diff --git a/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts b/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
index e3598fd15d0e..9b3242b996f7 100644
--- a/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
+++ b/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
@@ -35,14 +35,14 @@ test('should create AI spans with correct attributes', async ({ page }) => {
   expect(firstPipelineSpan?.data?.['ai.model.id']).toBe('mock-model-id');
   expect(firstPipelineSpan?.data?.['ai.model.provider']).toBe('mock-provider');
   expect(firstPipelineSpan?.data?.['ai.prompt']).toContain('Where is the first span?');
-  expect(firstPipelineSpan?.data?.['ai.response.text']).toBe('First span here!');
+  expect(firstPipelineSpan?.data?.['gen_ai.response.text']).toBe('First span here!');
   expect(firstPipelineSpan?.data?.['gen_ai.usage.input_tokens']).toBe(10);
   expect(firstPipelineSpan?.data?.['gen_ai.usage.output_tokens']).toBe(20); */
 
   // Second AI call - explicitly enabled telemetry
   const secondPipelineSpan = aiPipelineSpans[0];
   expect(secondPipelineSpan?.data?.['ai.prompt']).toContain('Where is the second span?');
-  expect(secondPipelineSpan?.data?.['ai.response.text']).toContain('Second span here!');
+  expect(secondPipelineSpan?.data?.['gen_ai.response.text']).toContain('Second span here!');
 
   // Third AI call - with tool calls
   /*  const thirdPipelineSpan = aiPipelineSpans[2];
@@ -51,7 +51,7 @@ test('should create AI spans with correct attributes', async ({ page }) => {
   expect(thirdPipelineSpan?.data?.['gen_ai.usage.output_tokens']).toBe(25); */
 
