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AI Traffic Favors Buying Pages

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WebFX analyzed nearly 600,000 AI referral sessions across 2,500 URLs and found that AI sends users mostly to decision-stage content, not awareness pages. Homepages led with 31.3%, while product, service, blog, and FAQ pages captured most remaining traffic. Pages with specific facts, pricing, citations, and expert signals performed best, suggesting AI rewards content that helps buyers act.

what content earns ai traffic

What 600,000 AI Sessions Reveal About the Content That Wins AI Traffic

calendar icon Published: Jul 21, 2026

clock icon 16 min. read

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Expert Contributors

Emily Carter, M.S.

Emily Carter, M.S. Verified Sr. Content Team Lead

Sarah Berry

Sarah Berry Verified Lead SEO Consultant

Contents

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Key Findings From Our Analysis of 600K AI Sessions

We analyzed nearly 600K AI sessions across 2,500 URLs spanning businesses in 15+ industries. The data uncovered several clear patterns, including:

“What content do we actually need to get found in AI search?”

It’s a question we hear from businesses every day. As more customers turn to ChatGPT, Gemini, and other AI platforms to research products, services, and providers, marketers know AI search matters. The challenge is knowing which content investments are most likely to improve visibility and ultimately bring customers to your website.

To answer that question, we analyzed nearly 600K AI sessions across 2,500 URLs spanning businesses in 15+ industries. The data uncovered: 

Together, these findings provide a practical blueprint for the content businesses should prioritize to earn more visibility, website traffic, and customers from AI search.

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What types of content earn the most AI traffic?

Our data revealed several clear winners. 

Homepages generated the largest share of AI traffic by a wide margin (31.3%), followed by product pages (16.8%), service pages (11.4%), blog articles (11.3%), and FAQ/resource pages (7.2%). 

These “big five” page types accounted for more than two-thirds of all AI traffic in our dataset.

table - share of ai traffic by page type

🔽 Data: Share of AI Traffic by Page Type

Page Type

Share of AI Sessions

Homepage

31.28%

Product Page

16.83%

Service Page

11.43%

Blog/Article

11.29%

FAQ/Resource

7.17%

Location Page

6.18%

Other

4.71%

Tool/Calculator

3.39%

Industry/Vertical Page

3.13%

About/Company

2.67%

Pricing Page

1.47%

Case Study

0.44%

Contact Page

0.01%

Looking across the distribution, three findings stood out.

Key finding #1: Homepages drove nearly one-third of all AI traffic

Homepages generated 31% of all AI sessions, more than any other page type in our analysis.

This reflects how people increasingly use AI. Instead of navigating through multiple search results, users often ask AI to recommend businesses, products, or providers. Once AI identifies a strong match, the homepage naturally becomes the starting point for learning more.

For example, when we asked ChatGPT for the best AC repair company in Hershey, PA, every recommendation pointed directly to a company’s homepage, where we could explore services, reviews, and decide whether to take the next step. 

chatgpt homepage results - best ac repair

Key finding #2: Product, service, and resource pages are AI traffic magnets

After homepages, product pages (16.8%), service pages (11.4%), blog articles (11.3%), and FAQ/resource pages (7.2%) generated the largest share of AI traffic.

Although these pages serve different purposes, they all help users move forward. Some answer detailed questions. Others compare solutions or explain services. Many help users evaluate whether a business is the right fit. AI platforms consistently referred users to pages that supported those next steps.

Key finding #3: AI rewards comprehensive websites

Homepages drove the largest share of AI traffic in our study, but they weren’t the whole story. Product pages, service pages, blog articles, FAQs, industry pages, and tools all earned meaningful AI referrals.

graphic - page types & purpose

The highest-performing websites weren’t relying on one standout page. They built a portfolio of content that answered different questions and supported different stages of the customer journey, giving AI multiple opportunities to recommend their business.

Business takeaway: Build a content ecosystem that establishes authority in your niche

Every page contributes a signal about your business:

Together, they create a digital fingerprint that helps AI understand where your business has authority and when it’s the right recommendation for a customer’s next question or next step. 

Why AI traffic is more bottom-of-funnel than you think

More than 9 in 10 AI sessions landed on consideration or decision-stage content, while awareness pages accounted for just 2.3% of AI traffic.

