# How MoyoMap Works: Turn AI Answers into a Sourced Claim Map

Turn chaos into clarity. How a MoyoMap shows what your team believes, why, what is contested, and what to investigate next.

HTML: https://moyomap.com/intro

## MoyoMap

### Turn a question into a map

Start with a topic, question, company, market, or problem. Moyo turns research into a map of claims instead of another long AI response. Each node captures something learned; citations and connections show where it came from and how it relates to the rest of the investigation.

### Build on research from multiple sources

Use AI research, public sources, documents, and your team’s own work in the same map. Expand the topic, investigate individual claims, or import existing material without losing the context around what you have already learned.

### Review what the research actually says

Research is not finished when an AI produces an answer. Open claims, check their sources, discuss them with your team, and label what is Known, Incorrect, worth Investigating, Useful, or Not relevant. The map becomes a record of both the findings and your judgment about them.

### Keep the investigation moving

As you investigate, new findings become connected branches of the same map. Moyo keeps track of what you have already learned so you can follow unanswered questions, revisit contested claims, and push the research frontier forward instead of repeatedly starting from scratch.

### Share the state of the research

Keep a map private with your team or publish it for others to explore and contribute to. Instead of handing someone a folder of documents and AI conversations, hand them the current state of the investigation: what you know, why you believe it, what is disputed, and what still needs work.

### Turn the map into a briefing

When you need a document instead of the map, request a report from the research already in the map. It is the same price as a Moyo Scan. The report packages the current findings for a client, teammate, decision-maker, or handoff without requiring you to reconstruct the investigation from scratch.

## Research Scan

### Name a target

A scan is outside-in work on one topic: an organization, competitor, program, or opponent. You give a public-facing brief. Moyo does not take credentials, private uploads, or access to internal systems.

### Probe public models

Asking one chatbot once is not a scan. Moyo queries multiple independent models against the same public footprint so you see what different systems already infer, not a single chat transcript.

### Return sourced findings

The scan comes back as sourced findings, inference paths, and recommended follow-up questions. Citations stay attached. Sensitivity ranking helps you see which claims matter most if they are true.

### Investigate

On a map, mark claims Investigate, then run Investigate on the selection. Each selected claim becomes a branch: a follow-up scan that probes further around that finding and attaches new claims as children. One request spends one scan action per selected claim. A follow-up report can later cover only these investigation findings.

### Generate more claims

Generate More Claims runs another outside-in pass over the whole map, not a single claim. You choose a direction: more depth, more breadth, more evidence, or more recent. New claims land on the map; no new retrieval happens when you only relabel or browse. A follow-up report can cover these expansion findings the same way it covers investigations.

### Use it as a package or a map

A Moyo Scan ($495 per target) is a delivered package by email or hosted link when you want a finished read without operating the workspace. The same outside-in scan can seed a map you keep growing with Investigate and Generate More Claims. A report of that map later is the same $495.