Well, RFC is one potential remedy for problems involved with simulating scenarios involving pairs of products that are highly similar (share many of the same attribute levels). But, it's not the only solution that has been proposed.
It seems you'd like the benefits of RFC without the requirement of the plug-in. A straightforward and academically-sound approach is to take about 30 to 200 of the respondent draws from HB (the estimates of beta across different iterations of the HB algorithm, such as every 100th draw starting at the 10000th draw), then to apply either the first choice or "share of preference" decision rule in simulations.
This approach should be essentially as good as RFC. How many draws you use per respondent will of course affect your simulator's speed. And, you'll need to make adjustments to more correctly report the sample size and to estimate the standard errors (to avoid making it look like you have 30 to 200 times larger sample size).