REPOGEO REPORT · LITE
Ataraxy-Labs/sem
Default branch main · commit 6c397758 · scanned 5/12/2026, 6:52:11 PM
GitHub: 1,997 stars · 59 forks
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.
- highreadme#1Reposition the README tagline to explicitly mention AI agents
Why:
CURRENT<p align="center"> <strong>Semantic version control built on Git.</strong><br> Instead of lines changed, sem tells you what entities changed: functions, methods, classes. </p>
COPY-PASTE FIX<p align="center"> <strong>Semantic version control built on Git for AI coding agents.</strong><br> Instead of lines changed, sem tells you what entities changed: functions, methods, classes. </p>
- mediumcomparison#2Add a 'Comparison' section to the README
Why:
COPY-PASTE FIXAdd a new section titled '## Comparison to other tools' or '## How `sem` compares' that briefly outlines `sem`'s unique approach (e.g., built on Git, focus on agents, specific entity types) compared to tools like SemanticDiff, GumTree, or RefactoringMiner.
- lowreadme#3Clarify core dependencies in the README
Why:
COPY-PASTE FIXAdd a small section or sentence under 'How it works' or 'Architecture' clarifying that `sem` leverages Git for version control and Tree-sitter for robust, language-agnostic code parsing. For example: '## Architecture: `sem` builds on Git for version control and uses Tree-sitter for robust, language-agnostic code parsing.'
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.
- SemanticDiff · recommended 1×
- GumTreeDiff/gumtree · recommended 1×
- tsantalis/RefactoringMiner · recommended 1×
- tree-sitter/tree-sitter · recommended 1×
- ast module · recommended 1×
- CATEGORY QUERYHow can I get entity-level diffs for functions and classes instead of line-by-line changes?you: not recommendedAI recommended (in order):
- SemanticDiff
- GumTree (GumTreeDiff/gumtree)
- RefactoringMiner (tsantalis/RefactoringMiner)
- Tree-sitter (tree-sitter/tree-sitter)
- ast module
- go/ast
- Roslyn (dotnet/roslyn)
- IntelliJ IDEA
- GitHub's Rich Diffs
AI recommended 9 alternatives but never named Ataraxy-Labs/sem. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat version control tools provide semantic understanding for AI coding agents?you: not recommendedAI recommended (in order):
- Git
- GitHub Copilot
- Sourcegraph Cody
- GitHub
- GitLab
- Bitbucket
- Perforce Helix Core
- Mercurial
AI recommended 8 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI named Ataraxy-Labs/sem 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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[](https://repogeo.com/en/r/Ataraxy-Labs/sem)<a href="https://repogeo.com/en/r/Ataraxy-Labs/sem"><img src="https://repogeo.com/badge/Ataraxy-Labs/sem.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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