Wave AI is an AI-powered photo and image editor that allows users to effortlessly create stunning visuals, ideal for background changes, object removal, and custom ad creation.
Image Generation & Editingwaveai.ioTracked since 2026-08-211 discovery source
889Backlinks
86Referring domains
23Domain authority
-3.9%Referring domains · 90 days
Authority & distribution
How strong is waveai.io’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
889Current snapshot
Referring domains
86Current snapshot
Authority
23Domain authority · category median 22
90-day move
-3.9%Referring domains, last 90 days
At 23, waveai.io 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.
“waveai.io”
Wave AI is an AI-powered photo and image editor that allows users to effortlessly create stunning visuals, ideal for background changes, object removal, and custom ad creation.
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://waveai.io
Observed across 1 discovery source.
Research questions
What the evidence answers about waveai.io.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Wave AI do and what problem does it solve?
Wave AI is an AI-powered photo and image editor that allows users to effortlessly create stunning visuals, solving the problem of needing design skills for tasks like background changes, object removal, and custom ad creation.
What is Wave AI used for and in what situations?
Wave AI is used for image editing tasks such as transforming product photos into stunning ads, applying artistic style transformations to personal photos, and changing backgrounds for virtual travel experiences, making it ideal for digital marketing and visual content creation.
Who is Wave AI for?
Wave AI is for users who need to create or edit visual content, such as marketers needing to create ads, developers working on image processing, or individuals wanting to enhance personal photos without requiring advanced design skills.
What features does Wave AI offer?
Wave AI offers features including background removal, object removal, image enhancement, text-to-image generation, ad creation, style transformation, and audio transcription, providing a comprehensive suite of AI-powered tools for visual content creation.
What is Wave AI?
Wave AI is an AI-powered photo and image editor for creating stunning visuals, including background changes, object removal, and ad creation.
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 waveai.io 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