ArolagIs the name present?
Find configured brand names and aliases in the saved response text.
Brand and alias matching
Match configured names with text boundaries. URL text is excluded from name matching.
YOUR VISIBILITY RESEARCH TOOLKIT
A clearer framework
for AI-answer evidence.
A focused local workspace for brand research built around the response you can actually inspect.
Domain-based citations
Extract HTTP(S) links and match exact domains or their subdomains. Lookalike domains are excluded.
Competitor comparisons
Use the same observation sample and matching rules for the brands you configure.
A reusable prompt library
Keep a set of questions and topics ready for your next manual observation.
CSV import and exports
Import response records with a template and export the observations you want to share.
Reports with definitions
Summarise the current sample, with clear denominators and methodology.
NO HIDDEN COLLECTION CLAIMS
Your sample.
Your research process.
Platform and model labels describe the observations you enter. The local tracker does not query providers or validate how a response was produced.
Keep collection conditions consistent, record the date and context, and inspect the source response before drawing a conclusion.
Read the methodology →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.
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.