RRepoGEO

REPOGEO REPORT · LITE

kenn-io/roborev

Default branch main · commit dd58e17a · scanned 5/29/2026, 5:02:12 AM

GitHub: 1,272 stars · 112 forks

AI VISIBILITY SCORE
35 /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
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 kenn-io/roborev, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-code-review, llm-agents, code-quality, git-hooks, developer-tools, static-analysis, agentic-workflow, ai-generated-code
  • highreadme#2
    Clarify README's opening to emphasize AI-native code review

    Why:

    CURRENT
    Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound. Pull code reviews into your agentic loop while context is fresh.
    COPY-PASTE FIX
    RoboRev provides continuous, background code review specifically engineered for **AI coding agents and AI-generated code**. Unlike traditional static analysis tools, RoboRev integrates directly into agentic workflows, reviewing every commit as agents write code to surface issues in seconds and ensure accountability for every line.
  • mediumreadme#3
    Add a 'Why RoboRev for AI Agents?' section to explicitly differentiate from traditional tools

    Why:

    COPY-PASTE FIX
    ### Why RoboRev for AI Agents?
Traditional code review tools like SonarQube or DeepSource are built for human-written code. RoboRev is purpose-built for the unique challenges of AI-generated code, offering real-time, contextual feedback directly within your agentic loops, ensuring quality and accountability from the first commit.

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 kenn-io/roborev
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 2×
  2. DeepSource · recommended 2×
  3. Pylint · recommended 2×
  4. GitHub CodeQL · recommended 1×
  5. Snyk Code · recommended 1×
  • CATEGORY QUERY
    How to continuously review AI-generated code commits in the background?
    you: not recommended
    AI recommended (in order):
    1. GitHub CodeQL
    2. SonarQube
    3. Snyk Code
    4. DeepSource
    5. Semgrep
    6. ESLint
    7. Pylint
    8. RuboCop
    9. Codacy

    AI recommended 9 alternatives but never named kenn-io/roborev. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to automate code review feedback for AI agents before merging?
    you: not recommended
    AI recommended (in order):
    1. DeepSource
    2. SonarQube
    3. CodeClimate
    4. LGTM (by Semmle/GitHub Advanced Security)
    5. Pylint
    6. Flake8

    AI recommended 6 alternatives but never named kenn-io/roborev. 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 kenn-io/roborev?
    pass
    AI named kenn-io/roborev explicitly

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

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

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

Embed your GEO score

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kenn-io/roborev — 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