Google to expand ads in AI Overviews to more markets

6 steps to improve your Google Ads campaigns

Google will roll out ads within AI Overviews beyond the U.S. to select English-speaking markets by the end of 2025, the company confirmed during its Google Access event last week.

Why we care. As AI-generated answers become a central part of Search, this expansion could reshape how advertisers reach users – with ads appearing directly alongside AI summaries rather than traditional text results.

Catch up. Ads in AI Overviews were first unveiled at Google Marketing Live 2025, allowing brands to appear within generative responses when users ask complex, multi-part queries.

What’s next. Google’s gradual rollout will give advertisers and users time to adapt to new ad placements and formats – and could provide early insights into how generative AI changes ad visibility, performance, and measurement across Search.

Bottom line. For advertisers, AI Overviews represent both an opportunity and a challenge – blending paid placements into AI-generated answers could drive richer engagement but may also require rethinking how to optimize for discovery and intent in a more conversational search environment.

First seen. This update was shared on LinkedIn by CEO of Profitmetrics.io Frederik Boysen, after hearing it announced Google Access meeting he attended last week.

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Google rolls out new global ‘Sponsored results’ ad label

How to expand from paid social into Google Ads

Google is globally launching a new “Sponsored results” label across desktop and mobile, grouping text and Shopping ads under a clearer header.

The update marks one of Google’s most visible ad labeling changes in years. It allows users to hide groups of ads directly on the search results page.

How it works. Text ads will now appear under a larger Sponsored results header.

  • The same label will apply to other formats, like Shopping ads.
  • Users can choose to hide entire groups of sponsored results for a more personalized browsing experience.

Why we care. Clearer ad labeling and the option for users to hide sponsored results could influence ad visibility and click-through rates – meaning brands will need to focus even more on ad relevance and creative quality to attract engaged users who actively choose to view their content.

The big picture. The change aims to make ad placements easier to identify while streamlining navigation, part of Google’s ongoing effort to balance user trust and advertiser visibility in Search.

Bottom line. For advertisers, clearer labeling could mean higher-quality clicks from users who better understand when they’re engaging with paid results.

Google’s announcement. We’re improving navigation and introducing a new control for ads on Google Search.

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Google’s Robby Stein on AI Mode, GEO, and the future of Search

AI hasn’t replaced traditional search – it’s expanding it, according to Robby Stein, Google’s VP of Product for Search, speaking in a new interview on Lenny’s Podcast.

Google is seeing more searches than ever as people ask harder, more conversational, and more visual questions powered by AI, Stein said:

  • “People come to search for just ridiculously wide set of things. … They want specific phone number. They want a price for something. They want to get directions. They want to find a payment web page for their taxes. Like every possible thing you can imagine.
  • “I think the vastness of that is underappreciated by many people. And what we see is that … AI hasn’t really changed those foundational needs in many ways. What we’re finding is that AI is expansionary.
  • “There’s actually just more and more questions being asked and curiosity that can be fulfilled now with AI. That’s where you get the growth. The core Google search isn’t really changing in my opinion, we’re not seeing that. But you’re getting this expansion moment.”

Stein pointed to Google Lens as proof: a 70 percent year-over-year surge in visual searches. “Billions and billions and billions of searching this way,” he said.

AI Mode and the future of search. Stein essentially called AI Mode a new layer of Search that gives searchers a “consistent, simple product experience,” where they don’t have to think about where they are asking a question:

  • “[AI Mode] creates an end-to-end frontier search experience on state-of-the-art models to really truly let you ask anything of Google Search. You can go back and forth. You can have a conversation. And it taps into and is specially designed for search.
  • “It’s able to understand all of this incredibly rich information that’s within Google. So there’s 50 billion products in the Google Shopping Graph, for instance. They’re updated 2 billion times an hour by merchants with live prices. You have 250 million places and maps. You have all of the finance information. Not to mention you have the entire context of the web and how to connect to it so that you can get context but then go deeper.
  • “And you kind of like put all of that into this brain that is effectively this way to talk to Google and get at this knowledge. That’s really what you can do now. You can ask anything on your mind and it’ll use all of this information to hopefully give you super high-quality and informed information, as best as we can.
  • “It’s also been integrated into our core experiences. You can get to it really easily. You can ask follow-up questions of AI Overviews right into AI Mode now. Same for the Lens stuff – take a picture takes you to AI Mode, you can ask follow-up questions and go there too. So it’s increasingly an integrated experience into the core part of the product.”

