Collecting competitive intelligence is an important part for the competitive intelligence work of enterprise, and it is a key factor in the research of competitive intelligence collection process that intelligence personnel how to sort the value of massive information sources, and effectively search for high-value intelligence. This paper constructs a "particle search model" of competitive intelligence for small and medium enterprises(SMEs) by taking Particle Swarm Optimization Algorithm as the basic theory and using interdisciplinary analysis and simulation test method in view of the urgent demand for competitive intelligence and the difficulties in carrying out competitive intelligence work of SMEs in China. The model fully utilize the "experience" of each particle to find the global optimal solution, which can provide reference for SMEs in China to build a competitive intelligence collection system model with low cost, high income and easy organization and management.