The digital ad market is shifting fast. In court, Google admitted the “open web is already in rapid decline,” contradicting its public claims, as AI Overviews erode publisher traffic. The Trade Desk’s stock plunged 12% after Netflix’s Amazon DSP deal, with Morgan Stanley citing CTV headwinds and higher fees. Meanwhile, Reddit is positioning itself as a publisher ally, rolling out Reddit Pro to help offset traffic losses from search. Together, these moves underscore a fractured open web ecosystem: Google under pressure, The Trade Desk undercut by Amazon, and Reddit stepping up as publishers seek new discovery sources.

Tariffs and inflation are reshaping retail, pushing shoppers toward value and convenience. Off-price chains gained ground, while housing-linked retailers sought new growth paths in a slowing market.

A federal court stopped short of ordering Google to divest Chrome, instead requiring it to end exclusive search contracts and share some index data with competitors. Judge Amit Mehta’s ruling allows Google to keep paying Apple for default placement but bans exclusivity that kept rivals sidelined. Alphabet shares rose 8% after hours, while Apple gained 4%. Google faces six years of oversight but avoids a structural breakup sought by the DOJ. The bigger challenge looms outside the courtroom: AI tools, Reddit, and TikTok are increasingly siphoning queries, while Google’s top-result clickthrough rates continue to slide.

On today’s podcast episode, we discuss what AI Overviews are doing to search behavior, some potential new business models for the internet, and how much “AI slop” might encourage folks to decrease their time on the web. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Grace Harmon, and the CEO and Founder of CMO Huddles, and host of the Renegade Marketers Unite podcast, Drew Neisser. Listen everywhere and watch on YouTube and Spotify.

The news: New data from Digital Content Next revealed that Google AI Overviews lead to as much as a 25% decrease in publisher referral traffic, reinforcing brands’ and publishers’ ongoing concerns over the tech’s adverse impact on content effectiveness. Our take: AI Overviews will continue usurping referral traffic from publishers, meaning that the brands who last will be those who adapt to the change rather than fight it. Brands must optimize for AI visibility, not just search rankings.

AI-fueled gains kept Google, Meta, and Amazon atop Q2’s ad market, but slowing engagement, murky ROI, and macro risks leave the triopoly’s future growth story more complex than the headlines suggest.

On today’s podcast episode, we discuss if Google is actually fending off the AI search competition, what its AI Overviews are doing to search behavior, and why growing AI search usage might not necessarily translate into a booming ad business. Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, and Principal Analyst, Yory Wurmser. Listen everywhere you find podcasts and watch on YouTube and Spotify.

The news: Reddit is positioning itself as a full-fledged search engine, with over 70 million weekly active users (WAUs) using its search functionality. As part of its strategy to house a full-fledged search engine within its website, the company is expanding its AI-powered conversational interface, Reddit Answers, and making it a central feature on the platform around the world. Reddit Answers has grown to 6 million WAUs from 1 million in December. Our take: If Reddit succeeds in becoming a self-sustaining search platform, it will become an even more valuable asset for marketers looking to target niche audiences and get in on the consumer purchase journey early. Advertisers should start identifying specific subreddits where their audience are already active, experiment with Reddit’s ad formats, and optimize content to surface in the platform’s search results.

Alphabet posted strong Q2 results, with Search ad revenue up 12% YoY and YouTube ad revenue climbing 13%. But analysts and advertisers are asking tougher questions as the company shifts toward AI-led formats like AI Overviews and Gemini. Google declined to provide clear data on ROI, clickthroughs, or user engagement, fueling concerns about monetization in a no-click world. Licensing costs for LLM training, brand safety, and competition from ChatGPT and Perplexity are all in focus. While YouTube continues to lead in streaming ad growth, the future of Google’s ad engine may hinge on transparency, AI accountability, and performance parity.

The trend: Consumers generally find that AI-generated responses to their online health queries are only somewhat reliable, according to a new survey from the Annenberg Public Policy Center (APPC) of the University of Pennsylvania. Our take: As Google’s AI gets smarter, healthcare and pharma websites will lose search traffic. Google is in a race with OpenAI and other tech players to make its AI more intelligent and improve users’ search experiences. Other consumers will conduct more health queries on platforms like ChatGPT. Brands and publishers must optimize content for AI rather than for search, but they should also be developing strategies to connect more with consumers on non-search channels such as social media and CTV.

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: Google is looking to sign licensing deals with more publishers, per Bloomberg, to improve its products and address the threat of dwindling AI training resources. It’s launching a pilot project to partner with about 20 national news outlets, which could help ease tensions between Big Tech players and the publishers that are demanding compensation for their content. Our take: Google’s increased effort to license more media content shows its gearing up for a future in which AI-generated summaries dominate search. As this shift occurs, brands will need to focus on generative engine optimization (GEO) to get their content into AI summaries, such as by including concise takeaways that LLMs can surface. Preparing for a world where more premium content is behind paywalls could also include deeper publisher partnerships.

The news: Google is experimenting with AI summaries in Discover—the news feed within its iOS and Android search apps—adding yet another threat to referral traffic for web publishers. Instead of displaying a headline and link to a news story, Discover shows an AI summary with an icon featuring the logo of any cited source. Our take: If users increasingly rely on AI summaries—and if Discover becomes a zero-click search hub—publishers risk further declines in web traffic, imperiling not just ad revenues but the viability of good journalism.

Direct-to-consumer (D2C) ecommerce is evolving, driven by Gen Z’s shopping habits and the rise of powerful AI tools.

The news: Google is launching Offerwall, a new Ad Manager tool that lets users unlock publisher content through ads, surveys, or payments—part of a broader effort to mend relationships with publishers facing traffic loss from AI Overviews and eroding ad share. Publishers say Google pays less than rivals like PubMatic and Magnite, and AI-driven zero-click searches have dropped site traffic significantly. Our take: With a DOJ remedies trial looming and ChatGPT traffic rising fast, Google’s publisher outreach isn’t just damage control—it’s existential. If AI is to remain useful and ethical, supporting the content it’s trained on is a must.

Google AI Overviews could face aggressive regulatory measures in UK: A CMA investigation adds to a slew of regulatory challenges that are chipping away at Google’s dominance in search and advertising.

The news: US adults are increasingly dependent on digital platforms for news, with social media and video overtaking traditional news outlets for the first time. 54% of US adults get their news from social media, per the Reuters Institute’s 2025 Digital News Report, compared with 50% from TV news and 48% from news websites and apps. Our take: Linear platforms could offer personalized news digests and mobile- and social- friendly content to reengage younger users, while advertisers should diversify their campaigns across social media platforms to follow fragmented user engagement.

The news: Adobe aims to help brands and publishers improve content placement in AI browsers, search tools, and chatbots with its new suite of AI tools—LLM Optimizer. What it does: LLM Optimizer tracks which content and offerings—such as website details, products, or articles—are being shown in AI interfaces and where they’re appearing. Our take: Adobe’s new tools, especially outcome metrics and actionable recommendations, can help marketers and brands craft tailored SEO for each platform—browsers, AI Overviews, and chatbots—and surface data-driven solutions to help improve their AI search presence.

As Google's search changes continue and consumers increasingly turn to alternative platforms, the SEO playbook defined by link building and keyword optimization is losing relevance.

Google’s AI Overviews lead to fewer clicks on healthcare search results: An industry that heavily relies on search must optimize for visibility in AI Overviews while closely monitoring how AI changes consumer search behaviors.