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Discover the Next Wave: Ads Coming to ChatGPT Conversations
I’ve just learned that OpenAI is about to begin testing advertisements within ChatGPT in the U.S. over the next few weeks. These ads will appear at the bottom of chatbot responses and will be clearly labeled. They’ll only show up when there’s a relevant sponsored product or service that aligns with the conversation.

Who will see ads:
- Logged-in adult users on the free tier
- Users subscribed to ChatGPT Go, OpenAI’s affordable $8/month plan
- Pro, Business, and Enterprise subscriptions will remain ad-free
- No ads for users under 18
Why this matters to us. Placing ads in ChatGPT introduces a new, high-intent opportunity where people are actively asking questions and making decisions. Unlike traditional search or social ads, these are right within relevant discussions, offering context-rich exposure with explicit user controls. If this scales successfully, it could become a new powerful channel for performance and discovery, perfect for brands targeting intent-driven, educational, or consideration-stage marketing.

The bigger picture. OpenAI expresses that introducing ads is part of a larger strategy to make powerful AI more accessible to the masses. ChatGPT Go, launched in 171 countries last year, is now available in the U.S., bringing expanded features like image generation and memory at a more affordable rate. These ads are intended to help reduce usage limits for free users and stabilize costs.

What stays unchanged. OpenAI assures us that these ads will not influence ChatGPT’s responses and that our conversation data will remain private and won’t be sold to advertisers. Also, ads won’t be placed near sensitive topics such as politics, health, or mental health.

OpenAI’s advertising principles. Their approach is driven by alignment with their mission, maintaining answer independence, ensuring conversation privacy, and providing user control. I’ll have the ability to see why I’m shown a particular ad, dismiss it, turn off personalization, or clear any ad-related data whenever I choose.

The overall perspective. With infrastructure commitments exceeding $1.4 trillion and a $20 billion annualized revenue run rate reported, OpenAI faces the challenge of discovering scalable revenue streams. Advertising, a financial powerhouse for giants like Google and Meta, might just be the answer to cover these costs while expanding AI accessibility.

Looking deeper. CEO Sam Altman has previously mentioned that introducing ads could potentially erode trust. However, OpenAI is framing this test as cautious and user-centric, emphasizing that it won’t prioritize time spent or revenue over user experience.

What’s on the horizon. While ads aren’t live yet, testing is set to begin soon. OpenAI plans to refine the advertising experience based on user feedback as they experiment with monetizing their flagship ChatGPT product.

Inspired by this post on Search Engine Land.
January 16, 2026
Unlock Discoverability: The Synergy of Digital PR & Social Search in 2026
Over recent months, my perspective on digital discoverability has undergone a shift.

I’ve recognized that people aren’t just relying on Google anymore to explore new brands.

Today, audiences discover brands on TikTok, dive deep into Reddit threads, enjoy YouTube content, and turn to AI for concise summaries, all influencing a brand’s visibility.

Achieving discoverability isn’t about monopolizing a single platform anymore.

Instead, it’s about maintaining a consistent presence across all the platforms where my audience is making decisions.

In this evolving landscape, two strategies are proving invaluable: digital PR and social search.

They aren’t separate entities but rather work together to build authority and improve visibility across various digital spaces.
- Digital PR creates credibility, establishing trustworthiness on a large scale.
- Social search amplifies this credibility, ensuring it’s visible and memorable, anchoring brands in cultural and real-world conversations.
Together, they shape preferences effectively, paving one of the most dynamic paths to discoverability as we approach 2026.

This isn’t about future speculation; it’s the reality for brands successfully capturing attention today by designing campaigns where earned authority merges with platform-native content.

Search is no longer the destination, it’s a layer

In the past, we viewed search as a destination—a tool to capture intent and deliver answers.

Our focus was ranking, optimizing, and climbing to the top.

However, this approach doesn’t hold anymore. Search is now a layer atop behaviors, not their centerpiece.

It’s woven into various platforms, formats, and experiences. People don’t pause their actions to perform a search; it’s often an ongoing background process.

Users might hear about a brand on TikTok, explore public opinions on Reddit, watch a detailed YouTube breakdown, and ask an AI for a summary on pros and cons.

Each step embodies modern search powered by ongoing intent.

For my brand, arriving only when a person types into Google is far too late, often missing the mark as decisions are shaped beforehand.

This necessitates a more comprehensive approach to discoverability, extending beyond my website, ensuring we’re part of the entire search universe.

