Tag Archive for: Google AI

Google Says You Don’t Need Special SEO For AI Overviews

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While AI overviews upend much of how we look for information online, marketers have been split on how to respond. Some say that traditional SEO is all that is necessary to get your site cited by Google’s AI overviews, while others have been arguing that a new “SEO for AI” is needed. Now, Google has weighed in. 

During a talk at Search Central Live, Google’s Gary Illyes, told attendees that AI search tools don’t mean marketers need to use a new type of optimization and that standard SEO practices are all that is needed to be included in Google’s AI overviews and AI mode. 

While we were not present at the event, Google Search Advocate Kenichi Suzuki shared a detailed overview of what Gary Illyes discussed, including three main focus areas: 

  1. AI uses traditional SEO infrastructure and signals.
  2. Content quality matters, but so does authenticity
  3. Google has used AI in its traditional search for a long time.

How AI Uses SEO

Illyes emphasized that Google’s AI tools rely on the same basic systems and infrastructure used elsewhere by Google, including relying on the same search signals and indexing approach. 

As Suzuki says:

“[Illyes] explicitly stated that there is no need for a new acronym or a separate discipline. The core principles of creating helpful, reliable, people-first content remain the foundation for visibility in all of search formats.”

Authenticity Matters

Gary Illyes said that while Google does not punish sites that publish content made with AI, it watches for signs of abuse, including sites that churn out tons of low-quality AI content or pages with deceptive information like fake author personas or AI-generated images presented as real. 

Suzuki summed up Illyes’s statements, saying:

“Search Quality Raters are instructed to give the lowest possible rating to any content that is deceptive. This includes creating fake author personas with AI-gen images or churning out content that simply rehashes information from other sources without adding unique value or experience.”

Google Has Been Using AI For a Long Time

Throughout his presentation, Gary repeatedly emphasized that Google’s use of AI goes back years before the current surge in generative AI tools. Specifically, Illyes pointed to Google’s MUM system as a form or predictive AI to understand the intent behind queries.

While the introduction of MUM did cause some shifts in how we approach SEO in general, it did not call for an entirely new optimization discipline, just as new generative AI tools do not require a new “SEO for AI”. 

The Takeaway

While AI is undeniably making us change some aspects of search engine optimization, it doesn’t call for your business to adopt “GEO” or “AI SEO” or any other separate approaches to optimization. 

Instead, it is essential that you adapt your current SEO strategies, focus on providing content that provides real value to readers, and develop strategies to cement your authentic authority in your field.

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Google Executives Say Falling Referral Traffic Are Sign Of Higher-Quality Clicks

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Critics accuse Google’s increasing use of AI in its search engine of taking referral traffic away from websites, but Google’s executives say the issue is a matter of quality versus quantity. 

In a recent press and Q&A event, Google’s executives argued that AI is improving the quality of search results (while largely avoiding the issue of decreasing clicks).

The session included statements from several executives, such as Jenny Cheng (Vice President and General Manager of Google’s Merchant Shopping operations), Sean Downey (President of Americas & Global Partners at Google), and Nicky Rettke (YouTube Vice President of Product Management).

Does AI Reduce Traffic To Websites?

Numerous studies have found that Google’s AI overviews have significantly reduced click-through rates to both organic and paid listings, leading to significant reductions in referral traffic. The trend has brought down CTRs for nearly every type of search, but non-branded informational searchers have been most heavily impacted since the introduction of AI overviews. 

Ahrefs, Advanced Web Ranking, Similarweb, and many others have independently verified that this trend is happening and seems to be getting worse as Google has increased how frequently it shows AI overviews. 

What Google’s Execs Have To Say

When asked about falling click-through rates in search, Google’s executives began by saying it is partially driven by an increase in follow-up searches while using AI-enhanced search. 

“What we’re seeing is people asking more questions. So they’ll ask a first question, they’ll get information, and then go and ask a different question. So they’re refining and getting more information, and then they’re making a decision of what website to go to.”

