diff --git a/src/common/transformations/include/transformations/utils/gen_pattern.hpp b/src/common/transformations/include/transformations/utils/gen_pattern.hpp
index 976561b4844a17..215825d2cd13eb 100644
--- a/src/common/transformations/include/transformations/utils/gen_pattern.hpp
+++ b/src/common/transformations/include/transformations/utils/gen_pattern.hpp
@@ -40,6 +40,14 @@ namespace gen_pattern {
 
 #ifdef CPU_DEBUG_CAPS
 
+#    ifdef __GNUC__
+#        define CURRENT_LINE_NO __builtin_LINE()
+#        define CURRENT_FILE    __builtin_FILE()
+#    else
+#        define CURRENT_LINE_NO -1
+#        define CURRENT_FILE    ""
+#    endif
+
 template <typename... Args>
 static inline void _verbose_log(Args&&... args) {
     std::stringstream ss;
@@ -58,6 +66,10 @@ static bool matcher_verbose_enabled() {
         if (matcher_verbose_enabled()) \
         _verbose_log(__VA_ARGS__)
 #else
+
+#    define CURRENT_LINE_NO -1
+#    define CURRENT_FILE    ""
+
 static bool matcher_verbose_enabled() {
     return false;
 }
@@ -181,6 +193,8 @@ class Symbol {
         double literal_const_value;
         std::shared_ptr<Entity> lhs;
         std::shared_ptr<Entity> rhs;
+        const char* filename = "";
+        int line_no = -1;
         // _,+,-,*,/
         // l : literal const
         // n : named symbol
@@ -220,10 +234,12 @@ class Symbol {
         entity->op = 'n';
         entity->name = name;
     }
-    Symbol(const int value) {
+    Symbol(const int value, int line_no = CURRENT_LINE_NO, const char* file = CURRENT_FILE) {
         entity = std::make_shared<Entity>();
         entity->op = 'l';
         entity->literal_const_value = value;
+        entity->line_no = line_no;
+        entity->filename = file;
     }
     Symbol(char op, const Symbol& lhs, const Symbol& rhs) {
         entity = std::make_shared<Entity>();
@@ -246,8 +262,12 @@ class Symbol {
     void* get_id() const {
         return entity.get();
     }
-    const char* get_name() const {
-        return entity->name;
+    std::string get_name() const {
+        if (entity->line_no == -1 || is_independent_var())
+            return entity->name;
+        auto filename = strrchr(entity->filename, '/') ? strrchr(entity->filename, '/') + 1 : entity->filename;
+        std::string name(filename);  // use filename:lineno instead
+        return name + ":" + std::to_string(entity->line_no);
     }
     bool operator<(const Symbol& rhs) const {
         return get_id() < rhs.get_id();
@@ -739,7 +759,9 @@ class GenericPattern : public ov::pass::pattern::op::Pattern {
     explicit GenericPattern(const DiscreteTypeInfo& type_info,
                             const OutputVector& args,
                             const detail::AttrMap& attrs,
-                            const char* vt)
+                            const char* vt,
+                            const int line_no = -1,
+                            const char* file = "")
         : ov::pass::pattern::op::Pattern(args),
           m_type_info(type_info),
           m_attrs(attrs),
@@ -758,6 +780,12 @@ class GenericPattern : public ov::pass::pattern::op::Pattern {
                 sep = ",";
             }
             ss << ")";
+            if (line_no != -1) {
+                // add the code line no to the log:
+                //   O P752<opset1::Multiply>(P736,P745)@fuse_rotary_positional_embeddings.cpp:551 vs ...
+                auto filename = strrchr(file, '/') ? strrchr(file, '/') + 1 : file;
+                ss << "@" << filename << ":" << line_no;
+            }
             m_signature = ss.str();
             set_friendly_name(std::string("P") + std::to_string(id));
         }
@@ -776,7 +804,13 @@ class GenericPattern : public ov::pass::pattern::op::Pattern {
         // strictly requires pattern & graph value to come from output port with same index,
         // this is absolute necessary when pattern contains split node connections.
         if (pattern_value.get_index() != graph_value.get_index()) {
-            _VERBOSE_LOG(level, "X output index mismatch: ", pattern_value.get_index(), "!=", graph_value.get_index());
+            _VERBOSE_LOG(level,
+                         "X output index mismatch:(",
+                         m_signature,
+                         "): ",
+                         pattern_value.get_index(),
+                         "!=",
+                         graph_value.get_index());
             return false;
         }
 
@@ -1018,7 +1052,9 @@ template <class T>
 std::shared_ptr<Node> makePattern(const std::vector<detail::PatternNode>& inputs,
                                   detail::AttrMap attrmap = {},
                                   const char* vt = nullptr,
-                                  const char* friendly_name = nullptr) {
+                                  const char* friendly_name = nullptr,
+                                  int line_no = CURRENT_LINE_NO,
+                                  const char* file = CURRENT_FILE) {
     OutputVector args;
     for (auto& in : inputs)
         args.push_back(in.get_output());
@@ -1026,7 +1062,8 @@ std::shared_ptr<Node> makePattern(const std::vector<detail::PatternNode>& inputs
     // pattern nodes are better for pattern matching because
     //  - it can be generic/incomplete, so normal OP node is not working properly
     //  - it has predicate to correctly decide which branch to take (in Or pattern)
-    auto pattern_node = std::make_shared<detail::GenericPattern>(T::get_type_info_static(), args, attrmap, vt);
+    auto pattern_node =
+        std::make_shared<detail::GenericPattern>(T::get_type_info_static(), args, attrmap, vt, line_no, file);
 
     if (friendly_name)
         pattern_node->set_friendly_name(friendly_name);
@@ -1120,7 +1157,9 @@ inline std::shared_ptr<Node> GenStridedSlice(detail::PatternNode data,
                                              detail::PatternNode start,
                                              detail::PatternNode stop,
                                              detail::PatternNode step,
-                                             size_t axis) {
+                                             size_t axis,
+                                             int line_no = CURRENT_LINE_NO,
+                                             const char* file = CURRENT_FILE) {
     std::vector<int64_t> begin_mask(axis + 1, 1);
     std::vector<int64_t> end_mask(axis + 1, 1);
     std::vector<int64_t> new_axis_mask;
@@ -1135,12 +1174,27 @@ inline std::shared_ptr<Node> GenStridedSlice(detail::PatternNode data,
                                                    {"end_mask", end_mask},
                                                    {"new_axis_mask", new_axis_mask},
                                                    {"shrink_axis_mask", shrink_axis_mask},
-                                                   {"ellipsis_mask", ellipsis_mask}});
+                                                   {"ellipsis_mask", ellipsis_mask}},
+                                                  nullptr,
+                                                  nullptr,
+                                                  line_no,
+                                                  file);
     return opt2;
 }
 
-inline std::shared_ptr<Node> GenSlice(detail::PatternNode data, Symbol start, Symbol stop, Symbol step, size_t axis) {
-    auto opt1 = makePattern<opset8::Slice>({data, {start}, {stop}, {step}, {static_cast<int>(axis)}});
+inline std::shared_ptr<Node> GenSlice(detail::PatternNode data,
+                                      Symbol start,
+                                      Symbol stop,
+                                      Symbol step,
+                                      size_t axis,
+                                      int line_no = CURRENT_LINE_NO,
+                                      const char* file = CURRENT_FILE) {
+    auto opt1 = makePattern<opset8::Slice>({data, {start}, {stop}, {step}, {static_cast<int>(axis)}},
+                                           {},
+                                           nullptr,
+                                           nullptr,
+                                           line_no,
+                                           file);
 
     std::vector<Symbol> vbegin(axis + 1, Symbol(0));
     std::vector<Symbol> vend(axis + 1, Symbol(0));
@@ -1168,7 +1222,11 @@ inline std::shared_ptr<Node> GenSlice(detail::PatternNode data, Symbol start, Sy
                                                    {"end_mask", end_mask},
                                                    {"new_axis_mask", new_axis_mask},
                                                    {"shrink_axis_mask", shrink_axis_mask},
-                                                   {"ellipsis_mask", ellipsis_mask}});
+                                                   {"ellipsis_mask", ellipsis_mask}},
+                                                  nullptr,
+                                                  nullptr,
+                                                  line_no,
+                                                  file);
     return opt1 | opt2;
 }
 
