No product description has been published for this domain yet. Everything below is measured directly.
Image Generation & Editingavtrs.aiTracked since 2026-08-192 discovery sources
1.1KBacklinks
194Referring domains
22Domain authority
-9.4%Referring domains · 90 days
Authority & distribution
How strong is Avtrs’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
1.1KCurrent snapshot
Referring domains
194Current snapshot
Authority
22Domain authority · category median 22
90-day move
-9.4%Referring domains, last 90 days
At 22, Avtrs 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.
“Avtrs”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Image Generation & EditingSeen 2026-08-19 → 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.avtrs.ai/
Observed across 2 discovery sources.
Research questions
What the evidence answers about Avtrs.
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 main function of Avtrs?
Avtrs is an AI avatar generation tool that uses Stable Diffusion technology. Users upload selfies, and the system creates a personalized 'studio' to generate custom AI avatars based on text prompts. The core function is transforming personal photos into a variety of stylized avatars.
How does the avatar generation process work?
The process involves three steps: first, the user uploads several selfies from different angles. Second, the system builds a personalized 'studio' based on those photos. Third, the user writes a prompt to guide the AI in creating the desired avatar style.
What are the different pricing packages available?
Avtrs offers two package options. The Free Set includes 25 avatar generations in 6 styles with a minimum 2-hour wait, advertisements, and watermarked images. The Premium Set costs $1.99 and offers 100 high-quality avatar generations in 30 styles, with immediate access, no ads, and no watermarks.
Who is the target audience for this product?
The product is designed for individuals who want to create personalized, stylized AI avatars from their own photos. The main text suggests it is for users who enjoy creating 'dreamy styles' and sharing them with friends.
What is Avtrs and what does it do?
Avtrs is an AI product categorized under Image Generation & Editing. It is a tool that uses Stable Diffusion and Dreambooth technology to generate custom AI avatars from user-uploaded photos and text prompts.
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 Avtrs intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
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