REPOGEO REPORT · LITE
ml-tooling/ml-workspace
Default branch main · commit 024c4053 · scanned 7/10/2026, 5:05:06 PM
GitHub: 3,541 stars · 458 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 ml-tooling/ml-workspace, 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.
The category visibility step did not produce results for this scan (the LLM may have been unreachable). Re-run the diagnosis to get the full GEO picture.
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 ml-tooling/ml-workspace?skippedAI did not name ml-tooling/ml-workspace — 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 ml-tooling/ml-workspace in production, what risks or prerequisites should they evaluate first?skippedAI did not name ml-tooling/ml-workspace — 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?
- In one sentence, what problem does the repo ml-tooling/ml-workspace solve, and who is the primary audience?skippedAI did not name ml-tooling/ml-workspace — 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?
Embed your GEO score
Drop this badge into the README of ml-tooling/ml-workspace. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/ml-tooling/ml-workspace)<a href="https://repogeo.com/en/r/ml-tooling/ml-workspace"><img src="https://repogeo.com/badge/ml-tooling/ml-workspace.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
ml-tooling/ml-workspace — 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