Google Ads links web + app campaigns with new features

How to write high-performing Google Ads copy with generative AI

Google is rolling out new tools in Google Ads designed to unify web and app advertising, making it easier for marketers to deliver consistent customer journeys and measure performance across platforms.

What’s new

  • Web to App Connect expansion: You can now send YouTube, Hotel, and Demand Gen ad clicks directly to apps – extending the feature beyond Performance Max, Search, and Shopping campaigns. Google says brands using Web to App Connect on YouTube have seen 2x higher conversion rates.
  • Unified workflows:
    • In-product nudges now help you optimize toward in-app events.
  • Unified conversions bundle app and web events for easier setup.
  • A new combined overview card shows side-by-side web and app performance directly on the Ads homepage.
  • App install measurement from web campaigns: For the first time, Search and Shopping campaigns can be credited with driving new app installs and in-app conversions.

Why we care. Managing campaigns across websites and apps has long been a pain point. Customers often bounce between platforms before converting, and disconnected reporting makes it difficult to see what’s working. These updates could help you tighten your funnel, reduce wasted spend, and create app-first strategies that unlock higher ROI.

The big picture. By connecting web and app activity inside Google Ads, you can:

  • Attract high-value customers: Push users into apps, where they’re more likely to engage and convert.
  • Streamline campaigns: Target and optimize across web + app without juggling separate workflows.
  • See the full funnel: Attribute installs and conversions to web campaigns for a more accurate performance picture.

What’s next. With unified reporting, it’ll be easier to spot which touchpoints drive the most value – but it may also expose underperforming spend. Expect brands to test more app-first journeys, especially in categories like retail, travel, and subscription services, where in-app conversions typically outperform the web.

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Google’s Danny Sullivan: ‘Good SEO is good GEO’

Google's Danny Sullivan keynoting at WordCamp US

“Good SEO is good GEO.” That’s according to Google’s Danny Sullivan, a director within Google Search, and former search liaison

  • Generative engine optimization (or whatever the new acronym is for optimizing for AI search experiences) is the same core work SEOs have always done: creating unique, valuable content for people and providing a great page experience, he said.
  • This echoes Google’s Gary Illyes advice from July – that all you need to do is normal SEO.

Why we care. You can believe Google if you want. But we’ve tried to consistently say that we believe GEO is an emerging practice. That doesn’t mean it replaces SEO today or tomorrow – because SEO fundamentals matter and SEO is still not dead. But I also agree with Michael King’s assessment that SEO is deprecated. The future of Google and conversational AI search will be answers, not ranking, regardless of what Googlers say publicly today.

What he’s saying. Here’s some of what Sullivan said about SEO/GEO during his keynote at WordCamp US on Aug. 28:

  • “…If you don’t know what GEO is, it’s like the latest acronym, but like I can’t keep track each day. There’s a different one. But SEO, search engine optimization; GEO, generative engine optimization.
  • By the way, if you could dig it out when I was like in 2010, back when people were panicking then, I was like, you know, SEO doesn’t mean you get into the blue links on Google. SEO means you understand how people search for content and then you understand how to have your content there. And it could be everything from people asking a question to a voice device to people just opening up something on their phone or whatever.
  • So, the basic things have not changed. Good SEO is good GEO, or AEO, AIO, LLM SEO, or LMNOPO. So, they’re all fine. What I’m trying to say is don’t panic. What you’ve been doing for search engines generally, and you may have thought of as SEO, is still perfectly fine and is still the things that you should be doing. … Good SEO is really having good content for people.
  • … Are you saying write things in a clear way that people can understand? Cool. Like that’s just for people. All right.
  • Are you saying write about things that are unique or interesting? Cool. That’s good for people. And all we [Google] try to do is understand how our signals can align with things that are good for people.”

CTR question. During the audience Q&A, blogger Angie Drake said her organic search click-through rate has plummeted since AI Overviews launched, even though impressions are up (known as the great decouoling of search). She asked Sullivan what Google will do to compensate publishers who are losing clicks. Sullivan’s response:

  • Google has been unapologetic about zero-click factual answers (e.g., “What time is the Super Bowl?”) because users expect direct facts.
  • Google is committed to rewarding unique, valuable content and supporting the open web.
  • He said there will be “bumps along the way,” that feedback is heard within Google, and “it’s still part of what we’re going to be figuring out.”

Other takeaways. Some other data Sullivan shared:

  • Google AI Overviews have led to a 10% increase in searches in the U.S. and India.
  • Google does “up to 5,000 launches” (a.k.a., updates) per year. The last figure we had was 4,725, so not much has changed since 2022.

The keynote. Here is the full video. I’ve linked to the takeaways portion of Sullivan’s presentation, where he discusses GEO. Drake asks her CTR question starting at 45:06.

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Google Ads select location assets using Google Maps

Google Ads now lets you select your business(es) by searching Google Maps for location assets / extensions. This addition should make it easier to manage existing and new location assets for your Google Ads campaigns.

More details. This change was spotted by Greg Kohler who posted a screenshot of the change on X and wrote:

“New (easier) way to add location assets (extensions) to your Google Ads campaigns – now you can search and select your business using Google Map.”

Joe Youngblood praised this change on X, saying:

“One of the single most agonizing parts of building out a new campaign or taking over an old account. This looks like it will fix it!”

Screenshot. Here is that screenshot:

More details. Google Ads has a help document that explains how to use it. It says:

If neither Google Business Profile nor Chain stores work for you, you can select up to 10 locations from Google Maps to link with your Ads account. These Google Maps locations must be yours, or they may be disapproved.

  • Go to Location manager within the Tool menu, under the Shared library.
  • Select the plus button, and choose “Our locations”.
  • Select Continue.
  • You can enter the physical address or a key phrase to search your locations and your wish to link with your Ads account. You may repeat the process to add up to 10 locations.
  • Select Continue.

No matter which location source you use when creating location assets, you can customize your locations further at the campaign or ad group level. You can choose to add all account-level locations, use just a subset of account-level locations using Location groups, or choose “No location asset” to keep the asset from showing for specific campaigns or ad groups.

Why we care. This can help you manage location assets for both existing and new campaigns. This seems like a big time saver for many advertisers who use Google Ads.

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Google Ads enhances campaign filters with new checkboxes

Google has a new subtle but powerful feature in the Google Ads advertiser console to help you manage your campaigns. New checkboxes are available to let you select the campaigns you want and filter the view to only show those campaigns.

Previously, you were only able to select one campaign at a time, but now you can select multiple campaigns.

What it looks like. Here is the full screenshot from Thomas Eccel who posted the screenshot on LinkedIn:

Why we care. This new checkbox allows you to manually filter by more than one campaign at a time, allowing you to apply and manage your campaigns more efficiently. You can compare multiple campaign performance at the same time and save a huge amount of time when reporting, comparing, or managing these campaigns.

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Google AI Mode model improved for complex STEM questions, says Google

Google AI Mode got an upgrade to its large language models that enhances its ability to answer complex STEM questions. Plus, the responses should be “tighter, easier to scan and get to the point up front before elaborating,” Robby Stein, Google’s VP of Product at Google Search wrote.

This comes in time for the upcoming school year, with many kids starting school this week and some already starting a few weeks ago.

What Google said. Robby Stein posted on X:

Very excited about this week’s AI Mode model update. We’re seeing big improvements for complex STEM questions– great for students heading back to school. Overall responses should also be tighter, easier to scan and get to the point up front before elaborating.

Srini Venkatachary, VP of Engineering at Google DeepMind, responded:

Really excited with this strong update in time for school year. Please send us your feedback.

Nick Fox, SVP, Knowledge & Information at Google, wrote on X:

AI Mode continues to ship & ship fast! This past week, we released a big under-the-hood upgrade to the model capabilities leading to much improved responses. Excited for you to see and feel the difference

Why we care. Google recently expanded AI Mode to 180 countries and territories and now more and more searchers have access to it. Google will continue to improve its models, with the aim of making AI Mode and its AI responses better.

