I’ve been following this evolving digital landscape closely, and it seems that many news publishers, like myself, are bracing for significant changes in the next few years. A new report from Reuters Institute suggests that we could witness a staggering 43% decline in search traffic by 2029. This shift comes as AI technologies are increasingly dominating search results.
What concerns me the most is how Google’s AI Overviews and chat experiences are accelerating this trend. We’re seeing traffic losses mount as these technologies make information readily available without users needing to click through to our sites.
Understanding the Impact. As a publisher, the expectation is that search referrals will drastically reduce. More than 40% of our search traffic may dwindle, with some experts predicting losses exceeding 75% for certain sites.
Why it Matters. The shift in user behavior is reshaping our strategies. Our traditional SEO efforts might not hold up against the rise of AI-driven content presentation, making it crucial for us to pivot towards answer engine optimization (AEO) and generative engine optimization (GEO).
The Current Scenario. Already, Google referrals are slipping. According to Chartbeat data, global organic traffic from Google declined by 33% between November 2024 and November 2025, with even steeper drops in the U.S.
Looking Ahead. It’s clear from industry conversations that AEO and GEO are not just buzzwords—they are the future. As publishers, we need to adapt quickly by restructuring our content and strategies around these AI interfaces to maintain visibility.
Between the Lines. This shift is about more than just rankings; it’s about controlling content distribution on platforms beyond our purview. Chat referrals, for instance, are incrementally increasing, but as of now, they are negligible compared to the volume Google offers.
Adapting to Change. We’re urged to consider licensing, revenue-sharing, and negotiated prominence for long-term benefits as the reliability of traditional referrals wanes.
Future Metrics. As content creators, we need to redefine success metrics. Share of answer, citation visibility, and brand recall are becoming as critical as click-throughs in evaluating impact.
The Bottom Line. The takeaway for us is clear: while search retains its importance, its metrics of success will change. AI, AEO, and GEO strategies are setting the stage for a new digital frontier.
I’ve recently learned that Google carefully analyzes user engagement to determine when to feature AI Overviews in search results. According to Google VP Robby Stein, these features are only shown if they truly add value for us, the users.
Stein shared in a CNN interview that Google’s approach to AI-driven results is evolving as they expand ads, personalization, and visual search options within their services.
Engagement drives AI Overviews. Google conducts tests with AI Overviews for different types of queries, retaining them only when we, the users, find them beneficial. If we don’t interact with these features, they are removed, and Google applies the insights to similar queries.
Stein explained, “The system will learn — so it’ll try it — and then see if people engage with it for certain kinds of questions… If it doesn’t work, it won’t show up again.”
Why it matters. As someone interested in SEO, I understand that appearing in AI Overviews is significant. However, it’s becoming clear that maintaining those spots hinges on user engagement. If we don’t interact with these overviews for certain queries, Google may choose not to display them, affecting AI visibility for different brands and publishers.
AI and personalization. While Google incorporates some personalization in AI search, Stein mentioned that these are smaller adjustments rather than extensive reshaping of results:
“For instance, if you’re someone who frequently clicks on videos, those results may appear higher for you. However, the adjustment is minor because we want the user experience to remain consistent.”
Ads and monetization in AI search. It’s interesting to note that Google is actively experimenting with ads within AI-powered search experiences, including AI Overviews and AI Mode.
Stein explained that ads will appear “when helpful,” in line with Google’s longstanding ad philosophy. He also noted that “the vast majority of Google searches do not have ads.” Key use cases for AI-driven ads include shopping, comparisons, and product research.
Furthermore, Stein emphasized transparency in distinguishing sponsored content as a priority.
Visual search growth. Visual search is apparently exploding in popularity, with usage up 70% year over year. Around 1 billion of us are now using visual search tools like Google Lens to find information visually, such as discovering products, matching outfits, and solving real-world queries.
I recently delved into the intriguing world of Answer Engine Insights and discovered a groundbreaking update: eight distinct citation categories. These categories reveal the true sources of AI visibility.
