REPOGEO REPORT · LITE

matevip/mateclaw

Default branch dev · commit ac035d6d · scanned 6/13/2026, 12:42:39 AM

GitHub: 602 stars · 195 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface matevip/mateclaw, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1
Expand README H1 to explicitly state project type
Why:
CURRENT
```
# MateClaw
```
COPY-PASTE FIX
```
# MateClaw: Enterprise Multi-Agent AI System for Secure Workflows
```

mediumabout#2

Refine 'About' description to emphasize enterprise system nature

Why:

CURRENT

🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

COPY-PASTE FIX

🤖 MateClaw — Your enterprise-grade second brain: a secure, self-hosted multi-agent AI system with Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

lowreadme#3

Add a 'Comparison' section to the README

Why:

COPY-PASTE FIX

## Comparison

MateClaw is designed as a complete, self-hosted enterprise AI agent system, differentiating it from:

*   **Generic LLM Frameworks (e.g., LangChain4j, LlamaIndex):** While built on Spring AI, MateClaw is an opinionated, ready-to-deploy *application* with multi-user support, approval workflows, and audit trails, not just a library for building agents.
*   **Infrastructure Tools (e.g., Kubernetes, Open Policy Agent):** MateClaw is an AI application layer, not an infrastructure management tool. It can be deployed *on* such infrastructure but is distinct in its purpose.
*   **Personal AI Assistants:** MateClaw focuses on multi-user, enterprise-grade workflows with security and compliance features, unlike single-user personal AI agents.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface matevip/mateclaw

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Kubernetes

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Kubernetes · recommended 1×
Istio · recommended 1×
Open Policy Agent · recommended 1×
Red Hat OpenShift · recommended 1×
HashiCorp Nomad · recommended 1×

CATEGORY QUERY
How to build a secure, self-hosted multi-agent AI system for enterprise workflows?
you: not recommended
AI recommended (in order):
1. Kubernetes
2. Istio
3. Open Policy Agent
4. Red Hat OpenShift
5. HashiCorp Nomad
6. Consul
7. Vault
8. Apache Mesos
9. Marathon
10. Apache Ranger
11. Docker Swarm
12. Traefik
13. Portainer
14. Ansible
15. Terraform
16. Prometheus
17. Grafana
18. Alertmanager
AI recommended 18 alternatives but never named matevip/mateclaw. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Spring Boot agent framework with multi-channel support and plan-and-execute capabilities.
you: not recommended
AI recommended (in order):
1. Spring AI
2. LangChain4j
3. Dify
4. LlamaIndex
5. Spring for Apache Kafka
6. Spring WebFlux
7. webclient
8. OpenAI Java SDK
9. Google Cloud AI Java Client
10. Spring State Machine
AI recommended 10 alternatives but never named matevip/mateclaw. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of matevip/mateclaw?
pass
AI named matevip/mateclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts matevip/mateclaw in production, what risks or prerequisites should they evaluate first?
pass
AI named matevip/mateclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo matevip/mateclaw solve, and who is the primary audience?
pass
AI named matevip/mateclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of matevip/mateclaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/matevip/mateclaw.svg)](https://repogeo.com/en/r/matevip/mateclaw)

HTML

<a href="https://repogeo.com/en/r/matevip/mateclaw"><img src="https://repogeo.com/badge/matevip/mateclaw.svg" alt="RepoGEO" /></a>

Pro

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matevip/mateclaw — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite