Unity Asset Store Optimization

Add-Ons/Machine Learning Asset Listing Optimization Guide

Guidelines for creating standout Add-Ons/Machine Learning assets on the Unity Asset Store.

Market Size

Very small - fewer than 100 assets

Competition Level

Lower competition - niche quality can stand out

Average Price

Around $94.0

Title Optimization

Your title is the first thing buyers see

Optimal Length

24-44 characters (3-6 words)

Best Practices:

Put the asset type and the main benefit in the first 40 characters.
Avoid internal versioning or vague adjectives.
Keep it specific and scannable.
Front-load primary keywords and the asset type.
Avoid filler words like 'Ultimate' unless you can prove scope.
Use Title Case for readability.

Good Examples

Google Cloud Vision for Unity
Face Recognition Plugin For Unity
Face Analyzer

Bad Examples

UGPT. Stand-alone implementation of ChatGPT
Grid Framework
ShapeInput ML - User Drawn Shape Input

Description Optimization

Detailed, structured content converts browsers to buyers

Optimal Length

120-250 words

Recommended Structure:

1What it is and who it's for.
2What's included (with counts).
3Compatibility and requirements.
4Usage examples or demo scenes.
5Support and updates.

Writing Tips:

Explain exactly what's included with counts, formats, and variations.
State supported pipelines/Unity versions and any requirements.
Add 2-4 concrete use cases so buyers can picture fit.
Link to a demo scene or quickstart steps.
Keep paragraphs short and scannable.

Example Description Template:

Bring believable results to your project with a curated, ready-to-use set. You'll get multiple variations, clear folder structure, and support for common Unity pipelines (URP/HDRP or Built-in). Designed for quick iteration, this pack blends quality with performance and ships with a small demo scene and usage tips so you can drag-and-drop and ship faster.

Image & Screenshot Guidelines

Visual quality directly impacts conversion rates

Optimal Count

4-8 images

Requirements:

One clean hero image.
Detail views of key features.
In-engine screenshots.
Optional short video.

Pro Tips:

Lead with a clean hero that summarizes the value.
Use consistent framing and typography across images.
Include at least one real in-engine screenshot.
Avoid busy collages—keep each image focused on one idea.

Tags & Keywords Strategy

Maximize discoverability through search

Tags

8-12 relevant tags

Common Tags for Add-Ons/Machine Learning:

AIface detectionface recognitionComputer Visiondeep learningVisionGameimage recognitionTextureAI assistant

Tagging Tips:

Mix generic discovery tags with specific ones that describe content or workflow.
Match pipelines and formats (URP/HDRP, PBR) where applicable.
Avoid repeating the same word with different casing.

Keywords

For SEO and Asset Store search optimization

Primary Keywords:

unity face
face recognition
face verification
recognition plugin
plugin unity
face analyzer
analyzer facial
facial landmarks
landmarks pose
pose gender

Secondary Keywords:

face recognition
face verification
recognition plugin
plugin unity
face analyzer
analyzer facial
facial landmarks
landmarks pose
pose gender
gender age

Keyword Strategy Tips

Use primary keywords in the first 40 characters of your title.
Repeat key phrases naturally in the first 2-3 lines of the description.
Align tags with the same language to reinforce search relevance.

Pricing Strategy

Balance value perception with competitive positioning

Recommended Price Range

$9.99-$330

Anchor price to scope and clarity of value (counts, variants, support).
Offer a free lite/demo to drive traffic without underpricing the main pack.
Consider bundles or upgrade paths as your catalog grows.
Participate in seasonal sales with clear before/after pricing.

Real-World Success Examples

Learn from top-performing assets in this category

Face Analyzer

by illuni

Why This Asset Succeeds:

Clear, specific title that sets expectations.
Concise description that highlights what's included and where it fits.
Strong visuals with multiple in-engine screenshots.
Includes a video preview for quick evaluation.

Title Length

13 chars

Description

125 words

Images

Tags

Tags Used:

VisionGameAIimage recognitionComputer VisionTexture

Google Cloud Vision for Unity

by PaulArt

Why This Asset Succeeds:

Clear, specific title that sets expectations.
Strong visuals with multiple in-engine screenshots.
Includes a video preview for quick evaluation.

Title Length

29 chars

Description

0 words

Images

Tags

Tags Used:

text detectionAIcloud aigoogle text recognitionpaulartGoogle APIgoogle visionOCRartificial intelligencegoogle cloud apitext recognitiongoogle cloud vision

Face Recognition Plugin For Unity

by KignisSoftware

Why This Asset Succeeds:

Clear, specific title that sets expectations.
Adequate image gallery that shows real usage.
Includes a video preview for quick evaluation.

Title Length

33 chars

Description

0 words

Images

Tags

Tags Used:

face detectionface recognitiondeep learning

Grid Framework

by HiPhish

Why This Asset Succeeds:

Clear, specific title that sets expectations.
Strong visuals with multiple in-engine screenshots.

Title Length

14 chars

Description

0 words

Images

Tags

Realeyes Face Verification Plug-in for Unity

by Realeyes

Why This Asset Succeeds:

Clear, specific title that sets expectations.
Concise description that highlights what's included and where it fits.
Includes a video preview for quick evaluation.

Title Length

44 chars

Description

182 words

Images

Tags

Tags Used:

AIComputer Visionface verificationIdentity

Common Mistakes to Avoid

Learn from others' errors and optimize from the start

Thin or missing description

Impact:

Buyers can't tell what's included or if it fits their project, so they bounce.

Solution:

Write 120-250 words covering what it is, what's included (counts, formats), compatibility, and practical examples.

Too few or generic preview images

Impact:

Low confidence and poor discoverability on category pages.

Solution:

Show 6-10 images: hero shots, close-ups, real in-engine views, and a simple infographic of what's included.

Missing or irrelevant tags

Impact:

Search and category filters won't surface your asset to the right audience.

Solution:

Add 8-12 relevant tags matching genre, pipeline, resolution, and use cases.

Overpriced vs. perceived scope

Impact:

Shoppers compare quickly and skip assets that feel expensive for what they get.

Solution:

Align price with scope; add bundles or tiers and clarify value (counts, support, performance).

Underpricing that undermines quality

Impact:

Very low prices can imply low quality and reduce trust.

Solution:

Price fairly for the content and include a free lite sample instead of discounting the main pack.

Ready to Optimize Your Add-Ons/Machine Learning Assets?

Apply these best practices to your next Unity Asset Store listing and watch your visibility and sales improve. Remember: Optimization is an ongoing process. Monitor your asset's performance, gather user feedback, and continuously refine your listing based on what works best for your specific assets and target audience.

Get Started with Optimization

Add-Ons/Machine Learning Asset Listing Optimization Guide

Title Optimization

Best Practices:

Description Optimization

Recommended Structure:

Writing Tips:

Example Description Template:

Image & Screenshot Guidelines

Requirements:

Pro Tips:

Tags & Keywords Strategy

Common Tags for Add-Ons/Machine Learning:

Tagging Tips:

Primary Keywords:

Secondary Keywords:

Pricing Strategy

Real-World Success Examples

Why This Asset Succeeds:

Why This Asset Succeeds:

Why This Asset Succeeds:

Why This Asset Succeeds:

Why This Asset Succeeds:

Common Mistakes to Avoid

Ready to Optimize Your Add-Ons/Machine Learning Assets?

Asset Nudge