This update provides a fresh perspective, as it’s backed by insights derived from analyzing an impressive 85 million citations across ChatGPT, Gemini, and various AI Overviews. Now, isn’t that fascinating?
If you’ve ever wondered about the mechanics behind AI answers, this exploration into citation categories might just provide the clarity you’ve been seeking.
As AI-driven search results become the norm, I’ve realized that leveraging YouTube is no longer just an option; it has become a necessity to maintain visibility in search results.
Staying ahead of the competition has always been about embracing the next evolution in search.
This shift means I need to make my content discoverable by AI-driven tools.
If I’m still considering YouTube a “nice-to-have” in my SEO strategy, I’m risking losing ground to competitors who are already capitalizing on its potential.
YouTube as Core Search Infrastructure
It’s now clear to me that YouTube cannot be treated merely as a “brand” or “social” asset, because it has become integral to search infrastructure.
With 48.6 billion visits monthly, YouTube is the world’s second most-visited site, second only to Google.com.
That’s 5.4 times more visits than Facebook and 8.7 times more than ChatGPT, making it a critical platform for visibility.
YouTube has evolved vastly, from simple webcam uploads to professional studios producing high-quality content, and this shift in quality has redefined viewing habits.
According to Nielsen, YouTube holds the top spot in U.S. streaming watch time. For many, “watching TV” means tuning in to YouTube.
This rise in big-screen viewership has a significant impact on search dynamics by turning YouTube into an interactive search platform in living rooms.
Viewers explore over a billion hours of YouTube content daily, mixing Shorts, podcasts, and live streams with traditional TV formats.
Such engagement creates learning opportunities for AI models while making YouTube an indispensable search resource.
YouTube’s expansion to TV and connected devices is reconfiguring the ad and commerce landscape, where new formats engage users across multiple devices.
Google Search now features YouTube videos prominently, reinforcing their role as a core SEO asset.
This trend means YouTube videos are favored for complex tasks, tutorials, and product insights, part of what makes them authoritative in AI Overviews.
Ensuring my YouTube catalog is well-structured and aligned with user queries is essential to maintaining a competitive edge in AI-driven search results.
YouTube at 20: Embracing Creator-First Discovery
As YouTube celebrates two decades in 2025, the platform emphasizes creator-driven content, challenging traditional brand-centric approaches.
Channels like MrBeast highlight the value of pacing, storytelling, and community engagement over mere production quality.
Participatory trends in gaming, entertainment, and music show how user-generated content domains are pivotal for discovery.
Recognizing YouTube’s influence, it’s clear that a polished SEO strategy should account for these cultural dynamics, leveraging clear signaling for both human and AI curation.
Redefining SEO: Focus on Inclusion
AI Overviews no longer mimic the traditional 10-blue-links model. They integrate videos, thus shifting SEO goals toward inclusion as trusted quote sources.
This shift requires that I ensure my content is accessible, legible, and credible, maximizing opportunities for inclusion in AI-generated answers.
Adopting a YouTube SEO checklist focused on AI discovery helps operationalize this new approach.
The tactics include intent-driven metadata, structural optimization, authority signaling, and strategic integration with collaborators.
As organic search from Google dwindles, I’ve discovered numerous avenues for driving traffic to affiliate sites by leveraging communities, courses, and partnerships.
Google’s AI Overviews often display affiliate content without providing traffic or clicks back to publishers. Fortunately, we don’t need to rely solely on Google to drive our success.
With a new year upon us, I’ve been exploring diverse sources of traffic and identifying new methods to diversify income. It’s crucial to stick to what we do best while expanding our reach.
The strategies I share here are ones I regularly apply with partners and have seen them succeed time and again.
This discussion stems from a podcast where I questioned if affiliate marketing was at its end. Fortunately, it’s far from it. Affiliate marketing reaches far beyond Google, continuing to thrive as a vital industry.
