In news that will surprise absolutely no one in the SEO community, software giant Adobe revealed that generative AI traffic experienced explosive growth during the last holiday season and has continued its upward trajectory into 2025. Adobe also reported that traffic from this emerging channel yields better engagement signals than traditional traffic sources, though it still lags behind in conversion rates.

According to Adobe, these insights are based on more than 1 trillion website visits to U.S. e-commerce websites tracked by Adobe Analytics. Here are some highlights:

Surge in Generative AI Traffic

  • 1,300% increase in generative AI-driven traffic to U.S. retail sites from Nov. 1 to Dec. 31, 2024 (up 1,950% YoY on Cyber Monday).
  • 1,200% increase in generative AI traffic in February 2025 compared to July 2024.
  • Generative AI traffic has doubled every two months since September 2024.

While these growth figures are impressive, generative AI traffic still represents a small fraction of total website visits. This makes its growth appear more explosive than that of organic search, social media, or paid search—channels that are more mature and have significantly larger user bases. Even though these established channels may be growing at a similar pace in absolute numbers, their percentage-based growth is inherently lower due to their scale.

Consumer Adoption of Generative AI for Shopping

  • 39% of consumers have used generative AI for online shopping, while 53% plan to in 2025.
  • 55% use AI for research, 47% for product recommendations, and 43% for finding deals.
  • Other popular use cases include:
    • 35% for gift ideas.
    • 35% for discovering unique products.
    • 33% for creating shopping lists.

This data suggests that consumers are warming up to generative AI as a shopping tool, which poses a potential challenge for traditional search engines like Google.

Initially, generative AI was seen as a competitor to Google for informational queries. However, in the past two years, commercial queries have remained firmly within Google’s domain. The latest data shows that even for shopping-related searches, users are increasingly turning to AI. This shift could accelerate the monetization of AI-powered search, with platforms like ChatGPT introducing ads on commercially-intended prompts, creating a formidable alternative to Google Ads.

Generative AI Traffic vs. Non-AI Traffic

  • 8% higher engagement (users spend more time on sites).
  • 12% more pages viewed per visit.
  • 23% lower bounce rate.
  • 9% lower conversion rate, though it has been improving since July 2024.

These engagement metrics highlight the potential of generative AI traffic. User engagement is a key performance indicator that digital marketers and UI/UX experts constantly strive to improve. Often, strong engagement stems from well-optimized landing pages, but it can also be influenced by traffic source quality. Inbound marketing channels like organic search tend to attract more engaged users, whereas social media, display ads, and affiliate traffic generally perform worse in this area.

Historically, higher engagement correlates with higher conversion rates. However, despite sending highly motivated users to websites, generative AI traffic is converting at lower rates than other sources. That said, conversion rates have been improving steadily, and by year-end 2025, this disparity might no longer be an issue.

One key omission in Adobe’s report is a breakdown of non-AI traffic sources. Organic search typically has the highest conversion rate, followed by direct traffic, email, paid search, and social media. If AI-driven conversion rates remain significantly lower than all of these combined, it suggests that the gap between AI traffic and organic search is still considerable. For now, SEO remains crucial to a brand’s commercial success.

Generative AI for Travel Planning

Generative AI isn’t just reshaping online shopping—it’s also making waves in the travel industry. Increasingly, travelers are turning to AI-powered assistants to plan and book trips:

  • 1,700% increase in AI-driven traffic to U.S. travel and hospitality sites (Feb 2025 vs. July 2024).
  • 29% of consumers have used AI for travel-related tasks, with 84% reporting an improved experience.
  • Top AI use cases in travel:
    • 54% for general research.
    • 43% for travel inspiration.
    • 43% for local food recommendations.
    • 41% for transportation planning.
    • 37% for itinerary creation.
    • 31% for budget management.
    • 20% for packing assistance.
  • 45% lower bounce rate for AI-driven travel site traffic.

The last statistic stands out: a 45% lower bounce rate is virtually unheard of. If similar findings are validated across multiple studies, generative AI could become a top-tier traffic source for travel brands.

Generative AI for Financial Services Research

  • 1,200% increase in AI-driven traffic to U.S. banking sites (Feb 2025 vs. July 2024).
  • 27% of users have engaged AI tools for financial and banking tasks.
  • Top AI use cases in finance:
    • 42% for checking and savings account recommendations.
    • 40% for investment strategy explanations.
    • 39% for personalized budget creation.
    • 35% for understanding tax implications.
  • AI-driven visitors spend 45% more time on banking sites than non-AI traffic.

Even the finance sector is feeling the impact of AI as a traffic driver. Users coming from platforms like ChatGPT, Gemini, Copilot, and DeepSeek show higher engagement levels compared to traditional traffic sources.

What This Means for the SEO and Digital Marketing Community

The explosive growth of generative AI as a traffic source marks a fundamental shift in how users discover and interact with online content. While AI-driven traffic remains a smaller segment of total visits, its rapid expansion and strong engagement signals make it a must-watch channel for digital marketers.

For SEO professionals, this presents both challenges and opportunities:

  • Organic search remains the top driver of high-converting traffic, meaning traditional SEO strategies are still essential.
  • AI-assisted search is growing, requiring businesses to optimize for AI platforms in addition to search engines.
  • Content must be structured for AI-driven discovery, leveraging conversational search intent and understanding AI algorithms.

The engagement-to-conversion gap in AI traffic suggests that many AI users are still in the research phase of their journey. Businesses may need to adjust their content strategies to better guide AI-driven visitors toward conversions.

Finally, AI-generated search monetization is a major factor to watch. If ChatGPT, Gemini, and Copilot continue integrating commercial intent queries, they could chip away at Google’s near-monopoly in paid search.

At the end of the day, generative AI is more than just a new traffic source—it’s a disruptive force rewriting the rules of SEO, content marketing, and digital advertising. Companies that adapt quickly and harness AI-driven traffic effectively will gain a competitive edge in this evolving digital landscape.