AI Overviews and the road ahead

AI Overviews and the road ahead

The SEO landscape is changing fast, and many of the tactics we rely on today are becoming obsolete. To keep driving organic traffic and real value, we need to rethink our approach.

New developments – like Google’s AI Overviews, rolled out in May – are reshaping search results, shifting us away from the old “10 blue links” model.

AI is influencing not just platforms and processes but also how users behave and interact with content.

This article covers key insights and practical strategies to help you adapt to these changes and prepare your SEO efforts for 2025 and beyond.

When you search for “what is a zap in Zapier,” you may notice that the featured snippet appears as a citation in the AI Overview. 

This is not an isolated case.

Many reports highlight similarities between featured snippets and the answers provided in AI Overviews. 

Some experts have even suggested that this redundancy could lead Google to eventually phase out featured snippets altogether.

What this means for SEOs

There’s still value in trying to appear for featured snippets. Think of this as one way to have a higher chance of appearing in the AI Overviews. 

If you appear in a featured snippet you are increasing your opportunity to appear in AI Overviews.

Now is the time to get your ducks in a row and build a process to optimize for featured snippets. This will continue to be useful, should Google get rid of the featured snippets in the future.

Dig deeper: AI SEO: How to be visible in Google AI Overviews, chatbots, LLMs

2. Each citation in AI Overviews can have multiple sources (URLs)

Here’s an example from searching for the same query “What is a zap in zapier.” A click on the link icon shows two URLs that were used in creating this part of the answer.

About 21.1% of queries trigger overviews with each answer containing an average of 8.9 links, per a study by Rich Sanger and Authoritas.

This means we have 8.9 links in the AI Overviews plus the organic results in SERPs.

What this means for SEOs

AI Overviews aren’t here to destroy organic traffic. Instead, they are reshaping the ranking landscape and creating new opportunities in SERPs by providing more visibility.

Now is the time to shift our focus: rather than solely aiming for a spot in the top 10 results, we should also prioritize appearing in AI Overview citations.

The good news is that you don’t need to rank in the top 10 to be cited in these overviews.

3. Differences between SERP results and pages selected for LLMs

There have been various studies showing the differences in the top 10 ranking results and the URLs cited in AI Overviews.

Up to 46.5% of the URLs included in AI Overviews rank outside the top 50 organic results, per an Advanced Web Ranking study.

What this means for SEOs

Focus on creating high-quality content, regardless of whether you’re in the top 10 rankings. 

Even if you don’t rank highly, you still have the potential to be cited in AI Overviews or by large language models (LLMs).

Low-quality content is becoming obsolete, and there’s increasing value in producing meaningful content beyond just SERP rankings.

While measuring this value may be difficult at the moment, we will soon have the tools to assess it more effectively.

Dig deeper: The art of AI-enhanced content: 8 ways to keep human creativity front and center

4. Brand mentions are important

We hear about backlinks losing their value every year. LLMs and AI Overviews are shifting that narrative once again. 

The more brand mentions you have (even without a link), the greater the likelihood that your content will appear in answers within AI Overviews and other LLMs. 

What this means for SEO

Backlinks remain important, but their significance is growing even more. 

Getting your brand mentioned is crucial for increasing your chances of appearing in LLMs and AI Overviews.

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