Digital PR and social search become critical tools in achieving a broad, yet cohesive presence across these varied platforms.

Social search is where intent becomes belief

Intent now grows through exposure, reinforcement, and social credibility across digital platforms.

Tools like TikTok, Reddit, or YouTube aren’t just for getting answers. They’re for validating what users already sense about a brand.

Social search fosters belief, whereas traditional search feels more transactional, often verifying availability or comparing options.
- A TikTok demo reduces uncertainty.
- Reddit threads add genuine context.
- YouTube breakdowns provide additional safety.
This transforms social platforms into pivotal spaces where choices are affirmed before users reach traditional search engines.

Social search’s power lies in steering what users are inclined to trust, significantly enhancing cross-platform discoverability.

It’s about showing up and participating in shaping belief, not just aiming for engagement.

Where digital PR and social search meet, they offer a robust bid for the brand narrative’s authenticity and amplify the impact of third-party validations.

Digital PR anchors belief with credibility

If social search fosters belief, it’s digital PR that lends that belief the gravitas of authority.

Digital PR should be seen beyond links or temporary coverage. It provides a robust foundation of third-party validation recognized by algorithms and audiences.

It addresses the question of credibility, turning claims into supported truths.

By anchoring ideas in authority, digital PR shifts perceptions beyond mere brand visibility to genuine trust.

Real power emerges when digital PR shapes the groundwork for belief through source authority, narrative consistency, and portability across platforms.

Together, they enable campaigns and stories to become enduring elements of discoverability.

Operationalizing synergy for 2026 and beyond

To achieve this synergy, I must embrace a new mindset, aligning my digital PR and social strategies under a singular focus: discoverability.

My efforts should not only be about gaining coverage or broad engagement but rather about moving conversations to where they naturally fit into the evolving search universe.

By planning campaigns that travel brilliantly across platforms, I ensure my brand is ever-present where authority meets belief.

Success is now about creating a persistent story that resonates across multiple contexts, truly achieving my ultimate goal of enhanced discoverability in 2026.

Inspired by this post on Search Engine Land.
January 16, 2026
Mastering AI Video Ads: Top Strategies for PPC Success

As I delve into the world of digital advertising, I realize that AI is more than just a buzzword; it’s a fundamental component of our strategies in 2026. Especially with video ads, where visuals speak louder and clearer than text, leveraging AI has become crucial not just for creating content but for innovating how we connect with audiences.

The power of video in advertising is undeniable as it allows consumers to process information rapidly. With the drop in creative costs, using video is more viable and impactful than ever. The real question I find myself asking is not if PPC teams should use AI, but how to optimize its usage to maximize results and ensure our content remains compelling and governed well, safeguarding against pitfalls like hallucinations that might disrupt performance.

Why has AI adoption in PPC alone become insufficient to enhance performance? Nearly 90% of marketers now integrate AI for creating or modifying video ads—a testament to its widespread use, though it does not guarantee success. Being successful in this domain now hinges more on our ability to feed AI the right creative inputs, data signals, and monitoring practices instead of relying on outdated manual bidding strategies.

Here are five AI-backed strategies that I believe are key to enhancing video PPC campaigns effectively:

1. Embrace Modular Asset Libraries Over Perfection

Historically, we have approached video production with a mindset tailored for TV-style advertising. However, in this new age of Performance Max, providing a rich library of modular assets allows AI to dynamically craft video experiences, tailored to user behavior, device, and intent. Flexibility in creative elements does not hinder, but rather enhances, performance by offering multiple hooks, bodies, and CTAs that AI can creatively assemble.

2. Move Beyond Keywords to Intent Orchestration

In today’s AI-driven ad environment, keywords are more about nuances rather than triggers, aimed at helping systems understand audience themes. Rather than allowing AI to optimize within broad, unguided targets that may reduce quality, it’s imperative to guide it toward understanding and targeting true intent, using negative keywords and first-party data to inform its decisions.

3. Optimize With Value-Centric Data

One common pitfall we face is feeding generic or low-value conversion signals to AI systems, which misdirects efforts toward less fruitful outcomes. By aligning AI optimization strategies with value-based conversions through enhanced and offline data imports, we can refine how AI perceives and prioritizes user actions, ensuring a focus on quality over mere quantity.

4. Opt for Lift Measurement Over Last-Click Attribution

In assessing the impact of AI-driven video formats like YouTube Shorts, adopting advanced attribution models becomes crucial since traditional models fall short. By employing media mix modeling or simple tests that monitor consistency in spend and revenue growth, we can better understand and demonstrate the true value ads deliver across channels.

