content for YouTube. Given YouTube's substantial citation advantage, producing informative videos with detailed descriptions and accessible transcripts can significantly increase chances of being used as reference material by AI assistants. Maintain detailed and updated profiles on LinkedIn and review sites. Having comprehensive company information, client testimonials, and thought leadership articles on LinkedIn and review platforms like G2 and Yelp enhance a brand's trustworthiness and data richness, two factors heavily weighted by AI in citation decisions. Adsroid - An AI agent that understands your campaigns Save up to 5-10 hours per week by turning complex ad data into clear answers and decisions. Additional insights from citation data. The analysis also highlighted other trends influencing AI source citations: AI citations often favor listicles, product pages, and in-depth articles that provide structured and comprehensive information. Moreover, 44% of cited content typically originates from the most prominent sections of a web page, indicating the importance of front-loading relevant information. "Our data shows that strategic content placement and building authority beyond one's own domain are pivotal for success in evolving AI-powered search landscapes," states Jenna Lowe, SEO strategist specializing in AI search optimization. Interestingly, Google's proprietary AI Mode cites Google-controlled domains more frequently than competitors, demonstrating an inclination to prioritize own-properties in search results. Conclusion. The evolving AI search paradigm underscores the significance of external authority and authentic user contribution in determining what sources AI models cite. For brands, this means extending SEO strategies beyond traditional on-site optimization to cultivating robust presences on trusted third-party platforms such as Reddit, YouTube, LinkedIn, and review sites. Recognizing and adapting to these AI citation dynamics can provide a competitive edge in positioning brand content as a preferred source in AI-generated answers, ultimately driving higher visibility and engagement in search environments increasingly powered by artificial intelligence. Share the post Clara Castrillon - SEO/GEO Expert With over 7 years of experience in SEO, she specializes in building forward-thinking search strategies at the intersection of data, automation, and innovation. Her expertise goes beyond traditional SEO: she closely follows (and experiments with) the latest shifts in search, from AI-driven ranking systems and generative search to programmatic content and automation workflows. Table of contents. Get your ads AI agent for free. 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The future of app discovery: what marketers need to know about AI, Reddit, and the App Store. What's inside? Yodel Mobile Ltd. recently took part in a webinar with AppTweak and Reddit exploring the future of app discovery and the evolving age of AI. The session brought together perspectives from across the ecosystem, with Igor Blinov, AI Innovation & ASO Director, Yodel Mobile, joining Ryan Angerami, Global Head of App Developer, Reddit and Simon Thillay, Head of ASO Strategy & Market Insights, AppTweak, to unpack how platforms like ChatGPT and LLM-powered search are reshaping how users find and choose apps. What followed was a practical, candid discussion on what's actually changing, what remains true, and how app marketers can start adapting today. The future of app discovery is moving up stream. The most important shift is where intent is formed. Historically, intent started inside the App Store. Now, it increasingly begins outside of it. Users are turning to AI assistants to articulate what they need: * "What's the best budgeting app for students?" * "What running app should I use as a beginner?" * "What's the best dating app for serious relationships?" Instead of browsing categories or scrolling search results, users are asking for recommendations based on their specific context. This changes everything. That means visibility is no longer just about ranking for "budgeting app", it's about being relevant to the use case behind that search. AI discovery is not replacing ASO, it's expanding it. It's important to be clear, the App Store still matters. Users are still landing on your product page. Conversion still happens there. ASO is still a critical lever. But AI has introduced a new discovery layer. Instead of: Search > App Store > Download Yodel Mobile Ltd. is now seeing: Intent > AI > Recommendation > App Store > Download This has two key implications: * ASO metrics are no longer the only signals of discovery * Positioning and context now influence visibility upstream AI does not simply replicate App Store rankings. It builds what was described in the session as a "defensible answer", based on multiple sources and perspectives, not just popularity. Reddit and community signals are shaping recommendations. One of the most important sources influencing AI outputs today is community discussion. Reddit, in particular, is heavily cited by AI models when generating recommendations. Because it reflects: * Real user experiences * Nuanced use cases * Differing opinions and debates For example, a search for "best running app" might return well-known platforms like Strava. But when context is added, "best app for beginner runners", community discussions surface entirely different recommendations. Smaller apps can win here. Not because they have the biggest budgets, but because they are the best fit for a specific problem. This is a critical shift away from pure popularity. Visibility is now probabilistic, not positional. Another key takeaway is how AI presents results. In traditional search and ASO, ranking is everything. Position 1 vs position 5 has a clear impact. With AI, the dynamic is different. You either appear in the recommendation set, or you don't. There is less emphasis on strict ranking, and more on: * Relevance to the user's intent * Consistency of your positioning * Breadth of your contextual coverage This creates a new competitive dynamic. What actually influences AI recommendations? While the space is still evolving, several signals are already emerging as important: 1. Intent coverage. Apps that clearly articulate: * What problem they solve * Who they solve it for * In what context ...are more likely to be surfaced. 2. Semantic depth. It's not enough to say "budgeting app". * Student budgeting * Monthly planning * Expense tracking * Financial goals This broader semantic coverage helps AI understand where your app fits. 3. Cross-channel consistency. AI models are trained across multiple sources. That means your positioning needs to be aligned across: * App Store listings * Website content * Social channels * Community discussions Consistency builds credibility. 4. Real conversation and credibility. AI prioritises sources that demonstrate: * Authentic discussion * Multiple viewpoints * Evidence and reasoning This is why community platforms like Reddit are so influential. 5. Brand signals (indirectly). Traditional metrics still matter, but indirectly. Downloads, reviews, and brand awareness contribute to: * Visibility across the web * Volume of discussion * Overall credibility But they are no longer the sole drivers. The App Store still plays a critical role. Despite all of this, the App Store remains the point of conversion. Users still validate recommendations there. That means: * Your messaging must align with AI-driven expectations * Your listing must reinforce the problem-solution fit * Your conversion experience must deliver on the promise There is also early evidence that App Store metadata can influence AI visibility. In one example shared during the webinar, updating long-form descriptions to better reflect user intent and semantic coverage led to increased traffic from AI-driven sources. This suggests ASO is evolving, not diminishing. What should app marketers do now? While the space is still developing, there are clear actions brands can take today. Test prompts across different AI platforms. * Which apps are recommended * Which sources are cited * How answers are structured You cannot optimise what you don't understand. 2. Reframe your positioning around problems. Move beyond feature-led messaging. * The user problem * The context of use * The outcome delivered 3. Align your ecosystem. Ensure consistency across: * App Store AI is connecting these dots. 4. Engage with communities. Understand where your audience is talking. Listen first, then contribute: * Address feedback * Provide value * Be authentic This is not about promotion, it's about participation. 5. Start testing and learning. There is no fixed playbook yet. Early movers will benefit from: * Building internal knowledge * Testing frameworks * Identifying patterns The opportunity ahead. AI-driven discovery is still evolving, but the direction is clear. As discussed by Igor, Ryan and Simon, success in this new landscape will come from understanding intent more deeply, building credibility across channels, and aligning your entire digital presence around the problems your app solves. For app marketers, this is not a future consideration, it's already happening, and the opportunity now is to get ahead of it. If you're looking to understand how your app is showing up across AI platforms and where the opportunities lie, get in touch with its team. Alexandra stamp. Liked the article? Share it on. Mobile Marketing News, Straight to Your Inbox

Growing down: how Major League Baseball is looking to capture younger audiences this season. Coming out of the 2025 World Series, MLB has some serious momentum with new and younger baseball fans, which it plans to keep going with a robust media and content strategy. March 26, 2026 Spring has sprung, and so has the 2026 Major League Baseball season. For fans, watching this year's opening game was a little different than usual. MLB has been shifting away from regional sports networks and toward modern media rights deals, a change that was on full display last night when Netflix exclusively aired the "Opening Night" matchup between the New York Yankees and the San Francisco Giants as part of a new three-year deal between the league and the streamer. While the typical slate of Opening Day games airs today as usual, the nontraditional season kickoff on Netflix is indicative of a broader strategic shift that's underway at MLB. The league is placing increasing emphasis on new-media platforms as it, like many sports organizations, seeks to hook and retain the next generation of fans. That focus has extended beyond streaming services and into the tech and content space, where MLB inked and re-upped a number of deals focused on social and creators to support getting games and athletes in front of new eyeballs. "The World Series was the perfect embodiment of the whole season last year, where we just saw growth in our viewership on national media broadcasts, ticket sales, all that," Alex Cadicamo, the league's VP of media business development and strategy, told Marketing Brew. "The ability, particularly on social, to create these viral moments that reached beyond our typical audience, that's something that, coming out of the season, we had a lot of conversations about." The game plan. Ahead of this season, MLB expanded its multiyear relationship with Adobe, which will allow it to use AI to create fan experiences across channels and leverage Adobe's LLM brand visibility tool to boost content. The league also recently inked a deal with Polymarket, making it the league's "official prediction market exchange." On social, MLB