In the News: September 8, 2026
This week’s stories highlight a digital landscape that is becoming increasingly shaped by AI, automation, and evolving definitions of visibility. As platforms expand AI-powered capabilities, marketers are gaining new ways to measure performance while also adapting to systems that have greater influence over search results, advertising decisions, and content discovery. At the same time, rapid shifts in AI-driven visibility demonstrate the importance of building authority across multiple channels rather than relying on any single platform. Amid this push toward automation, growing interest in authentic, human-centered content suggests that trust, expertise, and genuine connection remain valuable differentiators.
Click or tap on a story below to learn more.
Google Rolls Out AI Search Reporting and AI Visibility Controls to Everyone
Google has completed the global rollout of AI Performance Reports and AI visibility controls within Search Console. Website owners can now see how their content performs across AI-powered search experiences, including AI Overviews and AI Mode, with reporting that includes impressions, pages, devices, countries, and date-based performance data. Google has also introduced controls that allow publishers to prevent their content from being used in AI-generated search experiences without impacting their visibility in traditional search results.
This update marks a major milestone in the evolution of search measurements. For the first time, marketers have dedicated tools to understand how their content appears within AI-generated answers, providing visibility into a growing area of search that previously lacked clear reporting and attribution.
What This Means Right Now
Google has officially entered the AI measurement era. Historically, search performance has been evaluated through rankings, clicks, and traffic. Now, marketers can begin measuring how often their content is surfaced, cited, and referenced within AI-generated search experiences. This shift expands the definition of search visibility beyond traditional blue links and positions AI inclusion as an important performance metric.
At the same time, Google’s new visibility controls acknowledge the growing debate around how publishers’ content is used within AI-powered experiences. By giving content owners the ability to opt out of AI search features without sacrificing traditional rankings, Google is providing more flexibility as the relationship between publishers and AI-powered search continues to evolve.
How to Put This to Work
1.) Add AI visibility to your reporting strategy
Monitor AI Performance Reports alongside traditional SEO metrics to understand how your content is appearing in AI-generated experiences.
2.) Optimize for AI inclusion, not just rankings
Focus on creating clear, authoritative, and well-structured content that AI systems can easily interpret, summarize, and cite.
3.) Evaluate your AI visibility preferences
Review Google’s new controls and determine how you want your content to participate in AI-powered search experiences.
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OpenAI Adds New Features to ChatGPT Ads
OpenAI has introduced new capabilities for ChatGPT Ads, including automated bidding, platform-level targeting, and view-through conversion reporting. Advertisers can now use a new “Maximize Results” bidding strategy that automatically adjusts bids based on campaign objectives, helping optimize performance without requiring constant manual adjustments. The platform also allows advertisers to choose where ads appear across web, iOS, and Android experiences, providing greater control over audience reach and distribution. In addition, new view-through conversion reporting helps marketers understand how ad exposure influences conversions, even when users don’t immediately click on an ad.
These updates represent another significant step in the evolution of ChatGPT Ads, bringing the platform closer to the capabilities marketers have come to expect from more established advertising ecosystems. By adding optimization, targeting, and attribution tools, OpenAI is making it easier for advertisers to measure performance and scale campaigns more effectively.
What This Means Right Now
ChatGPT Ads is evolving. Features like automated bidding, conversion optimization, attribution reporting, and platform targeting have long been staples of platforms such as Google Ads and Meta Ads. Their arrival within ChatGPT signals OpenAI’s intention to compete more directly for advertising budgets and become a larger part of the digital marketing landscape.
As AI-powered platforms continue attracting users and influencing discovery, advertisers may increasingly view ChatGPT not simply as a place to test new campaigns, but as a legitimate channel for awareness, consideration, and conversion. The ability to automate optimization while measuring both direct and indirect impact gives marketers more confidence in evaluating campaign performance and scaling investment.
How to Put This to Work
1.) Test AI-powered advertising early
Evaluate how ChatGPT Ads fits within your existing media mix and identify opportunities to reach audiences in high-intent conversational environments.
2.) Leverage automation for efficiency
Use automated bidding strategies to optimize campaign performance while reducing the need for manual bid management.
3.) Expand how you measure performance
Incorporate view-through conversions and attribution insights to better understand the full impact of your advertising efforts beyond clicks.
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Study: Reddit's Visibility in ChatGPT Answers is Disappearing
New research from PromptWatch found that Reddit’s share of citations in ChatGPT responses dropped sharply in August, falling from approximately 3.8% of citations to just 0.5% following changes to how ChatGPT retrieves and prioritizes information from the web. Researchers believe the shift may be tied to a greater emphasis on targeted, authoritative sources rather than broad discussion forums when generating answers. The findings suggest that while community-driven content remains valuable, AI systems are continuing to refine how they evaluate and select sources for inclusion in responses.
This apparent change highlights how quickly visibility can shift within AI-powered discovery platforms. Unlike traditional search rankings, which often change gradually, citation patterns in AI-generated answers can evolve rapidly as models, retrieval systems, and source-selection methodologies are updated.
