5 Steps to How BrandGuard Works — AI Brand Protection Made Simple

Step 1 — Detect What Matters (How BrandGuard Works at the Start)

Monitoring begins as soon as your brand and priority terms are added. BrandGuard continuously scans domains,
social profiles, marketplaces, and search results for look-alike sites and risky behaviour. Signals are normalised,
deduplicated, and enriched with context so you see the true picture rather than a noisy stream. Typical detections
include login-style phishing pages, typo-squat domains that mimic your URL, verified-looking profiles that borrow
your marks, and counterfeit product listings that siphon revenue or trust.

Habit: start with a tight list of priority terms (brand, “support”, “login”, flagship products). Expand only
when gaps appear; focused inputs yield cleaner detections and fewer false positives.

Step 2 — Prioritise by Risk & Impact

Findings are scored so the highest-impact risks reach you first. Anything that can steal money or credentials ranks
above parked or low-reach items; verified handles outrank anonymous accounts. Transparent scoring lets you tune
thresholds per brand or campaign and still keep a consistent, auditable process across teams.

• Likelihood: clear misuse of your brand or marks?
• Impact: realistic chance of financial or data loss?
• Speed: is the content spreading or being amplified?

The model is explainable: each weight is visible in the dashboard so security, legal, and support agree on
what “high risk” means before incidents happen.

Step 3 — Instant Alerts with Clear Next Actions

When a threshold is met, BrandGuard sends a concise email that summarises the problem, includes source URLs, and
suggests next steps. Most teams route alerts into a helpdesk or Slack channel so ownership is visible and nothing
gets lost. Alerts deep-link to the dashboard for one-click triage and assignment, which prevents the “who’s doing what?”
scramble and shortens time-to-response.

Habit: assign an owner and add a due time immediately. Even a five-minute target keeps momentum high and
avoids silent stalls.

Step 4 — Legal-Ready Evidence Packs

One click exports a PDF/CSV pack with timestamps, screenshots, and links aligned to common abuse-desk requirements.
Good evidence prevents back-and-forth, which is where many takedowns stall. Consistent formatting also helps when you
submit to registrars, hosts, and social platforms that each expect slightly different artefacts.

Habit: keep a short incident note per case (URL, date/time, screenshot, requested action, outcome). Ten tidy
lines beat ten long emails every time and make audits painless.

Step 5 — Act, Track & Prevent Repeat Patterns

Submit the correct request (abuse, trademark, or DMCA), then log status and response times in your runbook. Trend
views reveal recurring sources so you can block faster next time. That’s how BrandGuard works in practice:
detect → prioritise → alert → evidence → act. The loop is short, predictable, and easy to train.

Need capability specifics? Compare details on the Features page or walk the flow in the
demo using your own inputs.

Why This AI Brand Protection Workflow Works

The process removes guesswork, compresses manual searching, and gives decision-makers the proof they need. It also
creates a repeatable rhythm your team can sustain under pressure. For neutral background on phishing and impersonation,
the UK NCSC provides a clear
overview of phishing scams.