We consider games of incomplete information in which the players’ payoffs depend both on a privately observed type and an unknown but common “state of nature.” A monopolist data provider knows the state of nature and sells information to the players, thus solving a joint information and mechanism design problem: deciding which information to sell while eliciting the players’ types and collecting payments. We restrict ourselves to a general class of symmetric games with quadratic payoffs that includes games of both strategic substitutes (e.g., Cournot competition) and strategic complements (e.g., Bertrand competition, Keynesian beauty contest). The data seller designs a mechanism that truthfully elicits the players’ types and sends action recommendations that constitute a Bayes Correlated Equilibrium of the game. We fully characterize the class of all such Gaussian mechanisms—where the joint distribution of actions and private signals is a multivariate normal distribution—as well as the welfare- and revenue- optimal mechanisms within this class. For games of strategic complements, the optimal mechanisms maximally correlate the players’ actions, and conversely maximally anticorrelate them for games of strategic substitutes. In both cases, for sufficiently large uncertainty over the players’ types, the recommendations are deterministic (and linear) conditional on the state and the type reports, but they are not fully revealing.