5. Cater to Silent Viewers

Many viewers start by watching videos on mute, especially during initial discovery phases. Therefore, ensuring that visual elements of a video are clear and engaging without the necessity of sound can effectively maintain audience interest and ensure message retention from the first visual frame onward.

Shaping the Future of PPC

The role of the PPC manager resembles that of an architect, structuring the framework in which AI operates. The emphasis has shifted from direct control to strategic input planning and data management, allowing for scalable and efficient AI-guided campaigns that propel brands toward success.

Inspired by this post on Search Engine Land.

January 16, 2026
AdSense Revenue Crashes: Publishers Face Sudden Income Plunge

I’ve recently noticed a wave of concern sweeping across Google AdSense publishers due to a sudden drop in earnings. Many publishers like myself have experienced a steep decline in eCPM and RPM by up to 70%. This unexpected turn of events has left us fearing another shock to our revenue streams.

Why this matters to me is simple: relying heavily on AdSense for funding operations makes me vulnerable to such sudden swings. When traffic flows and costs remain steady, a sharp revenue decrease poses a real threat to my sustainability.

The buzz in the community intensified late on January 14th, peaking through January 15th. From the U.S. to Europe, publishers reported drastic drops in both page RPM and eCPM. Interestingly, multiple sites within the same accounts felt the impact simultaneously, and some even reported that their ads had partially or completely vanished.

Publishers like myself have voiced concerns:

“My RPM dropped by more than 80% overnight.”

“Same traffic, same placements — revenue collapsed.”

“I used to earn $500 a day, now it’s $35.”

“Never seen figures like this before.”

The numbers paint a grim picture across various regions:

Germany (.de): –64%

France (.fr): –63%

Italy (.it): –76%

Spain (.es): –90%

U.S.-focused sites report drops of 35–70%

Digging deeper, the timing of these drops coincides with an unconfirmed Google Search ranking update. This connection raises worries that visibility shifts and monetization issues are overlapping — an unsettling pattern that I, with many others, have witnessed before.

There’s another twist. Google has recognized systemic issues within Google Ad Manager. These issues include:

Declining AdX match rates

Reduced delivery from Google Ads and DV360

The hardest-hit areas are web and mobile web display inventory.

According to Google, affected users might face errors, high latency, or unusual behavior, with an update promised by Jan. 15th, at 7:00 PM UTC (2 pm E.T.).

However, a few critical questions remain unanswered:

Does the Ad Manager issue completely account for the AdSense revenue declines?

Is this all a reporting bug, an ad serving issue, or the beginning of a long-term monetization shift?

The indirect impact of AI Overviews, which currently display zero ads, is also a mystery.

In the broader context, it’s not just a recent occurrence for us; many publishers, including myself, have been experiencing a decline in revenue for months. Some have seen losses of 70–80% since mid-2025, driving fears that traditional content sites are being gradually deprioritized.

The bottom line is that, whether this is a temporary glitch or a sign of a continuing trend, we’re once again in a position of uncertainty — monitoring our dashboards with little clarity and even less control.

Inspired by this post on Search Engine Land.

January 15, 2026
Discover Trends with Google’s New Gemini Feature

I’ve recently noticed that Google Trends has introduced a fascinating update to its Explore page, and I’m thrilled to share what I’ve learned with you. This update is powered by something called Gemini, which aims to make it easier for us to discover and compare trending search terms within our areas of interest.

When I explored the new layout, I found a fresh and handy ‘Suggest search terms’ button at the top right. Here’s a look at the updated interface:

Clicking on ‘Suggest search terms’ allows me to enter a keyword or even a natural language sentence. Gemini then helps break down all relevant terms and compares them, offering insightful suggestions. It’s amazing how Google automatically identifies and contrasts trends pertinent to my interests, providing a list of suggestions to delve deeper into.

And here’s something cool I found during my exploration:

The redesign offers a sleek, modern aesthetic that I find very appealing. Each search term is now paired with dedicated icons and colors, making it easier to match terms with their respective lines on the graph. I’ve noticed that Google has increased the number of terms I can compare and has doubled the amount of rising queries on each timeline. This is helpful in understanding why certain queries are trending.

For a bit of nostalgia, here’s a glimpse of the old design:

This update is being gradually rolled out, so while I’ve had the chance to explore it today, I understand that some of you might not see it immediately. Google has informed us that it’s currently a gradual release on desktop.

