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In the News: May 11, 2026

AI is making search and discovery more conversational and intent-driven, while how people engage with each other is moving beyond the main feed. More of that interaction is happening in private, direct channels. That means visibility now depends on clarity and connection, not just reach. 

Is your marketing strategy keeping up? 

Click or tap on a story below to learn more. 

Google Tests “Ask YouTube” AI Search Experience

Google is testing a new “Ask YouTube” conversational search feature that uses AI to deliver written summaries, surface relevant videos with citations, and suggest follow-up questions, all within a chat-like interface. This marks a major shift in how users discover content on YouTube, moving from traditional keyword-based search to a more interactive, AI-guided exploration experience that provides faster answers and deeper context without requiring users to sift through multiple videos. 

The change signals YouTube’s evolution into an AI-powered discovery engine, where visibility is increasingly driven by how well content can be understood, summarized, and contextualized by AI, not just how well it is optimized for search. 

What This Means Right Now 

Video SEO is evolving beyond titles, tags, and thumbnails. Content that clearly communicates expertise, answers specific questions, and delivers structured, high-value information is more likely to be surfaced in AI-generated summaries. Creators and brands relying solely on traditional optimization tactics may see declining visibility as AI intermediates the discovery process. 

How to Put This to Work 

1.) Create AI-readable, structured content
Organize videos around clear topics, answer-driven segments, and logical flow so AI can easily extract and summarize key points. 

2.) Prioritize depth and authority
Content that demonstrates expertise and provides complete, trustworthy answers is more likely to be cited in AI-generated responses. 

3.) Optimize for questions, not just keywords
Align video content with real user questions and conversational queries to increase relevance in AI-driven discovery experiences. 

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      LinkedIn Expands Event Ads Beyond Its Platform

      LinkedIn is expanding its Event Ads to allow marketers to drive traffic to external landing pages, rather than keeping users within the platform. This shift gives brands greater flexibility in how they promote events, capture leads, and track conversions, making it easier to integrate LinkedIn campaigns into broader marketing funnels and existing data systems. 

      The update reflects LinkedIn’s move toward more performance-driven advertising, where marketers have greater control over the full user journey, from initial awareness to final registration, while creating a more seamless and branded experience outside of LinkedIn’s native environment. 

      What This Means Right Now 

      Event marketing on LinkedIn is becoming more conversion-focused and less platform-restricted. Marketers are no longer limited to LinkedIn forms, allowing for stronger attribution, better data ownership, and more tailored landing page experiences that align with specific campaign goals. 

      How to Put This to Work 

      1.) Drive traffic to optimized landing pages
      Use dedicated event pages designed for conversion, with clear messaging, strong CTAs, and minimal friction. 

      2.) Strengthen tracking and attribution
      Leverage your own analytics tools to better understand performance, optimize campaigns, and connect event registrations to downstream outcomes. 

      3.) Integrate events into your full funnel
      Align LinkedIn promotion with email, retargeting, and CRM workflows to create a cohesive journey from awareness to attendance and beyond. 

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      LinkedIn Expands AI-Powered Conversational Search

      LinkedIn is rolling out AI-powered conversational search to all users worldwide, shifting from traditional keyword-based queries to more natural, intent-driven prompts. This upgrade makes it easier to find highly specific audiences, uncover competitive insights, and surface relevant content, whether for prospecting niche segments, recruiting talent, or tracking real-time brand conversations. 

      The move reflects LinkedIn’s broader push toward AI-driven discovery, where content is understood and contextualized matters more than how it’s traditionally optimized. Search is becoming more dynamic, prioritizing meaning, intent, and relevance over exact-match keywords. 

      What This Means Right Now 

      Searching on LinkedIn is evolving into an AI-first experience. Profiles, posts, and company pages that clearly communicate expertise, context, and relevance will be more likely to appear in AI-generated results. Marketers who rely on basic keyword optimization alone may struggle to stay visible as conversational search becomes the norm. 

      How to Put This to Work 

      1.) Optimize for intent, not just keywords
      Structure profiles and content around real audience questions, use cases, and pain points to align with conversational queries. 

      2.) Strengthen contextual signals
      Use clear positioning, consistent messaging, and detailed descriptions to help AI better understand and surface your content. 

      3.) Align with AEO and GEO strategies
      Focus on creating content that is easily summarized, trusted, and relevant in AI-generated responses to improve visibility in conversational search results. 

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      X Launches XChat

      X is expanding into private communication with the launch of XChat, a standalone messaging app that includes direct messaging, file sharing, audio and video calls, and group chats. The move also signals the eventual phase-out of X Communities, reinforcing a broader shift across social platforms as engagement moves away from public feeds and into more private, real-time interactions. 

      This evolution aligns X with industry trends, as platforms like Instagram and Threads continue to invest heavily in messaging. Social media is increasingly becoming a hybrid of discovery and direct communication, where public content sparks interest, but deeper engagement happens in private channels. 

      What This Means Right Now 

      Social engagement is shifting from broadcast to conversation. Public feeds are becoming top-of-funnel discovery tools, while meaningful interactions, relationship-building, and influence are increasingly happening in DMs and chat environments. Brands that rely only on feed-based strategies may miss opportunities to connect more directly with their audience. 

      How to Put This to Work 

      1.) Design content for conversation 
      Create posts that encourage direct engagement, prompting users to reply, message, or continue the conversation privately. 

      2.) Build DM and chat strategies 
      Develop workflows for handling inquiries, nurturing leads, and building relationships through private messaging channels. 

      3.) Use feeds for discovery, not conversion alone 
      Shift expectations for public content toward awareness and interest, while guiding high-intent users into more personalized, private interactions. 

      Source: 

      Bing Surpasses 1B Users on AI Momentum

      Microsoft announced that Bing has surpassed 1 billion monthly active users, driven by deep AI integration across Edge, Windows, and Copilot. By embedding AI-powered search directly into everyday workflows, Bing is capturing more consistent engagement and shifting how users interact with search, moving from simple queries to more conversational, intent-rich inputs. 

      At the same time, new tools like AI Max for Search are helping translate that engagement into performance, enabling advertisers to better match ads to longer, more nuanced queries. This shift is contributing to a 12% year-over-year increase in search advertising revenue, reinforcing Bing’s growing role as an AI-powered channel for both discovery and conversion. 

      What This Means Right Now 

      Bing is no longer a secondary search channel. As AI reshapes how users search and engage, it’s becoming a more valuable platform for capturing high-intent demand. Marketers who overlook Bing risk missing audiences that are increasingly interacting with search through AI-assisted experiences embedded across Microsoft’s ecosystem. 

      How to Put This to Work 

      1.) Expand your search strategy beyond Google 
      Allocate budget and testing resources to Bing to tap into growing AI-driven search behavior and incremental reach. 

      2.) Optimize for conversational queries 
      Adapt campaigns to align with longer, intent-rich searches driven by AI, focusing on user intent rather than short keywords. 

      3.) Leverage AI-driven ad tools 
      Take advantage of features like AI Max for Search to improve targeting, relevance, and overall campaign performance. 

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