RRepoGEO

REPOGEO REPORT · LITE

google-github-actions/run-gemini-cli

Default branch main · commit 055c24c9 · scanned 5/23/2026, 7:11:55 AM

GitHub: 1,997 stars · 253 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
33 /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
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 google-github-actions/run-gemini-cli, 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 and Overview to emphasize AI agent role

    Why:

    CURRENT
    # run-gemini-cli

## Overview

`run-gemini-cli` is a GitHub Action that integrates [Gemini] into your development workflow via the [Gemini CLI]. It acts both as an autonomous agent for critical routine coding tasks, and an on-demand collaborator you can quickly delegate work to.
    COPY-PASTE FIX
    # run-gemini-cli: Gemini AI Agent for GitHub Workflows

## Overview

`run-gemini-cli` is a GitHub Action that transforms the [Gemini CLI] into a powerful **AI agent and on-demand collaborator** directly within your GitHub workflows. It empowers Gemini to autonomously perform critical coding tasks like pull request reviews, issue triage, and code modifications, enabling conversational interaction (e.g., `@gemini-cli fix this issue`) inside your repositories.
  • mediumtopics#2
    Add more specific topics related to AI agents and workflow automation

    Why:

    CURRENT
    actions, ai, gcp, gemini, gemini-cli, github-actions, google-cloud, google-cloud-platform
    COPY-PASTE FIX
    actions, ai, gcp, gemini, gemini-cli, github-actions, google-cloud, google-cloud-platform, ai-agent, code-review-automation, issue-triage, workflow-automation, generative-ai
  • lowreadme#3
    Add a 'Comparison' or 'Why run-gemini-cli?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled "## Why run-gemini-cli? (vs. other AI tools)" or "## Comparison to Alternatives" to the README. This section should explicitly differentiate `run-gemini-cli` from generic code analysis tools (e.g., SonarQube, DeepSource) and other AI assistants (e.g., GitHub Copilot for PRs) by highlighting its unique role as a direct, conversational Gemini AI agent for autonomous task execution within GitHub workflows.

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 google-github-actions/run-gemini-cli
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. DeepSource · recommended 1×
  3. CodeGuru Reviewer · recommended 1×
  4. Codacy · recommended 1×
  5. SonarQube / SonarCloud · recommended 1×
  • CATEGORY QUERY
    How can I automate pull request feedback with an AI in my development workflow?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests
    2. DeepSource
    3. CodeGuru Reviewer
    4. Codacy
    5. SonarQube / SonarCloud
    6. GitLab Duo Code Suggestions
    7. OpenAI API

    AI recommended 7 alternatives but never named google-github-actions/run-gemini-cli. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to perform AI-driven code analysis and issue triage within my repositories.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. DeepCode AI (Snyk Code)
    3. SonarQube (with SonarCloud/SonarLint for AI features)
    4. CodeGuru Security (AWS)
    5. Semgrep (with Semgrep AppSec Platform)
    6. Tabnine Enterprise

    AI recommended 6 alternatives but never named google-github-actions/run-gemini-cli. 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 google-github-actions/run-gemini-cli?
    pass
    AI did not name google-github-actions/run-gemini-cli — 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 google-github-actions/run-gemini-cli in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-github-actions/run-gemini-cli 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 google-github-actions/run-gemini-cli solve, and who is the primary audience?
    pass
    AI named google-github-actions/run-gemini-cli explicitly

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

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google-github-actions/run-gemini-cli — 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