REPOGEO REPORT · LITE

AIDotNet/OpenDeepWiki

Default branch main · commit 541cd9b2 · scanned 5/19/2026, 3:56:57 PM

GitHub: 3,234 stars · 415 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

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 AIDotNet/OpenDeepWiki, 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 README H1 and add a clear opening statement

Why:

CURRENT

# OpenDeepWiki

[中文](README.zh-CN.md) | [English](README.md)

<div align="center">
  
  <h3>AI-Driven Code Knowledge Base</h3>
</div>

COPY-PASTE FIX

# OpenDeepWiki: AI-Powered Knowledge Management & Collaboration Platform for Code Repositories

OpenDeepWiki is an open-source, AI-driven platform designed to transform your code repositories (GitHub, GitLab, etc.) into intelligent, conversational knowledge bases.

hightopics#2

Add specific application-domain topics

Why:

CURRENT

chatgpt, deepwiki, docs, fine-tuning

COPY-PASTE FIX

deepwiki, knowledge-management, code-documentation, ai-powered-wiki, code-analysis, developer-tools, rag

mediumreadme#3

Add a 'Why OpenDeepWiki?' section to clarify differentiation

Why:

COPY-PASTE FIX

## Why OpenDeepWiki Stands Out

Unlike generic LLMs or traditional documentation tools, OpenDeepWiki is purpose-built to transform your code repositories into an intelligent, interactive knowledge base. We go beyond simple keyword search by leveraging advanced AI (embeddings, vector databases, LLMs for RAG) to provide semantic understanding, intelligent search, and AI-driven insights directly within your wiki, enabling deep code understanding and conversational interaction.

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 AIDotNet/OpenDeepWiki

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Claude

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Claude · recommended 2×
Code Llama · recommended 1×
GPT-4 · recommended 1×
run-llama/llama_index · recommended 1×
langchain-ai/langchain · recommended 1×

CATEGORY QUERY
How to automatically generate knowledge bases from code repositories using AI?
you: not recommended
AI recommended (in order):
1. Code Llama
2. GPT-4
3. Claude
4. LlamaIndex (run-llama/llama_index)
5. LangChain (langchain-ai/langchain)
6. Sourcegraph Cody (sourcegraph/cody)
7. GitHub Copilot Enterprise
8. docstring_generator (joshuadavidthomas/docstring_generator)
AI recommended 8 alternatives but never named AIDotNet/OpenDeepWiki. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tools for AI-powered conversational interaction to understand complex code documentation?
you: not recommended
AI recommended (in order):
1. GitHub Copilot Chat
2. ChatGPT
3. Claude
4. Google Gemini Advanced
5. Perplexity AI
6. LlamaIndex
7. LangChain
8. Pinecone
9. Weaviate
10. ChromaDB
AI recommended 10 alternatives but never named AIDotNet/OpenDeepWiki. 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 AIDotNet/OpenDeepWiki?
pass
AI named AIDotNet/OpenDeepWiki explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts AIDotNet/OpenDeepWiki in production, what risks or prerequisites should they evaluate first?
pass
AI named AIDotNet/OpenDeepWiki 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 AIDotNet/OpenDeepWiki solve, and who is the primary audience?
pass
AI named AIDotNet/OpenDeepWiki explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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

HTML

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

Pro

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AIDotNet/OpenDeepWiki — 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