Amuse is a Windows-based AI art generation software optimized for AMD hardware that lets users create images using Stable Diffusion models, apply custom AI filters, and collaborate with AI for drawing.
Image Generation & Editingamuse-ai.comTracked since 2026-08-211 discovery source
2.6KBacklinks
357Referring domains
24Domain authority
-6.6%Referring domains · 90 days
Authority & distribution
How strong is Amuse’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
2.6KCurrent snapshot
Referring domains
357Current snapshot
Authority
24Domain authority · category median 22
90-day move
-6.6%Referring domains, last 90 days
At 24, Amuse sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Amuse”
Amuse is a Windows-based AI art generation software optimized for AMD hardware that lets users create images using Stable Diffusion models, apply custom AI filters, and collaborate with AI for drawing.
Image Generation & EditingSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.amuse-ai.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Amuse.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core function of Amuse software?
Amuse is a Windows-based AI art generation software that lets users create images using Stable Diffusion models, apply custom AI filters, and collaborate with AI for drawing. It is optimized for AMD hardware for local processing.
What problem does Amuse solve for its users?
Amuse provides a desktop solution for generating digital art and images locally on a Windows PC, specifically solving the need for AI-powered creative tools that run on AMD hardware without relying on cloud services.
Who is the primary user base for Amuse?
Amuse is designed for digital artists, developers, and content creators on Windows who want to generate images, edit photos, or create videos using AI models locally, particularly those with AMD hardware.
What key features and capabilities does Amuse offer?
Amuse offers image creation using Stable Diffusion models, custom AI filter application, local processing, photo editing, and video creation capabilities. It is a desktop application for the Windows platform.
What is Amuse?
Amuse is a Windows-based AI art generation software optimized for AMD hardware that lets users create images using Stable Diffusion models, apply custom AI filters, and collaborate with AI for drawing.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Amuse intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured