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Data and Insights

AI SEO Statistics 2025

March 23, 2026 · 9 min readChintan Zalani, founder of Bot Memo

By: Chintan Zalani

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Top AI SEO Stats: Editor’s Choice

Organic search drives 53% of website traffic – highlighting the value of organic search to any business or organization investing in well-optimized SEO.

Top-ranking pages on Google result in a much higher organic click-through rate of around 40%.

Let us look at some top-ranking statistics that give us a broad direction of where AI usage in SEO is headed:

1. 68% of companies report higher SEO and content marketing ROI when using AI. (Semrush, 2024)

2. The majority of respondents (67%) are using AI tools for content marketing and/or SEO. The rest are not. (Semrush, 2024)

3. Only 9% of respondents remain staunchly averse to the idea of using any form of AI in their content marketing strategy or SEO. (Semrush, 2024)

This suggests most people are open to AI adoption in their work!

4. The American populace is divided on AI-generated content. While 44% believe it matches human quality, 40% disagree. Interestingly, 36% think AI can outperform human writers, but 47% contest this view. (Ipsos, 2023)

5. When choosing to use a particular AI solution, results show that SEOs prioritize the accuracy and reliability of insights (64.48%) over all other factors. (SEO clarity, 2023)

6. Taking a case study of the Boring Marketer’s company, they have found 80% AI Content Generation + 20% Human Oversight & Refinement as the sweet spot for creating quality content. (Boring Marketer, 2024)

General AI SEO Statistics

What Are The Top Use Cases of AI in SEO?

The importance of SEO continues to rise. In 2024, 98% of organizations are prioritizing SEO, up from 90% in 2023.

Let us see how AI can enhance Search Engine Optimization, and what the top use case are:

1. Content optimization, keyword research, and content generation were cited as the most common use cases. (SEO clarity, 2023)

2. 83% of respondents at companies with 200+ employees reported improved SEO performance since incorporating AI. (SEO clarity, 2023)

In both cases, the top use-case was for content creation and optimization, can AI increase the qualitative aspects of content creation?

3. Increasing the quality of content, in a report by Semrush, you can see that 79% of businesses see an increase in content quality when using AI tools. (Semrush, 2024)

4. Automating repetitive tasks: 37% of marketers use AI to automate time-consuming and repetitive SEO tasks. (HubSpot, 2023)

Keyword statistics are important in SEO strategy. How can AI be beneficial here?

5. Keyword research: Google uses social signals as a ranking factor – using keywords that tie your business to these factors in your content. AI tools can facilitate keyword research for specific domains that make websites rank higher, Semrush has created its AI-powered keyword Research Tool.

6. Voice search optimization: AI is crucial for optimizing content for voice search queries. Voice search statistics say that this method of search accounts for 20% of all mobile searches, so considerable variations in dialect and tone matter. (Embryo, 2023)

Obtaining irrelevant results while performing a Google search can be quite frustrating, and this is indeed shown by a survey:

7. Personalization: AI enables the delivery of personalized search results. Seventy-one percent of consumers expect companies to deliver personalized interactions. And seventy-six percent get frustrated when this doesn’t happen. (Mckinsey, 2021)

Google and AI Statistics

Search generates a staggering 150 billion dollars in revenue for Google; they are the undisputed king of search engines and occupy the vast majority of the search engine market share,

1. Google’s position in the Worldwide Search Engine Market Share has held relatively steady at 91%. (Statcounter, 2024)

2. When the platform is restricted to mobile, Google’s dominance is evidenced by a 95% share when compared to other search engines. (Statcounter, 2024)

Even if AI is capable of being an efficient search engine, Google still has popularity and familiarity on its side.