@@ -1329,7 +1387,9 @@ class PatternValidator {
                 auto id = sym.get_id();
                 if (symbol_value_map.count(id)) {
                     if (symbol_value_map[id] != value) {
-                        _VERBOSE_LOG(" in-consistency between multiple references of same symbol : ",
+                        _VERBOSE_LOG(" in-consistency between multiple references of same symbol(",
+                                     sym.get_name(),
+                                     "): ",
                                      symbol_value_map[id],
                                      " != ",
                                      value);
@@ -1345,7 +1405,12 @@ class PatternValidator {
             if (sym.is_literal_const()) {
                 auto literal = sym.eval(symbol_value_map);
                 if (literal != value) {
-                    _VERBOSE_LOG(" mismatch between literal symbol & value : ", literal, " != ", value);
+                    _VERBOSE_LOG(" mismatch between literal symbol & value(",
+                                 sym.get_name(),
+                                 "): ",
+                                 literal,
+                                 " != ",
+                                 value);
                     return false;
                 }
                 // no need to put literal into value map to eval them.
@@ -1373,7 +1438,9 @@ class PatternValidator {
                     }
                 }
                 if (!is_match) {
-                    _VERBOSE_LOG(" mismatch between derived & value : ",
+                    _VERBOSE_LOG(" mismatch between derived & value(",
+                                 sym.get_name(),
+                                 "): ",
                                  std::setprecision(std::numeric_limits<float>::max_digits10),
                                  derived,
                                  " != ",
diff --git a/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.cpp b/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.cpp
index 447adb0b2fe23f..fe4a71f44be958 100644
--- a/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.cpp
+++ b/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.cpp
@@ -12,6 +12,7 @@
 #include <openvino/opsets/opset13.hpp>
 #include <openvino/opsets/opset6.hpp>
 #include <openvino/opsets/opset8.hpp>
+#include <openvino/pass/manager.hpp>
 #include <openvino/pass/pattern/op/or.hpp>
 #include <openvino/pass/pattern/op/wrap_type.hpp>
 #include <transformations/utils/gen_pattern.hpp>
@@ -20,7 +21,12 @@
 #include "itt.hpp"
 #include "openvino/opsets/opset1.hpp"
 #include "ov_ops/type_relaxed.hpp"
+#include "transformations/common_optimizations/simplify_shape_of_sub_graph.hpp"
 #include "transformations/cpu_opset/common/op/sdpa.hpp"
+#include "transformations/cpu_opset/x64/pass/sdpa_fuse_transpose_reshape.hpp"
+#include "transformations/defs.hpp"
+#include "transformations/op_conversions/convert_broadcast3.hpp"
+#include "transformations/transpose_sinking/ts_shape_of.hpp"
 using namespace ov::gen_pattern;
 
 namespace ov {
@@ -56,8 +62,9 @@ StatefulSDPAFusion::StatefulSDPAFusion() {
     std::shared_ptr<Node> reshape_k, reshape_v, unsqueeze_k, unsqueeze_v;
     std::shared_ptr<Node> computed_bcst_k, computed_bcst_v, multiply_k, multiply_v;
     std::shared_ptr<Node> mq_reshape_k, mq_reshape_v;
+    std::shared_ptr<Node> computed_bcst3_k, computed_bcst3_v;
     auto multi_query_bcst = [](const std::shared_ptr<Node>& kv) {
-        auto reshape_kv = wrap_type<opset6::Reshape>({kv, any_input()});
+        auto reshape_kv = makePattern<opset6::Reshape>({kv, any_input()});
         auto unsqueeze_kv = makePattern<opset1::Unsqueeze>({kv, any_input()});
 
         auto check_one = [](Output<Node> output) -> bool {
@@ -73,13 +80,17 @@ StatefulSDPAFusion::StatefulSDPAFusion() {
             makePattern<opset1::Broadcast>({wrap_type<opset1::Constant>(check_one), any_input(), any_input()},
                                            {{"mode", "numpy"}});
 
