diff --git a/backend/app/routes/ai_personas.py b/backend/app/routes/ai_personas.py
index 9658c5bf..29c1dcfe 100755
--- a/backend/app/routes/ai_personas.py
+++ b/backend/app/routes/ai_personas.py
@@ -135,16 +135,21 @@ async def complete_persona():
     basic_profile = data.get('basic_profile')
     if not basic_profile:
         return jsonify({"error": "Missing basic profile", "message": "Basic profile is required"}), 400
-    
+
     temperature = data.get('temperature', 1.0)
     if not (0 <= temperature <= 1.5):
         temperature = 1.0
-    
+
+    audience_brief = data.get('audience_brief')
+    research_objective = data.get('research_objective')
+
     try:
         # Complete the persona
         complete_persona_data = await generate_persona(
             basic_persona=basic_profile,
-            temperature=temperature
+            temperature=temperature,
+            audience_brief=audience_brief,
+            research_objective=research_objective
         )
         
         return jsonify({
@@ -224,9 +229,11 @@ async def complete_and_save_persona():
             basic_persona=basic_profile,
             temperature=temperature,
             customer_data_session_id=customer_data_session_id,
-            llm_model=llm_model
+            llm_model=llm_model,
+            audience_brief=audience_brief,
+            research_objective=research_objective
         )
-        
+
         # Generate AI summary for the persona
         try:
             summary_data = await generate_persona_summary(
@@ -1107,9 +1114,11 @@ async def generate_personas_full():
                         basic_persona=basic_profile,
                         temperature=temperature,
                         customer_data_session_id=customer_data_session_id,
-                        llm_model=llm_model
+                        llm_model=llm_model,
+                        audience_brief=audience_brief,
+                        research_objective=research_objective
                     )
-                    
+
                     # Check cancellation before summary generation
                     if asyncio.current_task().cancelled():
                         raise asyncio.CancelledError("Task was cancelled")
diff --git a/backend/app/services/ai_persona_service.py b/backend/app/services/ai_persona_service.py
index 28978b38..da9b9b1d 100755
--- a/backend/app/services/ai_persona_service.py
+++ b/backend/app/services/ai_persona_service.py
@@ -444,25 +444,36 @@ async def generate_persona(
     basic_persona: Optional[Dict[str, Any]] = None,
     temperature: float = 1.0,
     customer_data_session_id: Optional[str] = None,
-    llm_model: Optional[str] = None
+    llm_model: Optional[str] = None,
+    audience_brief: Optional[str] = None,
+    research_objective: Optional[str] = None
 ) -> Dict[str, Any]:
     """
     Generate a synthetic persona using the specified LLM model.
-    
+
     Args:
         prompt_customization: Optional string to customize the generation
         basic_persona: Optional dictionary containing basic persona data to start with
         temperature: Controls randomness in generation (0.0 = deterministic, 1.0 = creative)
         customer_data_session_id: Optional session ID for customer data context
         llm_model: Optional LLM model to use for generation
-        
+        audience_brief: Optional audience brief for research context
+        research_objective: Optional research objective for research context
+
     Returns:
         A dictionary containing the generated persona data
-        
+
     Raises:
         PersonaGenerationError: If there's an issue with the AI generation or JSON parsing
     """
     try:
+        # If audience_brief or research_objective provided but no prompt_customization,
+        # generate customization so the LLM knows the research context
+        if not prompt_customization and (audience_brief or research_objective):
+            prompt_customization = customize_persona_prompt(
+                audience_brief=audience_brief,
+                research_objective=research_objective
+            )
         # Load customer data context if session ID provided
         customer_data_context = ''
         if customer_data_session_id: