diff --git a/src/dug/core/async_search.py b/src/dug/core/async_search.py
index 1f3d5872..6946fb74 100644
--- a/src/dug/core/async_search.py
+++ b/src/dug/core/async_search.py
@@ -212,15 +212,10 @@ async def search_concepts(self, query, offset=0, size=None, types=None,
         Changed to a long boolean match query to optimize search results
         """
         query_dict = self._build_concepts_query(query, **kwargs)
-        total_items = await self.es.count(
-            body={"query": query_dict},
-            index="concepts_index")
         # Get aggregated counts of biolink types
         search_body = {"query": query_dict}
         search_body['aggs'] = {'type-count': {'terms': {'field': 'type'}}}
-        # Add post_filter on types
-        if types:
-            assert isinstance(types, list)
+        if isinstance(types, list):
             search_body['post_filter'] = {
                 "bool": {
                     "should": [
@@ -239,6 +234,18 @@ async def search_concepts(self, query, offset=0, size=None, types=None,
             size=size,
             explain=True
         )
+        # Aggs/post_filter aren't supported by count
+        del search_body["aggs"]
+        if "post_filter" in search_body:
+            # We'll move the post_filter into the actual filter
+            search_body["query"]["bool"]["filter"]["bool"].update(
+                search_body["post_filter"]["bool"]
+            )
+            del search_body["post_filter"]
+        total_items = await self.es.count(
+            body=search_body,
+            index="concepts_index"
+        )
 
         # Simplify the data structure we get from aggregations to put into the
         # return value. This should be a count of documents hit for every type