As this happens, Google seems to believe users refine exactly what they are looking for, ensuring that their clicks are more valuable. 

“When they get to a decision to click out, it’s a more highly qualified click… What we hope to see over time—and we don’t have any data to share on this—is more time spent on site, which is what we see organically in a much more highly qualified visitor for the website.”

Notably, even Google admits it cannot back up these claims with data. 

What About Ads?

While the Google executives did their best not to directly address falling referral traffic for organic content, they did claim that CTRs on ad placements are stable overall. Despite AI overviews pushing paid placements further down the page, Google says clicks remain largely unchanged. 

“When we run ads on AI overviews versus ads on standard search, we see pretty much the same level of monetization capabilities, which would indicate most factors are the same and they’re producing really the same results for advertisers to date.”

Again, however, the company declined to share any data on the issue. 

What About AI Mode?

Don’t expect anything to improve with the new wide launch of Google’s AI mode. Along with doubling down on AI features in search, this new mode, Google has made referral traffic from AI mode untrackable. 

When someone clicks through to your website from within AI mode, it is currently not being recorded in Google Search Console analytics. At best, some tools seem to be capturing when clicks occur, however, they are shown with no attribution. In most cases, however, they seem not to be registering at all. This will only serve to muddy the waters while websites deal with seeing less traffic from Google.

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Google AI Overviews Appear In 13% of Searches

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It may feel like Google’s AI overviews are appearing on practically every search you make on Google Search. New analysis, however, shows that while the number of searches that include AI may be increasing, overviews are in fewer search results than you may think. 

An analysis from Semrush indicates that AI search overviews appeared in just 13.14% of all U.S. desktop searches made in March. While that number seems low, it is a 102% increase from the 6.49% of searches that included automated overviews in January. 

AI Has a Big Impact for Being So Rarely Shown

The relatively low number of searches with AI overviews emphasizes how much of an impact AI is already having on people’s search behavior. Since they started appearing in search results, auto-generated overviews have been cited as the cause for significantly decreasing click-through rates and decreasing organic traffic from search results. 

How much of these shifts in Google search behavior is actually caused by AI is also contested by some in the industry who say falling organic traffic and CTRs are related to other changes in search or have been overstated. 

For example, the latest report indicates that although AI overviews generally have higher zero-click rates (ie, they do not lead to a click on a search result), zero-click rates have actually declined overall. This would indicate that the search feature does not necessarily contribute to more zero-click searches. 

AI Overviews are More Likely For Specific Types of Searches

According to Semrush’s analysis of over 10 million keywords, AI search overviews were most likely to appear in searches for fact-based and uncontroversial content. However, there are signs that Google is also expanding AI to other, more competitive types of searches. 

Here’s a breakdown of where AI overviews appeared:

  • 88.1% of overviews appeared on informational searches
  • 8.69% of overviews appeared in commercial searches (up from 6.28%)
  • 1.43% of overviews were included in navigational queries

The report also identified 5 industries that were most likely to trigger overviews in search:

  • Science (up 22.3%)
  • Health (up 20.3%)
  • People & Society (up 18.8%)
  • Law & Government (up 15.2%)
  • Travel (up 14.3%)

For more, read the full report from Semrush here. 

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AI Overviews Are Coming To YouTube In New Test

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Google is bringing its AI overviews to its sister platform, YouTube. 

In an announcement, the company said it was testing showing AI overviews similar to those already seen in Google search results. These overviews will choose the most relevant clips from videos it believes are relevant to a search.

How Will This Impact YouTube Click-Through Rates

Despite seemingly trying to avoid the issue during a recent earnings call, Google can’t hide that its AI overviews are reducing click-through rates in search results and sending less traffic to other websites. 

With this in mind, it is reasonable to be concerned that YouTube is similarly pulling users away from fully watching videos from creators in a way that may reduce viewership and revenue to content creators.

What To Expect From YouTube AI Overviews

For the current test, only a small group of U.S. YouTube premium features will be eligible to see AI overviews for English-language search results. 

