ArolagIs the name present?
Find configured brand names and aliases in the saved response text.
Evidence first
Save the actual prompt and response rather than relying on an unexplained score.
ABOUT AROLAGB
More structure
for answer-based research.
Arolagb helps you organise observed AI responses and inspect the evidence behind brand mentions and source links.
OUR APPROACH
Keep the response
behind the percentage.
AI-answer research is easier to discuss when the prompt, context and response stay connected. Arolagb gives that work a consistent local structure.
We focus on transparent sample metrics. You can see the matching rules and open the records that contribute to a number.
THREE SIGNALS. DIFFERENT MEANINGS.
Mention
Citation
Is your domain linked?
Match extracted or supplied URLs to the domain you configured.
Context
What was the prompt?
Keep the question, platform label, date and response together.
Comparable methods
Apply the same matching rules across your brand and configured competitors.
Portable research
Export records, reports and a workspace backup when you need a separate copy.
Business contact
31 Crowndale Road, London, England, NW1 1TN
support@arolagblimited.store
This edition
The browser-local tracker analyses manual entries and CSV imports. It does not fetch live AI-provider responses, schedule queries, verify model labels or provide authenticated cloud accounts.
We do not claim affiliation with the AI platforms used as observation labels. Platform names identify where you say a response was observed.
START WITH AN ANSWER YOU CAN INSPECT
Less guesswork.
More visible evidence.
Organise your prompts, record the responses and see where your brand appears in your sample.
Explore the AI visibility tracker → Read the methodologyManual observations and CSV imports. No live provider connection.
Registered company details
AROLAGB LIMITED
Company registration number: 16763224
Website: arolagblimited.store
Email: support@arolagblimited.store