-        auto multiply_kv = wrap_type<opset6::Multiply>({reshape_kv | unsqueeze_kv, constant_bcst | computed_bcst});
-        auto result = wrap_type<opset6::Reshape>({multiply_kv, any_input()});
-        return std::make_tuple(result, reshape_kv, unsqueeze_kv, computed_bcst, multiply_kv);
+        auto multiply_kv = makePattern<opset6::Multiply>({reshape_kv | unsqueeze_kv, constant_bcst | computed_bcst});
+        auto computed_bcst3 = makePattern<opset3::Broadcast>({unsqueeze_kv, any_input()}, {{"mode", "bidirectional"}});
+
+        auto result = makePattern<opset6::Reshape>({multiply_kv | computed_bcst3, any_input()});
+        return std::make_tuple(result, reshape_kv, unsqueeze_kv, computed_bcst, multiply_kv, computed_bcst3);
     };
 
-    std::tie(mq_reshape_k, reshape_k, unsqueeze_k, computed_bcst_k, multiply_k) = multi_query_bcst(concat_k);
-    std::tie(mq_reshape_v, reshape_v, unsqueeze_v, computed_bcst_v, multiply_v) = multi_query_bcst(concat_v);
+    std::tie(mq_reshape_k, reshape_k, unsqueeze_k, computed_bcst_k, multiply_k, computed_bcst3_k) =
+        multi_query_bcst(concat_k);
+    std::tie(mq_reshape_v, reshape_v, unsqueeze_v, computed_bcst_v, multiply_v, computed_bcst3_v) =
+        multi_query_bcst(concat_v);
     auto present_k = concat_k | mq_reshape_k;
     auto present_v = concat_v | mq_reshape_v;
 
@@ -178,15 +189,19 @@ StatefulSDPAFusion::StatefulSDPAFusion() {
 
         opset6::Assign *assign_k_node = nullptr, *assign_v_node = nullptr;
         opset1::Convert *assign_cvt_k_node = nullptr, *assign_cvt_v_node = nullptr;
-        if (!find_assign(concat_k_node, assign_k_node, assign_cvt_k_node))
+        if (!find_assign(concat_k_node, assign_k_node, assign_cvt_k_node)) {
             return false;
-        if (past_k_node->get_variable_id() != assign_k_node->get_variable_id())
+        }
+        if (past_k_node->get_variable_id() != assign_k_node->get_variable_id()) {
             return false;
+        }
 
-        if (!find_assign(concat_v_node, assign_v_node, assign_cvt_v_node))
+        if (!find_assign(concat_v_node, assign_v_node, assign_cvt_v_node)) {
             return false;
-        if (past_v_node->get_variable_id() != assign_v_node->get_variable_id())
+        }
+        if (past_v_node->get_variable_id() != assign_v_node->get_variable_id()) {
             return false;
+        }
 
         auto is_optional_one_child = [&pattern_map](const std::vector<std::shared_ptr<Node>>& nodes) {
             for (auto&& node : nodes) {
@@ -212,7 +227,9 @@ StatefulSDPAFusion::StatefulSDPAFusion() {
                                     computed_bcst_v,
                                     multiply_v,
                                     mq_reshape_k,
-                                    mq_reshape_v})) {
+                                    mq_reshape_v,
+                                    computed_bcst3_k,
+                                    computed_bcst3_v})) {
             return false;
         }
 
@@ -284,5 +301,18 @@ StatefulSDPAFusion::StatefulSDPAFusion() {
     this->register_matcher(m, callback);
 }
 
+bool SDPASubgraphFusion::run_on_model(const std::shared_ptr<ov::Model>& f) {
+    RUN_ON_FUNCTION_SCOPE(SDPASubgraphFusion);
+    ov::pass::Manager manager("SDPASubgraphFusion");
+
+    CPU_REGISTER_PASS_COMMON(manager, ov::pass::SimplifyGatherShapeOf);
+    CPU_REGISTER_PASS_COMMON(manager, ov::pass::transpose_sinking::TSShapeOfForward);
+    CPU_REGISTER_PASS_COMMON(manager, StatefulSDPAFusion);
+    CPU_REGISTER_PASS_X64(manager, SDPAFuseTransposeReshape);
+
+    manager.run_passes(f);
+    return false;
+}
+
 }  // namespace intel_cpu
 }  // namespace ov
diff --git a/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.hpp b/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.hpp
index 96028402aa9f92..59494736bb2c2e 100644
--- a/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.hpp
+++ b/src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/stateful_sdpa_fusion.hpp
@@ -14,5 +14,12 @@ class StatefulSDPAFusion : public ov::pass::MatcherPass {
     StatefulSDPAFusion();
 };
 
+class SDPASubgraphFusion : public ov::pass::ModelPass {
+public:
+    OPENVINO_RTTI("SDPASubgraphFusion", "0");
+
+    bool run_on_model(const std::shared_ptr<ov::Model>& f) override;
+};
+
 }  // namespace intel_cpu
 }  // namespace ov
diff --git a/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp b/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
index fb9e0925bc89e2..9fca3f1a62709b 100644
--- a/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
+++ b/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
@@ -430,6 +430,7 @@ void Transformations::PreLpt(const std::vector<ov::element::Type>& defaultPrecis
         ov::pass::KeepConstAndDecompression);
 
     CPU_REGISTER_PASS_COMMON(manager, ov::pass::AUGRUCellFusion);
+    CPU_REGISTER_PASS_COMMON(manager, SDPASubgraphFusion);
     CPU_REGISTER_PASS_COMMON(manager, ov::pass::CommonOptimizations);
     CPU_REGISTER_PASS_X64(manager, ov::pass::KeepConstsPrecision, decompression_precisions, false, true);
     CPU_SET_CALLBACK_X64(
@@ -653,16 +654,6 @@ void Transformations::PreLpt(const std::vector<ov::element::Type>& defaultPrecis
     CPU_SET_CALLBACK_COMMON(manager, nmsCallback, ov::pass::ConvertNMS9ToNMSIEInternal);
     CPU_SET_CALLBACK_COMMON(manager, nmsCallback, ov::pass::ConvertMulticlassNmsToMulticlassNmsIE);
     CPU_SET_CALLBACK_COMMON(manager, nmsCallback, ov::pass::ConvertMatrixNmsToMatrixNmsIE);
-    CPU_SET_CALLBACK_COMMON(
-        manager,
-        [this](const_node_ptr& node) -> bool {
-            std::string errorMsg;
-            // Current SDPA impl is optimized only for LLM models, so we decompose it for others to avoid perf
-            // regression. Matching the pattern is a little complicated, so we just check if there is any state nodes.
-            return node::ScaledDotProductAttention::isSupportedOperation(node, errorMsg) &&
-                   model->get_variables().size() > 0;
-        },
-        ov::pass::ScaledDotProductAttentionDecomposition);
 
     // List of enabled/disabled transformations
 
@@ -944,9 +935,6 @@ void Transformations::PostLpt() {
     }
 #endif  // OPENVINO_ARCH_X86_64
 
-    CPU_REGISTER_PASS_COMMON(postLPTPassManager, ov::pass::transpose_sinking::TSShapeOfForward);
-    CPU_REGISTER_PASS_COMMON(postLPTPassManager, StatefulSDPAFusion);
-    CPU_REGISTER_PASS_X64(postLPTPassManager, ov::intel_cpu::SDPAFuseTransposeReshape);
     CPU_REGISTER_PASS_X64(postLPTPassManager, ov::pass::RMSFusion, false);
     CPU_REGISTER_PASS_X64(postLPTPassManager, ov::intel_cpu::DecomposeRMSNorm);
     CPU_SET_CALLBACK_X64(
diff --git a/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_multiple_query_sdp.cpp b/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_multiple_query_sdp.cpp
index d74ab99fb3d5ab..fe5ba2b7eac5e7 100644
--- a/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_multiple_query_sdp.cpp
+++ b/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_multiple_query_sdp.cpp
@@ -152,9 +152,9 @@ class ConcatMultiQuerySDPTest : public testing::WithParamInterface<ConcatMultiQu
         auto unsqueezeK = std::make_shared<ov::op::v0::Unsqueeze>(concatK, unsquezeAxis);
         auto unsqueezeV = std::make_shared<ov::op::v0::Unsqueeze>(concatV, unsquezeAxis);
 