has relationships with platforms like Reddit, Meta, and X, and last month the league announced the expansion of its multiyear deal with TikTok as part of an effort to "meet fans where they are," Cameron Gidari, VP of social media and innovation, told us from the league's New York City headquarters. Baseball content has been growing on TikTok, with the number of posts on the platform using #MLB up almost 60% from 2024 to 2025. The league has almost 11 million followers across its global TikTok accounts, and views grew considerably in Japan and Korea during the World Series, according to MLB and TikTok. The league's success on new-age platforms might come as a surprise when considering that MLB is one of the oldest sports leagues in the country, predating the NFL, NBA, and NHL. But according to Kat Marquez, global sports partnerships lead at TikTok, its social team, at least, stays ahead of the curve. "MLB is one of our most innovative partners, and they have always been at the cutting edge of driving innovation," she said. "They were some of the earliest adopters of trends, they have unfettered player access, which is so crucial to building some of the personalities of these athletes, and so they have always been positioned to win." MLB is also making moves elsewhere in the media ecosystem. Midway through last season, the league announced a strategic partnership and an ownership stake in Jomboy Media, a sports platform focused largely on baseball content like podcasts, newsletters, and social posts. Jomboy Media CEO Courtney Hirsch said purchasing a stake in the company indicated an understanding that new avenues like creator-driven content could help the league reach new fans. "They are doing an amazing job pulling in the younger generation of baseball fans," she said. "This is a way to double down on that momentum, because they know that working with creators [and having] distribution on social is how they're going to continue to pull in the younger viewers." The players. This season, the league is poised to focus on developing its own players as creators, while also leveraging its deep content archive from seasons past to appeal to both longtime and modern fans. Get marketing news you'll actually want to read. During spring training, TikTok set up a lounge at the MLB Player House in Arizona, where TikTok creator Adam Botkin shared tips on making content with players, Marquez said. Chicago Cubs third baseman Alex Bregman started an account during that time, and Arizona Diamondbacks shortstop Geraldo Perdomo went live from the Player House, she added. While player content can satisfy some fans, there's a big enough appetite for sports content that MLB is providing certain creators with access to current and archival footage through its TikTok and Jomboy Media deals. To attract new fans, nonathlete creators are an important avenue, since they're often knowledgeable about the game while also having the perspective necessary to make content that's "accessible and relatable for someone that has no idea what baseball is," Hirsch said. It might sound counterintuitive, but sometimes too much athlete content can turn fans away, she told us. "When we integrate athletes into our content, we don't see a spike in views or performance," she said. "We actually sometimes see the opposite, because our community is tuning in for our opinions, the creator voice that they've loved and trusted, and they want more of that." During the 2025 postseason, Jomboy Media's first as an official MLB partner, Jomboy Media saw more than 2 billion views across platforms and a 76% YoY increase in social views, according to Hirsch. During this month's World Baseball Classic, the company had 32 million engagements and 933 million views across platforms. Creator content is also important to league sponsors, she said. Corona, an official MLB sponsor, partnered with Jomboy Media's Talkin' Yanks podcast as part of its first campaign of the season, which also featured players like Los Angeles Dodgers star Mookie Betts. Throwback. As MLB leans into creators and new media, its social team is simultaneously making a play based on nostalgia, a proven and popular marketing tactic. In addition to giving its content partners access to the archives, the league is using them on its own channels, Gidari said. The MLB Vault channel on YouTube, which highlights memorable moments in league history, has around 205,000 subscribers, and classic MLB games on the league's FAST channels are high performers, Cadicamo said. "We think about the legacy of the sport, of the history of sport, as an advantage, not a hindrance, with the younger audience," Gidari said. "There's a lot of appetite for vintage." At the same time, there's plenty of room to tap into modern cultural moments, which Gidari's team was already doing last season. He sees food and music as particularly ripe spaces for baseball to tie up with, given the sport's reputation for interesting ballpark eats and walk-up songs. There's also an opportunity for MLB to make use of IP owned by media partners like Netflix, Cadicamo said, and not just the most popular shows and movies. Content targeting "niche spaces" like comic book, horror, and anime fandoms has performed well in the past, Gidari told us, and can serve as yet another way to expand the league's reach. "The more that people see baseball in the feed, the better it is for us," Gidari said. His ultimate goal for the season, he later added, is to continue to "build on the momentum" from last year. "We had almost 18 billion video views across all of social last year," he said. "We want to beat that number this year, and we want to beat it aggressively." Alyssa is a senior reporter for Marketing Brew who's covered sports for three years, with a particular interest in brand investment in women's sports.