What This Means Right Now
AI visibility is proving to be far more dynamic than traditional SEO. While Reddit has benefited from increased exposure in Google Search and AI-powered discovery platforms over the past year, this latest study’s findings demonstrate that no single source is guaranteed long-term prominence within AI-generated answers. As AI systems continue to refine how they evaluate information, factors such as authority, expertise, accuracy, and source quality may play a larger role than community popularity alone.
For brands and publishers, this reinforces an important lesson: building visibility across multiple trusted channels is likely to be more sustainable than relying on any one platform. As AI citation patterns continue to evolve, organizations that develop authority through original content, credible expertise, and diverse digital footprints may be better positioned to maintain visibility regardless of how individual platforms are weighted.
How to Put This to Work
1.) Diversify your AI visibility strategy
Avoid relying on a single platform for discoverability and focus on building authority across websites, publications, communities, and industry resources.
2.) Invest in authoritative content
Create original, high-quality content that demonstrates expertise and can serve as a trusted source for AI systems.
3.) Monitor AI citation trends
Track how your brand and key industry sources appear across AI platforms to better understand evolving visibility opportunities.
Sources:
- https://www.forbes.com/sites/gabrielalinzainescu/2026/08/20/reddit-nearly-vanishes-from-chatgpt-citations-after-openai-search-change/
- https://promptwatch.com/data/reddit-citations-are-dropping-in-chatgpt
- https://gizmodo.com/openai-is-backing-away-from-reddit-as-reddit-tries-to-become-openai-2000800060
Vine-Inspired App “Divine” Launches with an Authenticity-First Approach
A new video-sharing app called Divine is bringing Vine content back into the spotlight, launching publicly with access to more than two million original Vine videos.
Many social media users may remember Vine, the six-second video platform that developed a loyal following before shutting down in 2017, while nostalgia for the platform and calls for its return have remained a recurring topic online.
Unlike many modern social platforms, Divine requires users to record videos live within the app, a design choice intended to reduce AI-generated content and place greater emphasis on real-time creativity, spontaneity, and authentic user expression. By limiting pre-produced and heavily edited content, the platform is positioning itself as a destination for genuine, in-the-moment interactions.
The launch reflects a growing interest in content experiences that feel more human and less manufactured. While many platforms are investing heavily in AI-powered creation tools, Divine is taking a different approach by building its identity around authenticity and real-time participation, betting that users still value genuine moments and personal creativity.
What This Means Right Now
As AI-generated content becomes more widespread, some platforms are moving in the opposite direction by prioritizing human-created content and real-world experiences. Divine’s launch highlights a growing demand for authenticity and suggests that not every platform sees AI as the future of content creation. Instead, there is emerging value in content that feels unscripted, spontaneous, and unmistakably human.
For marketers and creators, this trend reinforces an important shift: audiences increasingly want to connect with people, not just polished content. As AI-generated media becomes more common, authenticity itself may become a differentiator. Platforms that emphasize transparency, personality, and real experiences could attract users looking for more meaningful interactions in an increasingly automated digital environment.
How to Put This to Work
1.) Lean into authentic content creation
Share behind-the-scenes moments, real experiences, and unscripted content that helps audiences connect with the people behind your brand.
2.) Balance polish with personality
High-quality production still matters, but authenticity and relatability are becoming increasingly important engagement drivers.
3.) Focus on human connection
Create content that highlights expertise, personal stories, and real interactions to stand out in a world filled with AI-generated media.
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Reports: Meta Appears to be Removing Key Ad Features
Meta is reportedly removing the option for advertisers running sales and leads campaigns to exclude specific ad placements across its apps, which would give the platform’s automated systems greater control over where ads are delivered. If the change takes effect, it expands Meta’s ongoing push toward AI-driven campaign optimization, where machine learning plays a larger role in determining ad placement, distribution, and performance. As a result, advertisers will have fewer manual controls and increased reliance on Meta’s algorithms to identify the placements most likely to achieve campaign objectives.
This reported update reflects Meta’s strategy for simplifying campaign management through automation. Over the past several years, the company has steadily shifted advertisers toward Advantage+ and other AI-powered tools that automate audience targeting, bidding, creative optimization, and placement selection.
What This Means Right Now
Meta is continuing to move advertisers away from granular campaign controls and toward automated decision-making. As the platform assumes more responsibility for placement selection, marketers will have less direct influence over where ads appear and greater dependence on Meta’s machine learning systems to optimize results. This mirrors a larger trend across the advertising industry, where platforms are increasingly prioritizing automation, efficiency, and AI-driven performance over manual campaign management.
For advertisers, the challenge is shifting from managing every campaign detail to setting strategic guardrails and evaluating outcomes. Success may depend less on making individual placement decisions and more on providing strong creative assets, clear objectives, and effective measurement frameworks that allow AI systems to optimize performance.
How to Put This to Work
1.) Focus on strategic inputs, not manual controls
Ensure your campaign objectives, audience signals, and creative assets are strong, as these factors will have a greater influence on automated optimization.
2.) Monitor performance across placements
Pay close attention to reporting and results to understand how Meta’s automated delivery decisions are impacting campaign outcomes.
3.) Balance automation with oversight
Leverage AI-driven efficiencies while maintaining regular reviews for brand suitability, compliance requirements, and overall campaign effectiveness.
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