REPOGEO REPORT · LITE

alibaba/open-code-review

Default branch main · commit fe647bc4 · scanned 6/3/2026, 7:02:03 AM

GitHub: 1,082 stars · 74 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 alibaba/open-code-review, 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 highlight security and precision

Why:

CURRENT

Open Code Review is an AI-powered code review CLI tool.

COPY-PASTE FIX

Open Code Review is an AI-powered code review agent and CLI tool, battle-tested at Alibaba's scale to provide precise, line-level feedback. It excels at detecting critical issues like NPE, thread-safety, XSS, and SQL injection through its hybrid architecture of deterministic pipelines and LLM agents.

mediumtopics#2

Add security and quality-focused topics

Why:

CURRENT

agent, code-review, code-review-assistant, harness, repository-level-context

COPY-PASTE FIX

agent, code-review, code-review-assistant, harness, repository-level-context, security, static-analysis, llm, ai-security, code-quality, vulnerability-detection

mediumreadme#3

Elaborate on the 'hybrid architecture' in the README

Why:

CURRENT

It reads Git diffs, sends changed files to a configurable LLM via an agent with tool-use capabilities, and generates structured review comments with line-level precision. The agent can read full file contents, search the codebase, inspect other changed files for context, and produce deep reviews — not just surface-level diff feedback.

COPY-PASTE FIX

Open Code Review employs a unique hybrid architecture, combining deterministic pipelines with an LLM Agent. This allows it to read Git diffs, send changed files to a configurable LLM via an agent with tool-use capabilities, and generate structured review comments with line-level precision. The agent can read full file contents, search the codebase, inspect other changed files for context, and produce deep reviews — not just surface-level diff feedback, ensuring robust and reliable analysis.

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 alibaba/open-code-review

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Snyk Code

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Snyk Code · recommended 2×
GitHub Copilot Enterprise · recommended 1×
CodeQL · recommended 1×
Checkmarx One · recommended 1×
SonarQube · recommended 1×

CATEGORY QUERY
How to use an AI agent for automated detection of security and threading issues in code?
you: not recommended
AI recommended (in order):
1. GitHub Copilot Enterprise
2. CodeQL
3. Snyk Code
4. Checkmarx One
5. SonarQube
6. SonarLint
7. SonarCloud
8. DeepCode AI
9. Snyk Open Source
AI recommended 9 alternatives but never named alibaba/open-code-review. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are robust AI code review tools providing precise line-level feedback for large repositories?
you: not recommended
AI recommended (in order):
1. CodeGuru Security
2. DeepSource
3. SonarQube (SonarSource/sonarqube)
4. Snyk Code
5. GitHub Copilot Enterprise (github/codeql)
6. Codiga
AI recommended 6 alternatives but never named alibaba/open-code-review. 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 alibaba/open-code-review?
pass
AI named alibaba/open-code-review explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts alibaba/open-code-review in production, what risks or prerequisites should they evaluate first?
pass
AI named alibaba/open-code-review 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 alibaba/open-code-review solve, and who is the primary audience?
pass
AI named alibaba/open-code-review explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/alibaba/open-code-review.svg)](https://repogeo.com/en/r/alibaba/open-code-review)

HTML

<a href="https://repogeo.com/en/r/alibaba/open-code-review"><img src="https://repogeo.com/badge/alibaba/open-code-review.svg" alt="RepoGEO" /></a>

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