GEO and content advice. Stein was asked about the rise of AEO (answer engine optimization) and GEO (generative engine optimization) and what it means. The rules of showing up in AI answers haven’t changed as much as people think, Stein said, noting that Google’s AI still searches – just a lot faster and smarter.

  • “When our AI constructs a response, [it] does something called query fan-out, where the model uses Google search as a tool to do other querying. So, maybe you’re asking about specific shoes. It’ll add and append all these other queries, like maybe dozens of queries, and start searching in the background. And it’ll make requests to our data back end, so if it needs real-time information, it’ll go do that.
  • “And so, actually something’s searching. It’s not a person. But there’s searches happening. And then each search is paired with content.

Stein referenced Google’s quality rater guidelines and seemed to indicate that SEO best practices still apply in the evolving era of GEO/AEO:

  • “Do you satisfy the user intent of what they’re trying to get? Do you have sources? Do you cite your information? Is it original, or is it repeating things that have been repeated 500 times? And there’s these best practices that I think still do largely apply because it’s going to ultimately come down to an AI is doing research and finding information.
  • “And a lot of the core signals – is this a good piece of information for the question? – they’re still valid. They’re still extremely valid and extremely useful. And that will produce a response where you’re more likely to show up in those experiences.”

Stein’s advice for publishers and creators:

  • “Think about what people are using AI for. I mentioned this is an expansionary moment, right? Like seems to be that people are asking a lot more questions now, particularly around things like advice or how to or more complex needs versus more simple things. If I were a creator, I would be thinking, what kind of content is someone using AI for? And then how could my content be the best for that given set of needs now? And I think that’s a really tangible way of thinking about it.”

How Google AI search differs from competitors. AI Mode isn’t a chatbot – it’s designed and specially created for informational needs (planning, learning, verification), not therapy, productivity, or creativity, Stein said.

  • “We’re really focused on what people use Google for and making an AI for that so that you can come to Google, ask whatever you want, and get effortless information about that, and context and links to then also verify, dig in, and go to the authoritative sources ultimately that people want.”

So perhaps we should call it IEO (information engine optimization) instead of AEO, GEO, etc.?

Bottom line. Google Search isn’t shrinking – it’s expanding due to multimodal searches, according to Stein. It’s being rebuilt to be “the best at informational needs.” That means answering natural language questions, not making searchers speak “keyword-ese.”

The interview. Inside Google’s AI turnaround: AI Mode, AI Overviews, and vision for AI-powered search | Robby Stein

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5 ways to drive action with your PPC report

PPC reports that drive action

Are you spending hours on client reporting every month, only for your stakeholders to skim it, dismiss the numbers, or ignore your recommendations?

When reports don’t drive action, you lose more than time. Budget approvals, strategic influence, and client trust are all compromised.

Here are five ways to make sure your PPC report doesn’t just get read, but actually moves your audience to take action.

1. Start with your audience, not the data

When building a report, it’s easy to get lost in the data – dozens of metrics, multiple platforms, endless ways to slice performance.

The instinct is to ask, “What data can I show?” 

But that approach creates reports that highlight numbers instead of driving decisions.

A better question is, “Who needs this, and what will they do with it?”

What does your reader need to understand or act on? 

To borrow from the Jobs-to-Be-Done framework – what is this report being “hired” to do?

  • What decisions are your stakeholders responsible for making?
  • What questions do they expect answered?
  • Which goals and KPIs do they need to monitor?
Identify and interview your audience

Once you understand the job your report is meant to do, you can reverse-engineer what belongs in it.

For example:

  • A CMO focused on connecting ad spend to revenue and competitive position will want to see ROAS, market share, and year-over-year growth.
  • An ecommerce manager focused on product mix will care more about category performance, inventory, and seasonal trends.

Off-the-shelf templates and automated reports can’t answer those questions for you – only direct conversations with stakeholders can. 

You don’t need to wait for a new client kickoff to do this. 

Check in with your current stakeholders to confirm your reports still reflect what matters most to them.

2. Establish the source of truth

If you manage platforms like Google Ads and Microsoft Ads, you’re likely reporting on engine numbers.

But engine numbers aren’t always the “source of truth.” 

Sometimes they’re only directionally accurate. Other times, they barely correlate with actual performance.

Here’s the risk when you don’t define that source upfront: you build and present a solid report, only to have it derailed by, “I don’t think these numbers are right.” 

A client questions whether Google Ads is inflating conversions, or a CFO insists revenue must come from the CRM. 

Suddenly, the discussion shifts from strategy to data defense.

Google Ads data doesn't match CRM data

When stakeholders don’t trust the numbers, your report loses its power. You can’t drive action on data that no one believes.

So before building a report, clarify the source of truth. 

A quick litmus test: if you said, “We generated $1 million in PPC revenue yesterday,” what system would leadership check to verify it? 

Whatever they name is your source of truth.

You may never reconcile every dataset perfectly, but alignment matters most. 

Pull numbers from that trusted system where possible, call out known gaps – like offline conversions lagging in Google Ads or modeled data in GA4 – and always identify data sources clearly. 

When your reporting reflects the system leadership trusts, you avoid endless debates about accuracy and keep the focus on decisions that move the business forward.

Dig deeper: How to deliver monthly PPC reports clients love

3. Build invisible CTAs into every section

A strong landing page drives action with a clear call to action

Without one, visitors don’t know what to do next – and conversions drop. 

Reports work the same way, only without a button to click.

That’s why I developed a framework I call “invisible CTAs.” 

An invisible CTA is the intended outcome for each section of your report – the “conversion” you want your audience to experience. 

It doesn’t appear in the report itself, but it guides how you build every chart, annotation, and insight.

Invisible CTAs examples

There are three types of invisible CTAs:

  • Do: The next step they should take based on the data – fix a landing page, approve budget reallocation, or adjust strategy to defend against a competitor.
  • Know: What happened and why, even when there’s no immediate action – a holiday promo drove a 15% spike that won’t sustain, Apple’s privacy updates reduced match rates, or a tracking glitch underreported conversions.
  • Feel: The emotional response that drives urgency or confidence – concern that a competitor is outspending you, encouragement that a new strategy is working, or worry that rankings are slipping.

Don’t shy away from negative emotions. 

When we hide problems to keep reports “positive,” stakeholders won’t commit the resources needed to fix them. 

Think of it this way: which battery icon motivates you to get off the couch and grab your charger? 

Not the full one.

Battery icon illustration

Before building any section, ask: 

  • What’s the one takeaway I want my audience to leave with? 

Then design everything – your charts, metrics, headlines, and comparisons – around that invisible CTA. 

When each section has a clear intent, your audience knows exactly what to do next, even without clicking a button.

Get the newsletter search marketers rely on.


4. Apply conversion principles to design and layout

Most PPC reports are still designed like data dumps, not decision tools.

Charts are crammed together, walls of numbers lack focus, and abbreviations or shorthand leave readers guessing.

Your audience shouldn’t have to work to understand what the data means. 

As Steve Krug explains in “Don’t Make Me Think,” good design removes friction and makes meaning obvious. 

The same principle applies to reporting.

Your reports should follow the same conversion optimization principles you’d use on a landing page: 

  • Hierarchy: Prioritize the key story. Bold the outcome. Move secondary data to callouts or appendices.
  • White space: Clutter kills comprehension. Give major insights room to breathe in their own sections or pages.
  • Contrast: Use color, weight, and position to highlight wins and risks.
  • Annotations: Mark charts with context (seasonality, tracking glitches, site changes). 

