Tag Archive for: Google SEO

Since AI overviews have taken over search results and reduced the amount of clicks going to traditional search results, a debate has emerged within the SEO community. While one half of the community insists that the rise of AI calls for an entirely new approach to website optimization, others have cautioned that there is no need to reinvent the wheel. 

Now, two leading figures from Google have chimed in with a lengthy discussion on AI, how it is impacting search, and whether you need to be doing anything new to improve your visibility in AI overviews. 

Do You Need To Be Doing Anything New To Optimize For AI Search?

In a recent episode of the Search Off The Record podcast, Google’s Danny Sullivan and John Mueller spoke about AI and how it has changed search (and how it hasn’t). While they concede that it feels like search has changed significantly over the past couple years, the rise of artificial intelligence in search doesn’t actually call for any changes to how you optimize your website. 

Instead, they say that AI overviews use many of the same signals that were being used by the search engine.

To start the discussion, Jonn Mueller asked:

“So everything kind of around AI, or is this really a new thing? It feels like these fads come and go. Is AI in fad? How do you think?”

To which, Danny Sullivan said:

“Oh gosh, my favorite thing is that we should be calling it LMNOPEO because there’s just so many acronyms for it. It’s GEO for generative engine optimization or AEO for answer engine optimization and AIEO. I don’t know. There’s so many different names for it.

I used to write about SEO and search. I did that for like 20 years. And part of me is just so relieved. I don’t have to do that aspect of it anymore to try to keep up with everything that people are wondering about.

And on the other hand, you still have to kind of keep up on it because we still try to explain to people what’s going on. And I think the good news is like, There’s not a lot you actually really need to be worrying about.

It’s understandable. I think people keep having these questions, right? I mean, you see search formats changing, you see all sorts of things happening and you wonder, well, is there something new I should be doing? Totally get that.

And remember, we, John and I and others, we all came together because we had this blog post we did in May, which we’ll drop a link to or we’ll point you to somehow to it, but it was… we were getting asked again and again, well, what should we be doing? What should we be thinking about?

And we all put our heads together and we talked with the engineers and everything else. So we came up with nothing really that different.

Google’s Systems Prioritize The Best Content For Humans

According to Danny Sullivan, the reason you don’t need new strategies to optimize for overviews is that Google’s AI systems aim to surface the best content for human users – the same as Google’s traditional search systems. 

As Sullivan explained:

“And when it comes to all of our ranking systems, it’s about how are we trying to reward content that we think is great for people, that it was written for human beings in mind, not written for search algorithms, not written for LLMs, not written for LMNO, PEO, whatever you want to call it.

It’s that everything we do and all the things that we tailor and all the things that we try to improve, it’s all about how do we reward content that human beings find satisfying and say, that was what I was looking for, that’s what I needed. So if all of our systems are lining up with that, it’s that thing about you’re going to be ahead of it if you’re already doing that.

To whereas the more you’re trying to… Optimize or GEO or whatever you think it is for a specific kind of system, the more you’re potentially going to get away from the main goal, especially if those systems improve and get better, then you’re kind of having to shift and play a lot of catch up.

So, you know, we’re going to talk about some of that stuff here with the big caveat, we’re only talking about Google, right? That’s who we work for. So we don’t say what, anybody else’s AI search, chat search, whatever you want to kind of deal with and kind of go with it from there. But we’ll talk about how we look at things and how it works.”

Optimizing For Humans Is The Key To Google Success

While Sullivan’s comments are limited to Google’s own AI systems, they make it clear that optimizing for anything or anyone other than the end user is a mistake. Instead, it is crucial to do everything possible to deliver the best content and most value for real human visitors to your site. 

This makes sense in the big scheme of things. Ultimately, Google’s goal is to provide the best experience for real human users and delivering websites optimized primarily for artificial systems isn’t likely to win over many users. If you keep your goals aligned with providing the most value and best experience for human users, you’re better positioned to be the type of site Google wants to highlight. 

For more from Danny Sullivan’s discussion with John Mueller, listen to the full Search Off The Record episode here.

Google VP of Search, Liz Reid, recently spoke with The Wall Street Journal in a revealing interview focusing on the company’s approach to content as AI becomes more deeply integrated in both its search engine and society at large. 

