Why Website Traffic Is Almost Dead Today - Marketing School Recap
Podcast: Marketing School
Published: 2026-03-11
Duration: 25 minutes
Summary
AI search engines are drastically reducing website traffic for informational content, but transactional SEO still holds value by driving revenue. Businesses must focus on adaptability and measuring success through revenue, not just traffic.
What Happened
AI-driven changes in search are causing a significant decline in website traffic for informational content. Neil and Eric discuss how AI models like ChatGPT are consolidating information, reducing the need for users to visit multiple sites. This trend is hitting publishers hard, with some seeing traffic drops as steep as 97%. Despite this, transactional SEO remains valuable as it directly drives revenue, with users more likely to complete transactions through AI agents or on optimized sites.
The conversation touches on the importance of focusing on revenue rather than traffic as a key metric for success. Businesses should adapt by creating content that AI and search engines can pull from, even if direct traffic is low, to build authority and visibility. Neil and Eric emphasize the necessity of evolving strategies and not relying solely on traditional traffic metrics.
The success story of Intercom's AI pivot is highlighted, showcasing how a company can thrive by embracing creative destruction. Intercom transitioned from a slowing SaaS growth to developing the AI-driven service FIN, which has significantly increased their ARR.
Eric shares insights on hardware requirements for local AI models, noting the demand for high RAM capacity in devices like the Mac Studio. This is crucial for running complex models effectively and cost-efficiently, highlighting the growing importance of on-prem solutions.
They also discuss the strategic shift companies like Andreessen Horowitz have made to control their media narratives, using multiple platforms to bypass traditional media gatekeepers. This adaptability is seen as a model for others facing similar challenges in the digital space.
The episode concludes with an emphasis on the need for fast adaptation in AI marketing, stressing the importance of hiring and training to stay competitive. The focus should be on evolving business models to leverage AI capabilities effectively.
Key Insights
- AI-driven search models like ChatGPT are drastically cutting website traffic for informational content, with some publishers experiencing drops up to 97%. This consolidation means users no longer need to visit multiple sites, challenging traditional SEO strategies.
- Intercom's pivot to AI saved them from slowing SaaS growth by launching FIN, an AI-driven service that bolstered their annual recurring revenue. This shift exemplifies how embracing 'creative destruction' can rejuvenate a company's growth trajectory.
- High RAM capacity in devices like the Mac Studio is now essential for running local AI models effectively and cost-efficiently. As AI demands rise, companies are realizing the importance of investing in capable hardware for on-premise solutions.
- Andreessen Horowitz adapted to the digital media landscape by using multiple platforms to control their media narratives, bypassing traditional gatekeepers. This strategic shift serves as a blueprint for companies looking to maintain narrative control amidst rapid digital changes.
Key Questions Answered
How is AI search impacting website traffic according to Marketing School?
AI search engines like ChatGPT are consolidating information, reducing the need for users to visit multiple sites, leading to significant traffic declines for informational content.
What strategy did Intercom use to achieve growth in AI on Marketing School?
Intercom embraced creative destruction by pivoting to an AI-driven service called FIN, significantly increasing their ARR by focusing heavily on AI capabilities.
What hardware is essential for local AI models as discussed on Marketing School?
High RAM capacity, such as that in Mac Studio devices, is essential for running complex local AI models effectively and cost-efficiently.