Look at how these conversion principles transform the very basic “Account Performance” chart into completely different data stories:

Conversion principles applied to design and layout

Every design choice should reduce friction, clarify meaning, and guide your audience toward the right conclusion.

5. Show results in context, not isolation

We often hope the numbers will speak for themselves – but they don’t.

“We drove $17,000 in revenue” means little unless your audience knows whether that’s above goal, below forecast, or right on target.

Without context, stakeholders don’t know how to react. 

They can’t celebrate a win if they don’t know it’s a win, and they won’t prioritize fixes if they don’t see the urgency.

Every metric in your PPC report needs a frame:

  • Benchmarks: Was performance above or below target?
  • Comparisons: How does it trend versus last month, last year, or competitors?
  • Explanations: What caused the change – seasonality, tracking issues, or market shifts?

For example, “$17,000 in revenue” becomes meaningful when you add context:

  • $17,000 is 35% above the goal of $12,600.
  • $17,000 is 11% higher than last October’s $15,300.
  • $17,000 represents nearly 25% of all-channel revenue ($70,000).

The more comparisons, percentages, and explanations you layer in, the easier it is for your audience to understand what’s really happening. 

Combine that context with conversion principles and invisible CTAs to create reporting that’s clear, credible, and built for action.

Show results in context, not isolation

Dig deeper: How to benchmark PPC competitors: The definitive guide

From data dump to decision driver

The purpose of PPC reporting is simple – to help your audience understand what happened and what to do next. 

If your reports don’t accomplish that, you’re not just wasting time. You’re leaving your readers without the clarity they need to act.

When you design reports around your audience’s needs, anchor them to a trusted source of truth, build invisible CTAs, apply conversion principles, and show results in context, you turn reporting into a decision-making tool.

Follow these steps, and your PPC report will stop being a monthly time-sink and start becoming a high-value asset that earns trust, drives action, and strengthens retention.

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Instacart brings retail media targeting to TikTok Ads Manager

Instacart today became the first retail media network to integrate directly with TikTok Ads Manager. This will allow CPG advertisers to use Instacart’s first-party retail data to target audiences, measure conversions, and drive shoppable experiences – all without leaving TikTok’s platform.

The integration marks a major step in the convergence of retail media and social commerce. By embedding Instacart’s targeting and closed-loop measurement capabilities into TikTok, brands can connect with high-intent consumers at the exact moment of inspiration and track their impact through purchase.

Why we care. For CPG advertisers, this partnership removes a friction point – tying social engagement directly to grocery purchases. It enables smarter audience targeting, more personalized creative, and real-time performance insights within TikTok’s ecosystem, where over 180 million monthly U.S. users can discover products.

The details. Advertisers can now:

  • Target high-intent shoppers using Instacart audience segments.
  • Power shoppable TikTok ads with grocery selection data from Instacart.
  • Measure campaign performance daily through Instacart’s closed-loop conversion data.

The bottom line. By fusing TikTok’s discovery engine with Instacart’s retail data, advertisers can now bridge the gap between inspiration and purchase – turning TikTok engagement into measurable sales with unprecedented precision.

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Microsoft taps Amazon DSP as preferred partner

Microsoft

Microsoft is officially winding down its DSP, Microsoft Invest, and naming Amazon DSP as its preferred transition partner – a move that deepens ties between the two tech giants and reshapes Microsoft’s advertising strategy.

Starting Feb. 28, 2026, Microsoft will sunset Microsoft Invest as it shifts focus to its core advertising products: Microsoft Advertising Platform, Monetize, and Curate. The company says the partnership with Amazon DSP will ensure advertisers experience a smooth transition and continue achieving performance goals.

Why we care. Microsoft’s move to sunset its DSP and align with Amazon DSP means advertisers who use Microsoft Invest, will need to migrate campaigns, data, and workflows – but in return, they’ll gain access to Amazon’s powerful audience insights, premium inventory, and stronger performance capabilities across both Amazon and Microsoft ecosystems.

