diff --git a/modules/ROOT/pages/agent-fabric-overview.adoc b/modules/ROOT/pages/agent-fabric-overview.adoc
index 244c3005..ff1ff74e 100644
--- a/modules/ROOT/pages/agent-fabric-overview.adoc
+++ b/modules/ROOT/pages/agent-fabric-overview.adoc
@@ -75,7 +75,7 @@ Before agents can orchestrate across your enterprise, your existing systems need
 ** Define custom logic for how agent requests are handled
 ** Orchestrate workflows that incorporate AI agents and external MCP services
 * When you need it: Use MCP Connector when you need to expose capabilities to agents that require custom logic, multi-system composition, orchestration with external MCP services, or transformation that configuration-based tools like MCP Bridge don’t cover.
-* Learn more: xref:mcp-connector::index.adoc[]
+* Learn more: xref:mcp-connector::index.adoc[MCP Connector]
 
 === A2A Connector
 
@@ -90,11 +90,11 @@ Before agents can orchestrate across your enterprise, your existing systems need
 
 * When you need it: Use A2A Connector when you have existing Mule applications that need to participate in agent networks as A2A-compliant agents.
 
-* Learn more: xref:a2a-connector::index.adoc[]
+* Learn more: xref:a2a-connector::index.adoc[A2A Connector]
 
 === Other AI Connectors
 
-* What it is: AI Connectors provide pre-built integrations to LLMs and vector databases, making them directly accessible inside Mule-based agentic workflows
+* What it is: AI Connectors provide pre-built integrations to LLMs and vector databases, making them directly accessible inside Mule-based agentic workflows.
 
 * Role in Agent Fabric: AI Connectors ensure that the LLMs and knowledge stores your organization already uses are available to agents without custom integration work. They connect your agentic workflows to the models and data that power agent reasoning and context.
 
@@ -106,12 +106,13 @@ Before agents can orchestrate across your enterprise, your existing systems need
 * When you need it: Use AI Connectors when your agents need to reason with LLMs or retrieve context from vector databases your organization already operates.
 
 * Learn more:
-** xref:agentforce-connector::index.adoc[]
-** xref:amazon-bedrock-connector::index.adoc[]
-** xref:einstein-ai-connector::index.adoc[]
-** xref:mulesoft-ai-chain-connector::index.adoc[]
-** xref:mulesoft-inference-connector::index.adoc[]
-** xref:mulesoft-vectors-connector::index.adoc[]
+** xref:agentforce-connector::index.adoc[Agentforce Connector]
+** xref:amazon-bedrock-connector::index.adoc[Amazon Bedrock Connector]
+** xref:einstein-ai-connector::index.adoc[Einstein AI Connector]
+** xref:mulesoft-ai-chain-connector::index.adoc[MuleSoft AI Chain Connector]
+** xref:mulesoft-inference-connector::index.adoc[MuleSoft Inference Connector]
+** xref:mulesoft-vectors-connector::index.adoc[MuleSoft Vectors Connector]
+** xref:mulesoft-webcrawler-connector::index.adoc[MuleSoft WebCrawler Connector]
 
 
 === B2B (Partner Manager)
diff --git a/modules/ROOT/pages/learning-map-mulesoft-ai.adoc b/modules/ROOT/pages/learning-map-mulesoft-ai.adoc
index d6a416cc..9675bbe8 100644
--- a/modules/ROOT/pages/learning-map-mulesoft-ai.adoc
+++ b/modules/ROOT/pages/learning-map-mulesoft-ai.adoc
@@ -69,6 +69,7 @@ Accelerate integration and agent development with AI using Anypoint Code Builder
   - xref:mulesoft-ai-chain-connector::index.adoc[MuleSoft AI Chain Connector]
   - xref:mulesoft-inference-connector::index.adoc[MuleSoft Inference Connector]
   - xref:mulesoft-vectors-connector::index.adoc[MuleSoft Vectors Connector]
+  - xref:mulesoft-webcrawler-connector::index.adoc[MuleSoft WebCrawler Connector]
 
 | image::reuse::lm_analyze_1.png[]
 [.lm-bold]##Observe and Gain Actionable Insights##