   // Tool call span
- /*  const toolSpan = toolCallSpans[0];
+  /*  const toolSpan = toolCallSpans[0];
   expect(toolSpan?.data?.['ai.toolCall.name']).toBe('getWeather');
   expect(toolSpan?.data?.['ai.toolCall.id']).toBe('call-1');
   expect(toolSpan?.data?.['ai.toolCall.args']).toContain('San Francisco');
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument-with-pii.mjs b/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument-with-pii.mjs
index b798e21228f5..d69f7dca5feb 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument-with-pii.mjs
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument-with-pii.mjs
@@ -7,5 +7,5 @@ Sentry.init({
   tracesSampleRate: 1.0,
   sendDefaultPii: true,
   transport: loggingTransport,
-  integrations: [Sentry.vercelAIIntegration()],
+  integrations: [Sentry.vercelAIIntegration({ force: true })],
 });
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument.mjs b/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument.mjs
index 5e898ee1949d..e4cd7b9cabd7 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument.mjs
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/instrument.mjs
@@ -6,5 +6,5 @@ Sentry.init({
   release: '1.0',
   tracesSampleRate: 1.0,
   transport: loggingTransport,
-  integrations: [Sentry.vercelAIIntegration()],
+  integrations: [Sentry.vercelAIIntegration({ force: true })],
 });
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
index fdeec051389f..946e2067212b 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
@@ -73,7 +73,7 @@ describe('Vercel AI integration', () => {
           'ai.pipeline.name': 'generateText',
           'ai.prompt': '{"prompt":"Where is the second span?"}',
           'ai.response.finishReason': 'stop',
-          'ai.response.text': expect.any(String),
+          'gen_ai.response.text': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
@@ -108,10 +108,10 @@ describe('Vercel AI integration', () => {
           'ai.response.finishReason': 'stop',
           'ai.response.model': 'mock-model-id',
           'ai.response.id': expect.any(String),
-          'ai.response.text': expect.any(String),
+          'gen_ai.response.text': expect.any(String),
           'ai.response.timestamp': expect.any(String),
           'ai.prompt.format': expect.any(String),
-          'ai.prompt.messages': expect.any(String),
+          'gen_ai.request.messages': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
@@ -210,7 +210,7 @@ describe('Vercel AI integration', () => {
           'ai.pipeline.name': 'generateText',
           'ai.prompt': '{"prompt":"Where is the first span?"}',
           'ai.response.finishReason': 'stop',
-          'ai.response.text': 'First span here!',
+          'gen_ai.response.text': 'First span here!',
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
@@ -236,11 +236,11 @@ describe('Vercel AI integration', () => {
           'ai.operationId': 'ai.generateText.doGenerate',
           'ai.pipeline.name': 'generateText.doGenerate',
           'ai.prompt.format': 'prompt',
-          'ai.prompt.messages': '[{"role":"user","content":[{"type":"text","text":"Where is the first span?"}]}]',
+          'gen_ai.request.messages': '[{"role":"user","content":[{"type":"text","text":"Where is the first span?"}]}]',
           'ai.response.finishReason': 'stop',
           'ai.response.id': expect.any(String),
           'ai.response.model': 'mock-model-id',
-          'ai.response.text': 'First span here!',
+          'gen_ai.response.text': 'First span here!',
           'ai.response.timestamp': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.streaming': false,
@@ -270,7 +270,7 @@ describe('Vercel AI integration', () => {
           'ai.pipeline.name': 'generateText',
           'ai.prompt': '{"prompt":"Where is the second span?"}',
           'ai.response.finishReason': 'stop',
-          'ai.response.text': expect.any(String),
+          'gen_ai.response.text': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
@@ -305,10 +305,10 @@ describe('Vercel AI integration', () => {
           'ai.response.finishReason': 'stop',
           'ai.response.model': 'mock-model-id',
           'ai.response.id': expect.any(String),
-          'ai.response.text': expect.any(String),
+          'gen_ai.response.text': expect.any(String),
           'ai.response.timestamp': expect.any(String),
           'ai.prompt.format': expect.any(String),
-          'ai.prompt.messages': expect.any(String),
+          'gen_ai.request.messages': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
@@ -330,8 +330,8 @@ describe('Vercel AI integration', () => {
           'ai.pipeline.name': 'generateText',
           'ai.prompt': '{"prompt":"What is the weather in San Francisco?"}',
           'ai.response.finishReason': 'tool-calls',
-          'ai.response.text': 'Tool call completed!',
-          'ai.response.toolCalls': expect.any(String),
+          'gen_ai.response.text': 'Tool call completed!',
+          'gen_ai.response.tool_calls': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
@@ -357,15 +357,15 @@ describe('Vercel AI integration', () => {
           'ai.operationId': 'ai.generateText.doGenerate',
           'ai.pipeline.name': 'generateText.doGenerate',
           'ai.prompt.format': expect.any(String),
-          'ai.prompt.messages': expect.any(String),
+          'gen_ai.request.messages': expect.any(String),
           'ai.prompt.toolChoice': expect.any(String),
-          'ai.prompt.tools': expect.any(Array),
+          'gen_ai.request.available_tools': expect.any(Array),
           'ai.response.finishReason': 'tool-calls',
           'ai.response.id': expect.any(String),
           'ai.response.model': 'mock-model-id',
-          'ai.response.text': 'Tool call completed!',
+          'gen_ai.response.text': 'Tool call completed!',
           'ai.response.timestamp': expect.any(String),
-          'ai.response.toolCalls': expect.any(String),
+          'gen_ai.response.tool_calls': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.streaming': false,
           'gen_ai.request.model': 'mock-model-id',
diff --git a/packages/node/src/integrations/tracing/vercelai/index.ts b/packages/node/src/integrations/tracing/vercelai/index.ts
index 6a9d7bdb6d53..5c7a0ed5d959 100644
--- a/packages/node/src/integrations/tracing/vercelai/index.ts
+++ b/packages/node/src/integrations/tracing/vercelai/index.ts
@@ -9,6 +9,10 @@ import {
   AI_MODEL_ID_ATTRIBUTE,
   AI_MODEL_PROVIDER_ATTRIBUTE,
   AI_PROMPT_ATTRIBUTE,
+  AI_PROMPT_MESSAGES_ATTRIBUTE,
+  AI_PROMPT_TOOLS_ATTRIBUTE,
+  AI_RESPONSE_TEXT_ATTRIBUTE,
+  AI_RESPONSE_TOOL_CALLS_ATTRIBUTE,
   AI_TELEMETRY_FUNCTION_ID_ATTRIBUTE,
   AI_TOOL_CALL_ID_ATTRIBUTE,
   AI_TOOL_CALL_NAME_ATTRIBUTE,
@@ -193,6 +197,24 @@ const _vercelAIIntegration = ((options: VercelAiOptions = {}) => {
                 attributes['gen_ai.usage.total_tokens'] =
                   attributes[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] + attributes[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE];
               }
+
+              // Rename AI SDK attributes to standardized gen_ai attributes
+              if (attributes[AI_PROMPT_MESSAGES_ATTRIBUTE] != undefined) {
+                attributes['gen_ai.request.messages'] = attributes[AI_PROMPT_MESSAGES_ATTRIBUTE];
+                delete attributes[AI_PROMPT_MESSAGES_ATTRIBUTE];
+              }
+              if (attributes[AI_RESPONSE_TEXT_ATTRIBUTE] != undefined) {
+                attributes['gen_ai.response.text'] = attributes[AI_RESPONSE_TEXT_ATTRIBUTE];
+                delete attributes[AI_RESPONSE_TEXT_ATTRIBUTE];
+              }
+              if (attributes[AI_RESPONSE_TOOL_CALLS_ATTRIBUTE] != undefined) {
+                attributes['gen_ai.response.tool_calls'] = attributes[AI_RESPONSE_TOOL_CALLS_ATTRIBUTE];
+                delete attributes[AI_RESPONSE_TOOL_CALLS_ATTRIBUTE];
+              }
+              if (attributes[AI_PROMPT_TOOLS_ATTRIBUTE] != undefined) {
+                attributes['gen_ai.request.available_tools'] = attributes[AI_PROMPT_TOOLS_ATTRIBUTE];
+                delete attributes[AI_PROMPT_TOOLS_ATTRIBUTE];
+              }
             }
           }