Will AI agents disrupt the SaaS market model?

Everyone describes the SaaS market platforms as if they were neutral little directories that allow buyers to browse, compare, and make choices calmly. This was originally a very nice description. But in reality, they are actually a collection of elements such as search functionality, trust signals, distribution capabilities, platform rules, and paid exposure, just packaged as the concept of "discovery". The AI agent makes this situation even harder to ignore. If users simply make such requests as: "Find me a suitable customer support tool" or "Build me an automated system" or "Which APIs can be adapted to my existing system?" - then this market is no longer necessarily the place where decisions are made. It merely becomes an input element in a decision-making system. This changes the situation. The lists built for human viewing may be useless to agents. Information such as reviews, prices, functions, running time, integration, implementation difficulty, and support quality, once structured, kept up-to-date, and machine-readable, becomes more valuable. And that old market page - filled with various badges and vague positioning descriptions - starts to look less like a storefront and more like an unmarked database with marketing perfume. So the real problem is not whether agents will replace the market platforms. This statement is too simplistic. The real problem is whether the market platforms will become the authoritative data layer that agents rely on, or whether agents will bypass them because these platforms are too noisy, biased, or slow to respond and cannot provide true information. If the market platforms can make adjustments, they may become more important than ever before. But if they cannot make adjustments, they may retain traffic but lose dominance.