Google Strives To Give Users What They Want

Liz Reid made it clear that what content Google decides to surface in both AI overviews and traditional search results are shaped heavily by user feedback.:

“…we do have to respond to who users want to hear from, right? Like, we are in the business of both giving them high quality information, but information that they seek out. And so we have over time adjusted our ranking to surface more of this content in response to what we’ve heard from users.

…You see it from users, right? Like we do everything from user research to we run an experiment. And so you take feedback from what you hear, from research about what users want, you then test it out, and then you see how users actually act. And then based on how users act, the system then starts to learn and adjust as well.”

This reflects how Google doesn’t just look for “the best content” but instead ranks “the best content for its users”. It is a small but important distinction which can have significant implications for what content gets seen on the search engine. Smart businesses and marketers will keep this in mind when creating online content. Don’t just make great content. Make great content that people want to engage with. 

Is AI Content Automatically Bad?

When discussing the idea of high quality content, Reid takes a moment to discuss AI content. Specifically she indicates that the search engine is essentially neutral about AI-generated content. While the search engine strives not to show “slop”, she suggests that AI content can easily rank alongside handmade content – so long as it passes the same quality standards:

“Now, AI generated content doesn’t necessarily equal spam.

But oftentimes when people are referring to it, they’re referring to the spam version of it, right? Or the phrase AI slop, right? This content that feels extremely low value across, okay? And we really want to make an effort that that doesn’t surface.”

People Want Unique Perspectives

When discussing what type of content users are most likely to click on, Reid emphasized that people don’t want surface level takes or superficial content. They want content that has depth and offers a unique perspective. This is especially true when it comes to what content people click on in AI overviews. 

As Reid said:

“But what we see is people want content from that human perspective. They want that sense of like, what’s the unique thing you bring to it, okay? And actually what we see on what people click on, on AI Overviews, is content that is richer and deeper, okay?

That surface-level AI generated content, people don’t want that because if they click on that, they don’t actually learn that much more than they previously got. They don’t trust the result anymore.

So what we see with AI Overviews is that we surface these sites and get fewer what we call bounce clicks. A bounce click is like you click on your site, Yeah, I didn’t want that, and you go back.

AI Overviews gives some content, and then we get to surface deeper, richer content, and we’ll look to continue to do that over time so that we really do get that creator content and not the AI generated.”

Even AI Tools Look For Human Perspectives

Throughout the interview, Reid makes it clear that users are looking for content that stands out from the noise. They want content with unique, strong perspectives and human experiences. While AI can help turn these perspectives into content people can enjoy, they ultimately require human guidance and insight to rise above all the other content online. 

The full interview has a lot of interesting insights from someone with deep knowledge of how Google search works and how it is advancing into the AI age. Watch it below:

Google’s Gary Illyes recently explained that Google’s search engine treats AI-generated images essentially the same as any other images and does not penalize sites for using AI images.

In a Q&A with interviewer Kenichi Suzuki and shared by Search Engine Journal, Illyes explained that AI-generated images have no direct impact on SEO or online rankings. 

Instead, he suggested that any effect to rankings from AI-generated issues may be brought on by technical issues. He suggested that brands may even see increased traffic if they use AI to create unique images. 

How Does Google Handle AI-Generated Content?

Google has largely been trying to take a nuanced approach to how it handles content made with AI. While the company has encouraged those who use AI-generated text content to ensure it is reviewed by humans, they have also taken steps to derank low-quality AI content.

At the same time, Google has not directly addressed how it handles AI-generated images.

About 10 minutes into the recent interview, Illyes was asked if Google would punish a site if some of their images were made with AI:

“Say if there’s a content that the content itself is legit, the sentences are legit, but also there are a lot of images which are relevant to the content itself, but all of them – let’s say all of them are generated by AI. Will the content or the overall site, is it going to be penalized or not?”

In response, Illyes emphasized that AI-generated images don’t affect SEO in any direct way.

“No, no. So AI generated image doesn’t impact the SEO. Not direct.

So obviously when you put images on your site, you will have to sacrifice some resources to those images… But otherwise you are not going to, I don’t think that you’re going to see any negative impact from that.

If anything, you might get some traffic out of image search or video search or whatever, but otherwise it should just be fine.”

In other words, the only major SEO consideration a site should have when using AI-generated content is ensuring the images are small enough and properly optimized to load quickly. 

While brands should consider other potential issues you might encounter using AI-generated images, such as how your audience will respond, Illyes’s comments make it clear that Google won’t be punishing you simply for using AI to create your graphics or pictures.

