RRepoGEO

REPOGEO REPORT · LITE

anthropics/claude-code-action

Default branch main · commit a92e7c70 · scanned 6/29/2026, 1:21:14 AM

GitHub: 8,165 stars · 1,934 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
23 /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
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 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A general-purpose GitHub Action that uses Anthropic's Claude AI to automate code reviews, answer questions, and implement code changes directly in PRs and issues.
  • mediumreadme#2
    Refine README's opening sentence for clearer positioning and differentiator

    Why:

    CURRENT
    A general-purpose Claude Code action for GitHub PRs and issues that can answer questions and implement code changes.
    COPY-PASTE FIX
    The Claude Code Action is a powerful GitHub Action that brings Anthropic's Claude AI directly into your pull requests and issues, serving as an intelligent code assistant for reviews, questions, and automated code changes.

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 (Preview)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot for Pull Requests (Preview) · recommended 1×
  2. CodeRabbit · recommended 1×
  3. DeepSource · recommended 1×
  4. Codiga · recommended 1×
  5. SonarQube · recommended 1×
  • CATEGORY QUERY
    How to automate code reviews and implement fixes using an AI assistant in pull requests?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests (Preview)
    2. CodeRabbit
    3. DeepSource
    4. Codiga
    5. SonarQube
    6. GitHub Copilot
    7. OpenAI API

    AI recommended 7 alternatives but never named anthropics/claude-code-action. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI tool to answer code questions and help resolve issues directly in my repository.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. Tabnine Chat
    5. Cody by Sourcegraph (sourcegraph/cody)
    6. Continue.dev (Continue-team/continue)

    AI recommended 6 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 did not name anthropics/claude-code-action — 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 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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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