The details. Microsoft Monetize will also join Amazon Ads’ Certified Supply Exchange program, enabling Amazon DSP advertisers to access premium Microsoft inventory and curated deals that combine Amazon shopping insights with Monetize’s supply. Publishers using Microsoft Monetize gain expanded access to high-quality demand and improved monetization efficiency.

What they’re saying. Microsoft emphasized its commitment to supporting customers through the transition, calling Amazon DSP a “natural fit” for advertisers seeking scale, performance, and transparency.

Bottom line. As Microsoft pivots toward conversational and AI-driven advertising, this collaboration offers advertisers a seamless bridge between the two platforms.

Read more at Read More

ChatGPT becomes a platform for apps – and maybe marketing

ChatGPT marketing

OpenAI is turning ChatGPT into more than a chatbot. The company’s latest update lets users access third-party apps (e.g., Spotify, Canva, Zillow, Expedia) directly inside conversations.

Why we care. This shift could make ChatGPT a high-intent marketing channel, reaching 800 million users where they’re already engaging – in chat.

How it works. Users can call apps by name (“Figma, turn this sketch into a diagram”) or ChatGPT can suggest them automatically based on context – like surfacing Booking.com when discussing travel.

  • Apps act like actions, not separate tools, within ChatGPT’s conversational flow.
  • OpenAI calls this a step toward a “conversational operating system” – one interface where users access software and services.

What they’re saying. Nick Turley, ChatGPT’s product lead, described the goal:

  • “If we can evolve ChatGPT the right way… maybe you’ll be spending a lot of time in ChatGPT. But it won’t feel like you’re in a chatbot.”

The marketing angle. This platform play could turn ChatGPT into a valuable discovery and conversion engine for brands. Some potential upsides for marketers:

  • Massive reach: 800 million users. Apps appear at the moment of intent.
  • Contextual discovery: Brands show up naturally as users describe needs — not through search.
  • Interactive experiences: The Apps SDK supports visuals and dynamic UIs. Zillow can show listings with maps; Canva can design in chat.

What’s next. More brand integrations are coming – including Target, Uber, Peloton, and Instacart. Developers can start building now; OpenAI plans an app store and publishing reviews later this year. Apps meeting high design and functionality standards will get higher visibility.

  • OpenAI also hinted at “agentic commerce” – one-click transactions powered by AI. It already tested in-chat Etsy shopping for U.S. users and is hiring for ad tech and attribution tools.

The big picture. This evolution opens new paths to brand interaction, contextual engagement and possibly commerce – all within a single, AI-mediated interface. This gives marketers a chance to meet consumers where they act, not just where they search.

OpenAI’s announcement. Introducing apps in ChatGPT and the new Apps SDK

Read more at Read More

Google Ads tests new Labs hub for experimental features

Inside Google Ads’ AI-powered Shopping ecosystem: Performance Max, AI Max and more

Google is piloting a Labs section inside the Google Ads platform, giving advertisers a centralized place to access early-stage experiments and tools.

Why we care. Instead of quietly testing features across scattered accounts, Google appears to be consolidating experiments into a single hub, making it easier for advertisers to discover and try new features before full rollout.

Details.

  • The Labs section shows up at the bottom of the left-hand menu in select accounts.
  • Early tests include features like “missed growth opportunities,” which highlight potential campaign improvements through bid or budget adjustments.
  • Not all advertisers will have access to it.

First seen. The update was first spotted by Vojtěch Audy, PPC specialist at Na volné noze.

Read more at Read More

Google adds ROI insights to Meridian marketing mix model

Google is enhancing Meridian, its open-source Marketing Mix Model (MMM), to help marketers make smarter, more precise budget decisions.

Why we care. Understanding ROI across channels is increasingly critical. These new Meridian updates allow for a more precise understanding of what drives sales, factoring in both media spend and non-media variables like pricing and promotions.

