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Google AI
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AI in SEO
BERT Algorithm
SEO Trends
ARTICLE #59
How is Google's shift to AI affecting SEO?
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Google AI
SEO
AI in SEO
BERT Algorithm
SEO Trends
Google AI
SEO
AI in SEO
BERT Algorithm
SEO Trends
Written by:
5 min read
Updated on: July 18, 2024
Toni Hukkanen
Head of Design
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Creative Direction, Brand Direction
Toni Hukkanen
Head of Design
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Creative Direction, Brand Direction
Google announced major plans at Google I/O 2024, highlighting Google AI in its search results. While it may look like a minor tweak, these AI-generated summaries reflect a bigger change in how we explore information—and how marketers adjust their strategies. One standout development? Users can now refine their enquiries without starting from scratch, posing follow-up questions that specify exactly what they are after.
Naturally, some SEO experts are concerned about a potential dip in website traffic if Google starts handing out direct answers. If all your burning questions are answered in a neat snippet, will you bother clicking through to the source? Google’s official stance is that the priority is on delivering a better user experience—though that may come with side effects for traditional page views.
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Google announced major plans at Google I/O 2024, highlighting Google AI in its search results. While it may look like a minor tweak, these AI-generated summaries reflect a bigger change in how we explore information—and how marketers adjust their strategies. One standout development? Users can now refine their enquiries without starting from scratch, posing follow-up questions that specify exactly what they are after.
Naturally, some SEO experts are concerned about a potential dip in website traffic if Google starts handing out direct answers. If all your burning questions are answered in a neat snippet, will you bother clicking through to the source? Google’s official stance is that the priority is on delivering a better user experience—though that may come with side effects for traditional page views.
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Why Google’s AI is a big shift for SEO
Why Google’s AI is a big shift for SEO
Sceptics say offering direct answers might spell doom for old-school SEO. But if you look at history, each “game-changing” update is often more about adapting than waving a white flag. This isn’t just another update; it’s a real rethink of how a search engine can interpret and deliver info.
From keywords to context
Overstuffing your content with keywords is, thankfully, out of vogue. Google’s BERT Algorithm and other updates emphasise user intent rather than cramming in phrases. You’ll need to understand what people genuinely want and why they are searching—rather than just counting repeated words. Location-based results, personalisation, and deeper insights into user preferences make your content more interactive and relevant.
Sure, it helps to know your keywords—just don’t build your entire strategy around them. People expect content that resonates with their goals, not a random assortment of repeated terms. AI is at the heart of Google’s drive to deliver results based on meaning and context, rather than basic text matching.
Creating and optimising content in the age of AI
Google AI isn’t just combing through content—it’s predicting which pages best fit specific queries. To match the rising bar, you’ll want to provide rich, nuanced content that addresses real problems, not just surface-level definitions.
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AI in SEO: How does it work?
Machine learning has become a must-have in digital marketing. Instead of just picking out keywords, Google’s systems identify patterns in large volumes of data. Then they figure out which articles, videos, or products are most likely to satisfy a query.
This also shifts how we think of “keyword density.” AI-driven ranking is about how thoroughly you address a topic, not how often you repeat it. If your article genuinely tackles user questions, it’s more likely to rank well—even if you only mention your focus phrase a handful of times.
Content quality and relevance
You’ve probably heard of RankBrain and BERT Algorithm—both are Google’s AI efforts to decipher searcher intent. they are less interested in the raw number of times you say “best bike lock” and more intrigued by the depth and clarity of your discussion. As a result, SEO trends have moved toward semantic relevance. It helps to use data insights plus a dash of human empathy when you write.
There’s also the factor of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness). Google wants to see that your content is worth believing, so include credible sources, be honest about your expertise, and keep your tone both professional and accessible.
Zero-click searches and the rise of featured snippets
Noticed those quick answers at the top of many search result pages? That’s the “zero-click” phenomenon, where people see the answer, they need without leaving Google. It’s convenient for the user—but tricky for website owners itching for more clicks. If your content is top-notch, you might secure those featured snippets or knowledge panels. That can still boost brand recognition, even if not every query leads to a direct visit.
Sceptics say offering direct answers might spell doom for old-school SEO. But if you look at history, each “game-changing” update is often more about adapting than waving a white flag. This isn’t just another update; it’s a real rethink of how a search engine can interpret and deliver info.
From keywords to context
Overstuffing your content with keywords is, thankfully, out of vogue. Google’s BERT Algorithm and other updates emphasise user intent rather than cramming in phrases. You’ll need to understand what people genuinely want and why they are searching—rather than just counting repeated words. Location-based results, personalisation, and deeper insights into user preferences make your content more interactive and relevant.
Sure, it helps to know your keywords—just don’t build your entire strategy around them. People expect content that resonates with their goals, not a random assortment of repeated terms. AI is at the heart of Google’s drive to deliver results based on meaning and context, rather than basic text matching.
Creating and optimising content in the age of AI
Google AI isn’t just combing through content—it’s predicting which pages best fit specific queries. To match the rising bar, you’ll want to provide rich, nuanced content that addresses real problems, not just surface-level definitions.

AI in SEO: How does it work?
Machine learning has become a must-have in digital marketing. Instead of just picking out keywords, Google’s systems identify patterns in large volumes of data. Then they figure out which articles, videos, or products are most likely to satisfy a query.
This also shifts how we think of “keyword density.” AI-driven ranking is about how thoroughly you address a topic, not how often you repeat it. If your article genuinely tackles user questions, it’s more likely to rank well—even if you only mention your focus phrase a handful of times.
Content quality and relevance
You’ve probably heard of RankBrain and BERT Algorithm—both are Google’s AI efforts to decipher searcher intent. they are less interested in the raw number of times you say “best bike lock” and more intrigued by the depth and clarity of your discussion. As a result, SEO trends have moved toward semantic relevance. It helps to use data insights plus a dash of human empathy when you write.
There’s also the factor of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness). Google wants to see that your content is worth believing, so include credible sources, be honest about your expertise, and keep your tone both professional and accessible.
Zero-click searches and the rise of featured snippets
Noticed those quick answers at the top of many search result pages? That’s the “zero-click” phenomenon, where people see the answer, they need without leaving Google. It’s convenient for the user—but tricky for website owners itching for more clicks. If your content is top-notch, you might secure those featured snippets or knowledge panels. That can still boost brand recognition, even if not every query leads to a direct visit.
How to remain visible after Google’s shift to AI?
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Let’s face it: Google wants to distil data into concise, meaningful answers. Rather than panic, consider how to meet this approach head-on.
1. Format and style matter
Present comprehensive discussions in clear, accessible language. Show examples, data, or advice that addresses real user pain points. Keep it friendly—stuffy writing won’t help if Google’s AI is skimming for clarity and substance.
Regular updates: Refresh your articles, images, and graphics so they never feel out of date.
User-centric tone: Talk as though you’re guiding a friend—skip the heavy jargon.
2. Follow E-E-A-T guidelines
Use Google Analytics or other research tools to see which areas resonate with your audience. Provide facts, tutorials, case studies—whatever proves you know your stuff. Cite reliable sources. Make sure your content is accurate and thoroughly checked, including author bios for extra credibility.
3. Structure content for snippets
Google’s AI picks up on well-organised headings, bullet points, and short paragraphs. If your post is easy to parse, it stands a higher chance of becoming a featured snippet or knowledge panel star.
Schema Markup: Label your content with Articles, FAQs, or Product schema. Tools like Google’s Structured Data Testing Tool can ensure you’re implementing it correctly.
Multimedia Integration: Don’t limit yourself to text. Visual aids can boost user engagement and help you stand out.
4. Fine-tune your site speed and mobile experience
Google’s shift to AI doesn’t override basics like site speed or mobile responsiveness. Fast, user-friendly pages will still rank higher. Compress your images and test your site on various devices. If your website is slow or clunky, no fancy AI-based strategy will save it.

5. Manage product feeds for AI
Retailers should keep product listings fresh and properly formatted—names, prices, images, and even the occasional review snippet. Upload them to Google Merchant Center to gain extra traction in Google AI Shopping experiences. Think about adding real customer feedback, since positive reviews are gold for credibility.