When searching, these users will be shown a collection of relevant videos and highlighted clips that it believes are most relevant. The clips will be shown in a carousel within the search results, letting users quickly browse the selection. 

For now, YouTube is using AI overviews on two specific types of searches:

  • Product research (such as users looking for info about the best noise-cancelling headphones)
  • Travel and local discovery (for example, when users search for information about museums to visit in a specific city)

Throughout the test, YouTube says it will be collecting user feedback which it will use to determine whether to expand this feature to more users. 

For more, you can read the announcement for AI overviews on YouTube here.

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Google Ads Exec Talks AI and Major Developments Coming in 2025

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According to Brendon Kraham, the vice president of global search ads and commerce, Google Ads is gearing up for an AI-led “seismic shift” in how people use the internet. 

In an interview with MediaPost, Kraham recently discussed Google Ads’ plans for 2025 including how it plans to adapt to the growing integration of AI in nearly every facet of technology. 

Why AI Is The Focus In 2025

Kraham says we are in the middle of a transformation in discovering information and interacting with businesses that is even bigger than the mobile revolution. 

As he said:

“We’re in the midst of a massive shift toward AI, and frankly, it’s even bigger than the mobile revolution was. It’s about using AI to fundamentally improve how people search for information and connect with businesses.”

Google has to adapt to this on multiple fronts.

“For users, this means getting better answers to their questions, whether they’re simple or complex. From a business perspective, this AI-powered approach is going to drive a significantly better ROI for advertisers.”

How Kraham Sees 2025

When asked about his predictions for the new year, Kraham lays out three main areas that Google is focused on moving forward.

The evolution of search behavior beyond traditional keywords

“This means moving beyond simple keywords and embracing a multimodal search landscape where visuals, context, and even our surroundings play a crucial role in how we find what we need. For marketers, this means adapting to a more nuanced understanding of consumer behavior, where capturing attention and fostering genuine engagement will be paramount.”

The development of AI-powered creative tools for marketers

“This new era of search and ads means we will witness a surge in marketers embracing AI-powered tools — not to replace their creative spark, but to amplify it. Imagine personalized creative solutions that scale effortlessly, unlocking new avenues for expression and delivering measurable results.”

Integrating enhanced measurement capabilities across all digital channels

“Third, in 2025, measurement will be everything. Marketers will need to get laser-focused on their data, figuring out how to connect the dots as users move between searching, streaming, scrolling, and all those different ways of interacting online.”

Google has already been aggressively pursuing the development of AI tools in every area of its platform. Kraham indicates this is only going to accelerate further in the coming year, with new AI developments coming for Performance Max ads, Demand Gen ads, and Google Search products.

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Google’s CEO Gives Wide-Ranging Interview On The Future of Google and Search

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In a wide-ranging interview with The New York Times, Google CEO Sundar Pichai said he expects that search will “change profoundly” in 2025 led by advancements in AI and increasing competition from AI search, social media, and hardware advancements. 

Below, we’ve collected highlights from the interview that may give us a peak at Google’s plans for 2025 and beyond.

Google Aims To Be a Leader With AI Development

When asked about where Google is today in comparison to the rest of the market, Pichai emphasized that the company is in the early stages of developing radically powerful new AI tools. Additionally, he emphasized that AI developments that may not seem connected to the company are largely built on the back of research and development made possible with Google’s open-sourced technologies. 

“Look, it’s a such a dynamic moment in the industry. When I look at what’s coming ahead, we are in the earliest stages of a profound shift. We have taken such a deep full stack approach to AI.

…we do world class research. We are the most cited, when you look at gen AI, the most cited… institution in the world, foundational research, we build AI infrastructure and when I’m saying AI infrastructure all the way from silicon, we are in our sixth generation of tensor processing units. You mentioned our product reach, we have 15 products at half a billion users, we are building foundational models, and we use it internally, we provide it to over three million developers and it’s a deep full stack investment.

