Always-On Competitor and Counterfeit Intelligence
Industrial ManufacturingA six-phase watch on competitors and counterfeits across the web, search, marketplaces, and social, scored by AI.
Every week a scraper scans competitor product sitemaps and eighteen RSS watch feeds for brand, model, and counterfeit mentions, classifies each detection, logs it, and sends an internal alert on anything actionable.
A global industrial safety equipment manufacturer had no reliable way to know when competitors or counterfeiters were using its brand, model numbers, and product codes. Watching for knockoffs and brand misuse meant occasional manual searches across the web, search engines, B2B marketplaces, and social ads.
The checks were ad hoc and reactive. Counterfeit listings and competitor moves surfaced late, if at all, and there was no history to compare one week to the next. Putting an analyst on every channel full time was neither practical nor cost effective.
The Shift
Before automation, monitoring was manual and reactive:
- Someone occasionally searched the brand and product codes by hand
- Marketplace checks on Alibaba, IndiaMART and Made-in-China were ad hoc
- There was no shared log, no history, no week-to-week comparison
- Social ad libraries were never checked at all
- High-risk findings were buried in noise, and nothing was prioritised
The problem was not a lack of threats. It was the lack of a system to catch them. The client needed a solution that:
- Watched every channel continuously, not occasionally
- Logged every detection in one place, with full history
- Scored each finding by risk so the team could act on what mattered
- Delivered a single ranked report instead of scattered alerts
- Ran unattended, with no analyst monitoring it
What We Built
We built a six-part competitor-intelligence pipeline on our automation system, all feeding a single detection log.
Key components included:
- A web and RSS scanner across competitor product sitemaps and 18 brand and counterfeit watch feeds
- A search-results monitor that tracks brand and product terms in search rankings
- A B2B marketplace monitor across Alibaba, IndiaMART and Made-in-China
- A social ad monitor across the LinkedIn, Meta and Instagram ad libraries
- An AI risk classifier that scores every detection Low, Medium or High and escalates the high-risk ones
- A monthly intelligence digest that ranks and de-duplicates everything into one clean read
The Goal
The goal was to turn scattered, manual brand-watching into a continuous system that surfaces competitor and counterfeit activity across every channel, scores it by risk, and delivers one prioritised report. The team now acts on real threats instead of hunting for them, and every detection is kept with a full history.