That finding aligns with another WebFX study showing AI traffic converts 1.2× higher than traditional organic search. Together, the data suggests AI is increasingly connecting businesses with customers who have already moved beyond initial research and are actively comparing options, evaluating providers, and preparing to make a decision.

graphic - ai traffic share by content funnel stage

🔽 Data: Share of AI Traffic by Content Funnel Stage

Content Funnel Stage

Share of AI Sessions

Decision

55.30%

Consideration

36.70%

Retention

4.80%

Awareness

2.30%

Other

0.80%

Expert insights from webfx logo

Jackie

Jackie R. Sr. Conversion & UX Specialist, WebFX

“Users coming from AI search have already used AI chat to educate themselves. So by the time they’re coming to your website, they’re more brand-aware than ever before. That’s why it’s so important to make sure that AI is not just talking about your brand, but is talking about your brand in a favorable light.”

Key finding #1: AI users are evaluating, not just learning

Decision-stage content accounted for 55.3% of all AI traffic, while consideration pages generated another 36.7%.

Combined, 92% of AI traffic landed on content designed to help users compare providers, evaluate solutions, or make purchasing decisions.

That paints a very different picture than many marketers and business owners we talk with have. 

Key finding #2: AI is shortening the research process

Traditional search often encourages users to research one question at a time. AI changes that experience.

Instead of bouncing between multiple websites, users can ask AI to compare providers, summarize reviews, explain tradeoffs, and narrow their options before ever clicking a link. By the time they visit your website, they’re often looking for validation rather than an introduction.

That helps explain why service and product pages, FAQs, and comparison content consistently appear among the strongest AI performers.

Key finding #3: Transactional content drives the majority of AI traffic

The content intent data tells a similar story. 

Nearly 7 in 10 AI sessions landed on transactional content, while informational pages accounted for just 18% of AI traffic. Both the funnel stage and commercial intent data point in the same direction: The majority of AI traffic reached pages supporting evaluation and decision-making. 

graphic - share of ai traffic by content intent

🔽 Data: Share of AI Traffic by Content Intent

Content Intent

Share of AI Sessions

Transactional

68.90%

Informational

18.00%

Hybrid

11.10%

Navigational

1.70%

Other

0.30%

Business takeaway: Prioritize content that helps customers make decisions

For years, many organizations invested heavily in top-of-funnel educational content to grow organic visibility. That foundation remains important. Educational resources build authority, earn citations, and help AI understand your expertise.

Our research suggests the biggest opportunity for AI traffic often comes later in the customer journey. Businesses that invest in strong service pages, comparison content, pricing resources, FAQs, and other decision-stage assets are better positioned to capture users after AI has already helped narrow their options.

As AI becomes a larger part of the buying process, some of the highest-value content on your website may be the content that helps customers confidently take the next step.

What content performs best in AI vs. organic search?

For decades, content strategy has largely been shaped by one question: What content performs best in Google Search?

As AI search becomes a growing source of discovery, a new question is emerging: Will the same content continue to perform as customers shift from search engines to AI assistants? The answer has important implications for where businesses invest their time, budget, and content strategy over the next several years.

The answer? Both yes and no. Many of the same page types perform well across both channels, but AI platforms don’t distribute traffic the same way Google does. Comparing the two reveals where AI is creating new opportunities and where traditional search continues to have the upper hand.

table - ai traffic share vs. organic share by page type

AI Lift compares each page type’s share of AI traffic with its share of organic traffic. Positive values indicate page types that overperform in AI search relative to organic search, while negative values indicate page types that remain stronger performers in traditional search.

🔽 Data: AI Share vs. Organic Share by Page Type

Page Type

AI Traffic Share

Organic Traffic Share

AI Lift vs. Organic

Homepage

31.28%

43.95%

-12.67 pts

Product Pages

16.83%

9.70%

+7.13 pts

Service Pages

11.43%

10.92%

+0.51 pts

Blog / Articles

11.29%

4.03%

+7.26 pts

FAQ / Resource Pages

7.17%

1.85%

+5.32 pts

Location Pages

6.18%

10.83%

-4.65 pts

Other

4.71%

7.80%

-3.09 pts

Tools / Calculators

3.39%

6.36%

-2.97 pts

Industry Pages

3.13%

1.59%

+1.54 pts

About Pages

2.67%

2.28%

+0.39 pts

Pricing Pages

1.47%

0.64%

+0.83 pts

Case Studies

0.44%

0.04%

+0.40 pts

Contact Page

0.01%

0.01% 

0.00 pts

Key finding #1: AI creates the biggest opportunities for product, blog, and resource content

The largest AI Lift came from blog articles (+7.3 percentage points), product pages (+7.1 points), and FAQ/resource pages (+5.3 points).

These pages all serve a similar purpose. They help users compare options, answer detailed questions, and continue evaluating solutions after AI has narrowed the field. For businesses looking to grow AI traffic, they’re some of the clearest opportunities in the dataset.

