RRepoGEO

REPOGEO REPORT · LITE

kodustech/kodus-ai

Default branch main · commit f4cc3611 · scanned 5/18/2026, 10:17:10 PM

GitHub: 1,107 stars · 102 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
40 /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
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 kodustech/kodus-ai, 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
    Refine repository topics to improve categorization

    Why:

    CURRENT
    ai, ai-agents, ai-code-review, ai-coding-tools, code-review, coding-assistant, generative-ai, hacktoberfest
    COPY-PASTE FIX
    ai-code-review-tool, self-hosted-ai, privacy-focused, devops-tool, code-quality, llm-agnostic, ai, ai-agents, ai-code-review, ai-coding-tools, code-review, coding-assistant, generative-ai
  • mediumreadme#2
    Add explicit license statement to README

    Why:

    COPY-PASTE FIX
    Kodus is licensed under [Specify License Type(s) here, e.g., 'a custom license detailed in LICENSE.md' or 'the Apache 2.0 License and MIT License for different components as detailed in LICENSE.md']. Please see the [LICENSE.md](LICENSE.md) file for full details.
  • lowreadme#3
    Add a 'Kodus vs. Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Kodus vs. Alternatives

Kodus stands out by offering [mention key differentiators like model agnosticism, zero LLM markup, self-hosting, and privacy] compared to [mention categories like generic LLM APIs, broad enterprise platforms, or other code review tools]. We provide full control over your model choice and costs, ensuring your code never trains third-party models, and support seamless integration into your existing Git 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 kodustech/kodus-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Snyk Code · recommended 2×
  3. GitHub Actions · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. ollama/ollama · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI code review into my workflow with custom rules?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. OpenAI GPT-4
    3. Llama 3
    4. ollama (ollama/ollama)
    5. vLLM (vllm-project/vllm)
    6. DeepCode AI
    7. Snyk Code
    8. AWS CodeGuru Reviewer
    9. SonarQube
    10. Trunk Check (trunk-io/trunk)

    AI recommended 10 alternatives but never named kodustech/kodus-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI code review tools offer model flexibility and self-hosting for privacy?
    you: not recommended
    AI recommended (in order):
    1. GitLab Ultimate
    2. GitHub Enterprise Server
    3. GitHub Copilot Enterprise
    4. Amazon CodeGuru Reviewer
    5. AWS Outposts
    6. AWS Local Zones
    7. Snyk Code
    8. Llama 3
    9. Code Llama
    10. Mistral
    11. Reviewdog

    AI recommended 11 alternatives but never named kodustech/kodus-ai. 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 kodustech/kodus-ai?
    pass
    AI named kodustech/kodus-ai explicitly

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

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

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

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kodustech/kodus-ai — 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