Why should you care? Well, this innovative tool presents new ways to uncover fresh and exciting content ideas for your site. Go ahead and give it a try; you might just be pleasantly surprised by what you find.

Inspired by this post on Search Engine Land.

January 14, 2026
Unlock Personal Insights with Gemini: Connect Your Google Life

I’ve discovered a game-changer in how I interact with my Google ecosystem. With the beta release of Google’s new ‘Personal Intelligence’ in the Gemini app, I can now get personalized responses that take my searches, emails, photos, and YouTube history into account. This is all part of Google’s push to integrate our online experiences into one cohesive tool.

Google announced, "Launching as a beta in the U.S., this marks our next step toward making Gemini more personal, proactive and powerful." They plan to extend this innovation to Search in AI Mode soon, enhancing how we access and process information online.

Before, Gemini could retrieve data from various Google apps; now, with Gemini 3, it reasons with the data to provide insightful recommendations proactively. This progress feels like a leap into the future.

Check it out: Here’s a video showcasing how this integration works:

Availability: This feature is being rolled out to U.S. subscribers of Google AI Pro and AI Ultra, promising full availability within the week. Once enabled, it can be used across Web, Android, and iOS platforms, expanding soon to more countries and the free user tier.

This innovation is exclusively for personal Google accounts right now, excluding Workspace users. However, with rising demand, expansion seems inevitable.

Privacy, Control, and Personalization: I’m thrilled that Google prioritizes my privacy. These features are off by default, allowing me to decide when to connect my apps. When apps are connected, personalization does not blanket all responses.

I appreciate how I can manage personalization settings: connect some apps, keep others out, and handle past chats. There’s also an option to give feedback if the personalization doesn’t quite hit the mark.

Why It Matters: The integration into AI Mode in Google Search means personalized experiences could transform how visible we are on these platforms. Tracking AI-driven results might become tricky, but the potential benefits make it worth exploring.

Inspired by this post on Search Engine Land.

January 14, 2026
Master PPC Success in the AI Era: 10 Essential Strategies

Navigating a shaky economy and the rise of AI tools transforming entry-level jobs, my career in marketing sometimes feels precarious.

Yet, there’s hope for those ready to seek it.

As a marketer, embracing adaptability, critical thinking, and thoughtful AI integration means I can streamline workflows, refine strategies, and invest time in impactful initiatives.

This AI era is still unfolding, but over a decade as a marketing leader has highlighted enduring patterns.

Within my teams and our partnerships, certain PPC experts are better prepared to thrive as AI reshapes our roles.

1. Understand the tools, but think beyond them

The influx of new AI tools is overwhelming. What I’ve learned is to focus on understanding which tools to test and why.

Testing just for the sake of it leads nowhere.

Without a clear goal, knowing a tool in isolation holds little value.

Choosing tools wisely is just the beginning. Measuring results effectively and integrating tools thoughtfully into broader strategies is equally crucial.

I’ve seen AI tools embraced only to be neglected or cause issues when poorly integrated.

Thriving marketers in this era are strategists, not just users. They test with purpose and understand a tool’s role in the marketing mix.

2. Be a stubbornly critical thinker

AI tools can deliver outputs, but what’s next?

I’ve often seen outputs accepted without question. Standout marketers dig deeper, questioning assumptions and interpreting results.

Critical thinking also involves understanding ad platforms and algorithms as they evolve.

Experienced marketers, who have witnessed changes in ad systems, understand their impact on performance.

New marketers can develop this understanding by exploring platforms thoroughly.

3. Balance curiosity with discipline

Curiosity drives learning and creativity. However, balancing it with discipline is essential in an AI-driven world.

The abundance of tools and ideas can easily distract without a focused strategy.

Discern between what’s interesting and what’s truly impactful for defined business outcomes, such as driving pipeline or improving retention.

4. See the whole picture

AI excels at optimization.

However, it struggles with context, where I can set myself apart from both tools and peers.

AI may suggest strategies, but it won’t show how they fit into a company’s overall strategy.

Successful marketers view AI outputs through the lens of business objectives and audience behavior, beyond mere tool features.

5. Develop technical depth (not just surface skills)

While AI automates campaigns, it can’t substitute deep technical expertise.

On my team, those who excel dig deeper, addressing KPIs and comprehending the underlying reasons for performance.

Marketers successful in this era blend technical precision with creativity, interpreting data beyond surface-level insights.