Skool and Educational Platforms
Platforms like Skool offer possibilities to launch a course or nurture a community with multiple features, including text, video, newsletters, and interactivity.
These platforms stand out due to their focus on creators and educators, quickly gaining market share. They empower us to monetize creatively and offer the flexibility to cultivate a community and brand.
Imagine crafting courses on topics ranging from starting a photography business to cooking classes. We dictate if and when courses are free or paid, and tailor the content our students receive.
What’s especially advantageous is the integration of affiliate links and an email system, both designed to convert free trials or foster ongoing engagement with students.
Platforms like these support virtually any niche. Whether in credit repair, skill learning, or business startups, they provide us with tools to succeed.
Data from Semrush as of December 27, 2025, reveals around 110,000 monthly branded searches, with 33,000 directed to the login page. This suggests a robust user base available for those like us eager to grow our courses.
I’ve noticed a resurgence in offline advertising within affiliate channels, offering opportunities to engage audiences in unique ways.
Beyond traditional approaches like TV ads, I’ve seen affiliates leverage QR codes in retail environments or on physical flyers—even if I was too rushed to scan them myself!
Experts and speakers we meet at workshops often integrate affiliate links into their presentations. By placing links on business cards, they earn from recommendations they would make regardless.
I’ve thought about the potential of placing QR codes on T-shirts—imagine the possibilities in high-traffic areas! Curious passersby could find themselves exploring products or content they weren’t expecting.
This tactic could lead to impulse buys, jokes of the day, or even popular travel app promotions. The creative offline opportunities are boundless.
It’s exciting to see brands returning to the affiliate channel by investing in perks and partner portals.
By linking with complementary companies via these portals, brands are referring users while collecting commissions.
Partnership portals help us find valuable co-marketing partners for email campaigns, social media posts, and more.
Banks are promoting insurance and web hosting services.
Web hosts suggest LLC formations alongside essential legal documents like privacy policies.
Food brands are highlighting kitchen tools and accessories.
Affiliates also coordinate with brands to market software or cashback platforms on post-purchase thank-you pages. When we have access to a shopper within a brand’s cart, it’s golden.
So, how does this drive traffic? By featuring each other in partner portals, we cross-promote and amplify our collective reach. Collaborate with a partner to create a complementary course or service and be bold in suggesting an inclusion within its portal.
Acting as niche experts, we add incredible value, particularly when supporting upsells that a brand struggles to convert. This collaboration can convert enthusiastic audiences.
Through this synergy, brands capitalize on our credibility, ultimately reaping higher-value customers without navigating conversion issues alone.
When Search Sends Fewer Clicks, Creativity Matters
There’s ample opportunity within traditional platforms like social media and SEO, yet creativity is king when search engines fail to deliver clicks.
Challenge yourself to discover where you can generate traffic and route those users to your affiliate links. The only limits are those imposed by your imagination.
I recently explored why my competitors often feature in Google’s AI Overviews while my content doesn’t, and I’ve discovered some strategies to change that.
Understanding the mechanics behind Google’s AI Overviews can give your content a much-needed edge. These overviews are complex algorithms that prioritize well-structured and relevant information.
To improve my content’s visibility, I need to focus on optimizing for AI search by ensuring my content is thoroughly cited and indexed. This requires a strategic blend of content optimization and SEO best practices tailored to AI.
By proactively adopting these strategies and tools, my goal is to enhance my content’s AI visibility, ensuring it gets the attention it deserves in AI-driven search environments.
Reflecting on another year in the world of search, I’ve seen how Google labeled 2025 as year three of a 10-year transformative shift. This change, centering on AI, became undeniably evident. No longer just an experiment, AI has now firmly integrated into the core processes of search.
Here, I’ll share the most significant SEO news stories of 2025 from Search Engine Land.
Note: This overview excludes Google algorithm updates, which Barry Schwartz has covered in a separate recap published today.
