Research project
LLM Rank Monitor
An AI-search visibility and GEO/AEO monitoring platform for tracking how brands appear across LLM-powered answer systems.
In development
Business problem
Traditional search reporting does not show how consistently a brand appears, is described, or is cited inside AI-generated answers.
Constraints
- Answer systems vary in access, behavior, and output format.
- Results need enough context to be useful without implying false precision.
- Public claims must stay separate from actual measured observations.
Approach
- Define repeatable prompts and brand topics worth monitoring.
- Capture answer-system outputs with their context and source signals.
- Organize observations so changes can be reviewed over time.
What was built
A monitoring platform concept and working system for collecting and reviewing brand visibility across LLM-powered answers.
AI’s role
LLM answer systems are both the subject of the monitoring and part of the analysis workflow.
Morgan’s role
Product strategy, search methodology, system design, and development.
Technologies and systems
LLM-powered answer systemsAI-search monitoringGEO/AEO research
Outcome
No public outcome or performance metric has been added for this project.
Current status
In development. Public screenshots, access details, and release timing have not been published.