The big picture. Here’s what’s new:

  • Non-media variables: Marketers can now include pricing, promotions, and other business levers to measure their impact on sales more accurately.
  • Channel-level contribution priors: New features let you guide the MMM with your own business knowledge, improving the relevance of insights.
  • Longer-term effects: Enhanced binomial adstock decay functions track how upper-funnel media influences purchases weeks later.
  • Optimized spending: Marginal ROI (mROI) priors help pinpoint where the next dollar delivers the highest return, using past campaign performance.

Support and community. Meridian now has 30 certified global partners and an active Discord community, offering guidance to deploy the tool effectively and translate insights into business growth.

The bottom lineThese updates aim to transform Meridian from a measurement tool to a strategic partner for budget allocation. This means Meridian can help marketers optimize spend across immediate conversions and longer-term brand impact.

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Thriving in AI search starts with SEO fundamentals

Thriving in AI search starts with SEO fundamentals

The history of search offers clues about where we’re headed in the AI era – but there’s more to learn and more to do to move forward with practical steps.

AI changes the way people search. Instead of short queries that once required digging through blended results, users can now ask complex questions and get direct answers.

Much of the work to optimize for AI, though, overlaps with what SEO professionals have been doing for years. Our community is already adapting and well-positioned to take on this shift.

This article outlines practical steps to navigate the evolving landscape.

SEO, AEO, GEO: Defining the new terms

Before diving in, it’s worth addressing the terminology. It’s still new, and no single label has fully crystallized for this AI layer on top of SEO.

Two terms have gained traction:

  • AEO (answer engine optimization), which focuses on optimizing content so it’s chosen as the answer in AI-driven results like Google’s AI Overviews.
  • GEO (generative engine optimization), which describes a broader approach across generative AI platforms.

Neither feels perfect. AEO is a bit clunky, and GEO risks confusion with geography and local search. 

Still, these are the terms currently in use. For simplicity, I’ll use GEO in this article.

Dig deeper: The origins of SEO and what they mean for GEO and AIO

How GEO extends SEO

While tools like ChatGPT are undoubtedly cool – and early adopters, myself included, are spending a lot of time tinkering – the broader story is different.

For most people, AI will matter less as a standalone tool and more through its integration into phones, web browsers, and search engines.

GEO is a new layer that sits above SEO.

Often, tools like ChatGPT will search and compile information.

These tools provide a layer of abstraction and do much of the grunt work.

They still scan the digital world and then collate that information to simplify things for the user, while search engines like Google continue to provide the best overall digital map of the world.

If traditional SEO was about matching keywords, AEO is about being the best answer – and the easiest to integrate into an AI response.

GEO: Strategic foundations 

There’s no firm consensus on GEO tactics, but most of what’s recommended is simply good SEO.

That said, tactics that lost ground in the zero-click landscape may regain utility in AI Mode, where the AI does the deep dive and collates information for users.

Here are some basic strategic foundations to put in place to set yourself up for visibility in AI tools.

1. Focus on your customers

I’ve long championed bringing traditional marketing thinking into SEO, and GEO is the natural evolution of that approach.

Know your audience. Create personas, gather feedback, and define their goals, pain points, and the jobs they rely on your product or service to support.

Customer insight is key to building a customer-first strategy that helps you stand out in the age of AI.

2. Real expertise wins

The web is full of derivative content that does little to stand out. This creates a problem for AI. 

Model collapse happens when AI keeps training on AI-generated content without new signals, leading to increasingly stale and inaccurate results.

The solution is what humans are still best at – fresh insights from: 

  • Interviews.
  • Original research.
  • Proprietary data

These provide AI with something new – and worth citing.

That’s an opportunity. Have a voice, and bring something original to the table.

Frameworks like the Value Proposition Framework and SCAMPER can also support your SEO content marketing process here. 

3. Branding is key

Homepage traffic is up as a result of mentions in AI tools.

Recent studies show engagement from AI-driven traffic may even surpass organic, long the gold standard for user engagement.

Make sure your branding is strong. 

Create unique names for your products and services so they’re easy to reference in AI tools and simple for users to search.

Get the newsletter search marketers rely on.


4. Your website is important

Your website remains critical in the age of AI.

Anything you publish will likely drive brand searches and send people to your site. 