This technical fluency builds trust and enables marketers to catch and correct AI missteps.

6. Stay skeptical of automation

Overconfidence in automation is risky.

This isn’t about mistrust but about careful management.

Just because AI can do something doesn’t mean it should without consideration.

Smart marketers establish guardrails, testing automation wisely and validating outcomes to support human insight.

7. Take ownership and accountability

AI can’t take responsibility. Anything shared with a client, be it AI-generated or not, is my responsibility.

This approach is vital.

In using AI for various tasks, accountability distinguishes professionals.

Before deploying AI-driven work, ensure it’s accurate, on-brand, ethical, and insightful.

If any of these aspects are uncertain, reconsider before risking your professional reputation.

8. Champion AI governance and brand safety

AI governance is essential for today’s marketers.

AI features from platforms present real risks concerning privacy and brand safety.

I ensure my brand’s integrity by setting clear AI usage guidelines internally and externally.

Responsibilities include reviewing data, establishing approval processes, and aligning AI content with brand standards.

Relying solely on IT for governance without direct involvement poses significant risks.

9. Measure what matters

AI can track everything, but not all metrics are valuable.

I focus on metrics that relate directly to business outcomes.

This often involves moving beyond basic metrics to assess comprehensive performance.

I’ve observed many cases where shifting away from surface-level successes leads to stronger results.

AI accelerates progress, but direction should align with genuine business goals.

10. Sharpen your soft skills

With AI leveling technical playing fields, human skills are the key differentiators.

In this automated landscape, it’s hard to showcase unique platform techniques. Instead, soft skills like emotional intelligence, storytelling, and communication are irreplaceable.

Marketers who hone these skills will preserve the human edge that turns AI capabilities into tangible brand value.

The mix that still defines great marketers

AI is transforming the marketing landscape.

The most successful marketers blend technical expertise with adaptability, critical thinking, accountability, and creativity in this new era.

Inspired by this post on Search Engine Land.

January 14, 2026
Master AI Content Optimization: A Personalized Guide
When it comes to optimizing content for AI search engines, I’m here to guide you through the essential steps that will help your website become a go-to source for AI engines like ChatGPT, Perplexity, and Google AI Overviews. Let’s dive in together and explore how AI content optimization can elevate your online presence.

AI-powered search engines aren’t the future; they’re the present. Here’s why this matters:
- Google’s AI Overviews now engages 2 billion users monthly.
- ChatGPT attracts 800 million users weekly.
- Perplexity handled 780 million queries in just one month.
Now, citations hold more significance than mere rankings and clicks. You need to craft content that AI engines trust and reference. Let’s talk through the steps of AI content optimization.

Curious about your current standing? You can discover your website’s performance with a quick free GEO audit in under 60 seconds.

What is AI Content Optimization?

Generative Engine Optimization (GEO) reshapes how content is presented online to enhance visibility in AI-generated responses. Different from traditional SEO, GEO focuses on making your content the primary source cited by AI models when generating answers.

The term was coined by Princeton University researchers in late 2023 and has quickly become a pivotal aspect of digital marketing.
- Traditional SEO: It focuses on ranking within search results, gauging success through position and clicks.
- AI Content Optimization: It prioritizes becoming the cited source in AI-generated answers. Now, citation authority surpasses backlinks in importance.
- It’s about reference rates, not just click-through rates. The stakes are higher due to limited citation opportunities.
- Fierce competition: LLMs cite only 2–7 sources on average, intensifying the competition for AI visibility.
Step-by-Step Guide to AI Content Optimization

Are you eager to optimize for AI search? Let’s walk through a framework of key strategies and insights for creating AI-friendly content.

Step 1: Structure Content with Clear Headings and Logical Flow

AI systems excel at parsing content that’s well-organized with clear headings and logical flow. Structured content significantly boosts citation odds, especially with a Q&A format.

Best practices:
- Use straightforward H2 and H3 headers.
- Divide complex information into digestible parts.
- Utilize lists for clarity in processes and main points.
- Enhance with tables or charts for data comparison.
Step 2: Answer Questions Directly and Concisely

Content that answers inquiries directly in the opening line sees significantly higher citation. Front-loaded, clear responses are favored by AI engines.

Best practices:
- Start sections with direct answers.
- Present key information upfront.
- Include TL;DR summaries where needed.
- Adopt a conversational tone.
- Prioritize writing like a human, not a brand.
Step 3: Include Authoritative Data, Statistics, and Citations

Pages rich with original data and authoritative sources see a dramatic rise in AI citations. Citing reputable data sources consistently yields better results.

