Marketing Data Shows Major Audience Overlap Between Google and ChatGPT Users
New data analyzed by Entrepreneur indicates that AI search tools are not yet replacing traditional search engines. Instead, a significant portion of users engage with both platforms, with 93.7% of ChatGPT visitors also using Google. This overlap suggests that modern consumer discovery paths are becoming increasingly fragmented across multiple digital touchpoints.
Context from Industry Pulse
The rise of AI search arrives during a period of significant volatility for the technology sector, as evidenced by recent layoffs at major firms including Amazon and Block. While some executives remain skeptical of AI-generated content, the Similarweb data confirms that consumer behavior is already shifting toward a hybrid search model. This transition forces a reevaluation of digital infrastructure, similar to how businesses once had to integrate SEO into their core marketing strategies. As AI assistants begin to act as intermediaries, the focus for brands is moving away from simple click-through rates toward broader visibility and citation accuracy across diverse discovery engines.
"Treating those groups as separate pools can lead to double-counting, inflated reach estimates and bad budget decisions."
Recent audience statistics from Similarweb highlight a complex relationship between traditional search engines and emerging AI platforms. According to Entrepreneur, nearly 94% of people who visited ChatGPT in September also visited Google, while roughly 14% of Google visitors engaged with ChatGPT. These figures suggest that AI tools are currently serving as a supplementary channel rather than a total substitute for established search habits.
The findings indicate that the modern customer journey often crosses several different systems before a conversion occurs. A user might initially ask an AI assistant for product comparisons, perform a branded search on Google, and then visit a company website directly. Because these interactions are layered, Entrepreneur suggests that treating AI and search as separate silos can lead to inaccurate reach estimates and inefficient budget allocations.
Measurement remains a significant challenge for businesses trying to attribute sales to specific discovery paths. Traditional last-click reporting often fails to capture the influence of an initial AI interaction if the final click comes from a search engine. To address this, Google has introduced a generative AI performance report within its Search Console. This tool provides data on impressions for pages appearing in AI Overviews, though it does not track activity on competing platforms like ChatGPT.
To better navigate this shifting landscape, companies are encouraged to monitor branded searches and lead quality alongside traditional clicks. Entrepreneur notes that visibility in an AI answer does not always result in a direct site visit, making it essential to use post-purchase surveys to identify where customers first encountered a brand. Maintaining accurate and clear product information across all platforms ensures credibility regardless of which tool a customer uses first.
The Industry Pulse Bottom Line
Businesses must move beyond last-click attribution models to account for the heavy overlap between AI and traditional search, ensuring brand credibility remains consistent across both discovery channels to capture fragmented customer journeys.