diff --git a/src/pages/[platform]/ai/conversation/index.mdx b/src/pages/[platform]/ai/conversation/index.mdx
index b9ed364ff48..6af2667f970 100644
--- a/src/pages/[platform]/ai/conversation/index.mdx
+++ b/src/pages/[platform]/ai/conversation/index.mdx
@@ -34,6 +34,10 @@ export function getStaticProps(context) {
 
 The conversation route simplifies the creation of AI-powered conversation interfaces in your application. It automatically sets up the necessary AppSync API components and Lambda functions to handle streaming multi-turn interactions with Amazon Bedrock foundation models.
 
+<Callout type="info">
+See [Supported Providers and Models](/[platform]/ai/concepts/models/#supported-providers-and-models) for a list of supported AI models.
+</Callout>
+
 ## Key Components
 
 1. **AppSync API**: Gateway to the conversation route.
diff --git a/src/pages/[platform]/ai/generation/index.mdx b/src/pages/[platform]/ai/generation/index.mdx
index 674e6bf4e43..c3e4d6b5eeb 100644
--- a/src/pages/[platform]/ai/generation/index.mdx
+++ b/src/pages/[platform]/ai/generation/index.mdx
@@ -34,6 +34,10 @@ AI generation routes are a request-response API used to generate structured outp
 - generated structured data from unstructured input
 - summarization
 
+<Callout type="info">
+See [Supported Providers and Models](/[platform]/ai/concepts/models/#supported-providers-and-models) for a list of supported AI models.
+</Callout>
+
 Under the hood, a generation route is an AWS AppSync query that ensures the AI model responds with the response type defined for the route.
 
 ## Generate Typed Objects
diff --git a/src/pages/[platform]/ai/set-up-ai/index.mdx b/src/pages/[platform]/ai/set-up-ai/index.mdx
index 7526472567a..a021cadf1c6 100644
--- a/src/pages/[platform]/ai/set-up-ai/index.mdx
+++ b/src/pages/[platform]/ai/set-up-ai/index.mdx
@@ -67,7 +67,7 @@ Then run the [Amplify sandbox](/[platform]/deploy-and-host/sandbox-environments/
 npx ampx sandbox
 ```
 
-This will provision the cloud resources you define in your amplify folder and watch for updates and redeploy them. 
+This will provision the cloud resources you define in your amplify folder and watch for updates and redeploy them.
 
 
 ## Build your AI backend
@@ -77,6 +77,10 @@ To build an AI backend, you define AI 'routes' in your Amplify Data schema. An A
 * **Conversation:** A conversation route is a streaming, multi-turn API. Conversations and messages are automatically stored in DynamoDB so users can resume conversations. Examples of this are any chat-based AI experience or conversational UI.
 * **Generation:** A single synchronous request-response API. A generation route is just an AppSync Query. Examples of this are: generating alt text for an image, generating structured data from unstructured input, summarization, etc.
 
+<Callout type="info">
+See [Supported Providers and Models](/[platform]/ai/concepts/models/#supported-providers-and-models) for a list of supported AI models.
+</Callout>
+
 To define AI routes, open your **amplify/data/resource.ts** file and use `a.generation()` and `a.conversation()` in your schema.
 
 ```ts title="amplify/data/resources.ts"
@@ -119,7 +123,7 @@ Conversation routes currently ONLY support owner-based authorization and generat
 
 </Callout>
 
-If you have the Amplify sandbox running, when you save this file it will pick up the changes and redeploy the necessary resources for you. 
+If you have the Amplify sandbox running, when you save this file it will pick up the changes and redeploy the necessary resources for you.
 
 ## Connect your frontend