Here is the latest improvement for AI Mode that Google has announced.

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GEO and SEO: How to invest your time and efforts wisely

GEO and SEO- How to invest your time and efforts wisely

Generative engine optimization (GEO) is the new kid on the block, the hot topic. 

SEO professionals and stakeholders want to know: How much should I invest in it in a world where the people writing the checks are a bit skeptical? 

In the world of large language models (LLMs) in 2025, that’s a complicated question. 

This article breaks down why by covering:

  • How LLMs like OpenAI and Gemini currently use search engines.
  • What search marketers should assume about where AI is heading.
  • The types of executional work that align with GEO.
  • What all of this means for prioritization and investment.

How LLMs stay current: Grounding and RAG

One of the fundamental challenges for the creators of LLMs (LLMs) like OpenAI or Claude is timeliness.

Their training data is static, locked to a specific cutoff date. 

For example, the GPT-5 model’s knowledge cutoff is Sept. 30, 2024.

It’s more recent than GPT-4o’s cutoff of Oct. 1, 2023, but still not up to the present day.

Updating that training data is extremely costly, and it’s increasingly under public scrutiny – both for the resource-intensive nature of the process and the potential copyright issues it raises. 

In my view, these large-scale training updates are becoming less and less likely over time.

GPT-5 knowledge cutoff

So how do OpenAI, Claude, or Gemini keep their answers current? 

They use retrieval-augmented generation (RAG), where the model enriches its responses by effectively “browsing” the web. ChatGPT relies on Bing, while Gemini draws from Google. 

(There are signs Gemini doesn’t always use live results, but rather cached ones – that’s a whole other article, and one Dan Petrovic has already written smartly about.)

Grounding is a similar concept here, so for this article, we’ll treat it as the same “timely” method, even though there are important nuances in implementation.

What does this mean for SEOs and digital marketers deciding how much to invest in GEO?

Quite simply: we still need to prioritize traditional SEO first. RAG is a limited resource, and research shows: 

It’s also important to note: when ChatGPT cites your brand, it doesn’t just pull from your website. It pulls from sources across the web.

The bottom line: you still need to master traditional SEO fundamentals to rank in LLM-driven search. 

If you don’t have the authority to break into the Top 20 results, plus a diversified outreach strategy for press mentions and brand visibility, it will be much harder to surface in generative search.

Dig deeper: SEO vs. GEO: What’s different? What’s the same?

Thinking long term

As a low-risk, forward-looking, brand-focused SEO, you must plan for a future where generative search dominates, driving most traffic and revenue.

At that point, we must assume our websites and digital properties function primarily as enriched data feeds for LLMs. 

It’s also critical to clearly define our brand for both Google and Bing, as strong, unambiguous entity signals will only grow in importance.

Optimizing your data infrastructure and strengthening brand signals – through consistent press mentions, directory listings, and owned media – are essential but resource-intensive tasks. 

They demand coordination across departments that rarely collaborate and often require dismantling entrenched processes.

Because many businesses hesitate to make these foundational changes, you’ll need to account for the time required to execute the work and the time required to gain stakeholder alignment.

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Execution: Technical and brand

The work required to make your website as LLM-friendly as possible falls into two main buckets: technical and brand.

Technical tasks

Implementing thorough schema markup

This is a contentious topic. 

LLMs don’t directly use schema markup in their training data (it’s stripped), and in their RAG process, everything is tokenized and likely broken into n-grams. 

I’m not suggesting schema markup is a direct way to influence visibility in LLMs.

It’s a vehicle for helping Google and Bing understand:

  • Your website.
  • Its relationships.
  • Its products. 

This builds your brand and search engines’ recognition of it, which should improve your visibility in results.

Technical copywriting

On navigational pages – like product collection pages or company listing pages if you’re a marketplace – create technical copy (done via AI with smart prompting if you’re working at scale) that summarizes the available resources.

