Stronger keyword logic
Combine exact phrases, spelling variants, founder names, product names and exclusions.
Explore demo ↗BRAND MENTION MONITORING
Track the names that matter. Filter the noise that does not.
Build a precise listening brief for your company, products, founders and common misspellings—then review matching mentions with their original source and context.
COMMAND CENTRE
Reputation intelligence
Decision-ready signals across connected sources.
✦
AI INTELLIGENCE BRIEF3 reputation signals need review24 mentions analysed across connected sources.
Review signalsTotal mentions1,284+18% this period
Positive sentiment68%Healthy conversation
Risk signals123 need review
CONVERSATION VOLUME
TOP SOURCESYouTube 42%Reviews 28%Web & news 21%
Sentiment health68% favourable
Priority alert Complaint velocity rising
WHAT YOU CAN DO
Move from monitoring to informed action.
Context preserved
Keep author, source, publication date and original link attached to every collected mention.
Cleaner signal review
Filter by date, source, sentiment, risk and status instead of reading an undifferentiated feed.
A PRACTICAL WORKFLOW
Clear steps. Accountable decisions.
Map brand language
List formal names, shorthand, common errors, spokesperson names and campaign phrases.
Remove false matches
Use exclusions and relevance review to reduce unrelated conversations.
Build repeatable reports
Save a consistent evidence trail for weekly, monthly and issue-specific reporting.
SECURITY BY DESIGN
Public demo. Private client workspaces.
Live monitoring uses authenticated, workspace-isolated access and official source authorisation.
FREQUENTLY ASKED QUESTIONS
Clear answers before you connect.
Which keywords should a brand monitor?+
Start with the company name, product names, founders, executives, campaign phrases, common misspellings and high-risk combinations such as complaint, fraud or scam.
Can I monitor multiple brands?+
Yes. Separate workspaces help keep each client or brand’s keywords, data and reporting isolated.
Will every keyword match be relevant?+
No. Ambiguous terms can create false positives, which is why exclusions and relevance review are essential parts of the workflow.