What it can do
Reading public listing pages daily gives more than a price comparison: removals, stock movement, cross-currency gaps, and how a brand appears in AI answers.
The mechanism is always the same — read public listing pages at a fixed time each day, and record where every figure came from. Only the targets change.
Prices
- Competitors' asking prices, lined up on the same day and the same tax basis
- Normalised to tax-exclusive before comparing — a tax-inclusive figure minus a tax-exclusive one is not a discount
- Cross-country comparison, with the exchange rate and its publication date
- The same product under different spellings, grouped
- A history of increases and reductions: when, from what, to what
- Where your own price ranks, every morning
Sell-through
- A record of when a listing disappeared — the closest public signal to a sale
- Days-to-disappearance by model
- A source that could not be read is recorded as unread, not as a removal
Stock and sellers
- Listing counts over time, per seller
- New models appearing
- A single seller followed on its own
Showing the figures to people
- Every figure carries the seller, the URL, the time it was read and the rate
- CSV export, with a line for every source that did not answer
- API, into your own systems
- A morning message
How AI answers treat you
- Whether your brand appears in generative answers, and how (AI visibility)
What it does not do
Written down, so nobody signs up expecting it.
- Nothing behind a login — authentication is not bypassed
- Nothing from sites that decline in robots.txt
- No minute-by-minute tracking — sweeps run once a day
- No CAPTCHA solving, no fingerprint spoofing
If you are still deciding, Choosing a tool has the order to decide in.
Last updated