Search Platforms and LLMs Enter Symbiotic Phase as 45 Billion Monthly Sessions Reshape Discovery
Generative AI tools now drive referral traffic back to traditional search engines, defying replacement predictions and forcing marketers to rethink visibility strategies across converging platforms.

Large language models and traditional search engines are settling into an unexpected partnership rather than a zero-sum competition, according to new industry data showing generative AI platforms now account for an estimated 45 billion monthly sessions globally while simultaneously funneling users back to conventional search.
Research from Similarweb indicates that platforms like ChatGPT, Perplexity, and Claude have become significant sources of referral traffic to search engines, a dynamic that challenges earlier predictions of wholesale displacement. The pattern suggests users employ LLMs for initial exploration before turning to search for deeper investigation or transactional intent.
"LLMs complement rather than replace traditional search, at least for now," said Melanie Meikle, group partner for paid search at Dentsu, speaking to the evolving relationship between the two discovery modes. The convergence is forcing marketers to abandon siloed channel strategies in favor of integrated approaches that span both ecosystems.
Google's first-quarter earnings underscored the commercial stakes, with the company reporting that AI solutions were the largest contributor to Cloud growth and that its open models had been downloaded over 500 million times. The performance arrived one day after a Wall Street Journal report claimed OpenAI had missed revenue and user targets due to ChatGPT growth slowing as Google's Gemini captured market share.
