diff --git a/src/cpp/src/llm_pipeline_static.cpp b/src/cpp/src/llm_pipeline_static.cpp
index 652edc82f9..65f01ff193 100644
--- a/src/cpp/src/llm_pipeline_static.cpp
+++ b/src/cpp/src/llm_pipeline_static.cpp
@@ -34,6 +34,7 @@ namespace {
 namespace opp = ov::pass::pattern;
 class TransposeValueTensors : public ov::pass::MatcherPass {
 public:
+    OPENVINO_MATCHER_PASS_RTTI("TransposeValueTensors");
     struct Context {
         std::vector<std::shared_ptr<ov::opset13::Parameter>> new_params;
         std::vector<std::shared_ptr<ov::opset13::Parameter>> old_params;
@@ -95,7 +96,7 @@ class TransposeValueTensors : public ov::pass::MatcherPass {
 
 class ScaledDotProductAttentionDecomposition : public ov::pass::MatcherPass {
 public:
-    OPENVINO_RTTI("ScaledDotProductAttentionDecomposition", "0");
+    OPENVINO_MATCHER_PASS_RTTI("ScaledDotProductAttentionDecomposition");
     ScaledDotProductAttentionDecomposition() {
         auto pattern_node = ov::pass::pattern::wrap_type<ov::op::v13::ScaledDotProductAttention>();
 
diff --git a/src/cpp/src/lora_adapter.cpp b/src/cpp/src/lora_adapter.cpp
index f3c20fbfb4..2fd487f37f 100644
--- a/src/cpp/src/lora_adapter.cpp
+++ b/src/cpp/src/lora_adapter.cpp
@@ -473,7 +473,7 @@ struct LoRAWeightStateGetter {
 class LoRATransformBase : public ov::pass::MatcherPass {
 public:
 
-    OPENVINO_RTTI("LoRATransformBase");
+    OPENVINO_MATCHER_PASS_RTTI("LoRATransformBase");
 
     LoRATransformBase(const LoRAWeightByNodeGetter& lora_weight_getter) {
         register_matcher(
@@ -693,7 +693,7 @@ class LoRAFuseTransform : public LoRATransformBase {
 
 public:
 
-    OPENVINO_RTTI("LoRAFuseTransform");
+    OPENVINO_RTTI("LoRAFuseTransform", "genai", LoRATransformBase);
 
     LoRAFuseTransform(const LoRAWeightByNodeGetter& lora_weight_getter, const std::string& device_for_fusion = "CPU") :
         LoRATransformBase(lora_weight_getter),
@@ -763,7 +763,7 @@ class LoRAFuseTransform : public LoRATransformBase {
 class LoRASeparateTransform : public LoRATransformBase {
 public:
 
-    OPENVINO_RTTI("LoRASeparateTransform");
+    OPENVINO_RTTI("LoRASeparateTransform", "genai", LoRATransformBase);
 
     LoRASeparateTransform(const LoRAWeightByNodeGetter& lora_getter) : LoRATransformBase(lora_getter) {}
 
diff --git a/src/cpp/src/whisper_pipeline_static.cpp b/src/cpp/src/whisper_pipeline_static.cpp
index 91de478b1c..551774ec59 100644
--- a/src/cpp/src/whisper_pipeline_static.cpp
+++ b/src/cpp/src/whisper_pipeline_static.cpp
@@ -347,7 +347,7 @@ void add_attention_mask_input(std::shared_ptr<ov::Model> model) {
     using namespace ov::op;
     class AttentionMaskInput : public ov::pass::MatcherPass {
     public:
-        OPENVINO_RTTI("AttentionMaskInput");
+        OPENVINO_MATCHER_PASS_RTTI("AttentionMaskInput");
 
         AttentionMaskInput(std::shared_ptr<ov::Model> model) {
             auto range = wrap_type<v4::Range>();