10. Perplexity Ranking Factors and Systems
Diving into the intricacies, independent researcher Metehan Yesilyurt examined browser-level interactions, revealing how Perplexity scores, ranks, and sometimes drops content. His findings uncovered a three-layer machine learning system reordering entity searches, manual authority whitelists, and many engagement signals.
He also observed that authoritative domains, early strong performance, and tech-focused topics received boosts. The ranking further mirrored time decay, interconnected content clusters, and trending YouTube content that amplified visibility.
In a move all about clarity, Google introduced Query groups to the Search Console Insights report. By employing AI, it groups similar search queries into distinct audience topics. These don’t influence rankings but make performance trends more apparent, especially for high-volume sites.
I was surprised to see HubSpot’s organic traffic plummet from 13.5 million to 8.6 million within a month, mainly impacting its blog. This followed several Google updates, with SEOs pointing to thin, broad content not aligned with HubSpot’s core expertise.
The ongoing identity debate in SEO continues as Google rejects new terminologies like GEO (generative engine optimization) and AEO (answer engine optimization). They maintain that strong SEO practices are also effective for GEO, underpinning AI Overview rankings’ fundamentals.
Yet, as AI answers replace clicks, traditional search still plays a vital role in discovery, despite search behavior evolving with users seeking AI for quick answers but relying on Google for extensive research.
The expansion of Google AI Mode from a trial to an almost default, comprehensive search experience was rapid. It incorporated more in-depth research, agentic activities, personalization, and the advanced Gemini 2.5—a drastic evolution toward complex search behaviors.
This AI Mode initially struggled with transparency, breaking referral tracking and merging its performance data with standard Search Console reports, sparking concerns over visibility and attribution in a more AI-centric search landscape.
When Cloudflare CEO Matthew Prince spoke about AI disrupting the web’s search-driven business model, it resonated with many. He highlighted the disproportionate relationship—Google and AI companies scrape extensive content while returning minimal traffic, jeopardizing original publishing unless the economic model adapts.
Seeing Google’s search share dip below 90% globally for the first time since 2015 was significant, driven by shifts in Asia and the U.S. This opened opportunities for Bing, Yandex, and Yahoo to capture some of Google’s shrinking share.
Google’s stricter stance on AI-generated content was clear when it instructed quality raters to assign the Lowest ratings to predominantly auto-generated pages. The expanded spam definitions targeted scaled, low-effort AI implementations.
Concurrent tests of AI-generated and AI-summarized search snippets indicated a future where AI not only critically examines content but also influences its presentation in searches.
I noticed analysis from various sources showing a troubling trend: Google Search offered more impressions and AI Overview visibility but resulted in fewer clicks. This was especially evident with non-branded, informational queries where AI Overview overshadowed classic results.
Brands mentioned in AI Overviews saw improved CTR, whereas those outside these features lost prominence, emphasizing that AI visibility is pivotal in driving successful outcomes.
Google’s removal of the &num=100 search parameter has widely impacted the SEO industry, disrupting rank-tracking tools and coinciding with a noticeable decrease in Google Search Console impressions and query counts.
Initial evaluations suggested that the majority of sites experienced reduced visibility, especially beyond Page 1, hinting at historic overreported metrics and a more realistic view of organic performance going forward.
I’ve been following the significant regulatory move in which the European Commission launched a formal antitrust investigation into Google.
At the heart of this issue is Google’s use of publisher content to develop AI Overviews and other generative AI features, potentially diverting traffic from original publishers.
As someone involved in SEO or content strategy, I’m immediately affected by these developments.
The question I’m pondering is whether Google is overstepping by using publisher content for AI answers, or if it’s just part of being in an open web environment.
With regulators stepping in, I’m seeing the industry reevaluate how we use, manage, and value machine-readable content. It raises questions about the cost to brands, publishers, and agencies if regulation doesn’t catch up with innovation.
Here’s what’s going on, why it’s significant, and how the industry is already responding.
What’s Actually Happening: Core Allegations in the Complaint
This move from the EU is unfolding alongside other legal challenges, like those from publishers taking a stand against OpenAI and Penske Media’s recent antitrust suite targeting Google’s AI offerings.
Many publishers see Google’s actions as a no-choice situation: allow the use of their content for AI, or face losing vital search traffic.
At the same time, I notice how technical tools like robots.txt, Google-Extended, and new noai/nopreview conventions are reflecting an industry that’s striving to reclaim control.
The crux of the issue is whether AI training and answer generation stretch the bounds of traditional indexing and require licensing or proper attribution.
The Big Debate: ‘Google Doesn’t Owe You’ vs. ‘It’s Not Their Content’
I often see the assumption that control of web content lies in our hands.
Yet, without search engines, their reach is quite limited.
This tension fuels an ongoing debate dividing SEO perspectives.
On one side is the belief that ‘Google doesn’t owe you anything’.
Many argue that the web is open, allowing search engines to crawl freely grants implicit permission for content use.
Google facilitates discovery, but clicks or backlinks aren’t guaranteed.
On the flip side, there’s the perspective that ‘It’s not their content’.
Publishers argue against unlicensed use of content for LLM training and AI responses.
They see generation without attribution or compensation as disruptive.
This debate is active across social media and discussion forums.
Some suggest focusing on generative engine optimization, or GEO, replacing traditional rankings with AI quotes.
Nonetheless, that approach keeps publishers reliant on Google’s linking decisions.
In practice, there’s validity to both arguments.
Yet, the broader trend reveals the trajectory.
Even if Google faces consequences, search is unlikely to return solely to blue links.
The zero-click conversion is advancing.
The Dark Future of a Web Without Unique Content
Before diving into potential outcomes of the complaint, consider the impact on information itself.
As creators feel their work is reused without reward, the drive for original content wanes.
Simultaneously, AI-generated content is growing, often with minimal human input.
Entire sites now rely heavily on generative systems for content.
This often involves reworking existing text, with occasional inaccuracies.
As this cycle continues, the risk is declining informational quality due to a lack of truly fresh inputs.
The debate over AI training isn’t just about traffic or monetization.
It questions how the web can sustain unique knowledge creation and why protecting publishers is crucial to prevent information quality degradation.
What Can Happen if Google Loses
The traditional Google-publisher agreement was straightforward: “I let you crawl, you give me clicks.”
Generative AI disrupted this balance.
If the EU finds Google’s actions anticompetitive, we could witness major shifts:
Mandatory opt-out mechanisms: Effective changes could enforce a granular system that protects against AI summaries without sacrificing rankings.
The licensing economy: Following the music industry model, licensing could become compulsory, splitting organic search into free and premium sectors.
AEO formalization: Attribution could be legally required, turning source citations into a ranking factor.
Ads and the Shifting Economics of Visibility
While this primarily concerns AI and content rights, ads still significantly impact SERP dynamics.
As organic space shrinks due to AI summaries, paid ads remain a strong visibility tool.
Even if EU pressures curb AI answers, the space for blue links is unlikely to grow.
The landscape will continue to favor revenue-driven Google products.
If AI Overviews reduce organic visibility, CPCs could rise, affecting ad positions.
Whatever the AI outcome, one truth is apparent: the cost of visibility is on the rise.
How to Adapt Your SEO and Content Strategy
Before any EU decision, I see top teams already shifting their strategies from merely ranking for keywords to ensuring they are the main entity answer wherever an AI model scans.
This involves several key actions:
Enhancing entity clarity with schema and consistent data for accurate AI association.
Auditing brand representation in AI Overviews and tracking emerging visibility KPIs.
Reconsidering robots.txt strategies to manage IP protection versus AI visibility.
Educating leadership that visibility extends beyond traffic, incorporating citation and AI source value.
The strategic goal is remaining readable and rights-conscious while ensuring brand presence where AI answers are most trusted.