-        auto targetShape = ov::op::v0::Constant::create(qkvType, {1, 1, 1, 4, 1}, {1});
-        auto broadcastK = std::make_shared<ov::op::v1::Multiply>(unsqueezeK, targetShape);
-        auto broadcastV = std::make_shared<ov::op::v1::Multiply>(unsqueezeV, targetShape);
+        auto targetShape = ov::op::v0::Constant::create(element::i32, {5}, {1, 1, 1, 4, 1});
+        auto broadcastK = std::make_shared<ov::op::v3::Broadcast>(unsqueezeK, targetShape, op::BroadcastType::BIDIRECTIONAL);
+        auto broadcastV = std::make_shared<ov::op::v3::Broadcast>(unsqueezeV, targetShape, op::BroadcastType::BIDIRECTIONAL);
 
         auto target4D = ov::op::v0::Constant::create(ov::element::i32, {4}, {0, 0, 8, 64});
 
diff --git a/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_transpose_sdp_transpose.cpp b/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_transpose_sdp_transpose.cpp
index f4166544af2bf2..8ba978e32c4b9c 100644
--- a/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_transpose_sdp_transpose.cpp
+++ b/src/plugins/intel_cpu/tests/functional/custom/subgraph_tests/src/common/concat_transpose_sdp_transpose.cpp
@@ -71,7 +71,7 @@ class ConcatSDPTransposeTestBase : public testing::WithParamInterface<ConcatSDPT
             result << ")_";
         }
         result << "Prc=" << inType << "_";
-        result << "HasShapeOf=" << hasShapeof;
+        result << "HasShapeOf=" << hasShapeof << "_";
         result << "TransposeOrder=";
         result << "(";
         for (const auto& itr : transposeOrder) {
@@ -85,7 +85,6 @@ class ConcatSDPTransposeTestBase : public testing::WithParamInterface<ConcatSDPT
     void SetUp() override {
         ElementType inType;
         InputShapeAndTransposeOrder inputShapeAndOrders;
-        bool hasShapeOf;
         std::tie(inType, inputShapeAndOrders, hasShapeOf) = this->GetParam();
         std::vector<InputShape>& inputShapes = inputShapeAndOrders.first;
         transposeOrder = inputShapeAndOrders.second;
@@ -124,6 +123,10 @@ class ConcatSDPTransposeTestBase : public testing::WithParamInterface<ConcatSDPT
         // pre SDPA transpose
         auto preOrder = ov::op::v0::Constant::create(ov::element::i32, {4}, transposeOrder);
         auto transposeQ = std::make_shared<ov::op::v1::Transpose>(inputParams[0], preOrder);
+        std::shared_ptr<ov::Node> transposeQ_shapeof;
+        if (hasShapeOf) {
+            transposeQ_shapeof = std::make_shared<ov::op::v0::ShapeOf>(transposeQ);
+        }
 
         auto concat_axis = transposeOrder[2];
         auto beam_idx = std::make_shared<ov::op::v0::Parameter>(ElementType::i32, ov::PartialShape{-1});
@@ -166,6 +169,7 @@ class ConcatSDPTransposeTestBase : public testing::WithParamInterface<ConcatSDPT
         if (hasShapeOf) {
             results.push_back(pastk_shapeof);
             results.push_back(pastv_shapeof);
+            results.push_back(transposeQ_shapeof);
         }
         ov::SinkVector sinks{pastk_assign, pastv_assign};
         function = std::make_shared<ov::Model>(results, sinks, inputParams, "ConcatTranposeSDP");
@@ -237,6 +241,7 @@ class ConcatSDPTransposeTestBase : public testing::WithParamInterface<ConcatSDPT
         }
     }
     std::vector<size_t> transposeOrder;
+    bool hasShapeOf;
 };
 
 class ConcatSDPTransposeTest : public ConcatSDPTransposeTestBase {
@@ -287,7 +292,10 @@ TEST_P(ConcatSDPTransposeTest, CompareWithRefs) {
     CheckNumberOfNodesWithType(compiledModel, "Concatenation", 0);
     CheckNumberOfNodesWithType(compiledModel, "Reorder", 0);
     CheckNumberOfNodesWithType(compiledModel, "Transpose", 1);
-    CheckNumberOfNodesWithType(compiledModel, "Gather", 0);
+    // Transformation TSShapeOfForward will change:
+    // ?->transpose->shapeof ==> ?-->shapeof->gather
+    //                            |->transpose
+    CheckNumberOfNodesWithType(compiledModel, "Gather", hasShapeOf ? 1 : 0);
     auto expectedOutputs = run_test(functionRefs);
     CheckNumberOfNodesWithType(compiledModel, "ScaledDotProductAttention", 0);
     for (size_t i = 0; i < actualOutputs.size(); i++) {