For example: 

  • “Our stationery includes 5 A5 dotted journals, 2 N1 blank journals, 25 stickers featuring animals, 4 stickers with curse words (all vinyl for weatherproofing and waterproofing), and 1 lapel pin.”

Notice how direct and technical this is. The clear formatting ties back to dependency hops in natural language processing.

XML sitemaps

A spring cleaning task. 

Your XML feeds should be 100% to spec:

  • No 404s.
  • No 301s.
  • No more than 5,000 URLs per sitemap.
  • All recommended fields in place. 

I’m calling it out specifically because it’s one of the most direct ways for search engines and other bots to see and navigate the full scope of your website.

JavaScript fallbacks

This has always been important but has fallen by the wayside in recent years. 

Training data for LLMs is static HTML. For the most part, they don’t render JavaScript. 

Make sure to have functional JavaScript fallbacks.

Address technical debt

This will depend on your organization. It could mean:

  • Having a clear product sunsetting process.
  • Updating the codebase.
  • Removing the ghost codebase still sitting on your site from eight years ago that everyone built on top of rather than deleting. 
  • Migrating from an SPA to a more search-friendly framework.
  • Removing deprecated scripts.
  • Auditing third-party tags to ensure they’re up to date and still in use. 

All of these impact performance.

The technical strength and response time of your website will only grow more important.

Every piece of tech debt is an opportunity to improve.

Dig deeper: A technical SEO blueprint for GEO: Optimize for AI-powered search

Brand tasks

Brand tasks would include things like: 

  • Creating consistent brand descriptions and implementing them across all platforms.
  • Updating your About page to have as much relevant information as possible, such as:
    • Founding timeline.
    • Founders and leadership profiles.
    • Corporate social responsibility initiatives.
    • Partners.
    • Supply chain.
    • Your unique selling proposition.
    • Press mentions.
    • Awards and other social proof.
    • Testimonials.
    • A contact form. 
  • Claiming your Google Knowledge Panel (or monitoring it until it becomes available, then claiming it).
  • Planning regular press mentions, doing outreach yourself, or working with a PR company to make it happen.
  • Claiming and optimizing your Google Business Profile if you’re a local business.
  • Submitting your company for a Wikipedia page once you’ve built enough notability.

Dig deeper: In GEO, brand mentions do what links alone can’t

Making smart investments in SEO and GEO

If there’s only one takeaway, it’s this: keep investing the majority of your time and budget in traditional SEO, while dedicating a smaller portion to technical and brand tasks like those outlined above.

Look closely at the 1-5% improvements you’ve been putting off – things like:

  • Correcting the HTML heading hierarchy to match the site’s visual hierarchy.
  • Fixing internal links so they point directly to final URLs instead of redirect chains.
  • Cleaning up your XML sitemap.
  • Removing deprecated libraries and unused WOFF files. 

This “spring cleaning” and tech debt cleanup should be a priority. 

Add in the brand work as well, since it strengthens traditional search today and also lays the groundwork for an LLM-led search future.

If you don’t already have regular reporting in place for stakeholders and leadership, create it now. 

There’s a perception that large language models are evolving rapidly and changing everything at once. 

That isn’t entirely true – but we do need to plan. 

Establishing a cadence of reporting and education means that when real shifts do happen, your stakeholders will already be aligned and ready to support the work.

Finally, treat GEO/AI optimization as roughly 20% work

This means building systemic schema layers across your organization and creating structured connections in the machine’s native language – code. 

Start with:

  • Conversations.
  • Proofs of concept.
  • Pilot implementations. 

Done properly, this work should have no negative impact on your business metrics, and it builds support for more holistic optimization over time.

Going all in on LLM-specific tactics isn’t the best use of your resources today. 

Instead, treat it as complementary work – something that strengthens your technical and brand foundation while preparing you for a future where generative search plays a central role.

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Looking beyond AI: 9 marketing principles that will always matter

Concept of timeless principles

AI has fundamentally changed how people search and engage with information online. 

Features like AI Overviews may boost visibility, but they’ve also reduced clicks, leaving many websites with less traffic despite stronger rankings. 