Key finding #2: Google still leads branded and local discovery

While homepages generated the largest share of AI traffic overall, they accounted for an even larger share of organic traffic (44.0% vs. 31.3%). The same pattern appeared with location pages (−4.7 AI Lift) and tools/calculators (−3.0 AI Lift).

That suggests traditional search continues to play a larger role in branded, navigational, and local discovery, while AI increasingly connects users with deeper content that supports evaluation and decision-making.

Key finding #3: Service pages consistently perform across both channels

One result stood out for a different reason.

Service pages generated nearly identical shares of AI and organic traffic (11.4% vs. 10.9%), resulting in an AI Lift of just +0.5 percentage points.

That’s encouraging because it suggests investments in high-quality service pages continue to pay dividends regardless of how customers discover your business.

Business takeaway: Invest where AI Lift is highest without losing sight of your strongest SEO assets

Comparing AI and organic search reveals a clear pattern.

Homepages, service pages, and product pages consistently perform well across both channels, making them some of the strongest long-term investments.

Blog articles, FAQ/resource pages, and industry pages generated the highest AI Lift, signaling opportunities to grow AI traffic beyond traditional SEO.

At the same time, location pages and tools continue to be important drivers of organic search visibility and remain worth protecting.

Expert insights from webfx logo

sarah b webfx lead seo consultant

Sarah B. Lead SEO Consultant, WebFX

“Where businesses need to start is with an audit to understand their content distribution and funnel coverage, which you can do with an AI-enabled tool like Screaming Frog. Your next steps will depend on what you find, but there’s a shared thread across action items: Surface-level content doesn’t cut it anymore. Whether it’s a product page, blog post, or interactive experience, your content will need to provide depth, such as through product specifications, original research and first-hand anecdotes, or Q&As specific to your offerings.”

Knowing where to invest is only part of the equation. The next question is what makes those pages successful enough for AI to recommend them in the first place?

Content playbook for winning AI traffic

Throughout this report, we’ve explored the pages earning AI traffic, where users enter the buying journey, how AI search differs from traditional organic search, and where businesses have the biggest opportunities to invest.

Those findings naturally lead to one final question: What does content that consistently earns AI traffic have in common?

Looking across the 2,500 URLs generating the highest levels of AI referral traffic, five consistent patterns emerged. No single tactic guarantees AI visibility, but together they provide a practical playbook for creating content AI systems are more likely to recommend and customers are more likely to visit.

graphic - content playbook for winning ai traffic

1. Start with a trusted homepage

Homepages generated 31.3% of all AI traffic, making them the single largest destination in our dataset.

That reinforces the important role homepages play in AI search. Before recommending a product, service, or resource, AI often introduces users to the business itself.

A clear, trustworthy homepage gives users a place to validate that recommendation and continue exploring. Make sure your homepage clearly communicates:

2. Build commercial depth

Product and service pages accounted for 28.2% of AI traffic, helping users move from discovery to evaluation.

Rather than stopping at a homepage, AI frequently recommends commercial pages that answer buying questions, explain services, and help customers compare solutions.

Expand your service and product pages beyond basic descriptions by addressing pricing, implementation, comparisons, FAQs, and the questions prospects ask before contacting sales.

3. Help customers make decisions

Earlier in the report, we found that 92% of AI traffic landed on consideration and decision-stage content.

That tells us AI is often introducing users after much of their early research is complete. The strongest-performing pages reduced uncertainty and helped customers confidently take the next step.

Content types that help support the decision-marketing process include:

For example, a quick search in ChatGPT for “what’s a good price for a new garage door,” yields content geared toward helping searchers evaluate pricing and what’s worth the investment.

chatgpt results - garage door pricing

4. Answer specific questions completely

Pages most likely to be cited by AI-generated answers averaged a 4.76 out of 5 specificity score* and a 4.15 out of 5 completeness score, outperforming other pages on both measures. 

The strongest-performing pages focused on clearly defined:

These pages also backed up their content with:

They also anticipated the next question a user might ask, addressed common objections, and expanded beyond the initial answer with comparisons, FAQs, implementation guidance, and other supporting information that helped users continue making decisions without returning to AI or Google.

Businesses looking to increase AI visibility should create focused content around specific customer needs, then build those pages into comprehensive resources that:

*Specificity score measures how specific a page’s content is based on the presence of concrete details such as facts, named entities, dates, statistics, pricing, and product names (1 = generic, 5 = highly specific). Completeness score measures how thoroughly a page answers its primary topic and addresses related questions and context (1 = minimal coverage, 5 = comprehensive coverage).  

5. Demonstrate authority and expertise

Trust signals consistently appeared across the strongest-performing pages in our study too.

More than two-thirds included expert credentials, 52.6% featured original research or first-party data, and pages with citations averaged 26% more AI traffic than those without.