Structure it so visitors landing on your homepage can quickly explore and find more detail.

Dive into your customers’ wants, needs, and pain points – and answer the questions that matter most to them.

The ALCHEMY website planning framework can help guide this work.

5. Conversational content works

Think beyond static blog posts. Consider:

  • FAQs that are detailed and rooted in customer insight.
  • Step-by-step explainers.
  • Long-form guides that anticipate follow-up questions.

Structure your content to cover all your customers’ questions and concerns. 

Remember, many will turn to AI to learn more about you.

6. Beyond Google

Gen Z already uses TikTok and Instagram as search engines. 

YouTube remains the second-biggest search platform globally. 

AI-powered tools are simply the next step in the ongoing fragmentation of upper-funnel discovery.

Your approach should be to diversify your content so it surfaces wherever people look:

  • Your own website.
  • Third-party sites and industry publications.
  • Social platforms like TikTok and Instagram.
  • Search engines such as Google and Perplexity.
  • Video and professional platforms like YouTube and LinkedIn.

Think of modern AI SEO as search everywhere optimization.

Dig deeper: What’s next for SEO in the generative AI era

What to do next: Practical steps for marketers

AI is helping people research and make purchase decisions. Your role is to be part of the discussion.

Modern SEOs are in good shape – much of what AI requires builds on the strategic SEO work we already do.

Add in some PR, social media, and content creation (which often sit under the SEO umbrella), and you’re well on your way to a functional GEO strategy.

Getting started is crucial. To stay ahead:

  • Create content worth quoting: Write the piece an AI (or a human journalist) would want to reference. That means clear answers, evidence, original insights, and a point of view – not filler.
  • Anticipate the full conversation: Don’t just answer the first question – answer the follow-ups, too. If someone asks, “How does AI change SEO?” they’ll also want to know, “What should I do about it?” Build that into your content.
  • Structure for machines and humans: Use headings, lists, FAQs, and concise summaries to help AI parse your work. But don’t forget the narrative depth that keeps people reading.
  • Diversify your discovery footprint: Don’t rely on Google alone. Research your audience, understand their hangouts, and publish in the formats and places where they ask questions today: LinkedIn, YouTube, podcasts,and industry forums. AI tools crawl all of it.
  • Focus on authority signals: Show the human behind the content. Add author bios, cite sources, and link to your work elsewhere. AI engines, like search engines before them, lean on trust and authority.
  • Experiment, measure, refine: Try different formats, test and measure how your content shows up in AI summaries, track brand mentions, and adapt. SEO has always been iterative – this new era is no different.

The opportunity in the chaos

As SEO evolves into GEO – or whatever it may end up being called – this really is the best approach.

There’s no doubt a lot of change is happening. 

But much of it is part of the same gradual evolution we’ve seen before, where clicks declined and Google started answering questions directly.

AI now makes it even easier for customers to find the information they’re looking for. 

They may not read it on your site – at least not initially – but the AI will, and that’s the point.

Another strength we have as SEOs is that change is constant. 

If you’ve been in SEO for any length of time, you’ve lived through Panda, Penguin, Mobilegeddon, BERT, helpful content updates – the list is long (and may cause PTSD for many of us).

The key is to treat this as the next evolution. AI is being integrated into search, and it will likely become the way the masses adopt the technology.

Don’t see this as the death of SEO. 

Instead, view SEO and AI (or GEO/AEO, etc.) as close, contributing partners, and evolve your plan to match the changing landscape.

Your job as a marketer is to feed these tools the information they need to point customers to you and your clients.

This shift will likely mean fewer short-term manipulations and tactical opportunities – but better results for businesses that do the basics well. 

At its core, good SEO/GEO is just good marketing: understanding your customers, meeting their needs, and communicating clearly.

Amid the chaos lies opportunity. For those willing to embrace the challenge, experiment with new tools, and keep going.

That’s what we’ve always done as SEOs, which is why we’re best positioned to embrace this new world.

Dig deeper: SEO at a crossroads: 9 experts on how AI is changing everything

Read more at Read More