RRepoGEO

REPOGEO REPORT · LITE

Ataraxy-Labs/sem

Default branch main · commit 87b690d8 · scanned 6/23/2026, 3:37:23 AM

GitHub: 2,967 stars · 92 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 Ataraxy-Labs/sem, 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
    Add a clear project status and reposition the README's opening statement

    Why:

    CURRENT
    The current README starts with "Part of the Ataraxy Labs stack" and then "Semantic version control built on Git."
    COPY-PASTE FIX
    Add a prominent 'Status: Actively Maintained' badge or line near the top. Then, rephrase the opening to immediately state: 'sem is the next generation of Git, providing semantic version control with entity-level diffs, blame, and impact analysis. Built specifically for coding agents, it understands your code at a deeper level than lines, enabling powerful new workflows for AI development.'
  • highabout#2
    Refine repository description for clarity and differentiation

    Why:

    CURRENT
    Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.
    COPY-PASTE FIX
    Next-gen semantic version control for coding agents: entity-level diffs, blame, and impact analysis on top of Git. Understands 28 languages via tree-sitter, enabling AI-native code intelligence.
  • mediumcomparison#3
    Add a 'Why sem?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new top-level section in the README titled 'Why sem? Beyond Lines of Code' or 'sem vs. Traditional Git & Static Analysis'. In this section, explicitly contrast `sem`'s entity-level version control with line-based Git and explain how it differs from tools like SonarQube or CodeScene by focusing on versioning and agent workflows rather than just static analysis.

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 Ataraxy-Labs/sem
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. Understand.ai (SciTools Understand) · recommended 1×
  3. CodeScene · recommended 1×
  4. Sourcetrail · recommended 1×
  5. Python's `ast` module · recommended 1×
  • CATEGORY QUERY
    How to get entity-level code diffs and impact analysis for AI development agents?
    you: not recommended
    AI recommended (in order):
    1. Understand.ai (SciTools Understand)
    2. CodeScene
    3. SonarQube
    4. Sourcetrail
    5. Python's `ast` module
    6. Tree-sitter (tree-sitter/tree-sitter)
    7. GitHub
    8. GitLab
    9. Bitbucket

    AI recommended 9 alternatives but never named Ataraxy-Labs/sem. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide semantic version control with entity-level blame and impact analysis?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. GitHub Actions
    3. GitLab CI/CD
    4. Jenkins
    5. semantic-release
    6. commitizen
    7. SonarQube
    8. Perforce Helix Core
    9. Helix ALM
    10. Plastic SCM
    11. Azure DevOps
    12. Azure Repos
    13. Azure Pipelines
    14. Visual Studio
    15. Mercurial
    16. Checkmarx
    17. Coverity
    18. Jira
    19. Azure DevOps Boards

    AI recommended 19 alternatives but never named Ataraxy-Labs/sem. 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 Ataraxy-Labs/sem?
    pass
    AI named Ataraxy-Labs/sem explicitly

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

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

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

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Ataraxy-Labs/sem — 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