Generative Engine Optimization Statistics: USA 2025 ⁄ Artios

Generative Engine Optimization (GEO) is fast becoming a core part of today’s content strategy. As AI tools evolve, generative engine optimization agencies are helping businesses to find new ways to streamline workflows, boost visibility, and tailor content to what audiences truly want.

But with so many use cases emerging in such a short time, what’s really driving traction?

To find out what 8,874,785 business leaders in America’s opinions were about generative engine optimization, we utilized AI-driven audience profiling to synthesise insights from online discussions over a year ending 7 July 2025, to a high statistical confidence level. The findings reveal how generative AI is being used in real workflows, what concerns still linger, and where the biggest opportunities lie.

Index

17% of US business leaders cite accelerating content delivery as an extremely exciting use of generative AI in their business strategies
26% of business leaders agree that generative SEO offers a groundbreaking opportunity for reducing manual research work
65% of business leaders say that blog articles are a top priority for AI optimization
In-house AI tools are a viable option for implementing generative AI content for 47% of business leaders
Training teams to use AI is a notable concern for 48% of business leaders
28% of business leaders agree that prompt engineering is a highly valuable skill for managing generative AI content
22% of business leaders use conversion improvements as a useful indicator of AI-generated content’s success
44% of content strategy teams are leading or playing a key role in AI content efforts
23% of business leaders are concerned about legal and copyright risks when using generative AI tools
11% of business leaders are fully committed to using AI-assisted research in their content workflow
34% of business leaders say that close collaboration across teams is absolutely essential for getting the best SEO results using AI
27% of business leaders say that AI content should be reviewed by subject experts to ensure it remains authentic
33% of business leaders see a major opportunity for personalized AI web content in the next year
44% of business leaders agree that more efficient workflows are a major advantage of generative SEO strategies
31% of US business leaders say that Silicon Valley best represents their business location
The future of GEO
Methodology

What Most Excites You About Generative AI in Your Business Strategy?

17% of US business leaders cite accelerating content delivery as an extremely exciting use of generative AI in their business strategies

Some AI opportunities are generating more buzz than others:

Generative AI is stirring up real excitement in business strategy, especially around speed, personalization, and productivity. A recent SurveyMonkey study found that over two-thirds of marketers are excited about adopting AI and the impact it could have on their jobs. This enthusiasm is shaping how teams view next steps.

For our audience of US business leaders, accelerating content delivery emerges as the top area of excitement, with 6% calling it extremely exciting, and 17% seeing it as quite promising. Still, 12% find it somewhat concerning, and 13% say it’s not exciting at all. Personalizing customer experiences follows, and is viewed as extremely exciting by 5% and quite promising by 10%, while 2% find it somewhat concerning and 6% say it’s not exciting.

Enhancing decision-making and increasing productivity each have 3% of the audience saying they’re extremely exciting, and 4% quite promising. Decision-making also sees 1% finding it somewhat concerning and 2% not exciting.

Productivity sees 1% saying it’s not exciting at all. Unlocking new creative potential ranks lower, with 2% saying it’s extremely exciting, 4% quite promising, and 2% not exciting, suggesting that while creativity is acknowledged, business leaders are more focused on tangible, performance-driven outcomes like speed, personalization, and strategic efficiency.

What Do You Believe Is The Biggest Opportunity In Generative SEO?

26% of business leaders agree that generative SEO offers a groundbreaking opportunity for reducing manual research work

Opinions vary on where AI will make the biggest impact in SEO:

Generative SEO is opening up several high-value opportunities, with reducing manual research work topping the list. It’s seen as a groundbreaking opportunity by 26% of our audience and a promising avenue by 22%, thanks to AI’s ability to process vast data sets and surface insights in minutes.

Adapting quickly to algorithm changes follows close behind, with 14% viewing it as groundbreaking and 30% seeing it as a promising avenue. Machine learning SEO has played a big role in this shift, helping teams detect patterns in real time and adjust to algorithm changes as they happen.

Rounding out the list, improving search ranking quality and scaling landing page creation are both seen as promising avenues by 6% and 2% respectively.

Which Type Of Content Are You Most Focused On Optimizing With AI?

65% of business leaders say that blog articles are a top priority for AI optimization

One content type stands out as the clear focus for AI-driven optimization:

The types of content being optimized with AI vary, but blog articles are clearly the top focus. A full 65% of our audience says blog content is their top priority, and another 19% see it as an important focus. Thought leadership pieces also feature, with 16% ranking them as their top priority.

This strong emphasis on blog optimization aligns with a recent study showing that nearly 11% of Fortune 500 blog articles are likely AI-generated. As generative tools become more central to content strategy, it’s no surprise that teams are putting them to work on the formats that drive the most visibility and growth.

What Is Your Preferred Method Of Implementing Generative AI Content?

In-house AI tools are a viable option for implementing generative AI content for 47% of business leaders

In the race to implement generative AI content, two methods are gaining the most traction:

Implementing generative AI content is becoming a bigger part of business strategy. A 2025 survey found that 95% of companies in the US are now using generative AI, up 12% in just over a year. When it comes to how content is implemented, though, preferences vary.

In-house AI tools are the most widely accepted, with 3% calling them the best approach and 47% seeing them as a viable option, though 7% say they’re not their first choice. Trial-based experimentation is also popular, considered a viable option by 39% and not the first choice by 2%.

SaaS platform integration is more niche, named the best approach by 1% and a viable option by another 1%. External agency support drew minimal interest, with just 1% saying it’s not their first choice, proving that, currently, in-house is the desired option.

What Challenge Do You Face Most With AI-Driven Content?

Training teams to use AI is a notable concern for 48% of business leaders

Getting the most out of AI depends on overcoming a few common hurdles

The biggest challenge with AI-driven content is training teams to use it effectively. It’s a significant challenge for 11% of our audience, a notable concern for 48%, and a minor issue for 4%. That lines up with findings from the World Economic Forum, where 57% of professionals said they want their company to provide the training needed to build AI skills.

Brand compliance is another sticking point, seen as a significant challenge by 11%, a notable concern by 4%, a minor issue by 1%, and not a challenge by 1%. Aligning with SEO strategy is a significant challenge for 5%, a notable concern for 8%, and not a challenge for 1%. Understanding output tools is flagged as a significant challenge by 2%, a notable concern by 4%, and a minor issue by 1%. Maintaining a consistent tone didn’t register as an issue at all, which is positive, as consistency is crucial to marketing success.

What Skillset Is Most Important When Managing AI Generative Content?

28% of business leaders agree that prompt engineering is a highly valuable skill for managing generative AI content

A few core capabilities stand out in the race to master AI generative content:

Managing AI generative content calls for a mix of skillsets, but prompt engineering leads the way. It’s viewed as absolutely essential by 5% of our audience, highly valuable by 28%, and somewhat useful by 6%, while only 5% say it’s not necessary. Strong prompt engineering involves carefully refining inputs with the right context, which directly influences the accuracy, relevance, and overall quality of AI-generated content.

SEO expertise is also important, rated highly valuable by 21% and somewhat useful by 10%. Data interpretation earns 1% for absolutely essential, 9% for highly valuable, and 7% for somewhat useful. Content strategy planning is seen as highly valuable by 4%, while creative copywriting is rated highly valuable by 2% and somewhat useful by 1%.

The findings highlight a shift in content creation priorities, where technical fluency is emerging as more valuable than traditional creative roles, signalling a new hierarchy of skills in the AI era.

How Do You Currently Evaluate The Success Of AI Generated Content?

22% of business leaders use conversion improvements as a useful indicator of AI-generated content’s success

The way businesses evaluate AI-generated content is still taking shape:

Evaluating the success of AI-generated content involves a mix of performance signals and qualitative feedback. Google Cloud outlines three layers of KPIs for generative AI being model quality, system quality, and business impact. This helps explain why teams rely on a range of indicators rather than a single metric.

Conversion improvements fall under business impact, yet only 1% of our audience views them as a critical metric. While 22% see them as a useful indicator, 38% say conversion improvements are not a primary focus, and 11% find them irrelevant. Feedback from marketing teams is considered a critical metric by 1%, a useful indicator by 8%, not a focus by 4%, and irrelevant by 2%. Search engine visibility is rated a critical metric by 2%, a useful indicator by 7%, not a focus by 2%, and irrelevant by 1%.

It’s surprising that content engagement rates and organic traffic growth received no engagement at all, suggesting that teams may still be refining how they define success.

Which Department Is Leading Your AI Content Efforts?

44% of content strategy teams are leading or playing a key role in AI content efforts

Leadership in AI content efforts is starting to cluster around key departments:

Departments leading AI content efforts vary, but two teams are clearly in front. Content strategy is definitely leading for 15%, playing a key role for 29%, involved but not leading for 2%, and not involved for 1%. This shows that AI content is being driven by those already responsible for shaping voice, messaging, and editorial standards.

Technology teams are also heavily involved, with 14% saying they are definitely leading, 20% saying they play a key role, and 1% noting they are involved but not leading.

SEO is definitely leading in 1% of cases, playing a key role in 4%, involved but not leading in 2%, and not involved in 1%. Marketing is definitely leading for 2%, playing a key role for 5%, and involved but not leading for 1%, while product is definitely leading in 1% of cases and playing a key role in 1%.

While these are far lower percentages, they show that there’s still a cross-functional interest in shaping AI content strategy across teams.

What Concerns Do You Have About Using Generative AI Tools?

23% of business leaders are concerned about legal and copyright risks when using generative AI tools

Several key issues are shaping the approach to the use of generative AI tools:

Concerns about using generative AI tools abound, but legal and copyright risks are top of mind. A full 23% of US business leaders say they’re extremely concerned, 17% are somewhat concerned, 2% are not very concerned, and another 2% are not concerned at all. Questions around who owns AI-generated content and the use of copyrighted material in training data raise real intellectual property challenges, so it’s no surprise that the legal implications of generative AI are the leading concern.

Over-reliance on automation follows, with 17% extremely concerned, 9% somewhat concerned, 1% not very concerned, and 2% not concerned. Audience trust challenges are flagged by 7% as extremely concerning, 5% as somewhat concerning, 1% as not very concerning, and 1% as not concerning. Data privacy issues raise extreme concern for 5%, are somewhat concerning for 1%, and are not concerning for 1%. Misalignment with brand tone rounds out the list, with 3% extremely concerned, 2% somewhat concerned, and 1% not concerned at all.

Overall, it’s clear that legal issues far outweigh fears around automation, audience trust, data privacy, or brand voice, likely because they are not only costly but can cause irreparable reputational damage too.

Which Best Describes Your Approach To Integrating AI in Your Content Workflow?

11% of business leaders are fully committed to using AI-assisted research in their content workflow

There’s a clear gap between interest in AI and full integration into content workflows:

Approaches to integrating AI in content workflows range from cautious exploration to full commitment, but most teams are still testing the waters.

Although 70% of business owners see quicker content generation as a key benefit of tools like ChatGPT, only 3% of our audience are fully committed to full AI content generation, with a further 2% open to it. Just 5% are fully committed to AI-enhanced writing, with 2% being open to it and 2% expressing caution. AI-assisted research has stronger backing, with 11% fully committed and 3% open to it.

Using AI for optimization only sees 9% fully committed, 6% open to it, 19% cautious, and 22% not interested at all. Minimal AI involvement is fully embraced by 5%, with 4% open to it, 4% cautious, and 3% not interested. The gap between perceived potential and actual implementation suggests that while interest is growing, AI integration in content remains a work in progress.

What Do You Think Drives The Best Results With AI In SEO?

34% of business leaders say that close collaboration across teams is absolutely essential for getting the best SEO results using AI

Businesses are starting to zero in on what moves the needle with AI in SEO:

Driving results with AI in SEO depends on good tools and how people use them. Close collaboration across teams stands out as absolutely essential for 34% of our audience, with 12% calling it highly recommended. Although it’s not a priority for 2%, and unnecessary for 1%, this suggests the best outcomes come when content, SEO, and tech teams work together instead of in silos.

Strong prompt design is also key, seen as absolutely essential by 29%, highly recommended by 7%, not a priority for 2%, and unnecessary for 1%. This highlights the growing importance of prompting as a skill that shapes output quality. Deep audience insights are rated absolutely essential by 7%, highly recommended by 5%, and unnecessary by 1%, while continuous testing didn’t register any engagement.

Together, these findings show that successful AI-powered SEO relies on technology and cross-functional teamwork and strategic prompting to deliver high-quality, audience-relevant results.

How Do You Ensure Your Content Remains Authentic When Using AI?