Rather than relying on a single trust signal, the highest-performing pages built confidence from multiple angles. You can do the same with your content by:

Business takeaway: Become the source AI wants to recommend

Looking across nearly 600,000 AI sessions, the strongest-performing pages all shared the same goal: Helping users confidently take the next step.

That’s ultimately what AI search is trying to do.

Businesses don’t need a completely different content strategy for AI.

They need content that’s trustworthy, specific, comprehensive, and genuinely useful throughout the customer journey. Those are the pages AI consistently recommended throughout our study, and they’re the pages most likely to earn visibility, traffic, and customers as AI search continues to evolve.

Do different AI platforms recommend different content?

Most discussions about AI search treat it as a single channel. In reality, businesses are competing for visibility across multiple AI assistants, each with its own user experience and recommendation patterns.

Looking across the data, one platform currently stands apart: ChatGPT accounts for 97.5% of AI referral traffic in our dataset.

graphic - share of ai traffic by ai platform

🔽 Data: Share of AI Traffic by Platform

AI Platform

Share of AI Traffic

ChatGPT

97.51%

Gemini

1.55%

Perplexity

0.53%

Claude

0.21%

Copilot

0.20%

That doesn’t mean Gemini, Perplexity, Claude, or Copilot aren’t important.

AI search is evolving rapidly, and today’s platform mix will almost certainly change over time. But it does mean the broader trends throughout this report largely reflect how users interact with ChatGPT today.

Although traffic volumes remain much smaller outside ChatGPT, we included a platform-level breakdown to provide additional context on where those referrals are landing. 

table - share of ai traffic by platform and page type

🔽 Data: Share of AI Traffic by Platform and Page Type

Page Type

ChatGPT

Gemini

Perplexity

Claude

Copilot

Homepage

96.10%

2.71%

0.48%

0.41%

0.29%

Product Page

99.21%

0.36%

0.30%

0.06%

0.07%

Service Page

98.89%

0.63%

0.26%

0.16%

0.06%

Blog / Article

95.06%

2.07%

2.38%

0.38%

0.10%

FAQ / Resource

97.90%

0.98%

0.21%

0.09%

0.82%

Location Page

99.89%

0.00%

0.00%

0.00%

0.11%

Other

98.63%

1.00%

0.09%

0.06%

0.23%

Tool / Calculator

94.82%

4.92%

0.19%

0.00%

0.07%

Industry / Vertical Page

99.03%

0.71%

0.17%

0.08%

0.00%

About / Company

99.21%

0.79%

0.00%

0.00%

0.00%

Pricing Page

99.61%

0.39%

0.00%

0.00%

0.00%

Case Study

100.00%

0.00%

0.00%

0.00%

0.00%

Contact Page

100.00%

0.00%

0.00%

0.00%

0.00%

The differences are subtle, but a few early patterns emerge:

Given the relatively small volume of traffic outside ChatGPT, it’s too early to draw broad conclusions about platform-specific optimization strategies. As adoption grows, however, these referral patterns will be worth monitoring.

Business takeaway: Prioritize the content, not the platform

Rather than building separate content strategies for individual AI assistants, focus on creating high-quality content that serves users well regardless of where the recommendation originates.

As the AI search landscape evolves, businesses with strong homepages, commercial pages, educational resources, and decision-support content will be well positioned across platforms.

Insights to action: What this study means for your AI content strategy

AI search is becoming an increasingly important part of how customers discover and evaluate businesses. Looking across nearly 600,000 AI sessions, one theme appeared again and again: The pages earning AI traffic made it easy for both customers and AI systems to:

That gives businesses a practical direction for the years ahead.

Investing in trusted homepages, stronger commercial pages, deeper educational resources, and first-party expertise creates more opportunities to earn visibility across both AI and traditional search.

Those investments improve the customer experience while strengthening the signals AI systems rely on when deciding what to recommend. If you’re looking to understand how your business appears across ChatGPT, Google AI, Perplexity, and other AI search experiences, WebFX can help.

With 617,125 AI sessions driven for clients, our AI SEO services combine AI visibility audits, content strategy, technical optimization, and ongoing performance tracking to help businesses grow their visibility and traffic from AI search.

Methodology

WebFX analyzed 590,868 AI sessions across the 2,500 URLs generating the highest levels of AI referral traffic spanning businesses in 15+ industries.

Each URL was classified by page type, funnel stage, commercial intent, and additional content characteristics, including specificity, completeness, trust signals (such as citations, expert credentials, original research, publish dates, and authorship), and organic search performance.

The dataset included referral traffic from ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok. Unless otherwise noted, percentages throughout this report represent each category’s share of total AI sessions.

Methodology Notes:

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