diff --git a/index.qmd b/index.qmd
index 5ad404a..0e229ce 100644
--- a/index.qmd
+++ b/index.qmd
@@ -1,37 +1,31 @@
 
-The R-ArcGIS Bridge is a project designed to integrate the power of R with the greater ArcGIS ecosystem.
 
-## Integrate with ArcGIS Pro `{arcgisbinding}`
 
-`{arcgisbinding}`,the first package created under the R-ArcGIS Bridge, is designed to _bridge_ the powers of R and ArcGIS. 
-
-Using `{arcgisbinding}` you can read and write local data sources and take advantage of ArcGIS Pro's [projection engine](https://github.com/Esri/projection-engine-db-doc). 
-
-- Read and write local data sources with [`arc.write()`](https://r.esri.com/assets/arcgisbinding.pdf) and [`arc.open()`](https://r.esri.com/assets/arcgisbinding.pdf)
-- Convert to `{sf}` and `{raster}` objects with [`arc.data2sf()`](https://r.esri.com/assets/arcgisbinding.pdf) and [`arc.raster()`](https://r.esri.com/assets/arcgisbinding.pdf)
-
-_Get started by [installing `{arcgisbinding}`](arcgisbinding/installing-arcgisbinding.qmd)_
+:::{.fs-1 .fw-lighter .text-center .mt-4}
+_Building bridges between 
+<br>the R and ArcGIS ecosystems_ 
+:::
+<hr>
 
-### Geoprocessing Tools written in R
 
-The true power of `{arcgisbinding}` lies in it's ability to generate
-geoprocessing tools that execute R code.
+# Use ArcGIS Location Services 
 
-Read the documentation to get started building R-based geoprocessing tools! 
+The **`arcgis`** package for location services meets developers where they are at. At it's core, **`arcgis`** is a collection of R packages designed to interact with [ArcGIS Location Services](https://developers.arcgis.com/documentation/mapping-apis-and-services/) all from the comfort of R and your text editor. 
 
+ArcGIS Location Services are provided as REST API endpoints and **`arcgis`** makes interacting with the services using R native objects seamless.
 
-## Interact with Location Services
+# Interact with ArcGIS Pro
 
-The `{arcgis}` metapackage provides access to Esri location services enabling users to read and write data from their hosted or on prem Portals. 
+`{arcgisbinding}`, the first package created for the R-ArcGIS Bridge, is designed to bind the powers of R and ArcGIS. Using `{arcgisbinding}` you can read and write local data sources and take advantage of ArcGIS Pro's [projection engine](https://github.com/Esri/projection-engine-db-doc). 
 
-Follow along with the [introduction tutorial]() to get started interacting with your organziation's data directly from R! 
+Read and write local data sources with [`arc.write()`](https://r.esri.com/assets/arcgisbinding.pdf) and [`arc.open()`](https://r.esri.com/assets/arcgisbinding.pdf). Convert to `{sf}` and `{raster}` objects with [`arc.data2sf()`](https://r.esri.com/assets/arcgisbinding.pdf) and [`arc.raster()`](https://r.esri.com/assets/arcgisbinding.pdf). Or, create [geoprocessing script tools that use R](geoprocessing-tools.qmd).
 
+_Get started by [installing `{arcgisbinding}`.](arcgisbinding/installing-arcgisbinding.qmd)_
 
 ## Our R-packages
 
 ::: {layout-ncol=2}
 
-
 ::: {.card}
 [`{arcgisbinding}`](https://github.com/R-ArcGIS/r-bridge)
 
@@ -65,10 +59,3 @@ Process `FeatureCollection` protocol buffers in R using the power of Rust!
 :::
 
 :::
-
-
-## Not sure where to start?
-
-- Read and write Feature Services using `{arcgis}`
-- Create R based Geoprocessing tools
-- Access your enterprise geodatabase from R
diff --git a/location-services/overview.qmd b/location-services/overview.qmd
index 2921450..dfa7eaf 100644
--- a/location-services/overview.qmd
+++ b/location-services/overview.qmd
@@ -4,3 +4,10 @@ subtitle: "Interact with ArcGIS Location Services directly from R"
 listing: 
   max-description-length: 500
 ---
+
+The **`arcgis`** package for location services meets developers where they are at. At it's core, **`arcgis`** is a collection of R packages designed to interact with [ArcGIS Location Services](https://developers.arcgis.com/documentation/mapping-apis-and-services/) all from the comfort of R and your text editor. 
+
+ArcGIS Location Services are provided as REST API endpoints and **`arcgis`** makes interacting with the services using R native objects seamless.
+
+<hr>
+