3. The average CTR for Google search results is between 3% and 5%, depending on the industry. (SemRush, 2023)

Yet, the market is teeming with various alternatives for specific use cases, such as :

  • Competing search engines are offering their own AI features (like Bing or our Yep.com)
  • Companies like Perplexity.ai offer an alternative search experience built entirely on AI models, in May 2024 Perplexity received around 68 million visits. (What’s the Big Data, 2024)
  • Some people are even building their own AI chatbots trained on specific bodies of work—instead of asking Google for health and fitness advice, you could ask a chatbot trained on the Huberman Labs podcast. (Dan Shipper, 2022)

4. As per an Ahrefs blog, Perplexity AI was capable of doing most of the tasks done by Google search -except for a few specific things, like doing a site: search. (Ahrefs blog, 2024)

5. Google is still better at providing localized answers and results. (Ahrefs blog, 2024)

When thinking about how to use AI to optimize your page for Google search specifically, it is important to note that there is no single success strategy:

6. On average, Google updates its search algorithm 500-600 times per year – important not to rely too heavily on 1 strategy or keyword focus and to explore all of your available avenues. (Embryo, 2023)

Is Google Losing Market Share to AI?

Can language models like ChatGPT be a viable substitute for search engines?

1. Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents. (Gartner, 2024)

Yet, people still trust search engines on some level, especially when it comes to the topmost result.

2. Click-through rates are 27.5% higher for the top organic search result compared to the second, people trust the search engine to answer their questions, so the best performance organically is always position 1. (Embryo, 2023)

There was some false news which had stated that Google fell to 77.52%, down from 86.94%, but for April in the US:

3. Google fell to 86.58%, down from 86.94% in March and 88.88% YoY. (Search Engine Land, 2023)

This doesn’t seem to be a worrying trend as of now, also:

4. Recently, many marketers were worried about losing search traffic to AI. Now only 30.1% of Marketers think AI will negatively impact search and web traffic in 5 years. (Authority Hacker, 2024)

Can Google Detect ChatGPT Content?

69% Of Marketers Are Using ChatGPT, making it the most popular AI tool by far. With so much AI-generated content, we must wonder if search engines like Google can detect them.

1. The short answer is no, according to Ethan Mollick, an AI expert at the Wharton School of Pennsylvania. (Ethan Mollick, 2024)

2. Google can and will detect AI content if it violates their spam guidelines. However, the critical factor here is whether or not the content violates those guidelines. Google has said they will “reward high-quality content, however, it is produced.” If a creator uses an AI content generator and the content remains high quality, it won’t be an issue. (Google, 2024)

3. AI detectors don’t work at the level of language. To the extent that they work at all, they can be defeated by making slight changes to text. (Arxiv Paper, 20204)

AI content also seems to be much more uniform than human content in general, so an AI detector could find AI content from the html page of the website instead of the actual words written on it.

4. AI detectors have high false positive rates, which means they classify human-generated content as AI-generated. (Arxiv Paper, 2023)

5. AI detectors don’t work in Open AI’s experience. Open AI’s research into detectors didn’t show them to be reliable enough given that educators could be making judgments about students with potentially lasting consequences. (Open AI, 2024)

Does Google Penalize AI Content?

To answer this question, let us get more familiar with how Google ranks page quality:

1. Experience, Expertise, Authoritativeness, and Trust (E-E-A-T) are all important considerations in Page Quality rating. The most important member at the center of the E-E-A-T family is Trust. (Google, 2024)

And let’s look at some updates this year made by Google to address the issue of spam.

2. Google’s recent helpful content update cracked down on low-value sites focused on monetization over user experience. (Boring Marketer, 2024)

3. We expect that the combination of this update and our previous efforts will collectively reduce low-quality, unoriginal content in search results by 40%. (Google, 2024)

4. We’ve long had a policy against using automation to generate low-quality or unoriginal content at scale to manipulate search rankings. (Google, 2024)

As we can see, Google doesn’t have an explicit bias against AI-generated content, but it penalizes those who use AI tools to mass-produce low-quality content for a profit motive.

5. Google has a new policy for “site reputation abuse,” some SEOs have been calling it “Parasite SEO,” where third-party sites host low-quality content provided by third parties to piggyback on the ranking power of those third-party websites. (Search Engine Land, 2024)

AI Overviews Statistics

What Are Google’s AI Overviews?

Google has been integrating AI technologies into its search capabilities to enhance user experience and provide websites that cater to local search queries and search intent.

Google’s AI overview can help you gain very quick answers to queries, explore a results page, and plan for things like booking a restaurant nearby.

When looking at recent events, June has shown a diminishing trend for AI Overviews:

1. AI Overviews went from 11% to 7% of queries in June. (BrightEdge, 2024)

2. Some Industries had big swings in their AI Overview presence, for example, AIO Presence went from 26% to 13% of Education keywords in June. (BrightEdge, 2024)

3. AIOs ( AI Overviews) Presence for Entertainment went from 14% to nearly 0% in June. (BrightEdge, 2024)

4. AIO presence on E-Commerce keywords went from 26% to just 9%. (BrightEdge, 2024)

5. Overviews are continuing to reduce information that overlaps with traditional results. (BrightEdge, 2024)

6. There are patterns where AI Overviews appear for certain keywords more than others, as per BrightEdge, let’s go through some keyword statistics :

  • For “best” keywords: There was a 50% uptick in the presence of AI Overviews for keywords such as “best men’s shoes”, “best watches”, etc.
  • For “what is” questions: There was approximately a 20% AIO increase in keywords starting with “what is” (e.g., “What is data analytics”, “What is EDR”, “What is a mutual fund”). This suggests an increase in informational queries.
  • 10% increase in Financial Warnings: AI Overviews offers a warning in addition to caution about generative AI being experimental, advising that professional advice should also be sought.
  • For “Vs” comparisons: Similarly, there’s approximately a 20% AIO decrease in keywords containing “vs” for product or concept comparisons.

AI in Ecommerce SEO Stats

1. 25% of e-commerce marketers use AI to create product descriptions (HubSpot, 2023)

2. 82% of enterprise SEOs plan to invest more in AI for SEO in the future with the primary objectives of improving overall SEO performance and automating repetitive tasks to save time. (SEO clarity, 2023)

3. When it comes to which LLM enterprise SEOs currently trust and use the most, ChatGPT was the clear favorite (49.7%). (SEO clarity, 2023)

4. The biggest concerns and challenges enterprises have about using generative AI are content quality and authenticity (65.14%) as well as data security and privacy (58.64%). (SEO clarity, 2023)

General AI in Marketing Stats

From automating routine tasks to providing deep insights into consumer behavior, AI is reshaping every aspect of marketing.

It is increasingly becoming a necessity for businesses to adopt AI to remain competitive.

Let us substantiate this claim with some stats:

1. 50% of marketers believe that insufficient adoption of AI inhibits them from achieving their goals. (MailChimp, 2023)

2. 88% of marketers believe that to stay competitive and meet their customers’ expectations, they must implement AI technology. (MailChimp, 2023)

AI has direct effects on increasing leads for businesses:

3. 26% of B2B marketers who applied chatbots in their marketing activities saw a 10-20% increase in leads. (Statista, 2021)

Marketers and bloggers are actively using AI:

4. 62% of marketers are currently utilizing AI in their daily tasks and work. (MarketingHire, 2023)

30% of those surveyed use AI tools on the daily!

5. 85.1% Of AI Users Are Using It For Blog Content Creation. (Authority Hacker, 2024)

6. Amongst the AI-adept marketers, a strong 76% deploy generative AI for crafting content and drafting compelling copy. (MailChimp, 2023)

7. A sizable 29% of enterprises are either harnessing or contemplating the use of Natural Language Processing (NLP) AI to bolster their marketing strategies. (MailChimp, 2023)

Not only does AI increase profits and help businesses achieve goals, but it can also make the working process much more enjoyable:

8. 59% of business leaders who use AI say it’s increased their job satisfaction. (Tech Co, 2024)

Survey on roles AI will play in content marketing

9. Marketing vs. IT: While 23% of marketers in organizations embrace AI, the figure skyrockets to 54% for IT professionals. (IBM, 2022).

AI Content Marketing Distribution

Final Thoughts

AI is generating a lot of buzz among SEO professionals for its use for increasing organic traffic and aiding in SEO strategy, while Google maintains its superiority in the search engine domain with google search. But watch out for the newcomers carving out their niches by leveraging AI tools!

For a broader idea of prompts that you can give to LLMs for your SEO strategy, the SemRush report Semrush Report is a great head start.

Chintan Zalani, founder of Bot Memo

About the author

Chintan Zalani

I'm the insight architect behind Bot Memo. I have spent the last decade building media assets on the internet. Bot Memo started as a simple project covering industry deep dives. Then I built a data pipeline for it. And now I love analyzing and covering all things AI startups and trends on top of our own data infrastructure.

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