In the News: August 31, 2026
From AI watermarking and expanded Google Search Profiles to Reddit’s growing influence and ChatGPT citing smaller websites, one trend is becoming hard to ignore: visibility is increasingly being earned through trust, expertise, and authenticity.
Platforms are placing greater value on credible identities, helpful content, and real-world conversations, while Instagram’s latest video guidance reinforces the importance of creating content that captures attention and keeps audiences engaged.
The takeaway? As AMM has reported all year, being discoverable today is about becoming a trusted source wherever people search, scroll, and ask questions.
Click or tap on a story below to learn more.
YouTube Updates How Views Are Counted
YouTube has updated how it measures and displays views across certain video formats, refining its methodology to better reflect actual viewer engagement. The change is intended to align performance reporting with evolving content consumption habits and provide creators with a more consistent understanding of how audiences interact with videos across the platform. As viewing behaviors continue to shift across Shorts, mobile experiences, and traditional video formats, YouTube is adjusting its metrics to better capture meaningful engagement.
This update reflects trends across social and video platforms: performance measurement is continually evolving to keep pace with changing user behavior. As platforms refine how engagement is tracked and reported, creators and marketers need to look beyond surface-level metrics and focus on the indicators that most closely reflect audience’s interest and content effectiveness.
What This Means Right Now
View counts remain important, but they are no longer the only measure of success. As YouTube continues refining its reporting methodology, marketers and creators should place greater emphasis on metrics such as watch time, audience retention, engagement, and overall content impact. The update reinforces the idea that attracting a view is only the beginning. Long-term performance increasingly depends on a video’s ability to hold attention, drive interaction, and deliver value to viewers.
How to Put This to Work
1.) Focus on engagement beyond view counts
Evaluate content performance using watch time, audience retention, comments, shares, and other indicators of meaningful engagement.
2.) Prioritize content that keeps viewers watching
Create videos that maintain interest throughout the viewing experience rather than optimizing solely for initial clicks or views.
3.) Update performance reporting practices
Review your video analytics strategy to ensure you’re tracking the metrics that best reflect content effectiveness and audience impact.
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LinkedIn Says 1 Million Users Have Reported "AI Slop"
LinkedIn revealed that more than 1 million users have used its new “Seems Like AI Slop” reporting option within the first two weeks of launch. The feature is designed to help identify what LinkedIn describes as “low substance, low effort” content that may appear polished but lacks original insights, expertise, or meaningful perspective. Since introducing the reporting tool, LinkedIn says content categorized as AI slop has experienced 40% fewer views across the platform, signaling a clear effort to prioritize higher-quality professional content.
This move reflects LinkedIn’s commitment to maintaining the quality and value of conversations on its platform. Rather than targeting AI usage itself, LinkedIn is focusing on reducing the visibility of repetitive, generic content that fails to contribute meaningful expertise or insight to professional discussions.
What This Means Right Now
The conversation around AI content is shifting from how content is created to whether it’s worth consuming. LinkedIn has made it clear that the use of AI is not the problem; low-value content is. As AI continues to make content creation faster and easier, originality, expertise, and authentic perspectives are becoming increasingly important differentiators. Platforms are placing greater emphasis on quality over quantity, rewarding creators and brands that contribute unique insights rather than relying on generic, AI-assisted outputs.
For marketers and professionals, this reinforces a growing reality: audiences are looking for experience-driven content, thoughtful analysis, and real-world expertise. In an increasingly AI-saturated feed, the content that stands out will be the content that only a human can provide.
How to Put This to Work
1.) Lead with expertise and experience
Share firsthand observations, lessons learned, and unique perspectives that add value beyond easily generated content.
2.) Use AI to enhance, not replace, your voice
Leverage AI for efficiency and ideation, but ensure final content reflects your knowledge, opinions, and professional experience.
3.) Prioritize quality over volume
Focus on creating fewer, more valuable posts that contribute meaningful insights rather than publishing content simply to stay active.
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Instagram Says Captions Matter More Than You Think
Instagram is encouraging creators and brands to put more focus on captions, emphasizing their growing importance for both audience engagement and content discovery. According to the platform, captions help provide context, spark conversations, and improve Instagram’s understanding of what content is about, making them an increasingly important signal for search visibility and content recommendations. Instagram has also reiterated that common concerns around reach, including having a business account, editing posts after publishing, deleting posts, or scheduling content in advance do not negatively impact distribution.
This guidance reflects Instagram’s continued evolution from a visual-first platform into a discovery engine where text, context, and relevance play a larger role in how content is surfaced. As users increasingly search for information directly within social platforms, captions are becoming a critical way for both audiences and algorithms to understand and categorize content.
What This Means Right Now
Instagram is reinforcing that discoverability is no longer driven by visuals alone. As social platforms continue to function more like search engines, captions are becoming an important signal for both user engagement and algorithmic understanding. A strong caption can help explain content, reinforce key messages, and improve the likelihood of being surfaced in recommendations or search results. At the same time, Instagram is pushing back on long-standing myths about reach, emphasizing that content quality, relevance, and audience interest matter far more than account type or publishing tactics.
How to Put This to Work
1.) Write captions with discoverability in mind
Use clear language, relevant keywords, and meaningful context to help both users and Instagram understand what your content is about.
2.) Use captions to extend the story
Go beyond describing the post and add insights, takeaways, questions, or additional value that encourages engagement.
3.) Focus on content quality over platform myths
Prioritize creating relevant, valuable content rather than worrying about factors such as scheduling posts, editing captions, or account type.
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New X Algorithm Insights Reveal What Drives Reach
A recent analysis of X’s algorithm suggests that shares are among the platform’s most powerful engagement signals, carrying significantly more weight than likes. Based on reporting tied to X’s source code disclosures, actions such as reposting, quote-posting, replying, sending posts through direct messages, and sharing links externally appear to have a greater influence on content distribution than passive engagement alone. These findings provide a clearer understanding of how X determines which content deserves reach across the platform.
The insights reflect an evolution in social media algorithms, where platforms are increasingly focused on identifying content that users actively recommend to others. Rather than simply measuring reactions, X appears to be prioritizing behaviors that signal genuine interest, relevance, and value.
What This Means Right Now
X is increasingly rewarding content that people choose to share, discuss, and distribute. This mirrors a larger trend across social platforms, where engagement quality is becoming more important than engagement volume. While likes remain a useful signal, actions that require more effort, such as reposts, replies, quote posts, and direct sharing, indicate stronger audience interest and are therefore more likely to influence reach. As algorithms continue to evolve, content that sparks conversation and prompts users to share it with others may outperform content that generates passive reactions alone.
How to Put This to Work
1.) Create content worth sharing
Focus on insights, opinions, data, and takeaways that audiences will want to repost, quote, or send to others.
2.) Encourage conversation and discussion
Ask thoughtful questions, share unique perspectives, and publish content that invites replies and engagement.
3.) Measure engagement quality, not just volume
Look beyond likes and track reposts, quote posts, comments, and shares to better understand what content is truly resonating.
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CreatorIQ Study Reveals Major Shifts in the Creator Economy
A new CreatorIQ study of more than 5,000 creators across 100 countries found that AI has become a mainstream part of creator workflows, with 72% of creators using AI tools for tasks such as brainstorming, scripting, research, and administrative work. The report also found that while TikTok remains a leading platform for branded content opportunities, top-earning creators are twice as likely to prioritize Instagram for long-term business growth and partnership development. Additionally, many creators reported growing tension between maintaining audience trust and meeting increasingly restrictive brand requirements, while a rising number are launching their own products, services, and businesses.
These findings highlight how the creator economy is evolving beyond content creation alone. Creators are increasingly operating as entrepreneurs, media brands, and business owners, using AI to improve efficiency while expanding their revenue streams and strengthening direct relationships with their audiences.
What This Means Right Now
The creator economy is entering a more mature phase. AI is quickly becoming a standard productivity tool, helping creators streamline workflows and scale content production. At the same time, audience trust remains a creator’s most valuable asset. As sponsorships become more sophisticated and creators launch their own businesses, authenticity and credibility are becoming essential for long-term success.
The report also suggests that marketers should think beyond short-term campaign performance and focus on building long-term creator relationships, particularly on platforms like Instagram and YouTube where creators see the greatest opportunity for sustainable growth. As creators increasingly become businesses themselves, brand partnerships are evolving from transactional sponsorships into more strategic collaborations.
How to Put This to Work
1.) Invest in long-term creator partnerships
Focus on building ongoing relationships with creators rather than relying solely on one-off campaigns to generate awareness.
2.) Prioritize authenticity and audience trust
Partner with creators whose audiences align with your brand and who have built credibility through consistent, value-driven content.
3.) View creators as business partners
Recognize that many creators are developing their own brands and products, creating opportunities for deeper collaborations and co-marketing initiatives.
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