REPOGEO REPORT · LITE
samuelfaj/distill
Default branch main · commit 361c66b0 · scanned 5/30/2026, 5:52:15 AM
GitHub: 567 stars · 34 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 samuelfaj/distill, 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 H1 to specify its purpose for AI agents
Why:
CURRENT# distill
COPY-PASTE FIX# distill: Condense CLI Output for AI Agents & LLMs to Save Tokens
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXAdd a `LICENSE` file to the repository root, specifying your chosen open-source license.
- mediumtopics#3Update repository topics for better categorization
Why:
CURRENTclaude-code, codex, llm, tokens
COPY-PASTE FIXllm-agent, cli-tool, token-optimization, command-line, output-processing, generative-ai, local-llm
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.
- OpenAI API · recommended 1×
- Anthropic Claude · recommended 1×
- Google Gemini API · recommended 1×
- Mistral AI · recommended 1×
- Hugging Face Transformers · recommended 1×
- CATEGORY QUERYTool to summarize verbose command line logs for AI agents to save costs?you: not recommendedAI recommended (in order):
- OpenAI API
- Anthropic Claude
- Google Gemini API
- Mistral AI
- Hugging Face Transformers
- Llama 3
- Falcon
- BART
- T5
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Logstash
- Fluentd
- Splunk
- ELK Stack
- Elasticsearch
- Kibana
AI recommended 18 alternatives but never named samuelfaj/distill. This is the gap to close.
Show full AI answer
- CATEGORY QUERYEfficiently condense lengthy terminal output for large language model context windows?you: not recommendedAI recommended (in order):
- jq
- awk
- grep
- sed
- cut
- tail
- head
- less
AI recommended 8 alternatives but never named samuelfaj/distill. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 samuelfaj/distill?passAI named samuelfaj/distill explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts samuelfaj/distill in production, what risks or prerequisites should they evaluate first?passAI named samuelfaj/distill 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 samuelfaj/distill solve, and who is the primary audience?passAI named samuelfaj/distill explicitly
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 samuelfaj/distill. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/samuelfaj/distill)<a href="https://repogeo.com/en/r/samuelfaj/distill"><img src="https://repogeo.com/badge/samuelfaj/distill.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
samuelfaj/distill — 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