A competitor agent that
watches, not you
Checking competitor pricing and ads by hand means checking a few times a month at best, which misses the promotion that ran for exactly four days or the price that quietly moved and moved back. We build an agent that watches continuously and alerts your team only when something actually changed, not every pixel shift on a page.
The role today
Checking a handful of competitors’ prices and ads by hand a few times a month feels like enough until a competitor runs a four-day promotion that undercuts a key product and it is over before anyone notices it happened, or a quiet repositioning in their messaging signals a shift in strategy that goes unseen for a quarter. The checking itself is tedious enough that it slides down the priority list the moment anything more urgent comes up, which is most weeks, so the competitive picture a team operates from is usually a few months stale. The real cost is the strategic blind spot it creates: a team that only notices a competitor’s move after it has already run its course cannot respond while it still matters, and a pattern that would have been obvious with continuous tracking, a competitor consistently testing a new segment before committing to it, goes unnoticed until the competitor has already won that ground.
What the agent takes over
The agent watches competitor pricing, promotions, public ad libraries and site messaging continuously, and alerts your team specifically when something real and sustained changes, a price that moved and stayed moved, a new offer running for more than a trial period, a repositioning in how a competitor describes itself. It does not alert on every flicker or one-hour test a competitor might be running internally, which is the discipline that keeps an alert channel useful instead of becoming noise everyone mutes. A weekly digest keeps the picture current even on a week nothing urgent happened, and a running history makes a pattern, a competitor always discounts around the 1st of the month, visible over time instead of getting rediscovered by accident each time.
The history log is where the real value compounds: a pattern noticed after a few months, a competitor consistently discounts around payday, always launches a new flavor before a holiday, turns monitoring from a reactive alert system into something closer to a forecast, letting your team plan a response in advance rather than scrambling after the fact every single time the same predictable move happens again.
What stays with humans
Deciding how to respond to a competitor’s move, whether to match a price or hold position, stays entirely with your team. The agent watches and reports with judgment about what is noise versus signal; people decide what, if anything, to do about it.
Guards
Only publicly available data is monitored, nothing scraped from behind a login or in a way that violates a platform’s terms of use, which keeps the practice both legal and defensible. Alert thresholds are tuned against false positives specifically, with every alert logged alongside what triggered it so the team can audit whether the threshold needs adjusting. A new competitor or market segment starts in a dry run, tracked and logged without triggering live alerts, until the real-change threshold is tuned against that specific competitor’s normal behavior. If monitoring moves in-house, we hand over the tracking setup and the full change history, documented for your own team.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,600 | Built, launched and supervised by us, plus a monthly support plan | 2 to 4 weeks |
| Full control, handover-ready | from $4,400 | Same agent, deployed on your infrastructure with full documentation to run it yourselves | 2 to 4 weeks plus 1 to 2 weeks for handover |
Running cost is usually $20 to $150 a month in model usage, depending on volume.
Related
See the full package breakdown on the AI agents service page and analytics, performance marketing. Pair this with market research agent, ads optimizer agent, analytics narrator agent inside the same Marketing & Content group, or with the narrower competitor monitoring, competitor price response modelling automation. For real numbers, see d2c store thailand audit and rebuild, supplements store balkans sales x10.
Ready to put this to work on your team? Get in touch and we will map it against your current process on the first call.
FAQ
How much does a competitor intelligence agent cost?
From $2,600 for continuous tracking of up to 10 competitors across pricing and ad libraries, live in 2 to 4 weeks. A larger competitive set or deeper site-change detection usually runs from $4,000.
How long does it take to go live?
Two to four weeks: the first two set up tracking against your actual competitor list and tune what counts as a real change versus noise, the rest validates alerts against a real pricing or promotion event.
Which channels and tools does it work with?
It monitors competitor websites, public ad libraries (Meta, TikTok) and, where available, marketplace listings, delivering alerts to Telegram or email, whichever your team actually checks.
What if it gets something wrong?
The alert threshold is tuned specifically to avoid false alarms, a price that flickers for an hour during a competitor's own testing does not trigger an alert, only a sustained change does, which is the same discipline we apply to our own marketplace monitors.
What about our data and security?
Only publicly available competitor data (their own site, public ad libraries) is monitored; nothing is scraped from behind a login or in a way that violates a platform's terms. Your own pricing strategy and reaction stay private to your team.