RRepoGEO

REPOGEO REPORT · LITE

jiji262/build-code-agent

Default branch main · commit a6c050bf · scanned 6/13/2026, 10:07:51 AM

GitHub: 611 stars · 161 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 jiji262/build-code-agent, 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 H1 to explicitly state 'Course' or 'Tutorial'

    Why:

    CURRENT
    # 深入 Claude Code 源码：从架构到实践，构建你自己的 AI 编程代理
    COPY-PASTE FIX
    # AI 编程代理深度解析课程：从零构建 Code Agent (基于 Claude Code 源码)
  • hightopics#2
    Add specific topics to improve categorization and discoverability

    Why:

    COPY-PASTE FIX
    ai-agent, code-agent, claude-code, deep-dive, tutorial, course, ai-programming, generative-ai, large-language-models, agent-engineering
  • mediumlicense#3
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the intended usage of the course materials and code examples.

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 jiji262/build-code-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI GPT-4 · recommended 1×
  4. GPT-3.5 Turbo · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to engineer a custom AI programming agent with file system and execution capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. GPT-3.5 Turbo
    4. AutoGPT
    5. AgentGPT
    6. SuperAGI
    7. LlamaIndex
    8. Hugging Face Transformers Agents
    9. OpenAI Python API

    AI recommended 9 alternatives but never named jiji262/build-code-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to understand core agent loop, tool integration, and multi-agent collaboration for coding.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. OpenAI Assistants API
    6. Haystack

    AI recommended 6 alternatives but never named jiji262/build-code-agent. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 jiji262/build-code-agent?
    pass
    AI named jiji262/build-code-agent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts jiji262/build-code-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jiji262/build-code-agent 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 jiji262/build-code-agent solve, and who is the primary audience?
    pass
    AI named jiji262/build-code-agent 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 jiji262/build-code-agent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/jiji262/build-code-agent.svg)](https://repogeo.com/en/r/jiji262/build-code-agent)
HTML
<a href="https://repogeo.com/en/r/jiji262/build-code-agent"><img src="https://repogeo.com/badge/jiji262/build-code-agent.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jiji262/build-code-agent — 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