diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index b01866a6d6c82..8dc0f7c8937dd 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -297,7 +297,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_datetime64_ns_dtype SA01" \
         -i "pandas.api.types.is_datetime64tz_dtype SA01" \
         -i "pandas.api.types.is_dict_like PR07,SA01" \
-        -i "pandas.api.types.is_extension_array_dtype SA01" \
         -i "pandas.api.types.is_file_like PR07,SA01" \
         -i "pandas.api.types.is_float PR01,SA01" \
         -i "pandas.api.types.is_float_dtype SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index bee8af46baa64..472754c7d3ad0 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -1327,6 +1327,12 @@ def is_extension_array_dtype(arr_or_dtype) -> bool:
     Third-party libraries may implement arrays or types satisfying
     this interface as well.
 
+    See Also
+    --------
+    pandas.api.types.is_string_dtype : Check whether the provided array or dtype is of the string dtype.
+    pandas.api.types.is_float_dtype : Check whether the provided array or dtype is of a float dtype.
+    pandas.api.types.is_integer_dtype : Check whether the provided array or dtype is of an integer dtype.
+
     Examples
     --------
     >>> from pandas.api.types import is_extension_array_dtype