diff --git a/docs/getting-started.md b/docs/getting-started.md
index bf40fda6..64575b12 100644
--- a/docs/getting-started.md
+++ b/docs/getting-started.md
@@ -35,7 +35,13 @@ icon: "rocket"
 pip install semantica
 ```
 
-For virtual environments, extras, and platform-specific setup, see the full [Installation guide](installation).
+With all optional dependencies:
+
+```bash
+pip install semantica[all]
+```
+
+For virtual environments and platform-specific setup, see the full [Installation](installation).
 
 Verify:
 
diff --git a/docs/index.md b/docs/index.md
index bde45049..b80b7807 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -184,6 +184,9 @@ pip install semantica==0.5.0
 If you're new to Semantica, install first and then open [Quickstart](quickstart). Use [Core Concepts](concepts) or [API Reference](reference/context) when you need more context or exact details.
 
 <CardGroup cols={2}>
+  <Card title="Installation" icon="download" href="installation">
+    Get Semantica installed in under a minute.
+  </Card>
   <Card title="Quickstart" icon="rocket" href="quickstart">
     Build a complete knowledge graph pipeline in 5 minutes.
   </Card>
diff --git a/docs/installation.md b/docs/installation.md
index 1955d9a8..b1cf5cb4 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -181,7 +181,7 @@ Install the [Microsoft Visual C++ Redistributable](https://aka.ms/vs/17/release/
 ## Next Steps
 
 <CardGroup cols={3}>
-  <Card title="Read the Overview" icon="rocket" href="getting-started">
+  <Card title="Getting Started" icon="rocket" href="getting-started">
     Understand what Semantica does before you build.
   </Card>
   <Card title="Build the Pipeline" icon="play" href="quickstart">
diff --git a/docs/quickstart.md b/docs/quickstart.md
index 9b6e499d..00767e6c 100644
--- a/docs/quickstart.md
+++ b/docs/quickstart.md
@@ -8,7 +8,7 @@ icon: "rocket"
   **v0.5.0** — Ontology Hub, Distance Intelligence, Parquet & XML ingestion, 12 security fixes. [What's new →](index#whats-new)
 </Info>
 
-This guide walks you through the end-to-end pipeline for building your first knowledge graph in 5 minutes. Start here after installation. If you still need setup help, see the [Installation guide](installation). You need Python 3.8+ and nothing else to start. An LLM API key is optional; pattern-based extraction works out of the box.
+This guide walks you through the end-to-end pipeline for building your first knowledge graph in 5 minutes. Start here after installation. If you still need setup help, see [Installation](installation). You need Python 3.8+ and nothing else to start. An LLM API key is optional; pattern-based extraction works out of the box.
 
 ---