Discovery no longer happens in just one place. 

It’s fragmented across search engines, social platforms, paid ads, and AI tools, creating a complex user journey that’s harder than ever to track.

As behavior shifts with these new technologies, search marketing is evolving in response. 

Yet while the platforms, tools, and touchpoints keep changing, the core principles of effective marketing remain the same. 

Marketers who stay grounded in these fundamentals will be best equipped to adapt and grow.

Here are nine timeless marketing principles that will hold steady – no matter how search evolves.

1. Focusing on search intent: Why people search 

Where people search and find information will continue to change over time as preferences for LLMs, social media, or video content shape where people go for answers. 

However, what remains constant is search intent

Users are always looking to:

  • Learn about something.
  • Navigate to brands they know.
  • Compare and evaluate different options.
  • Purchase or convert. 

Focus on the why behind a search – the intent driving it. 

The key question is whether your content aligns with that intent. 

If it doesn’t, you’re overlooking a critical driver of user behavior. 

When content matches search intent, users immediately recognize its value and engage, which is why intent should remain central to your marketing strategy.

2. The lasting value of brand recognition and loyalty

Even as AI continues to drive change in how companies reach their audiences, brand recognition and loyalty remain important pillars of long-term engagement and growth.

Discovery channels are shifting as people find brands through social media, search engines, paid ads, email, and more.

That’s why it’s important to continually reassess the customer journey and understand where your audience is finding you.

After discovery, your job is to highlight your unique value – what sets you apart from competitors and how you provide real value to your audience. 

Keep asking yourself:

  • Why should someone choose my brand?
  • What makes us stand out?

The clearer and more consistently you communicate this in the spaces that matter, the more you’ll earn trust, recognition, and reliability – all of which shape how people respond to your brand.

Brand loyalty isn’t automatic. It’s something you earn by building real relationships with your customers and consistently providing value. 

Loyalty creates long-term stability and growth, even as platforms and algorithms continue to shift. 

While search intent and brand recognition can attract new visitors, loyalty turns impressions into conversions and builds lasting customer lifetime value.

3. Knowing and understanding your audience

Beyond search intent and branding, truly knowing your audience is essential for long-term marketing success. 

Without that insight, you risk falling into “spray and pray” campaigns that waste resources and fail to connect.

Building clear audience personas helps you decide not just what campaigns and content to create, but how to present them in ways that resonate. 

That means understanding who your audience is, what motivates them, their pain points, their values, and where they spend their time. 

These insights form the foundation of a strategy built to genuinely connect with your audience.

Dig deeper: SEO personas for AI search: How to go beyond static profiles

4. Trustworthiness is currency

Even if your content matches search intent and your brand is well recognized, audiences won’t engage without credibility. 

This matters even more today, as AI tools summarize information and highlight only the most trustworthy sources. 

Both search engines and AI prioritize trust signals. But for users, those signals are everything.

Expertise, consistency, transparency, and reliability are what build that trust. 

People want to feel confident that your brand will deliver on its promises and provide lasting value. 

When they believe you’re dependable, they’re more likely to engage, return, and recommend your brand to others.

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5. Customer service and experience drive perception

Today, customer service is inseparable from brand experience. 

Every interaction – whether answering a support ticket or replying to a social media comment – shapes how people perceive your credibility and value.

Testimonials and reviews create a powerful feedback loop: one story sparks another, influencing how others view your brand. 

Campaigns can drive visibility, but audiences still turn to peer reviews on platforms like Reddit to validate those impressions and decide whether to trust you.

Audience sentiment has become its own form of publicity. 

With user-generated content (UGC) shaping perception and AI systems relying on reviews and sentiment signals to recommend brands, customer experience is now a direct driver of both reputation and visibility.

Dig deeper: How to use SEO and CX for better organic performance

6. Good user experience supports conversions

A core principle that hasn’t changed is the need for an optimized user experience. 

When someone lands on your site, the page should minimize friction in the buying journey. 

Whether visitors arrive through ads or organic search, they need clear conversion paths that guide them smoothly forward.

Audiences expect ease and clarity when looking for information or taking action. 

Slow load times, unnecessary clicks, or confusing layouts increase drop-offs, abandoned forms, and carts – leaving users frustrated.

A good user experience makes the journey to conversion as effortless as possible. 

Done well, it not only boosts conversions but also builds satisfaction and trust.

7. Mobile-first experiences: Meeting users where they are 

AI may be transforming how people search, but mobile devices remain the primary way users access and engage with brands. 

For many, the first interaction with your brand happens on a phone.

That’s why user experience must extend beyond conversion paths.

It also has to be fully optimized for mobile. Otherwise, you risk frustration, lost trust, and missed conversions.

Mobile users abandon sites that load slowly, require pinching and zooming, use hard-to-tap buttons, or rely on clunky forms.

Even a few seconds of delay or disruptive layout shifts can cause drop-offs.

And because search engines prioritize mobile-friendliness, optimizing for mobile isn’t just about usability. It also directly impacts rankings and visibility.

8. Accessibility is essential

Accessibility is a core part of creating inclusive experiences for your entire audience.

In the U.S., it’s also a legal responsibility. 

Making your site accessible means adding features like:

  • Screen reader compatibility.
  • Alt text for images.
  • Strong color contrast.
  • Keyboard navigation.

If accessibility is overlooked, you risk excluding parts of your audience and facing ADA lawsuits.

But when you design with accessibility in mind, you reach more people, strengthen trust, and ensure everyone can engage with your brand.

9. Quality content and authority still define success

No matter how search evolves, quality content and authority remain the foundation of visibility and trust. 

Algorithms may shift and discovery channels may change, but users will always value content that is accurate, relevant, and genuinely helpful.

Authority is earned over time by:

  • Consistently publishing original, reliable content.
  • Being cited by other trusted sources. 

The more credibility your brand builds, the more likely users (and search engines) are to consider you a worthwhile recommendation.

Dig deeper: Mastering content quality: The ultimate guide

Marketing that lasts beyond AI

AI is transforming how people search and how brands reach them, but the fundamentals of marketing haven’t changed. 

What still matters is:

  • Understanding intent.
  • Knowing your audience.
  • Meeting them where they are.
  • Building trust and loyalty.
  • Delivering real value.

Technology and platforms will keep evolving. 

But the brands that stay grounded in these timeless principles will be the ones that adapt, grow, and thrive in the future.

Read more at Read More

Google AI, ChatGPT rarely agree on brand recommendations: Data

Google AI ChatGBT recommendations

Google’s AI Overviews and AI Mode and OpenAI’s ChatGPT often give consumers different brand recommendations – a potential warning sign for marketers chasing AI visibility – according to a new BrightEdge analysis.

The big picture. ChatGPT and Google’s AI Mode and AI Overviews disagreed on brand recommendations nearly two-thirds of the time (61.9%), according to BrightEdge’s analysis of tens of thousands of identical prompts.

By the numbers. Just 33.5% of queries included brands across all three platforms, and only 4.6% had no brands mentioned anywhere. Other key findings:

  • Google AI Overviews dominate: Google’s AI Overviews surfaced brands in 36.8% of queries, while ChatGPT led in just 3.9%.
  • Brand density: Google AI Overviews averaged 6.02 brands per query, more than 2.5x higher than ChatGPT’s 2.37 and far ahead of AI Mode’s 1.59.
  • Silence rates: ChatGPT offered no brand mentions in 43.4% of queries. Google AI Mode stayed silent 46.8% of the time, compared to just 9.1% for AIO.

The citation paradox. The study also uncovered stark differences in citation behavior:

  • ChatGPT mentions more than it cites, with 3.2x more brand mentions (2.37) than citations (0.73).
  • Google AI Overviews cites far more than it mentions (14.30 citations vs. 6.02 mentions).
  • Google AI Mode shows an even bigger gap — 6x more citations than mentions (9.49 vs. 1.59).