27% of business leaders say that AI content should be reviewed by subject experts to ensure it remains authentic

There’s no single rulebook for maintaining authenticity when using AI in content:

Ensuring authentic content when using AI depends on how teams apply human oversight and set creative boundaries. Review by subject experts is most common, with 8% of business leaders saying it absolutely ensures authenticity, 19% considering it important, 6% saying it’s not a priority, and 3% calling it unnecessary.

Post-editing by humans is absolutely essential for 4%, important for 10%, not a priority for 6%, and unnecessary for 5%. The 2025 McKinsey Global Survey on AI found that 27% of organizations using AI review all AI-generated content before use, while a similar share reviews just a small portion, showing how varied post-editing habits really are.

Brand style guidelines are absolutely essential for 3% and considered important by 1%, while limiting AI to ideation only is considered important by 1%, not a priority for 6%, and unnecessary for 28%.

It’s clear that while human review and expert oversight are key to ensuring authenticity in AI-generated content, organizations differ widely in their post-editing practices and in how strictly they apply creative limits and brand controls.

Where Do You See The Most Potential For AI & Generative Engine Optimization In The Next Year?

33% of business leaders see a major opportunity for personalized AI web content in the next year

The next wave of GEO innovation is likely to center on a few high-impact areas:

The most potential for AI and Generative Engine Optimization in the next year lies in areas that promise faster, smarter, and more relevant content experiences. Personalized web content leads the way, with 33% of our audience seeing it as a major opportunity, 2% saying it’s worth exploring, and just 1% seeing limited potential. That focus aligns with broader expectations: 71% of consumers want personalized interactions, and 76% feel frustrated when they don’t get them.

Content performance insights are another strong area, with 23% seeing a major opportunity and 1% saying it’s worth exploring. Real-time content updates also rank highly, with 21% seeing major potential. Enhanced competitor analysis is viewed as a major opportunity by 16% and worth exploring by 2%. Despite being a cornerstone of SEO, automated keyword research ranks lower, with just 2% seeing it as a major opportunity.

What Benefit Have You Seen From Generative SEO Strategies So Far?

44% of business leaders agree that more efficient workflows are a major advantage of generative SEO strategies

As generative SEO moves from theory to practice, a few standout advantages are emerging:

The benefits of generative SEO strategies are starting to show up most clearly in how teams work. More efficient workflows are the top gain, with 44% of business leaders calling it a major advantage and 2% noting a noticeable benefit. This aligns with research showing that generative AI can reduce turnaround time by as much as 80–90%, particularly for routine or repetitive tasks.

Increased web visibility is another key benefit, seen as a major advantage by 34% and a noticeable benefit by 9%. Publishing speed is also improving, with 4% seeing a noticeable benefit and 3% reporting limited impact. Higher ranking quality has also shown some traction, with 2% calling it a major advantage and another 2% noting a noticeable benefit, yet these lower figures have a long way to go to catch up.

Which Region Best Represents Your Business Location?

31% of US business leaders say that Silicon Valley best represents their business location

Traditional tech hubs may not hold the same appeal they once did:

Views on which region best represents a business’s location vary widely. Silicon Valley still carries weight, with 5% saying it’s definitely the ideal location and 26% calling it a good choice. However, 38% feel it’s not the best fit, and 31% rate it a poor choice. Interestingly, there were no options about New York City recorded.

The numbers suggest a shift in how companies define strategic location, with many moving away from tech hubs in favor of more flexible, cost-effective options.

The Future of GEO

Generative Engine Optimization is no passing trend. From content strategy and team collaboration to prompt design and performance metrics, it’s reshaping how businesses think about visibility and impact.

As this space evolves, our data from nearly 9 million US business leaders shows a clear shift toward faster workflows, deeper personalization, and smarter ways of working.

Methodology

Sourced using Artios from an independent sample of 8,874,785 United States business leaders’ opinions across X, Reddit, TikTok, LinkedIn, Threads, and BlueSky. Responses are collected within a 95% confidence interval and 5% margin of error. Results are derived from opinions expressed online, not actual questions answered by people in the sample.

About the representative sample:

41% of US business leaders are between the ages of 45 and 64.
60% identify as male and 40% as female.
40% earn between $200,000 and $500,000 annually.

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