RRepoGEO

REPOGEO REPORT · LITE

marckrenn/claude-code-changelog

Default branch main · commit e34326fe · scanned 6/16/2026, 2:22:03 PM

GitHub: 847 stars · 69 forks

AI VISIBILITY SCORE
28 /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
2 / 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 marckrenn/claude-code-changelog, 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/first paragraph to clarify purpose

    Why:

    CURRENT
    Unofficial, community-maintained tracking of Claude Code prompt and feature-flag evolution across releases.
    COPY-PASTE FIX
    This repository is a public archive and research resource, meticulously documenting the internal evolution of Anthropic's Claude Code model's system prompts, feature flags, and metadata across releases.
  • highlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Expand topics to emphasize data archive/research aspect

    Why:

    CURRENT
    ai-agents, anthropic, anthropic-claude, claude-code, claude-code-system-prompts, system-prompts, system-prompts-leak
    COPY-PASTE FIX
    ai-agents, anthropic, anthropic-claude, claude-code, claude-code-system-prompts, system-prompts, system-prompts-leak, llm-research, prompt-engineering, ai-model-tracking, data-archive, llm-internals

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 marckrenn/claude-code-changelog
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Git
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Git · recommended 2×
  2. GitHub · recommended 2×
  3. GitLab · recommended 2×
  4. Bitbucket · recommended 2×
  5. PostgreSQL · recommended 2×
  • CATEGORY QUERY
    How to track the evolution of large language model system prompts across releases?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. GitHub
    3. GitLab
    4. Bitbucket
    5. MLflow (mlflow/mlflow)
    6. DVC (iterative/dvc)
    7. PostgreSQL
    8. MongoDB
    9. Redis
    10. LangChain Hub (langchain-ai/langchain-hub)
    11. Weights & Biases Prompts

    AI recommended 11 alternatives but never named marckrenn/claude-code-changelog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to monitor how AI assistant instructions and feature flags change between versions?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. GitHub
    3. GitLab
    4. Bitbucket
    5. LaunchDarkly
    6. Optimizely Configs
    7. ConfigCat
    8. AWS AppConfig
    9. PostgreSQL
    10. MongoDB

    AI recommended 10 alternatives but never named marckrenn/claude-code-changelog. 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 marckrenn/claude-code-changelog?
    pass
    AI did not name marckrenn/claude-code-changelog — likely talking about a different project

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

  • If a team adopts marckrenn/claude-code-changelog in production, what risks or prerequisites should they evaluate first?
    pass
    AI named marckrenn/claude-code-changelog 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 marckrenn/claude-code-changelog solve, and who is the primary audience?
    pass
    AI named marckrenn/claude-code-changelog explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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