diff --git a/lib/crewai/src/crewai/experimental/conversational_mixin.py b/lib/crewai/src/crewai/experimental/conversational_mixin.py
index e3da7b8c9..119ab2ac3 100644
--- a/lib/crewai/src/crewai/experimental/conversational_mixin.py
+++ b/lib/crewai/src/crewai/experimental/conversational_mixin.py
@@ -153,6 +153,9 @@ class _ConversationalMixin:
         def kickoff(self, *args: Any, **kwargs: Any) -> Any:
             pass
 
+        def _persist_method_completion(self, method_name: Any) -> None:
+            pass
+
         @property
         def method_outputs(self) -> list[Any]:
             pass
@@ -330,6 +333,7 @@ class _ConversationalMixin:
                 and self._is_public_turn_result(result)
             ):
                 self.append_assistant_message(self._stringify_result(result))
+                self._persist_state_after_fallback_append()
         except Exception as exc:
             failed_event = ConversationTurnFailedEvent(
                 type="conversation_turn_failed",
@@ -419,6 +423,7 @@ class _ConversationalMixin:
                     and self._is_public_turn_result(result)
                 ):
                     self.append_assistant_message(self._stringify_result(result))
+                    self._persist_state_after_fallback_append()
             except HumanFeedbackPending as exc:
                 return exc
             except Exception as exc:
@@ -879,6 +884,23 @@ class _ConversationalMixin:
         self._is_execution_resuming = False
         object.__setattr__(self, "_turn_classified_intent", None)
 
+    def _persist_state_after_fallback_append(self) -> None:
+        """Re-persist after fallback append so restore sees the assistant reply.
+
+        Per-method snapshots inside ``kickoff`` run before this fallback, so
+        return-only ``@listen`` handlers need one more save for restore to see
+        the assistant message on the next turn.
+        """
+        if not self._method_outputs:
+            return
+        last_entry = self._method_outputs[-1]
+        if not isinstance(last_entry, dict) or not last_entry.get("method"):
+            return
+
+        from crewai.flow.types import FlowMethodName
+
+        self._persist_method_completion(FlowMethodName(str(last_entry["method"])))
+
     def _apply_pending_conversational_turn(self) -> None:
         """Drain the stashed user message + classify if intents configured.