We are getting ready for our next generation of models, I just think there’s so much innovation ahead, we are committed to being at the state of the art in this field and I think we are. Just coming today, we announced groundbreaking research on a text and image prompt creating a 3D scene. And so the frontier is moving pretty fast, so looking forward to 2025.”

Using AI To Enhance Search Instead of Replace It

Increasingly, AI is viewed by many as a competitor to traditional search, leading the interviewer to ask what Google is doing to protect the “blue link economy” in order to not “hurt or cannibalize” its search engine and the market around it. 

In response, Pichai discussed how AI has been a major part of Google’s development for longer than most people realize. Going back as far as 2012, AI has been part of Deep Neural Networks used to identify speech and images. Since then, artificial intelligence has been a core part of the search engine’s development. 

“The area where we applied AI the most aggressively, if anything in the company was in search, the gaps in search quality was all based on Transformers internally. We call it BERT and MUM and you know, we made search multimodal, the search quality improvements, we were improving the language understanding of search. That’s why we built Transformers in the company.

So and if you look at the last couple of years, we have with AI overviews, Gemini is being used by over a billion users in search alone.”

Where Is Search Going In 2025?

Looking forward, Pichai says he believes Search will be radically changing – and soon. While he says that advancement is becoming more difficult because the easiest innovations have already been done, he still believes that people will be surprised at how much is coming in just the first part of 2025.

“And I just feel like we are getting started. Search itself will continue to change profoundly in 2025. I think we are going to be able to tackle more complex questions than ever before. You know, I think we’ll be surprised even early in 2025, the kind of newer things search can do compared to where it is today… 

I think the progress is going to get harder when I look at 2025, the low hanging fruit is gone.

But I think where the breakthroughs need to come from where the differentiation needs to come from is is your ability to achieve technical breakthroughs, algorithmic breakthroughs, how do you make the systems work, you know, from a planning standpoint or from a reasoning standpoint, how do you make these systems better? Those are the technical breakthroughs ahead.”

Will AI Replace Traditional Search?

As increasing numbers of people seem to be relying on AI tools to get quick answers instead of using traditional search tools, some have suggested that AI could eventually replace search as we know it. At the same time, there are concerns that AI may be delivering less reliable or accurate answers, which Pichai believes will ensure that Google’s search tools remain relevant if not more valuable. 

“In a world in which you’re flooded with like lot of content …if anything, something like search becomes more valuable. In a world in which you’re inundated with content, you’re trying to find trustworthy content, content that makes sense to you in a way reliably you can use it, I think it becomes more valuable.

To your previous part about there’s a lot of information out there, people are getting it in many different ways. Look, information is the essence of humanity. We’ve been on a curve on information… when Facebook came around, people had an entirely new way of getting information, YouTube, Facebook, Tik… I can keep going on and on.

…I think the problem with a lot of those constructs is they are zero sum in their inherent outlook. They just feel like people are consuming information in a certain limited way and people are all dividing that up. But that’s not the reality of what people are doing. “

The full interview touches on several other questions including potential upcoming regulations, how the search engine views its responsibility towards creators, and other Google platforms like YouTube’s future direction. You can watch it here or below:

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Google’s AI-Powered Search Engine Arrives – What To Expect

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After months of rumors and speculation, Google’s AI-powered generative search experience is here – sort of. 

The new conversational search tool is available to users as a Google Labs experiment only accessible by signing up for a waitlist. That means it is not replacing the current version of Google Search (at least, not yet), but it is the first public look at what is likely to be the biggest overhaul to Google Search in decades. 

Though we at TMO have been unable to get our hands on the new search experience directly, we have gathered all the most important details from those who have to show you what to expect when the generative search experience becomes more widely available. 

What The AI-Powered Google Generative Search Experience Looks Like

The new Google search experience is present at the very top of Google search results, giving context, answering basic questions, and providing a conversational way to refine your search for better results. 

Notably, any AI-generated search information is currently tagged with a label that reads Generative AI is experimental.

