Three steps, then you just read the decisions. Adversee builds the recipe once, then runs quietly every day, turning changes into structured intelligence.
No need to find the campaign page, write selectors, or add code or integrations. You just paste the address. If you want to monitor push and SMS, you install the lightweight app.
The AI analyzes the page, works out where and how campaigns appear, and freezes a reusable 'recipe.' This happens once; everything after is deterministic and cheap.
The recipe runs on every scan cycle. Everything that changes becomes a structured move: who, when, what they offered, how aggressive — with evidence.
We use AI not for every scan, but to write the recipe once. The daily work is done by deterministic code — fast, cheap and consistent.
Vertical-agnostic facts are extracted from the campaign text (amount, percentage, date, mechanics). Even if the same brand is monitored by many customers, it's processed once — cost grows with the number of brands, not the number of customers.
The universal facts are interpreted per each customer's own taxonomy. So the same move is categorized as a 'welcome bonus' for a betting company and a 'new-member coupon' for an e-commerce store.
Discount size, placement surface, repetition and duration are combined into a 0–100 score. It separates noise from important moves.
For every detection, a time-stamped screenshot and page text are stored. Intelligence is a record, not a claim.
If a recipe doesn't hold, Adversee doesn't show empty data. It says "awaiting attention" and doesn't mislead you. It separates a site with no campaign as "no campaign" from an unreachable site as "we can't reach it" — because these two lead to very different decisions.
To see in depth what the product monitors, check the product page, and to build a process from scratch, look at the competitor campaign tracking guide.
First two competitors free. No setup, no card — first signal in 2 minutes.