The AI search market in 2026 is no longer experimental — it's mainstream. Hundreds of millions of people use AI assistants for research, recommendations, and decision-making. But how is this market actually distributed? And what does it mean for your brand visibility strategy?
The Current AI Search Landscape
While exact figures vary by source, the broad market picture in early 2026 shows a multi-player landscape:
- ChatGPT (OpenAI): Remains the dominant player in conversational AI search, with the largest general user base and strong brand recognition across consumer and business segments.
- Gemini (Google): Deeply integrated into Google's ecosystem, Gemini captures significant volume through Google Search's AI features, Android devices, and Google Workspace.
- Claude (Anthropic): Strong growth in professional and enterprise segments. Particularly popular among knowledge workers, researchers, and developers who value nuanced responses.
- Perplexity: Established itself as the go-to "answer engine" for research queries. Growing user base drawn by its citation-backed responses and real-time web access.
- DeepSeek: Rapid growth especially in technical and developer communities. Its efficiency and performance have attracted a dedicated following globally.
- Others (Kimi, Mistral, etc.): Regional and specialized models continue to grow, collectively representing a meaningful slice of AI search traffic.
Key Trends Shaping AI Search in 2026
Fragmentation Is the New Normal
Unlike traditional search where Google dominated with 90%+ share, AI search is genuinely fragmented. No single provider commands more than a plurality. Users often switch between models based on the query type — using ChatGPT for casual questions, Claude for complex analysis, and Perplexity for research.
For brands, this means optimizing for a single AI model is a losing strategy. You need visibility across the ecosystem.
Enterprise Adoption Is Accelerating
AI assistants are increasingly embedded in enterprise workflows. When a procurement manager asks an internal AI tool to "recommend a vendor for X," the underlying model's brand knowledge directly influences business purchasing decisions. This B2B impact is often underappreciated but highly valuable.
Multimodal Search Is Growing
Users increasingly combine text, image, and voice queries with AI assistants. "Show me the best options for..." queries that involve visual comparison, voice-activated product research, and image-based searches are growing rapidly. Brands with strong visual and multimedia content are better positioned for this shift.
AI Search Is Eating Into Traditional Search
While Google still handles the majority of all web searches, the share of product research and recommendation queries flowing through AI assistants continues to grow. For certain categories — particularly software, electronics, and professional services — AI-assisted research may already account for a substantial share of purchase-intent queries.
What This Means for Your Brand Strategy
Diversify your AI visibility: Don't put all your eggs in the ChatGPT basket. Build visibility across ChatGPT, Claude, Gemini, DeepSeek, and Perplexity. Each has a different user base and different recommendation patterns.
Prioritize by your audience: Where do your specific customers spend their time? If you sell developer tools, DeepSeek and Claude might be more important than Gemini. If you sell consumer products, ChatGPT and Gemini matter most. Let your audience data guide priority.
Invest in cross-platform monitoring: Track your visibility across all major models, not just one. Anchor provides this multi-model scanning capability, querying ChatGPT, Claude, Gemini, DeepSeek, and Kimi simultaneously to give you a complete picture.
Plan for continued fragmentation: New models will launch. Existing models will evolve. Build a flexible GEO strategy that works across platforms rather than optimizing for any single model's quirks.
Market Share by Query Type
The distribution varies significantly by the type of search:
- Casual recommendations: ChatGPT and Gemini dominate, reflecting their larger general user bases
- Deep research: Perplexity and Claude capture disproportionate share, appealing to users who want referenced, thorough answers
- Technical queries: Claude and DeepSeek are strong, especially for programming, architecture, and engineering questions
- Product comparisons: Spread across all platforms, but Perplexity's citation model makes it particularly popular for comparison shopping
Looking Ahead
The AI search market will continue evolving rapidly. New entrants, new features, and shifting user preferences will reshape market share continuously. The brands that establish strong AI visibility now — across multiple platforms — will be best positioned regardless of how the market shifts.
Start by understanding your current visibility across the AI search ecosystem.