This data may suggest that ChatGPT’s responses lean heavily on its training patterns, while Google emphasizes visible source attribution.

Where platforms align. The rare moments of brand alignment depended on query intent:

  • Compare queries: 80% same-brand agreement.
  • Buy queries: 62%.
  • Where queries: 38%.
  • Best queries: 23%.

Industry breakdown. Disagreement rates also varied by sector:

  • Healthcare: 68.5%
  • Education: 62.1%
  • B2B Tech: 61.7%
  • Finance: 57.9%
  • Ecommerce: 57.1% (lowest)

Why we care. For brands, these findings highlight a volatile AI landscape where visibility is far from guaranteed – and often inconsistent. As BrightEdge notes, the fragmentation creates “massive untapped visibility opportunities” for companies optimizing for generative search.

The report. ChatGPT vs Google AI: 62% Brand Recommendation Disagreement

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Google Ads adds loyalty features to boost shopper retention

Google Shopping Ads - Google Ads

Google is rolling out new loyalty integrations across Google Ads and Merchant Center, giving retailers tools to highlight member-only pricing and shipping benefits to their most valuable customers.

How it works:

  • Personalized annotations display member-only discounts or shipping benefits in both free and paid listings.
  • A new loyalty goal in Google Ads helps retailers optimize budgets toward high-value shoppers, adjusting bids to prioritize lifetime value.
  • Sephora US saw a 20% lift in CTR by surfacing loyalty-tier discounts in personalized ads.

Why we care. With 61% of U.S. adults saying tailored loyalty programs are the most compelling part of a personalized shopping experience (according to Google), retailers face pressure to prove value beyond discounts.

By surfacing member-only perks directly in search and shopping results, retailers can boost engagement from their most valuable customers and optimize spend toward higher lifetime value, not just single conversions. It’s a way to tie loyalty programs directly to ad performance — and win more share of wallet from existing shoppers.

The big picture. Loyalty features are Google’s latest move to keep retail advertisers invested in its ecosystem — positioning search and shopping as not just discovery channels, but retention engines. Expect more details at Google’s Think Retail event on Sept. 10.

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AI tool adoption jumps to 38%, but 95% still rely on search engines

AI tools vs traditional search

More than 1 in 5 Americans now use AI tools heavily – but traditional search engines remain dominant, with usage holding steady at 95%, according to new clickstream data from Datos and SparkToro.

By the numbers:

  • AI tools: 21% of U.S. users access AI tools like ChatGPT, Claude, Gemini, Copilot, Perplexity, and Deepseek 10+ times per month. Overall adoption has jumped from 8% in 2023 to 38% in 2025.
  • Search engines: 95% of Americans still use Google, Bing, Yahoo, or DuckDuckGo monthly, with 87% considered heavy Google users – up from 84% in 2023.
  • Growth trends: AI adoption is slowing. Since September 2024, no month has shown more than 1.1x growth. By contrast, search volume per user has slightly increased year-over-year.

The big picture: Despite the hype around AI replacing Google, the data seems to show the opposite. When people adopt AI tools, their Google searches also rise, SparkToro found.

Yes, but. Are there any truly “traditional search engines” left? Things get a bit messy when talking about “traditional search engines” versus the “AI tools” examined here, because all search engines now have AI baked in:

  • Google is a traditional search engine (or, perhaps more accurately, an AI search engine with a legacy search experience that’s clearly moving in the direction of AI Overviews and AI Mode), and Gemini is Google’s AI tool. Plus, Google’s traditional search data is being used by ChatGPT.
  • Traditional search engine Bing has its own AI tool, Copilot, and is OpenAI’s partner for ChatGPT Search, and feeds DuckDuckGo’s results.

Why we care. This data once again indicates that it isn’t AI vs. search; it’s AI plus search. Heavy AI users are also heavy searchers, meaning Google traffic declines are more about zero-click answers than AI cannibalization.

The report. New Research: 20% of Americans use AI tools 10X+/month, but growth is slowing and traditional search hasn’t dipped

Read more at Read More