diff --git a/app/services/search_telemetry.py b/app/services/search_telemetry.py
index 3260420..bc6e05c 100644
--- a/app/services/search_telemetry.py
+++ b/app/services/search_telemetry.py
@@ -103,17 +103,22 @@ def compute_confidence(results: list[Any], mode: str) -> float:
         # 코사인 유사도 그대로
         return _cosine_to_confidence(top_score)
 
-    # text / hybrid: 강한 텍스트 매치 우선 판정
-    if "title" in reason and top_score >= 4.0:
-        return 0.95
-    if any(k in reason for k in ("tags", "note")) and top_score >= 3.0:
-        return 0.85
-    if "summary" in reason and top_score >= 2.5:
-        return 0.75
-    if "content" in reason and top_score >= 2.0:
-        return 0.65
+    # hybrid에서 텍스트+벡터 합성 매치는 reason에 "+vector" 접미. 신뢰 가산.
+    has_vector_boost = "+vector" in reason
+    boost = 0.10 if has_vector_boost else 0.0
+
+    # text / hybrid: 강한 텍스트 매치 우선 판정.
+    # 임계값은 search.py의 가중치 합산 분포(텍스트base + FTS bonus + 0.5*cosine)를 반영.
+    if "title" in reason and top_score >= 3.5:
+        return min(1.0, 0.95 + boost)
+    if any(k in reason for k in ("tags", "note")) and top_score >= 2.5:
+        return min(1.0, 0.85 + boost)
+    if "summary" in reason and top_score >= 2.0:
+        return min(1.0, 0.75 + boost)
+    if "content" in reason and top_score >= 1.5:
+        return min(1.0, 0.65 + boost)
     if "fts" in reason and top_score >= 1.0:
-        return 0.55
+        return min(1.0, 0.55 + boost)
 
     # vector-only hit (텍스트 0건 → 코사인 raw, amplify 금지)
     if reason == "vector":