diff --git a/tests/integrations/google_ai_studio/google_ai_studio_test.py b/tests/integrations/google_ai_studio/google_ai_studio_test.py
index 01a610d4117..11e947e6255 100644
--- a/tests/integrations/google_ai_studio/google_ai_studio_test.py
+++ b/tests/integrations/google_ai_studio/google_ai_studio_test.py
@@ -54,7 +54,7 @@ def test_content_generation(client):
 
     genai.configure(api_key=os.getenv("GOOGLE_GENAI_KEY"))
     model = genai.GenerativeModel("gemini-1.5-flash")
-    model.generate_content("Explain how AI works in simple terms")
+    model.generate_content("What is the capital of France?")
 
     calls = list(client.calls())
     assert len(calls) == 1
@@ -64,7 +64,7 @@ def test_content_generation(client):
 
     trace_name = op_name_from_ref(call.op_name)
     assert trace_name == "google.generativeai.GenerativeModel.generate_content"
-    assert call.output is not None
+    assert "paris" in str(call.output).lower()
     # TODO: Re-enable after dictify is fixed
     # assert_correct_output_shape(call.output)
     # assert_correct_summary(call.summary, trace_name)
@@ -77,9 +77,7 @@ def test_content_generation_stream(client):
 
     genai.configure(api_key=os.getenv("GOOGLE_GENAI_KEY"))
     model = genai.GenerativeModel("gemini-1.5-flash")
-    response = model.generate_content(
-        "Explain how AI works in simple terms", stream=True
-    )
+    response = model.generate_content("What is the capital of France?", stream=True)
     chunks = [chunk.text for chunk in response]
     assert len(chunks) > 1
 
@@ -91,7 +89,7 @@ def test_content_generation_stream(client):
 
     trace_name = op_name_from_ref(call.op_name)
     assert trace_name == "google.generativeai.GenerativeModel.generate_content"
-    assert call.output is not None
+    assert "paris" in str(call.output).lower()
     # TODO: Re-enable after dictify is fixed
     # assert_correct_output_shape(call.output)
     # assert_correct_summary(call.summary, trace_name)
@@ -106,7 +104,7 @@ async def test_content_generation_async(client):
     genai.configure(api_key=os.getenv("GOOGLE_GENAI_KEY"))
     model = genai.GenerativeModel("gemini-1.5-flash")
 
-    _ = await model.generate_content_async("Explain how AI works in simple terms")
+    _ = await model.generate_content_async("What is the capital of France?")
 
     calls = list(client.calls())
     assert len(calls) == 1
@@ -115,7 +113,7 @@ async def test_content_generation_async(client):
     assert call.started_at < call.ended_at
     trace_name = op_name_from_ref(call.op_name)
     assert trace_name == "google.generativeai.GenerativeModel.generate_content_async"
-    assert call.output is not None
+    assert "paris" in str(call.output).lower()
     # TODO: Re-enable after dictify is fixed
     # assert_correct_output_shape(call.output)
     # assert_correct_summary(call.summary, trace_name)
@@ -143,10 +141,10 @@ def test_send_message(client):
     assert call.started_at < call.ended_at
     trace_name = op_name_from_ref(call.op_name)
     assert trace_name == "google.generativeai.ChatSession.send_message"
-    assert call.output is not None
+    assert "executable_code" in str(call.output).lower()
 
     call = calls[1]
     assert call.started_at < call.ended_at
     trace_name = op_name_from_ref(call.op_name)
     assert trace_name == "google.generativeai.GenerativeModel.generate_content"
-    assert call.output is not None
+    assert "executable_code" in str(call.output).lower()