Let’s face it: Google wants to distil data into concise, meaningful answers. Rather than panic, consider how to meet this approach head-on.
1. Format and style matter
Present comprehensive discussions in clear, accessible language. Show examples, data, or advice that addresses real user pain points. Keep it friendly—stuffy writing won’t help if Google’s AI is skimming for clarity and substance.
Regular updates: Refresh your articles, images, and graphics so they never feel out of date.
User-centric tone: Talk as though you’re guiding a friend—skip the heavy jargon.
2. Follow E-E-A-T guidelines
Use Google Analytics or other research tools to see which areas resonate with your audience. Provide facts, tutorials, case studies—whatever proves you know your stuff. Cite reliable sources. Make sure your content is accurate and thoroughly checked, including author bios for extra credibility.
3. Structure content for snippets
Google’s AI picks up on well-organised headings, bullet points, and short paragraphs. If your post is easy to parse, it stands a higher chance of becoming a featured snippet or knowledge panel star.
Schema Markup: Label your content with Articles, FAQs, or Product schema. Tools like Google’s Structured Data Testing Tool can ensure you’re implementing it correctly.
Multimedia Integration: Don’t limit yourself to text. Visual aids can boost user engagement and help you stand out.
4. Fine-tune your site speed and mobile experience
Google’s shift to AI doesn’t override basics like site speed or mobile responsiveness. Fast, user-friendly pages will still rank higher. Compress your images and test your site on various devices. If your website is slow or clunky, no fancy AI-based strategy will save it.

5. Manage product feeds for AI
Retailers should keep product listings fresh and properly formatted—names, prices, images, and even the occasional review snippet. Upload them to Google Merchant Center to gain extra traction in Google AI Shopping experiences. Think about adding real customer feedback, since positive reviews are gold for credibility.
Frequently Asked Questions
How exactly does Google’s AI aid in search?
With AI Overviews, Google can answer complicated queries in a single response rather than splitting them into multiple searches. This makes the entire process more user-friendly and direct.
Does Google’s new AI-driven search spell doom for paid ads?
Not necessarily. In fact, more precise queries might bring in better-quality traffic for ads. When people find exactly what they want, bounce rates often drop and conversions go up.
Is AI set to replace SEO?
AI will become a bigger piece of the puzzle, but humans are still needed for strategic thinking, creativity, and balancing brand priorities with user needs.
Final Thoughts
Google’s move towards AI-generated answers might feel like a shake-up, but it’s really just another evolution in how we all find and share information. For savvy marketers and content creators, that means elevating content quality, focusing on genuine audience value, and making data-driven tweaks to stay visible. You don’t have to reinvent everything—but you do need to refine your SEO approach to thrive in an AI in the SEO world.
Frequently Asked Questions
How exactly does Google’s AI aid in search?
With AI Overviews, Google can answer complicated queries in a single response rather than splitting them into multiple searches. This makes the entire process more user-friendly and direct.
Does Google’s new AI-driven search spell doom for paid ads?
Not necessarily. In fact, more precise queries might bring in better-quality traffic for ads. When people find exactly what they want, bounce rates often drop and conversions go up.
Is AI set to replace SEO?
AI will become a bigger piece of the puzzle, but humans are still needed for strategic thinking, creativity, and balancing brand priorities with user needs.
Final Thoughts
Google’s move towards AI-generated answers might feel like a shake-up, but it’s really just another evolution in how we all find and share information. For savvy marketers and content creators, that means elevating content quality, focusing on genuine audience value, and making data-driven tweaks to stay visible. You don’t have to reinvent everything—but you do need to refine your SEO approach to thrive in an AI in the SEO world.
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Work with us
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We’re remote-first — with strategic global hubs
Click to copy
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Click to copy
New York, NY
ny@for.co
Click to copy
Miami, FL
mia@for.co
Click to copy
Dubai, UAE
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Click to copy
Kyiv, UA
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Click to copy
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Copyright © 2024 FOR®