diff --git a/backend/onyx/seeding/initial_docs.json b/backend/onyx/seeding/initial_docs.json
index cff2b69ee6..23e2d39f06 100644
--- a/backend/onyx/seeding/initial_docs.json
+++ b/backend/onyx/seeding/initial_docs.json
@@ -6184,7 +6184,7 @@
         "chunk_ind": 0
     },
     {
-        "url": "https://docs.onyx.app/more/use_cases/customer_support",
+        "url": "https://docs.onyx.app/more/use_cases/support",
         "title": "Customer Support",
         "content": "Help your customer support team instantly answer any question across your entire product.\n\nAI Enabled Support\nCustomer support agents have one of the highest breadth jobs. They field requests that cover the entire surface area of the product and need to help your users find success on extremely short timelines. Because they're not the same people who designed or built the system, they often lack the depth of understanding needed - resulting in delays and escalations to other teams. Modern teams are leveraging AI to help their CS team optimize the speed and quality of these critical customer-facing interactions.\n\nThe Importance of Context\nThere are two critical components of AI copilots for customer support. The first is that the AI system needs to be connected with as much information as possible (not just support tools like Zendesk or Intercom) and that the knowledge needs to be as fresh as possible. Sometimes a fix might even be in places rarely checked by CS such as pull requests in a code repository. The second critical component is the ability of the AI system to break down difficult concepts and convoluted processes into more digestible descriptions and for your team members to be able to chat back and forth with the system to build a better understanding.\n\nOnyx takes care of both of these. The system connects up to over 30+ different applications and the knowledge is pulled in constantly so that the information access is always up to date.",
         "title_embedding": [
diff --git a/backend/onyx/seeding/initial_docs_cohere.json b/backend/onyx/seeding/initial_docs_cohere.json
index 86f8a2f327..d6944e7298 100644
--- a/backend/onyx/seeding/initial_docs_cohere.json
+++ b/backend/onyx/seeding/initial_docs_cohere.json
@@ -24,7 +24,7 @@
     "chunk_ind": 0
   },
   {
-    "url": "https://docs.onyx.app/more/use_cases/customer_support",
+    "url": "https://docs.onyx.app/more/use_cases/support",
     "title": "Customer Support",
     "content": "Help your customer support team instantly answer any question across your entire product.\n\nAI Enabled Support\nCustomer support agents have one of the highest breadth jobs. They field requests that cover the entire surface area of the product and need to help your users find success on extremely short timelines. Because they're not the same people who designed or built the system, they often lack the depth of understanding needed - resulting in delays and escalations to other teams. Modern teams are leveraging AI to help their CS team optimize the speed and quality of these critical customer-facing interactions.\n\nThe Importance of Context\nThere are two critical components of AI copilots for customer support. The first is that the AI system needs to be connected with as much information as possible (not just support tools like Zendesk or Intercom) and that the knowledge needs to be as fresh as possible. Sometimes a fix might even be in places rarely checked by CS such as pull requests in a code repository. The second critical component is the ability of the AI system to break down difficult concepts and convoluted processes into more digestible descriptions and for your team members to be able to chat back and forth with the system to build a better understanding.\n\nOnyx takes care of both of these. The system connects up to over 30+ different applications and the knowledge is pulled in constantly so that the information access is always up to date.",
     "chunk_ind": 0
diff --git a/backend/scripts/document_seeding_prep.py b/backend/scripts/document_seeding_prep.py
index ab77ade813..4b643ef4e5 100644
--- a/backend/scripts/document_seeding_prep.py
+++ b/backend/scripts/document_seeding_prep.py
@@ -197,7 +197,7 @@ ai_platform_doc = SeedPresaveDocument(
 )
 
 customer_support_doc = SeedPresaveDocument(
-    url="https://docs.onyx.app/more/use_cases/customer_support",
+    url="https://docs.onyx.app/more/use_cases/support",
     title=customer_support_title,
     content=customer_support,
     title_embedding=model.encode(f"search_document: {customer_support_title}"),