Based on 660 effect sizes obtained from 23,255 adult participants across 51 reports of experimental studies, this meta-analysis investigates whether and when explicit (self-reported) and implicit (indirectly revealed) evaluations reflect relational information (how stimuli are related to each other) over and above cooccurrence information (the fact that stimuli have been paired with each other). Using a mixed-effects metaregression, relational information was found to dominate over contradictory co-occurrence information in shifting both explicit (mean Hedges' g = 0.97, 95% CI [0.89, 1.05], 95% PI [0.24, 1.70]) and implicit evaluations (g = 0.27, 95% CI [0.19, 0.35], 95% PI [−0.46, 1.00]). However, considerable heterogeneity in relational effects on implicit evaluation made moderator analyses necessary. Implicit evaluations were particularly sensitive to relational information (a) in between-participant (rather than within-participant) designs; when (b) co-occurrence information was held constant (rather than manipulated); (c) targets were novel (rather than known); implicit evaluations were measured (d) first (rather than last) and (e) using an affect misattribution procedure (rather than an Implicit Association Test or evaluative priming task); and (f) relational and co-occurrence information were presented in temporal proximity (rather than far apart in time). Overall, the present findings suggest that both implicit and explicit evaluations emerge from a combination of co-occurrence information and relational information, with relational information usually playing the dominant role. Critically, variability in these effects highlights a need to refocus attention from existence proof demonstrations toward theoretical and empirical work on the determinants and boundary conditions of the influences of co-occurrence and relational information on explicit and implicit evaluations.