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.

YouTube is giving creators a new tool that makes A/B testing titles for their videos easy. This means any creators with access to advanced features will be able to guarantee they are using the most engaging titles that drive the most clicks using real-world data.

YouTube announced that the feature, previously only available to a select number of channels, would be getting widely released in a video on its Creator Insider channel this week.

In the announcement, YouTube also took time to share more details about how their A/B testing works and address some questions from the community.

How It Works

The new A/B testing feature is available in YouTube’s “Test and Compare” section, alongside the tool that allows channels to test thumbnails. With the tool, you’ll be able to test up to three different titles on a single video.

Once selected, the tool will show users the video using one of the three titles and gather performance data across a period of up to two weeks. 

Once the test is complete, you will get a notification with the results. If one title drives significantly more engagement than the others, it will become the default choice for viewers. If not, YouTube will default to the first title you provided. 

Of course, creators can always choose to override the tool and select one specific title to display.

Why YouTube’s A/B Testing Prioritizes Watch Time

While the feature has largely been positively received, many have questioned why the A/B testing tool measures and optimizes titles based on watch time rather than click-through rate. 

The company addressed this in the announcement video: 

“We want to ensure that your A/B test experiment gets the highest viewer engagement, so we’re optimizing for overall watch time over other metrics like CTR. We believe that this metric will best inform our creators’ content strategy decisions and support their chances of success.”

Understanding A/B Test Results

When the test is complete, YouTube will deliver one of three results.r

If there is one title that clearly outperforms the others, it will be declared the “Winner”.

“Performed the same” means that all of your titles drove similar amounts of watch time. One may have slightly performed better, but not by a wide-enough margin for it to be statistically meaningful. 

In some cases, YouTube may declare the test “Inconclusive” if there were not enough impressions to deliver proper results within the time period.

For more, watch the full announcement from the Creator Insider channel below: