RRepoGEO

REPOGEO REPORT · LITE

anthropics/claude-code-action

Default branch main · commit b020494b · scanned 5/17/2026, 8:26:37 PM

GitHub: 7,616 stars · 1,838 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
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 anthropics/claude-code-action, 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
  • highabout#1
    Add a concise About description

    Why:

    COPY-PASTE FIX
    A GitHub Action that integrates Anthropic's Claude AI into pull requests and issues for automated code reviews, fixes, and interactive assistance.
  • hightopics#2
    Add specific topics for categorization

    Why:

    COPY-PASTE FIX
    github-action, claude, ai-assistant, code-review, pull-requests, github-issues, code-automation, generative-ai
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/anthropics/claude-code-action

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 anthropics/claude-code-action
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot for Pull Requests
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot for Pull Requests · recommended 1×
  2. CodeRabbit · recommended 1×
  3. DeepSource · recommended 1×
  4. Codiga · recommended 1×
  5. SonarQube/SonarCloud · recommended 1×
  • CATEGORY QUERY
    How to get AI assistance for code reviews and automatic fixes on GitHub pull requests?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests
    2. CodeRabbit
    3. DeepSource
    4. Codiga
    5. SonarQube/SonarCloud
    6. Snyk Code

    AI recommended 6 alternatives but never named anthropics/claude-code-action. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI bot can answer code questions and implement changes directly in GitHub issues?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business / GitHub Copilot Enterprise
    2. Continue.dev
    3. CodiumAI
    4. OpenAI GPT-4
    5. Anthropic Claude

    AI recommended 5 alternatives but never named anthropics/claude-code-action. 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 anthropics/claude-code-action?
    pass
    AI named anthropics/claude-code-action explicitly

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

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