In the News: May 18, 2026
AI, search, and streaming platforms are all shifting toward more dynamic, intent-driven experiences where visibility is earned, not evenly distributed. From YouTube prioritizing high-performing thumbnails, to Google making links more interactive inside AI results, to Amazon and LinkedIn bringing precise targeting into streaming TV, one thing is clear: relevance, context, and real-time intent now drive what gets seen.
Is your marketing built for visibility in this new environment?
Click or tap on a story below to learn more.
YouTube Tests Variable Thumbnail Sizes for Better Viewing
YouTube is experimenting with variable thumbnail sizes that automatically adjust based on device, screen size, and viewing context. This shift introduces more flexible, personalized browsing, aimed at improving the overall mobile user experience.
The update reflects YouTube’s continued move toward a more dynamic discovery system, where visibility is no longer evenly distributed across all content. Instead, performance signals, audience alignment, and user behavior will increasingly influence how videos get discovered on the platform.
What This Means Right Now
Creators should monitor the platform regularly to see how their thumbnails, and others, may be impacted during testing. YouTube acknowledges that thumbnails may appear cropped as the experiment gets underway. If this test is a preview of what’s to come, videos that generate stronger engagement signals or closely match user intent may gain additional visual real estate. This means creators and brands can no longer rely on equal exposure within a standard grid and must focus more on relevance, performance, and visual impact to earn visibility.
How to Put This to Work
1.) Design thumbnails to stand out at any size
Create clean, high-contrast visuals that remain recognizable and compelling whether displayed large or small.
2.) Double down on engagement signals
Prioritize content that drives clicks, watch time, and interaction, as these signals may influence which videos get boosted visibility.
3.) Align content with audience intent
Focus on topics and formats that closely match what your audience is actively searching for or engaging with to increase your chances of being featured more prominently.
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Google Expands Links in AI Overviews with New Discovery Features
Google is enhancing links within its AI Overviews and AI Mode by introducing more suggested links for deeper exploration, hover previews for citations, and improved visibility for subscription-based content. These updates make it easier for users to validate information, explore related topics, and engage directly with sources, all without leaving the AI-driven search experience.
This shift signals Google’s continued evolution toward a more guided discovery model, where links are no longer static references, but dynamic elements designed to provide context, build trust, and extend the user journey within AI-generated results.
What This Means Right Now
Search visibility is becoming more dependent on how well content can be surfaced, cited, and explored within AI-generated experiences. As links become more interactive and context-driven, content that is authoritative, clearly structured, and easy for AI systems to reference will have a stronger chance of being highlighted. Brands relying solely on traditional SEO tactics may find it harder to stand out as AI takes a more active role in curating and presenting information.
How to Put This to Work
1.) Create content built for citation
Structure content with clear sections, supporting data, and concise answers that AI can easily reference and link to.
2.) Strengthen authority and trust signals
Focus on producing credible, well-sourced content that positions your brand as a reliable reference within AI-generated results.
3.) Optimize for exploration, not just clicks
Develop content ecosystems that encourage deeper engagement, making it easier for users (and AI) to navigate related topics and continue their discovery journey.
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Amazon + LinkedIn Bring B2B Targeting to Streaming TV
Amazon and LinkedIn have partnered to introduce LinkedIn’s professional targeting capabilities (job title, industry, and seniority) into streaming TV (CTV) advertising. This integration allows marketers to deliver video ads to highly specific decision-makers within premium streaming environments, combining LinkedIn’s precision targeting with Amazon’s expansive reach and high-impact ad formats.
The partnership marks a significant shift in how B2B audiences can be reached, blending performance-driven targeting with immersive, brand-building channels that were previously difficult to measure or segment effectively.
What This Means Right Now
The gap between highly targeted B2B ads and big, high-visibility brand campaigns is starting to close. Marketers can now reach the right decision-makers in more engaging, full-screen formats, making streaming TV a real option not just for awareness, but for driving measurable results. For brands that have leaned heavily on bottom-of-the-funnel tactics, this opens the door to connect with potential buyers earlier in the process through more compelling, story-driven content.
How to Put This to Work
1.) Expand into high-impact B2B video channels
Test CTV as part of your media mix to reach decision-makers in premium, less crowded environments.
2.) Align targeting with buying roles
Use LinkedIn’s data to focus campaigns on specific job functions, seniority levels, and industries that influence purchasing decisions.
3.) Balance storytelling with performance
Develop video creative that builds brand awareness while still aligning with measurable goals, bridging the gap between upper- and lower-funnel efforts.
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OpenAI Expands ChatGPT Into a Full-Funnel Ad Platform
OpenAI is introducing major monetization updates that move ChatGPT closer to a fully integrated advertising platform. New features include a self-serve Ads Manager, campaign creation tools, and improved measurement capabilities. At the same time, product feed ads allow retailers to plug in their catalogs and automatically generate ads using product names, images, and descriptions, eliminating much of the manual setup traditionally required. Together, these updates transform ChatGPT from a conversational tool into a scalable, performance-driven ad environment embedded directly within user interactions.
This evolution signals a broader shift toward AI-native advertising, where intent is captured and acted in real time within conversations, rather than relying on external search or social platforms to drive action.
What This Means Right Now
ChatGPT is quickly becoming a viable channel for both performance marketing and commerce. With lower barriers to entry, automated ad creation, and more advanced targeting and measurement, brands can now engage users at the exact moment of intent, within the conversation itself. This creates new opportunities to shorten the path from discovery to action, while challenging traditional digital ad channels that sit outside the conversational experience.
How to Put This to Work
1.) Test conversational ad placements early
Explore ChatGPT’s Ads Manager to understand how your audience engages within AI-driven environments and identify early performance opportunities.
2.) Leverage product feeds for scalability
Use catalog-based ads to automate creative production and quickly launch campaigns across a wide range of products.
3.) Align messaging with intent signals
Develop ad creative that feels native to the conversation and directly addresses user needs, increasing relevance and likelihood of conversion.
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Amazon Turns Streaming TV Into a Personalized Performance Channel
Amazon has introduced “Dynamic TV Creative,” a new ad format on Prime Video that personalizes video ads in real time using shopper data such as browsing behavior and location. These ads can dynamically adjust messaging, product details, and calls-to-action based on where a viewer is in the buying journey, bringing a new level of relevance and adaptability to streaming TV advertising.
This innovation reflects Amazon’s broader push to merge its deep commerce data with premium video environments, transforming streaming TV from a one-size-fits-all format into a more responsive, data-driven experience tailored to individual viewers.
What This Means Right Now
Streaming TV is no longer limited to static, top-of-funnel awareness. With real-time personalization, brands can now deliver more relevant messaging that adapts to user behavior and intent, effectively turning CTV into a full-funnel performance channel. This creates new opportunities to connect discovery, consideration, and conversion within a single, immersive experience, while raising expectations for relevance in video advertising.
How to Put This to Work
1.) Incorporate personalization into video strategy
Explore ways to tailor messaging, offers, and CTAs based on audience behavior and stage in the buying journey.
2.) Leverage first-party and commerce data
Use available customer insights to inform more relevant, dynamic creative that aligns with user intent.
3.) Test full-funnel video approaches
Shift beyond awareness-only campaigns by designing video ads that guide viewers from discovery through to action.
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