Perplexity exploits Google AI gap

This is the opening Perplexity sees inside Big Tech. Google has the model talent, search traffic, shopping graph, and distribution across Search, Chrome, Android, and Gemini, but its AI consumer experience is still being grafted onto a search and ads machine that was built for links, merchants, and monetized intent. That leaves room for a smaller company to ship cleaner AI first workflows in research, shopping, and task completion before incumbents fully rewire the product.1 2 3 4 5

• Google has moved fast on shopping, adding conversational product search, price tracking, agentic checkout, and store calling in U.S. Search and Gemini during 2025. But these features still sit inside a broader commerce stack built around merchant feeds, Google Pay, and retailer participation, which is different from building a single purpose AI product from scratch.2 3 4 5
• Perplexity’s strategy has been to exploit that gap by shipping AI native experiences early, first cited answer search, then shopping, then Comet and Computer. Internal research shows those launches were often copied within 6 to 12 months, which means speed matters more for Perplexity than trying to match Google on distribution.1 6 7
• Shopping shows why incumbent incentives matter. The hardest part is not generating a recommendation, it is reliably handling stock, prices, returns, merchant trust, and checkout. That is exactly where Google’s ad and merchant ecosystem is an asset, but it also pulls the product toward partner safe, incremental changes rather than a fully opinionated AI assistant.2 5 8

The next phase is a race between distribution and product coherence. Google is likely to keep closing the gap by pushing AI shopping and agent workflows deeper into Search and Gemini, while Perplexity keeps winning by turning AI into a simpler default interface for high intent tasks before the incumbent stack becomes equally seamless.2 4 6 7