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

Google Search Liaison Danny Sullivan spent time during a recent Google Search Central Live NYC event to give advice to small, independent websites wanting to rank in the search engine against big brand competition.

Does Google Favor Big Brands?

According to a report from Search Engine Journal’s Roger Montti, Danny Sullivan spent part of the event answering questions from attendees. Sullivan’s advice to small brands was inspired by one suh question asking if Google was moving towards primarily showing a shrinking number of websites – specifically, big websites. 

While Sullivan said he understood the perception that Google Search is designed to favor big brands or that big brands will always outrank smaller sites, he emphatically stated this isn’t the case. 

In fact, Danny Sullivan told the crowd that Google is specifically working to improve how it handles smaller sites and give them more opportunities to be successful. 

“We’ve been spending a lot of time (and we’re going to continue to spend a lot of time) to understand how can we do a better job on better understanding and perhaps guiding some of the smaller creators and small independent sites so they can be successful. It has been like a huge chunk of my time over the past year. And I’m not alone in it.”

Why It Feels Like Google Favors Big Websites

During his response to the question, Sullivan spoke at length about what leads big brands to rank well and why it is difficult to detach that from how search works.

“And I’ve seen where people do research and say, ‘I’ve figured out that if you have a lot of branded searches…’ That’s kind of valid in some sense.

But it’s not like you have a lot of big branded searchers or small branded searchers or whatever and you’re finding that correlates to your traffic. What it’s saying is that people have recognized you as a brand, which is a good thing. We like brands. Some brands we don’t like, but at least we recognize them, right?

So if you’re trying to be found in the sea of content and you have the 150,000th fried chicken recipe, it’s very difficult to understand which ones of those are necessarily better than anybody else’s out there.

But if you are recognized as a brand in your field, big, small, whatever, just a brand, then that’s important.

That correlates with a lot of signals of perhaps success with search. Not that you’re a brand but that people are recognizing you. People may be coming to you directly, people, may be referring to you in lots of different ways… You’re not just sort of this anonymous type of thing.

So, one thing I would encourage anybody, but especially to smaller and independent ones that are kind of feeling like the big brands are kind of getting it all is, are you making sure that people understand who you are?”

What Small Sites Can Do To Compete

Reaching the crux of the discussion, Sullivan said that helping users and search engines understand who you are and what sets you apart are crucial for competing against bigger brands.

“Anytime you ever have a question about what you should be doing to be successful in Google search and your answer is to ask if it’s a good thing for your readers, if you do that, you are aligning with the things we’re trying to do because we’re trying to send people to satisfying content so that they go, ‘This was great! This is wonderful, I loved it!’

So when they wind up on your website, probably for the first time and they don’t know you from anything and they’re coming from this crazy world where they don’t even know where the profiling for the author is, make it easy for them. Make it easy for them to come into the site and know exactly what you’re about.

I know the travel bloggers, you all have the thing on the side that says, ‘we love travelling the world…’ It’s like, OK, that’s fine and at least people know to expect that from travel bloggers and you’ve got it there.

But help them understand what’s unique or different about you, that makes you a brand. And that is a really good thing.”

It is never easy to be David challenging a Goliath in your industry, but there are ways to overcome. By defining who you are clearly and what sets you apart from the bigger names, you give Google a better chance of understanding your website and why it should be prioritized over well-established international brands. 

A new study has revealed the factors that Google Shopping uses to rank products.

By assessing over 5,000 Google Shopping keywords, Jeff Oxford from 180 Marketing showed what factors matter the most to the e-commerce search engine and how brands can improve their own rankings. 

Website Authority Matters

The study found that website authority strongly correlates to higher rankings in shopping results. This contributes to major brands having a significant presence, with Amazon dominating top results. More than half (52%) of the studied keywords had Amazon listings at the top. 

Reviews and Pricing Drive High Rankings

Google considers product prices and user reviews heavily when ranking products. 

Products priced at or below the average for a category and query were most likely to appear in top results.

Similarly, products with high reviews consistently filled the top shopping results, while stores with a rating below 3.5 stars tended to languish further down the listings. 

Backlinks are Rare but Have a Big Impact

The study made the shocking discovery that the vast majority of product pages (98%) seem to have no backlinks whatsoever. Despite this, the few pages that did have backlinks seem to rank higher than those without. This presents a major opportunity for e-commerce brands looking for a leg up.

