REPOGEO REPORT · LITE

UnicomAI/wanwu

Default branch main · commit e7ceafd2 · scanned 6/23/2026, 10:57:23 AM

GitHub: 2,546 stars · 114 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 UnicomAI/wanwu, 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

Reposition the README's opening to emphasize open-source and self-hostable nature

Why:

CURRENT

Yuanjing Wanwu Agent Platform is an **all-in-one, commercial-friendly licensed agent development platform** designed for enterprise scenarios.

COPY-PASTE FIX

Yuanjing Wanwu Agent Platform is an **open-source, all-in-one, commercial-friendly licensed agent development platform** designed for enterprise scenarios, offering a self-hostable alternative to proprietary cloud AI services for building secure, efficient, and compliant AI solutions.

highhomepage#2
Add the repository URL as the project homepage
Why:
COPY-PASTE FIX
```
https://github.com/UnicomAI/wanwu
```

mediumtopics#3

Add topics emphasizing 'open-source platform' and 'self-hosted'

Why:

CURRENT

agent, agentic-ai, agentic-framework, ai, ai-agent, ai-agent-development-framework, ai-agents-framework, development, genai, golang, llm, mcp, open-ai, rag, wanwu, workflow

COPY-PASTE FIX

agent, agentic-ai, agentic-framework, ai, ai-agent, ai-agent-development-framework, ai-agents-framework, development, genai, golang, llm, mcp, open-ai, rag, wanwu, workflow, open-source-ai-platform, enterprise-ai-platform, self-hosted-ai

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 UnicomAI/wanwu

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×
Azure OpenAI Service · recommended 1×
Google Cloud Vertex AI · recommended 1×
Google Cloud's Generative AI offerings · recommended 1×
AWS SageMaker · recommended 1×

CATEGORY QUERY
Seeking an enterprise-grade platform to develop multi-tenant AI agents and manage LLM models.
you: not recommended
AI recommended (in order):
1. Azure Machine Learning
2. Azure OpenAI Service
3. Google Cloud Vertex AI
4. Google Cloud's Generative AI offerings
5. AWS SageMaker
6. Amazon Bedrock
7. Hugging Face Hub
8. Kubernetes (kubernetes/kubernetes)
9. DataRobot
10. Domino Data Lab
AI recommended 10 alternatives but never named UnicomAI/wanwu. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Which Go-based frameworks help develop intelligent agents and manage generative AI models?
you: not recommended
AI recommended (in order):
1. Go-LLM (go-llm/llm)
2. LocalAI (mudler/LocalAI)
3. LangChain Go (tmc/langchaingo)
4. OpenAI Go Library (sashabaranov/go-openai)
5. Gin (gin-gonic/gin)
6. Echo (labstack/echo)
7. Gorgonia (gorgonia/gorgonia)
AI recommended 7 alternatives but never named UnicomAI/wanwu. 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 UnicomAI/wanwu?
pass
AI named UnicomAI/wanwu explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts UnicomAI/wanwu in production, what risks or prerequisites should they evaluate first?
pass
AI named UnicomAI/wanwu 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 UnicomAI/wanwu solve, and who is the primary audience?
pass
AI named UnicomAI/wanwu 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 UnicomAI/wanwu. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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

HTML

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

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UnicomAI/wanwu — 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