diff --git a/qdrant-landing/content/solutions/_index.md b/qdrant-landing/content/solutions/_index.md
index e95983fa6..310a19617 100644
--- a/qdrant-landing/content/solutions/_index.md
+++ b/qdrant-landing/content/solutions/_index.md
@@ -1,4 +1,6 @@
---
title: Use Cases and Examples For Your Business
+page_title: Solutions
subtitle: Build your next AI project with Qdrant. Here are just a few examples of applications for which Qdrant can be helpful.
+description: Tasks and Problems solved with Qdrant
---
\ No newline at end of file
diff --git a/qdrant-landing/content/solutions/audio-search.md b/qdrant-landing/content/solutions/audio-search.md
deleted file mode 100644
index e69de29bb..000000000
diff --git a/qdrant-landing/content/solutions/chat-bots.md b/qdrant-landing/content/solutions/chat-bots.md
index e69de29bb..0281626ce 100644
--- a/qdrant-landing/content/solutions/chat-bots.md
+++ b/qdrant-landing/content/solutions/chat-bots.md
@@ -0,0 +1,16 @@
+---
+title: Chat Bots
+icon: bot
+tabid: chatbot
+image: /content/images/chat_bots.png
+image_caption: Automated FAQ
+source_link:
+demo_link:
+tutorial_link:
+custom_link:
+custom_link_name:
+weight: 40
+short_description: |
+ Semantic search for similar phrases is one of the key technologies for building chatbots.
+ In combination with conversation scripts, modern pre-trained NLP models and Qdant, it is possible to build an automated FAQ answering system.
+---
diff --git a/qdrant-landing/content/solutions/image-search.md b/qdrant-landing/content/solutions/image-search.md
index 973ab8964..8d1b1b667 100644
--- a/qdrant-landing/content/solutions/image-search.md
+++ b/qdrant-landing/content/solutions/image-search.md
@@ -6,10 +6,15 @@ image: /content/images/image_search.png
image_caption: Visual Food Discovery
source_link: https://github.com/qdrant/food_exploration
demo_link: https://food-discovery.qdrant.tech/
+default_link: https://food-discovery.qdrant.tech/
+default_link_name: Demo
tutorial_link:
custom_link:
custom_link_name:
weight: 20
+short_description: |
+ Find similar images, detect duplicates, or even find a picture by text description - all of that you can do with Qdrant.
+ Mostly you won't even need to train a neural network for that. Pre-trained models are usually enough to begin with.
---
Sometimes text search is not enough.
diff --git a/qdrant-landing/content/solutions/matching-engines.md b/qdrant-landing/content/solutions/matching-engines.md
index e69de29bb..a37509d7e 100644
--- a/qdrant-landing/content/solutions/matching-engines.md
+++ b/qdrant-landing/content/solutions/matching-engines.md
@@ -0,0 +1,16 @@
+---
+title: Matching Engines
+icon: compare-1
+tabid: matching
+image: /content/images/matching_engines.png
+image_caption: Matching Engines
+source_link:
+demo_link:
+tutorial_link:
+custom_link:
+custom_link_name:
+weight: 40
+short_description: |
+ Matching semantically complex objects is a special case of search.
+ Usually a large number of additional conditions are used in matching, which makes Qdrant an ideal tool for building such systems.
+---
diff --git a/qdrant-landing/content/solutions/recommendation-engine.md b/qdrant-landing/content/solutions/recommendation-engine.md
index 5681f1555..f603e9bdc 100644
--- a/qdrant-landing/content/solutions/recommendation-engine.md
+++ b/qdrant-landing/content/solutions/recommendation-engine.md
@@ -10,9 +10,13 @@ tutorial_link:
custom_link:
custom_link_name:
weight: 30
+short_description: |
+ User behavior can be represented as a semantic vector is similar way as text or images.
+ Qdrant allows you to create a recommendation engine with custom filters and real-time updates.
+ No need to deploy a MapReduce cluster.
---
-Users, like text and pictures, can be represented as a semantic vector.
+User behavior can be represented as a semantic vector is similar way as text or images.
This vector can represent the user's preferences, behavior patterns, or interest in the product.
With Qdrant, user vectors can be updated in real-time, no need to deploy a MapReduce cluster.\
diff --git a/qdrant-landing/content/solutions/text-search.md b/qdrant-landing/content/solutions/text-search.md
index c6c29605a..bb7550270 100644
--- a/qdrant-landing/content/solutions/text-search.md
+++ b/qdrant-landing/content/solutions/text-search.md
@@ -1,15 +1,20 @@
---
-title: Semantic Sext Search
+title: Semantic Text Search
tabid: textsearch
icon: paper
image: /content/images/text_search.png
image_caption: Neural Text Search
source_link: https://github.com/qdrant/qdrant_demo
demo_link: https://demo.qdrant.tech/
+default_link: https://demo.qdrant.tech/
+default_link_name: Demo
tutorial_link:
custom_link:
custom_link_name:
weight: 10
+short_description: |
+ The neural search uses **semantic embeddings** instead of keywords and works best with short texts.
+ With Qdrant and a pre-trained neural network, you can build and deploy semantic neural search on your data in minutes!
---
In many cases, the usual full-text search does not give the desired result.
diff --git a/qdrant-landing/content/solutions/video-search.md b/qdrant-landing/content/solutions/video-search.md
deleted file mode 100644
index e69de29bb..000000000
diff --git a/qdrant-landing/content/use-cases/_index.md b/qdrant-landing/content/use-cases/_index.md
index e5bb8510f..822eba580 100644
--- a/qdrant-landing/content/use-cases/_index.md
+++ b/qdrant-landing/content/use-cases/_index.md
@@ -1,5 +1,6 @@
---
title: Use Cases
+page_title: Use Cases
type: page
description: Potential applications, business cases and startup ideas you can build with Qdrant
---
diff --git a/qdrant-landing/static/content/images/chat_bots.png b/qdrant-landing/static/content/images/chat_bots.png
new file mode 100644
index 000000000..6b370567c
Binary files /dev/null and b/qdrant-landing/static/content/images/chat_bots.png differ
diff --git a/qdrant-landing/static/content/images/chat_bots.svg b/qdrant-landing/static/content/images/chat_bots.svg
new file mode 100644
index 000000000..e1c578e09
--- /dev/null
+++ b/qdrant-landing/static/content/images/chat_bots.svg
@@ -0,0 +1,2044 @@
+
+
diff --git a/qdrant-landing/static/content/images/matching_engines.png b/qdrant-landing/static/content/images/matching_engines.png
new file mode 100644
index 000000000..17325efa2
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diff --git a/qdrant-landing/static/content/images/matching_engines.svg b/qdrant-landing/static/content/images/matching_engines.svg
new file mode 100644
index 000000000..46c08128f
--- /dev/null
+++ b/qdrant-landing/static/content/images/matching_engines.svg
@@ -0,0 +1,2110 @@
+
+
diff --git a/qdrant-landing/themes/qdrant/layouts/partials/second_header.html b/qdrant-landing/themes/qdrant/layouts/partials/second_header.html
index 65c015cbe..1ecb8926a 100644
--- a/qdrant-landing/themes/qdrant/layouts/partials/second_header.html
+++ b/qdrant-landing/themes/qdrant/layouts/partials/second_header.html
@@ -2,10 +2,10 @@
{{ .Title }}
+ {{ .Params.page_title | safeHTML }}
{{ .Params.short_description | markdownify }}
+