Muse AI leads with "animate your photos" and "text-to-image." It's not indexed for either.
Muse AI: Photo to Video bundles four AI features into one app: turning still photos into short animated clips, generating images from text prompts, upscaling low-res photos to 4K, and restoring old, faded pictures. The description leads with exactly those features — "Animate Your Photos," "Text-to-Image," "HD Upscaling," "Old Photo Restoration" — written as clear, specific headers. That's good copy. The problem is that almost none of it made it into the fields the App Store actually searches.
Where Muse AI sits in the chart
It's in Photo & Video, a category stacked with CapCut, Instagram, and YouTube at the top. Muse AI sits at #38 in the US top-free chart — a real position, but one worth reading carefully: with only 129 reviews and a 3.0 rating, that ranking reflects install volatility more than sustained demand. A small, fast-moving app can swing through a chart position like this without it meaning much on its own.
The real test: does search find it at all
| Keyword | US |
|---|---|
| photo to video | #62 |
| ai video generator | not indexed |
| animate photo | not indexed |
| photo animator | not indexed |
| image to video ai | not indexed |
| ai art generator | not indexed |
| text to image | not indexed |
| old photo restoration | not indexed |
One keyword out of eight has any visibility, and it's buried at #62 — past where most people scroll. Every other feature the app leads with in its own description returns nothing. Someone searching for exactly what this app does, using the app's own words, will not find it.
Before fixing the keywords — check if the category is even growing
This is the part that changes the plan. Google Trends on "photo to video ai" shows a clear downward slide over the past six months: opening around 61 in March, drifting through the 40s and 30s by early summer, and dropping to 15 by mid-August. "Animate photo" follows the same pattern at a lower level, from 20 down to 5. This isn't a keyword nobody's claimed yet — it's a keyword that peaked and is now cooling off.
The related-query data points at where the remaining demand is actually going: "ai photo to video free" is the fastest-rising related search, alongside "ai video from photo" and "ai image to video." The App Store's own autocomplete suggestions echo this — "photo to video: ai video maker free" and "ai photo to video free" both show up as real search phrases. The word "free" isn't incidental. In a cooling category, the searches that are still growing are the price-sensitive ones, which matters for a freemium AI app competing against free-tier alternatives.
What to check before assuming a keyword fix solves this
- Match your subtitle and keyword field to your own feature list before anything else. Every core feature named in Muse AI's description — animate, text-to-image, restoration — is a keyword opportunity sitting unused. That's the first, cheapest fix.
- A 3.0 rating on a small review base is a signal to investigate before spending on visibility. Getting found by more people only helps if the product experience holds up once they arrive — fix indexing and quality checks in parallel, not indexing first and quality later.
- Check the trend direction, not just the current volume. "Photo to video ai" still shows real search interest, but it's shrinking. That changes the ROI math on how much ASO effort this specific keyword deserves versus building toward where demand is heading — "free" and mobile-native, based on the rising related queries.
- An unclaimed keyword shared by your competitor too ("animate photo," here) is worth grabbing precisely because nobody's fighting for it yet — low competition doesn't require the category to be booming, just for the term to be real.
Data pulled from live App Store chart, search, and Google Trends results via Pumf.it on August 21, 2026. This is a read of public App Store data, not a critique of Muse AI as a product. The indexing gap is fixable; the cooling trend line is a separate, harder problem worth planning around.