Best practices:
- Link to authoritative research and studies.
- Featured original data enhances credibility.
- Ensure statistics are up-to-date.
Step 4: Use Schema Markup and Structured Data

Adding schema markup like Article and FAQ enriches AI citations by organizing your content neatly. It helps AI systems comprehend and reference your material with ease.

Priority Schema Types:
- FAQ schema for clear Q&A formatting.
- Article markup for content type identification.
- How-to schema for illuminating processes.
- Organization and Product schema to establish brand visibility.
Step 5: Build Topical Authority and E-E-A-T

Maintaining Google’s E-E-A-T standards for expertise and trustworthiness remains integral. Highlight credentials and utilize authoritative sources to strengthen your topical authority.

Best practices:
- Include detailed author bios with credentials.
- Use bylines for all content pieces.
- Link to respected external sources.
- Develop niche-focused content clusters.
- Ensure accuracy across all platforms.
Step 6: Write in a Format AI Can Easily Parse and Quote

Well-organized, succinct content is more likely to be referenced by AI models. Use natural, simple language and clear structures like headings and lists to enhance comprehension.

Best practices:
- Craft sentences easily quotable on their own.
- Avoid unnecessary jargon.
- Clarify technical terms.
- Summarize key points effectively.
- Provide alt text and transcripts for media.
How to Check if Your Content is Optimized

Simply implementing GEO best practices isn’t enough; monitoring AI search performance and improving is crucial. Identify key metrics like citation frequency and voice share for comprehensive analysis.

Key Metrics:
- How frequently AI references your content.
- Compare your visibility against competitors.
- Assess how AI presents your brand.
- Ensure AI correctly attributes your content.
Use dedicated GEO tools like Geoptie’s GEO Content Checker to analyze content and gain actionable insights for improvement. Ongoing use of Geoptie’s GEO Dashboard helps track AI visibility and citations for continuous progress.

Remember, embracing GEO practices will position your content for future AI-generated citations. So, take your first step by discovering your website’s current position with a free GEO Audit and let the GEO Content Checker guide your key page optimization.

Inspired by this post on Search Engine Land.
January 14, 2026
How AI is Reshaping News Traffic: A 43% Drop Predicted by 2029

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.

Explore the Report. For those interested in deeper insights, the report, ‘Journalism, Media, and Technology Trends and Predictions 2026’, provides an expansive look into these changes.

Inspired by this post on Search Engine Land.

January 12, 2026
Apple Revamps Siri with Google’s Gemini AI: A Game-Changer
I’ve just learned that Apple is teaming up with Google to enhance its future AI capabilities, including a much-anticipated upgrade to Siri.

What’s happening: Apple plans to utilize Google’s Gemini AI models and cloud technology to bolster its upcoming Apple Foundation Models. This significant partnership is set to launch later this year.

Why it matters to me: With Gemini’s integration, Siri is poised to transform into a genuine AI-driven answer engine, fundamentally altering how I, along with millions of iOS users, search for information and interact with digital content.

Driving the news: According to Apple, after thorough assessments, they found Google’s Gemini model to be the optimal foundation for their AI objectives.
- Back in September, I discovered that Apple was in discussions with Google about using a custom Gemini model for a revamped Siri.
- I remember when Apple delayed the Siri upgrade last year, which led to increased scrutiny of their AI strategy.
What they’re saying: Here’s a statement Google shared via X:

Apple and Google have entered into a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google’s Gemini models and cloud technology. These models will help power future Apple Intelligence features, including a more personalized Siri coming this year. After careful evaluation, Apple determined that Google’s Al technology provides the most capable foundation for Apple Foundation Models and is excited about the innovative new experiences it will unlock for Apple users. Apple Intelligence will continue to run on Apple devices and Private Cloud Compute, while maintaining Apple’s industry-leading privacy standards.

The bigger picture: It’s fascinating to see that Google briefly surpassed a $4 trillion market cap last week, overtaking Apple for the first time since 2019.
- Google’s Gemini 3 model became available late last year as part of its expansive AI initiatives.
- Meanwhile, Apple has largely stayed out of the intense AI competition that took off with ChatGPT’s release in late 2022, while competitors invested heavily in models, chips, and cloud infrastructure.
Inspired by this post on Search Engine Land.
January 12, 2026

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