Live market share and trends for ChatGPT, Perplexity, Google AI, Copilot, Claude & more. See who's winning AI search.
Fastest Growing
Perplexity AI, which has seen a 370% year-over-year growth in users, primarily because its search-native, citation-first design provides a superior experience for users seeking accurate, research-backed information compared to general-purpose chatbots.
Biggest Threat to Search
Google AI Overviews, because it leverages Google's existing 90%+ search market share to force AI-generated answers into the daily workflow of billions of users, effectively neutralizing the need for users to switch to standalone AI search platforms.
ChatGPT
decliningStrength: Dominant brand awareness and broad conversational utility
Use case: General purpose AI assistance and content generation
Google AI Overviews
growingStrength: Massive distribution via existing search dominance
Use case: Informational queries and quick summaries
Perplexity AI
growingStrength: Search-native, citation-first architecture
Use case: Research-heavy queries and fact-finding
Gemini
growingStrength: Deep integration with Google ecosystem
Use case: Multimodal search and productivity
Microsoft Copilot
stableStrength: Integration with Windows and Office 365
Use case: Enterprise productivity and OS-level assistance
Claude
growingStrength: High-quality, nuanced reasoning and writing
Use case: Complex analysis and creative tasks
The AI search market is currently bifurcated into two distinct layers: the traditional search engine market, where Google maintains a near-monopoly, and the conversational AI chatbot layer, where ChatGPT remains the leader despite a shrinking share. The industry is shifting from a 'link-based' model to an 'answer-based' model, where users increasingly prefer direct, cited summaries over navigating multiple search results. This transition is driving explosive growth in AI-native platforms like Perplexity, while incumbents like Google are aggressively integrating AI into their core search products to defend their distribution moat.
For websites, the shift to Answer Engine Optimization (AEO) means that traditional SEO metrics like keyword density are becoming secondary to 'citation-worthiness.' To be cited, content must be highly authoritative, structured for direct extraction, and provide clear, concise answers to specific user questions. Because AI engines often have high zero-click rates, brands must prioritize being the primary source of truth within the AI response to maintain visibility, as the competition for the limited number of citations per answer is intense.