REPOGEO REPORT · LITE

EXboys/evotown

Default branch main · commit 28782871 · scanned 6/3/2026, 11:53:02 PM

GitHub: 953 stars · 80 forks

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 EXboys/evotown, 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

Add an explicit "This is NOT..." statement to the README's introduction

Why:

CURRENT

> **In one sentence:** Evotown is the **private control plane** for enterprise Agents — employees keep running OpenClaw, Hermes, or SkillLite on their machines; IT uses Evotown to unify **models**, **Skills**, **knowledge**, and **compliance** in one place.

**Evotown is a middle platform for enterprise Agent runtime governance and capability assets** — connect multiple runtimes, accumulate **Skills** and **enterprise knowledge**, and provide **observability, review, and private distribution**.

COPY-PASTE FIX

> **In one sentence:** Evotown is the **private control plane** for enterprise Agents — employees keep running OpenClaw, Hermes, or SkillLite on their machines; IT uses Evotown to unify **models**, **Skills**, **knowledge**, and **compliance** in one place.

**This is NOT a simulation game, nor is it an LLM-powered social simulation.** Evotown is a middle platform for enterprise Agent runtime governance and capability assets — connect multiple runtimes, accumulate **Skills** and **enterprise knowledge**, and provide **observability, review, and private distribution**.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

mediumtopics#3

Refine repository topics to emphasize enterprise agent governance and avoid "simulation" connotations

Why:

CURRENT

agent-skills, evolution, runtime-governance, self-evolving, self-learning

COPY-PASTE FIX

enterprise-agents, agent-governance, runtime-management, ai-ops, skill-management, knowledge-management, private-llm-ops

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 EXboys/evotown

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Azure Machine Learning

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Azure Machine Learning · recommended 1×
Kubernetes · recommended 1×
Kubeflow · recommended 1×
MLflow · recommended 1×
Google Cloud Vertex AI · recommended 1×

CATEGORY QUERY
How can I centrally manage and govern multiple AI agent runtimes in an enterprise environment?
you: not recommended
AI recommended (in order):
1. Azure Machine Learning
2. Kubernetes
3. Kubeflow
4. MLflow
5. Google Cloud Vertex AI
6. Amazon SageMaker
7. Hugging Face Inference Endpoints
8. OpenShift AI
9. Domino Data Lab
AI recommended 9 alternatives but never named EXboys/evotown. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What platform helps accumulate and privately distribute AI agent skills and enterprise knowledge?
you: not recommended
AI recommended (in order):
1. Glean
2. Coveo
3. Guru
4. Elastic Stack
5. Microsoft SharePoint Syntex
6. ServiceNow Knowledge Management
AI recommended 6 alternatives but never named EXboys/evotown. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 EXboys/evotown?
pass
AI named EXboys/evotown explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts EXboys/evotown in production, what risks or prerequisites should they evaluate first?
pass
AI named EXboys/evotown 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 EXboys/evotown solve, and who is the primary audience?
pass
AI named EXboys/evotown 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 EXboys/evotown. 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)

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HTML

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EXboys/evotown — 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