diff --git a/CHANGELOG.md b/CHANGELOG.md
index ac9a48cf..af5ce099 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,10 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [Unreleased]
+
+### Added
+- If `Column.Model` is not provided in `VisualApp`, then default model name added to dataframe ([#235](https://github.com/MobileTeleSystems/RecTools/pull/235))
 
 ## [0.9.0] - 11.12.2024
 
diff --git a/rectools/visuals/visual_app.py b/rectools/visuals/visual_app.py
index 2de67abf..a2a6d89d 100644
--- a/rectools/visuals/visual_app.py
+++ b/rectools/visuals/visual_app.py
@@ -29,6 +29,7 @@
 MIN_WIDTH_LIMIT = 10
 REQUEST_NAMES_COL = "request_name"
 REQUEST_IDS_COL = "request_id"
+DEFAULT_MODEL_NAME = "model"
 
 VisualAppT = tp.TypeVar("VisualAppT", bound="VisualAppBase")
 
@@ -71,7 +72,8 @@ def from_raw(
         ----------
         reco : tp.Union[pd.DataFrame, TablesDict]
             Recommendations from different models in a form of a pd.DataFrame or a dict.
-            In DataFrame form model names must be specified in `Columns.Model` column. In dict form
+            In DataFrame form model names must be specified in `Columns.Model` column.
+            If not, `Columns.Model` column will be created with default value ``model1``. In dict form
             model names are supposed to be dict keys.
         item_data : pd.DataFrame
             Data for items that is used for visualisation in both interactions and recommendations
@@ -100,7 +102,7 @@ def from_raw(
 
         if isinstance(reco, pd.DataFrame):
             if Columns.Model not in reco.columns:
-                raise KeyError("Missing `{Columns.Model}` column in `reco` DataFrame")
+                reco[Columns.Model] = DEFAULT_MODEL_NAME
             reco = cls._df_to_tables_dict(reco, Columns.Model)
         cls._check_columns_present_in_reco(reco=reco, id_col=id_col)
 
diff --git a/tests/visuals/test_visual_app.py b/tests/visuals/test_visual_app.py
index ab724f7f..eb05ada3 100644
--- a/tests/visuals/test_visual_app.py
+++ b/tests/visuals/test_visual_app.py
@@ -21,7 +21,14 @@
 import pytest
 
 from rectools import Columns, ExternalId
-from rectools.visuals.visual_app import AppDataStorage, ItemToItemVisualApp, StorageFiles, TablesDict, VisualApp
+from rectools.visuals.visual_app import (
+    DEFAULT_MODEL_NAME,
+    AppDataStorage,
+    ItemToItemVisualApp,
+    StorageFiles,
+    TablesDict,
+    VisualApp,
+)
 
 RECO_U2I: TablesDict = {
     "model1": pd.DataFrame(
@@ -183,7 +190,6 @@ def test_empty_selected_requests(self, selected_requests: tp.Optional[tp.Dict[tp
         assert "random_2" in ads.selected_requests
 
     def test_missing_columns_validation(self) -> None:
-
         # Missing `Columns.User` for u2i
         with pytest.raises(KeyError):
             incorrect_u2i_reco: TablesDict = {
@@ -228,18 +234,29 @@ def test_missing_columns_validation(self) -> None:
                 selected_requests=SELECTED_REQUESTS_U2I,
             )
 
-        # Missing `Columns.Model` in reco pd.DataFrame
-        with pytest.raises(KeyError):
-            incorrect_reco = pd.DataFrame(
-                {Columns.User: [1, 2, 3, 4], Columns.Item: [3, 4, 3, 4], Columns.Score: [0.99, 0.9, 0.5, 0.5]}
-            )
-            AppDataStorage.from_raw(
-                reco=incorrect_reco,
-                item_data=ITEM_DATA,
-                interactions=INTERACTIONS,
-                is_u2i=True,
-                selected_requests=SELECTED_REQUESTS_U2I,
-            )
+    def test_successful_path_with_missing_model(self) -> None:
+        # Missing `Columns.Model`
+        reco_without_model = pd.DataFrame(
+            {Columns.User: [1, 2, 3, 4], Columns.Item: [3, 4, 3, 4], Columns.Score: [0.99, 0.9, 0.5, 0.5]}
+        )
+        ads = AppDataStorage.from_raw(
+            reco=reco_without_model,
+            item_data=ITEM_DATA,
+            interactions=INTERACTIONS,
+            is_u2i=True,
+            selected_requests=SELECTED_REQUESTS_U2I,
+        )
+        expected_grouped_reco = {
+            DEFAULT_MODEL_NAME: {
+                "user_one": pd.DataFrame({Columns.Item: [3], "feature_1": ["one"], Columns.Score: [0.99]}),
+                "user_three": pd.DataFrame({Columns.Item: [3], "feature_1": ["one"], Columns.Score: [0.5]}),
+            }
+        }
+        assert expected_grouped_reco.keys() == ads.grouped_reco.keys()
+        for model_name, model_reco in expected_grouped_reco.items():
+            assert model_reco.keys() == ads.grouped_reco[model_name].keys()
+            for user_name, user_reco in model_reco.items():
+                pd.testing.assert_frame_equal(user_reco, ads.grouped_reco[model_name][user_name])
 
     def test_incorrect_interactions_for_reco_case(self) -> None: