diff --git a/ELK/app/services/elasticsearch_service.py b/ELK/app/services/elasticsearch_service.py
index 746a4db..445d7a3 100644
--- a/ELK/app/services/elasticsearch_service.py
+++ b/ELK/app/services/elasticsearch_service.py
@@ -66,7 +66,7 @@ def __init__(self):
             raise ValueError("ES_PORT 환경 변수는 반드시 숫자여야 합니다.")
 
         self.es = Elasticsearch([{'host': host, 'port': port, 'scheme': 'http'}])
-        self.index_name = "place_data"
+        self.index_name = "place_data_v2"
         self.log_index_name = "chatbot_log"
         self.click_log_index_name = "click_log"
         self.search_log_index_name = "search_log"
@@ -79,14 +79,19 @@ def is_connected(self) -> bool:
             return False
 
     def search_places(self, query: str, max_results: int = 23, user_id: Optional[str] = None) -> List[Dict[str, Any]]:
-        """장소 검색"""
+        """장소 검색 (copy_to 필드와 multi_match로 고도화)"""
         search_body = {
             "query": {
-                "match": {
-                    "name": {
-                        "query": query,
-                        "fuzziness": "AUTO"
-                    }
+                "multi_match": {
+                    "query": query,
+                    "fields": [
+                        "name^4",
+                        "alias^3",
+                        "categories^2",
+                        "addresses^2",
+                        "content"
+                    ],
+                    "fuzziness": "AUTO"
                 }
             },
             "sort": [{"_score": {"order": "desc"}}],
@@ -124,20 +129,16 @@ def search_places_for_llm_tool(self, region: str, categories: List[str], user_id
         LLM 도구를 위한 장소 검색.
         지역과 카테고리 정보를 바탕으로 장소 uuid 목록과 총 개수를 반환합니다.
         """
-        query_body = {
-            "query": {
-                "bool": {
-                    "must": [],
-                    "filter": []
-                }
-            },
-            "size": 100,
-            "_source": ["uuid"],
-            "track_total_hits": True
+        # 1. bool 쿼리를 기본 쿼리로 정의
+        base_query = {
+            "bool": {
+                "must": [],
+                "filter": []
+            }
         }
 
         if region:
-            query_body["query"]["bool"]["must"].append({
+            base_query["bool"]["must"].append({
                 "multi_match": {
                     "query": region,
                     "fields": ["gu", "dong", "ro", "station", "address"]
@@ -145,7 +146,7 @@ def search_places_for_llm_tool(self, region: str, categories: List[str], user_id
             })
 
         if categories:
-            query_body["query"]["bool"]["filter"].append({
+            base_query["bool"]["filter"].append({
                 "bool": {
                     "should": [
                         {"terms": {"category.keyword": categories}},
@@ -155,6 +156,24 @@ def search_places_for_llm_tool(self, region: str, categories: List[str], user_id
                 }
             })
             
+        # 2. function_score 쿼리로 기본 쿼리를 감싸고, random_score 함수를 추가
+        query_body = {
+            "query": {
+                "function_score": {
+                    "query": base_query,
+                    "functions": [
+                        {
+                            "random_score": {}
+                        }
+                    ],
+                    "boost_mode": "multiply" # 원래 점수와 랜덤 점수를 곱하여 자연스럽게 섞음
+                }
+            },
+            "size": 100,
+            "_source": ["uuid"],
+            "track_total_hits": True
+        }
+            
         response = self.es.search(index=self.index_name, body=query_body)
         
         uuids = [hit['_source']['uuid'] for hit in response['hits']['hits']]
diff --git a/data/src/utils/es_place_upload.py b/data/src/utils/es_place_upload.py
index b63cffc..36814ea 100644
--- a/data/src/utils/es_place_upload.py
+++ b/data/src/utils/es_place_upload.py
@@ -95,6 +95,7 @@ def create_korean_content_index(self, index_name: str) -> bool:
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "categories",
                         "fields": {
                             "keyword": {
                                 "type": "keyword",
@@ -106,6 +107,7 @@ def create_korean_content_index(self, index_name: str) -> bool:
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "categories",
                         "fields": {
                             "keyword": {
                                 "type": "keyword",
@@ -117,21 +119,25 @@ def create_korean_content_index(self, index_name: str) -> bool:
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "addresses",
                     },
                     "dong": {
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "addresses",
                     },
                     "ro": {
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "addresses",
                     },
                     "station": {
                         "type": "text",
                         "analyzer": "my_nori_analyzer",
                         "search_analyzer": "my_nori_analyzer",
+                        "copy_to": "addresses",
                         "fields": {
                             "keyword": {
                                 "type": "keyword",
@@ -311,7 +317,7 @@ def insert_data_from_json(self, index_name: str, json_file_path: str) -> bool:
     es_client = KoreanContentElasticsearch()
 
     # 인덱스 이름 설정
-    INDEX_NAME = "place_data"
+    INDEX_NAME = "place_data_v2"
     
     # JSON 파일 경로 설정
     JSON_FILE_PATH = "data/place_json_preprocessing.json"