See what a competitor changed this week
Type a rival's domain and read their week: prices raised or cut, products added and pulled, bestseller moves, app swaps. All of it observed from the catalog — nothing installed on their site, nothing they can see.
Try it
Live search
Runs on this page. You do not need a key.
Looking that up…
What a week looks like
Take gruntstyle.com on August 26, 2026 — one day in the feed. A basic tee jumped from $9.99 to $24.99 and a stretch-fit hat from $14.99 to $23.99. A new shirt landed at $29.99. Four products were pulled, two of them Rifle Flag tees. Two basic tees slid down the collection wall, from positions 71 and 72 to 86 and 87. Read together, that is a story: clearance stock gone, then the floor repriced. A dashboard shows you rows; the pattern is the part worth acting on.
What gets tracked
Eight product change types and five store change types, named the same way the catalog API names them. Each row carries the date it was observed.
Product
price_increase · price_decrease · new_product · removed_product · position_up · position_down · best_seller_entered · best_seller_exited
Store
revenue_change · visits_change · products_change · rating_change · apps_change
What each move usually means
They cut a price
Either the product stopped moving or they are clearing stock. Check whether it is one SKU or a category-wide markdown before you touch your own price — matching a clearance is how you end up in a race to the bottom.
They raised prices
Raises are quieter than cuts and easier to miss. A store-wide raise usually means costs went up or demand let them — either way, there may be room in your own pricing you did not know you had.
They added a product
One new SKU is noise. The same product appearing across several stores in your niche the same week is a trend forming — the trending feed catches that pattern across the whole catalog.
They pulled products
Removed products tell you what did not work. If a rival quietly drops a line you were about to copy, that is a cheaper lesson than running the experiment yourself.
A SKU entered their bestsellers
Bestseller position comes from how the store itself ranks its collection. A product climbing that wall is selling — worth checking who supplies it and what it would cost you to carry.
They swapped an app
An app change is a strategy change you can read from outside: a new reviews widget, a subscription app, a bundle tool. Whatever problem they just paid to solve, you probably have too.
Let your agent do the watching
The widget above is one store at a time. Connect the same catalog to Cursor or Claude and the tracking becomes a conversation:
“Watch gruntstyle.com. Anything change since last month?”
One change_tracker call returns the full board: price moves, added and removed SKUs, bestseller shifts, app and traffic changes.
“Run competitor_moves on X. What did they change, and who in the same vertical moved with them?”
competitor_moves adds the store's own diffs plus vertical movers, so you see whether a cut is local or a category-wide markdown.
“My competitors are X, Y, and Z. Who cut prices more than 10% this week, and should I respond?”
price_watch pulls each store's price changes against a threshold, then the agent reasons over the rows instead of guessing.
“Compare my app stack with theirs. What do they run that I don't?”
compare_stacks lines up detected apps side by side — reviews, email, subscriptions, bundles.
Things people ask
How does competitor tracking work here?
The catalog observes 1.37 million Shopify stores and records what changed between visits: prices, products added and removed, bestseller positions, detected apps, traffic and revenue estimates. You query the diff for any store — no pixel, no access to their account, nothing installed on their site.
Do competitors know I'm watching them?
No. You are reading Neonjelly's own catalog observations, not visiting the store. The store sees nothing.
How fresh is the data?
Catalogs are revisited on a rolling schedule, so changes surface within days of happening — each row carries the date it was observed. Paid plans add Signals watches with daily probes for stores you care most about.
Can it track prices only?
Yes. The price intelligence page is exactly that — a feed of price cuts filtered by niche or store, with old price, new price, and date. This page is the wider board: products, bestsellers, apps, and traffic on top of prices.
