I'm assuming you've built a simulator based on individual-level utilities (such as HB). In that case, for each respondent, you obtain a set of shares of preference that sum to 100%.
Across respondents, compute the population standard deviation of the shares of preference for each product in the simulator.
For each product's standard deviation, divide by the square root of the sample size. That's your standard error.