Social teams are rethinking YouTube as Shorts surges, both long-form and episodic content gain traction, and generative search reshapes discovery. But legacy silos and cost concerns still hold many back, even as audiences and creators are leaning in.

New data shows traditional SEO success no longer guarantees visibility inside generative AI answers. Ahrefs found that fewer than 9% of ChatGPT and Gemini citations come from URLs ranked in Google’s top 10 results—meaning more than 90% of high-ranking organic pages never appear in AI responses. Instead, LLMs lean heavily on community-driven sources like Reddit, YouTube, Wikipedia, Yelp, and TripAdvisor, dramatically reshaping early-stage discovery. With LLM usage exceeding one billion monthly users, brands that do not participate in open forums risk disappearing from AI-mediated journeys. Marketers must treat GEO as a distinct discipline, not an extension of SEO.

Generative AI tools increasingly rely on community-driven platforms—Reddit, YouTube, Wikipedia, Yelp, TripAdvisor, and more—as primary sources that feed directly into consumer-facing answers. Because AI does not distinguish between search content, social chatter, reviews, creator posts, or earned media, brand visibility now depends on cross-team coordination rather than siloed optimization. Upstream conversations matter: if forums, reviews, or public commentary lack clarity or depth, AI responses will mirror those gaps. And because users often begin with general queries—not shopping-specific ones—early influence happens long before product discovery. To stay visible, brands must unify search, social, PR, and content workflows.

As AI increasingly powers everything from holiday ads to product recommendations, retailers face a critical balancing act between efficiency and authenticity. "The question isn't if retailers will use AI, it's how they'll keep using it and maintain the human touch along the way," said host Suzy Davidkhanian on a recent episode of “Behind the Numbers.”

The news: Google’s AI Overviews feature gets users offline and out of search quickly, making it harder for brands and websites to capture attention and clicks. Only 8% of Google users whose search triggered an AI Overview clicked on a link, per Pew Research. Among those who didn’t see an AI summary, nearly twice as many (15%) clicked a link. Our take: Google’s AI tools offer fast answers, but they’re cutting off engagement before it can begin. For publishers, brands, and creators, that means fewer opportunities to connect, convert, or even be seen. Prioritize visibility on platforms favored by AI Overviews, like YouTube and Reddit, and strengthen owned channels like newsletters and apps to help boost appearance in results while reducing dependence on traffic from Google.

The news: Streaming and social media sites are the top beneficiaries of AI chatbot referral traffic. Out of 1.3 billion generative AI (genAI) search referrals in May, YouTube ranked first in traffic with nearly 40 million visits, per Similarweb. Our take: Focusing on what makes sites top the AI search results could help increase site visits. Expand knowledge-based articles, FAQs, and blog posts with educational and UGC content. Boost SEO with long-tail keywords that are likely to appear in prompts. Encourage inbound links since site authority is a factor in AI search results.

With AI scraping pushing its systems to the brink, Wikipedia now offers stripped-down data sets to help developers train models ethically.

With fresh data running out online, AI bots are swarming Wikimedia, creating costly bandwidth surges and risking future paywalls.

India urges reclassification of wikipedia: As officials question site's neutrality, it remains a critical part of global search ecosystem.

TikTok integrates Wikipedia snippets into search: A move towards broader search capabilities amidst rising competition with Google.