diff --git a/products/tests.py b/products/tests.py
index 2e4f24e..412bae1 100644
--- a/products/tests.py
+++ b/products/tests.py
@@ -463,11 +463,13 @@ class ProductSearchTest(TestCase):
         expected_instances = [
             self.factory(tags="lunares/blancos",description="zapatos verdes"),
             # TODO: workaround vectorized search not liking nested tags
-            # self.factory(tags="colores/rojos, tono/brillante"),
-            self.factory(tags="colores, rojos"),
+            self.factory(tags="colores/rojos, tono/brillante"),
+            # self.factory(tags="colores, rojos"),
             self.factory(tags="lunares/azules", description="zapatos rojos"),
             self.factory(tags="lunares/rojos", description="zapatos"),
             self.factory(attributes='"zapatos de campo", tono/oscuro'),
+            # TODO: workaround multi-word tags
+            # self.factory(attributes='zapatos, "zapatos de campo", tono/oscuro'),
         ]
         unexpected_instances = [
             self.factory(description="chanclas"),
@@ -485,8 +487,11 @@ class ProductSearchTest(TestCase):
         # load response data
         payload = response.json()
         # check for object creation
-
+        import ipdb; ipdb.set_trace()
         self.assertEquals(len(payload['products']), len(expected_instances))
+        # check ids
+        for i in range(len(payload['products'])):
+            self.assertTrue(payload['products'][i]['id'] == expected_instances[i].id)
         # check for filters
         self.assertNotEquals([], payload['filters']['singles'])
         self.assertTrue(len(payload['filters']) >= 2 )
diff --git a/products/utils.py b/products/utils.py
index 44565d6..a4c0426 100644
--- a/products/utils.py
+++ b/products/utils.py
@@ -75,14 +75,23 @@ def find_related_products(keyword):
     return products_qs
 
 
-def alt_find_related_products(keyword):
+def alt_rank_find_related_products(keyword):
+    # TODO: figure out why it includes unrelated instances
     fields=('name', 'description', 'tags__name', 'attributes__name', 'category__name')
     vector = SearchVector(*fields)
-    products_qs = Product.objects.annotate(search=vector).filter(search=keyword)
+    query = SearchQuery(keyword)
+    products_qs = Product.objects.annotate(
+        rank=SearchRank(vector, query)
+    ).order_by('-rank')
+    import ipdb; ipdb.set_trace()
     return products_qs
 
 
-def search_by_phrase(phrase):
-    SearchQuery(phrase, search_type='phrase')
-    pass
+def alt_find_related_products(keyword):
+    fields=('name', 'description', 'tags__name', 'attributes__name', 'category__name')
+    vector = SearchVector(*fields)
+    products_qs = Product.objects.annotate(
+        search=vector
+    ).filter(search=keyword)
+    return products_qs
 
diff --git a/products/views.py b/products/views.py
index ea8bc4b..b1a6194 100644
--- a/products/views.py
+++ b/products/views.py
@@ -23,7 +23,7 @@ from companies.models import Company
 from history.models import HistorySync
 
 from back_latienda.permissions import IsCreator
-from .utils import extract_search_filters, find_related_products, alt_find_related_products
+from .utils import extract_search_filters, find_related_products, alt_find_related_products, alt_rank_find_related_products
 from utils.tag_serializers import TaggitSerializer
 from utils.tag_filters import ProductTagFilter
 
@@ -156,7 +156,8 @@ def product_search(request):
 
             for chunk in chunks:
                   # products_qs = find_related_products(chunk)
-                  products_qs = alt_find_related_products(chunk)
+                  # products_qs = alt_find_related_products(chunk)
+                  products_qs = alt_rank_find_related_products(chunk)
                   for instance in products_qs:
                         result_set.add(instance)