Pair Meta Descriptions With The Right Keywords

While meta descriptions were largely tied to improved rankings, the researchers noted that pages with exact-match keywords in their descriptions consistently saw the best results. 

The report indicates these meta descriptions were the most impactful on-page product ranking signal, however, it mentions that title tags and H1 headers with similar keywords also had a positive effect on rankings. 

Shipping and Return Scores Affect Rankings

Google Shopping keeps track of stores’ shipping, returns, and website quality metrics and uses them to rank websites. 

The report says that stores need “Exceptional” or “Great” scores for their shipping and returns performance or they are unlikely to appear in the top 10 product results. 

The Takeaway

Google has not commented on the study and is unlikely to provide details about how it ranks products any time soon. Until they do, the study from 180 Marketing gives the best guidance available for e-commerce retailers wanting their products to rank better in Google Shopping.

Every brand wants to put their best foot forward. If you want to do that online, you need to understand what canonical URLs are. So, today we are going to talk a bit about what canonical URLs are, why your pages may have a canonical version, and how Google chooses which page is the canonical page. 

What Are Canonical URLs?

A canonical URL or web page is the version of a page selected to be indexed by Google when there are multiple versions of the page. 

This version of the page is used by Google to rank the web page and be displayed in search results in order to prevent duplicate search listings. 

As the owner of the website, you have some control over which pages are chosen to be canonical URLs. As we will get into further down, though, Google doesn’t always select the page you believe should be the canonical version.

Before we get to that, let’s take a moment to talk about the legitimate reasons why you may have duplicate versions of a page.

5 Reasons For Having Duplicate Web Pages

According to Google’s official documentation and guidelines about canonical webpages, the search engine believes there are five legitimate reasons a webpage may have multiple versions. 

  1. Region variants: for example, a piece of content for the USA and the UK, accessible from different URLs, but essentially the same content in the same language
  2. Device variants: for example, a page with both a mobile and a desktop version
  3. Protocol variants: for example, the HTTP and HTTPS versions of a site
  4. Site functions: for example, the results of sorting and filtering functions of a category page
  5. Accidental variants: for example, the demo version of the site is accidentally left accessible to crawlers

How Google Chooses A Canonical Webpage 

Until very recently, it was unclear exactly how Google selected canonical pages. Website owners and managers could signal which version they wanted to appear in search results using the rel=”canonical” tag in the code of the page. 

However, this version wasn’t always the one that Google went with.

Gary Ilyes from Google cleared the mystery up (mostly) in a recent Google Search Central video. 

The process starts with finding the content and identifying the main content or “centerpiece of a page”. Then, it groups the pages with similar content in duplicate clusters. 

Then, Google uses a handful of pages to essentially rank each version of the page like it would a listing in search results. The page with the best ranking is selected as the canonical version and included in most search results. 

While he doesn’t list exactly what signals are used, Ilyes did say this:

“Some signals are very straightforward, such as site owner annotations in HTML like rel=”canonical”, while others, like the importance of an individual page on the internet, are less straightforward.”

Notably, this doesn’t mean that Google only indexes one version of the page to be used in all contexts. There are situations where Google may decide to show users a version of the page other than the canonical version.

“The other versions in the cluster become alternate versions that may be served in different contexts, like if the user is searching for a very specific page from the cluster.

To hear Gary Ilyes himself talk about the process, check out the full Google Search Central Video below:

Google is making a big change to its Core Web Vitals ranking signals soon, as the company announced that the new Interaction to Next Paint (INP) signal will replace the First Input Delay (FID) on March 12.

The new INP metric measures the amount of time between when a user interacts with a web page (for example, by clicking a button) to when a browser begins rendering pixels on the screen.

Though FID measured a similar time between user input and browser rendering, Google says INP captures interactivity in ways that were not possible previously.

The History Behind FID and INP Metrics

FID has been a metric used by Google to rank sites since the debut of Google’s Core Web Vitals in 2018. However, Google quickly began to see that this metric didn’t fully capture user interactions as they had hoped. 

This led to Google introducing INP as an experimental or “pending” metric in 2022. Now, almost 2 years later, Google has decided to fully replace FID with the INP metric in March.

What You Should Do

Before March, it is recommended that website managers ensure their site is meeting the threshold for a “good” INP performance. 

If you do not meet this mark, Google suggests optimizing your site with these strategies:

  • Evaluate your site’s performance using tools such as PageSpeed Insights or the Google Chrome User Experience Report.
  • Identify issues that may be slowing down INP, like extended JavaScript tasks, excessive main thread activity, or a large DOM. 
  • Optimize issues based on Google’s optimization guides for the specific issue.

As Google’s ranking algorithms evolve, this and other ranking signals will likely be updated or replaced. This emphasizes how important it is to use the latest optimization standards and to ensure a smooth user experience if you want your business to be easily found online.

The Google SEO Starter Guide is designed to help individuals and organizations quickly learn the most important steps necessary for getting their websites ranking within Google Search. 

While the guide reportedly maintains a 91% approval rating, it has largely gone without updates for several years but that will be changing soon.

In a recent episode of Google’s “Search Off The Record” podcast, the company’s Search Relations team discussed plans to update the SEO Starter Guide, including talking about what would and would not be included in the revised document. 

Discussions like this are great for seeing how SEO is talked about within the search engine and learning what the company prioritizes when ranking sites along with identifying SEO myths that might lead you astray when optimizing your own site. 

So, what’s changing in the revised SEO Starter Guide?

HTML Structure

One topic the group discussed was the importance (or lack thereof) of HTML structure when it comes to online rankings.

While the team agreed that using proper HTML structure can help with online rankings, they indicated the guide will clarify that these are not all that important in the grand scheme.

As Google’s Gary Ilyes said:

“Using headings and a good title element and having paragraphs, yeah, sure. It’s all great, but other than that it’s pretty futile to think about how the page… or the HTML is structured.”

Branded Domain Names vs Keyword Rich Domain Names

SEO experts have been increasingly debating whether it is better to focus on your existing branding when establishing a domain name, or if domains perform better when including specific keywords.

According to the Google team, the new guide will clarify this by indicating that brands should focus on including branding in their domains over using keywords. The thought process shared by those in the discussion was that establishing a memorable brand will have a more long-term impact than trying to optimize your domain specifically for search engines. 

Debunking SEO Myths

Lastly, the group said one thing they want to improve in the document was how it addressed widespread SEO myths and misconceptions. 

For example, everyone agreed that the SEO Starter Guide should specifically debunk the idea that using Google products while creating or optimizing your site will improve search rankings. 

They indicated they would address this myth and several others to prevent people from optimizing their site based on misinformation found elsewhere online. 

For more from the discussion, listen to the entire episode of “Search Off The Record” here.

Google is making some big changes to how it ranks results that aim to deliver more personalized search results and increase the prevalence of “first-hand knowledge”.

The search engine announced the changes earlier this month while spotlighting two specific updates that have recently come to users. 

Cathy Edwards, Vice President of Search at Google, says these updates will better connect humans with the topics and content that are most relevant to their interests and needs:

“Search has always been about connecting human curiosity with the incredible expanse of human wisdom on the net. These advancements will help users find the most helpful information just for them, no matter how specific their questions may be. 

Bringing First-Hand Knowledge To The Surface

Google has made adjustments to its ranking algorithm to show more first-person perspectives higher in search results. While the company didn’t tell us exactly how it tweaked the algorithm, Edwards emphasizes that it will help people find new individual experiences, advice, and opinions when searching. 

With this change, the company says it will hopefully show fewer repetitive pieces of content that don’t bring new perspectives or opinions in the first pages of results. 

The announcement says:

“As part of this work, we’ve also rolled out a series of ranking improvements to show more first-person perspectives in results, so it’s easier to find this content across Search.”

Follow Topics For More Curated Results

Google is giving you the ability to curate your own search results by following topics that are important to you. 

By following topics in search results, such as a favorite football team, style of restaurant, or genre of music, you can stay in touch with these topics naturally while you are searching. 

Follows not only impact what you see in typical search results but help highlight important topics in Discover and other areas of Google.

You can see an example of how this can shape your search results below. The first image shows what search results looked like before this update rolled out, and after.

Like most changes to the search results, however, it is unclear exactly how this affects optimization strategies going forward. We will know more as we get more data in the coming weeks.

Personalization Is The Future

Google has been increasingly customizing search results for users based on numerous factors including location, age, gender, demographics, and more. These latest updates continue this effort to ensure that the search results you see aren’t just the most relevant sites for anyone. They are the most relevant search results for you.