diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index bcba7c8c13f8c..c7c6dd32ed242 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -9562,17 +9562,8 @@ def _gotitem(
         # TODO: _shallow_copy(subset)?
         return subset[key]
 
-    _agg_summary_and_see_also_doc = dedent(
+    _agg_see_also_doc = dedent(
         """
-    The aggregation operations are always performed over an axis, either the
-    index (default) or the column axis. This behavior is different from
-    `numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
-    `var`), where the default is to compute the aggregation of the flattened
-    array, e.g., ``numpy.mean(arr_2d)`` as opposed to
-    ``numpy.mean(arr_2d, axis=0)``.
-
-    `agg` is an alias for `aggregate`. Use the alias.
-
     See Also
     --------
     DataFrame.apply : Perform any type of operations.
@@ -9635,7 +9626,7 @@ def _gotitem(
         _shared_docs["aggregate"],
         klass=_shared_doc_kwargs["klass"],
         axis=_shared_doc_kwargs["axis"],
-        see_also=_agg_summary_and_see_also_doc,
+        see_also=_agg_see_also_doc,
         examples=_agg_examples_doc,
     )
     def aggregate(self, func=None, axis: Axis = 0, *args, **kwargs):
diff --git a/pandas/core/shared_docs.py b/pandas/core/shared_docs.py
index f421ba448c97a..6d35bfef0d780 100644
--- a/pandas/core/shared_docs.py
+++ b/pandas/core/shared_docs.py
@@ -39,6 +39,13 @@
 {see_also}
 Notes
 -----
+The aggregation operations are always performed over an axis, either the
+index (default) or the column axis. This behavior is different from
+`numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
+`var`), where the default is to compute the aggregation of the flattened
+array, e.g., ``numpy.mean(arr_2d)`` as opposed to
+``numpy.mean(arr_2d, axis=0)``.
+
 `agg` is an alias for `aggregate`. Use the alias.
 
 Functions that mutate the passed object can produce unexpected