Google will also subtly shade AI content based on specific searches to “reflect specific journey types and the query intent itself.” For example, the AI-created search results in the shopping-related search below are placed on a light blue background. 

Where Does The Information Come From?

Unlike most current AI-powered tools, Google’s new search experience cites its sources. 

Sources are mentioned and linked to, making it easier for users to keep digging. 

Additionally, the AI tools can pull from Google’s existing search tools and data, such as Google Shopping product listings and more. 

Conversational Search

The biggest change that comes with the new AI-powered search is the ability to follow up queries with follow-ups using context from your previous search. As the announcement explains:

“Context will be carried over from question to question, to help you more naturally continue your exploration. You’ll also find helpful jumping-off points to web content and a range of perspectives that you can dig into.”

What AI Won’t Answer

The AI-powered tool will not provide information for a range of topics that might be sensitive or where accuracy is particularly important For example, Google’s AI tools won’t give answers about giving medicine to a child because of the potential risks involved. Similarly, reports suggest the tool won’t answer questions about financial issues.

Additionally, Google’s AI-powered search will not discuss or provide information on topics that may be “potentially harmful, hateful, or explicit”.

To try out the new Google AI-powered generative search experience for yourself sign up for the waitlist here.

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AI Is On The Way To Google Ads According To New Test

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The rise of AI continues as Google Ads has started testing using artificial intelligence to help advertisers create the message for their ads. 

The feature seems to be a very limited test that uses AI to generate suggestions for headlines and description texts. Notably, when Google Ads Liaison Ginny Martin confirmed that the ad platform is testing AI tools, it is “unrelated to Bard”, Google’s recently released AI system. 

From user reports, the AI tool helps to create responsive search ads within Google Ads. 

Responsive search ads are a type of ad option that already uses machine learning to optimize your ad for those who see it using a premade set of headlines and descriptions. 

In this small beta test, users can instead let AI create headlines and descriptions suggestions based on information about your business. Specifically, the prompt asks you to “describe the product or service you’re advertising and what makes it unique in a few sentences.”

You can then select from the suggestions Google offers or decide to write your own.

It is unclear how soon you can expect to see this feature rolled out to more advertisers but it shows that Google is seriously working to utilize AI technology in every area of its platform, including Google Ads.

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Meet Google Bard – Google’s Response To Bing and ChatGPT’s AI Tools

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Google has started giving users in the US and UK access to Google Bard, its answer to Bing and ChatGPT’s AI chat tools. The company is doing a gradual rollout through a waitlist at bard.google.com. 

What Is Bard?

Bard is a generative AI. That means it will generate content for you based on prompts that you submit through a chatbot. 

In today’s announcement (partially written with the help of Bard), the company suggested a variety of ways users might be able to take advantage of the AI tool:

“You can use Bard to boost your productivity, accelerate your ideas and fuel your curiosity. You might ask Bard to give you tips to reach your goal of reading more books this year, explain quantum physics in simple terms or spark your creativity by outlining a blog post.”

Is Bard an AI Search Tool?

Yes and no. 

Bard is something of a complementary tool to Google’s search engine. While it is not directly integrated into Google Search, it is “designed so that you can easily visit Search to check its responses or explore sources across the web.”

Along with suggesting queries, you can immediately open a new tab with search results for a given query. 

At the same time, Bard is not considered a direct part of Google search. Instead, the company suggests it will be adding other AI tools to its search engine in the future. 

Bard Is In Early Stages

Throughout the announcement, Google repeatedly described Bard as an early experiment, As with Bing’s AI tools, Bard is likely to have some early quirks and weirdness as users get their hands on it. 

Additionally, Google pointed out that the AI tool is far from perfect. It can get information wrong or phrase things in misleading ways. Some of these errors may be small. In Google’s example, Bard got the scientific name for a plant wrong – Zamioculcas zamiifolia, not Zamioculcas zamioculcas. However, the company cautions it may be inaccurate in other ways.

Still, it will be fun to see what Bard can do now that it is coming to the public.

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