RRepoGEO

REPOGEO REPORT · LITE

uditgoenka/autoresearch

Default branch master · commit 870e9b8e · scanned 6/29/2026, 11:47:00 PM

GitHub: 5,213 stars · 389 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 uditgoenka/autoresearch, 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
  • highabout#1
    Clarify the 'About' description to emphasize its role as an iterative code improvement engine

    Why:

    CURRENT
    Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
    COPY-PASTE FIX
    An autonomous iteration engine for AI-generated code (Claude Code, OpenCode, OpenAI Codex). Automates goal-directed refinement: Modify → Verify → Keep/Discard → Repeat forever. Inspired by Karpathy's autoresearch.
  • mediumreadme#2
    Enhance the README's initial bold statement to explicitly position it as an iterative code improvement tool

    Why:

    CURRENT
    **Turn Claude Code, OpenCode, or OpenAI Codex into a relentless improvement engine.**
    COPY-PASTE FIX
    **Autoresearch is an autonomous iteration engine designed to turn Claude Code, OpenCode, or OpenAI Codex into a relentless improvement system for AI-generated code.**
  • lowtopics#3
    Add more specific topics related to automated code generation and refinement

    Why:

    CURRENT
    ai, autonomous-agent, autoresearch, claude, claude-code, iteration, karpathy, productivity, skill
    COPY-PASTE FIX
    ai, autonomous-agent, autoresearch, claude, claude-code, iteration, karpathy, productivity, skill, code-generation, code-refinement, automated-code, llm-development

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 uditgoenka/autoresearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Anthropic Claude API · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Pytest · recommended 1×
  • CATEGORY QUERY
    How can I automate iterative refinement of AI-generated code based on specific metrics?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. LangChain
    4. LlamaIndex
    5. Pytest
    6. JUnit
    7. Go's `testing` package
    8. NUnit
    9. Prometheus
    10. Grafana
    11. GitHub Actions
    12. GitLab CI/CD
    13. Jenkins
    14. MLflow
    15. Weights & Biases

    AI recommended 15 alternatives but never named uditgoenka/autoresearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to continuously improve AI agent performance through automated code modifications.
    you: not recommended
    AI recommended (in order):
    1. 🤗 Transformers (huggingface/transformers)
    2. TRL (huggingface/trl)
    3. OpenAI API
    4. Google Cloud Vertex AI
    5. Weights & Biases (wandb/wandb)
    6. MLflow (mlflow/mlflow)
    7. Hyperopt (hyperopt/hyperopt)
    8. Optuna (optuna/optuna)
    9. DEAP (deap/deap)
    10. PyGAD (ahmedfgad/PyGAD)
    11. LangChain (langchain-ai/langchain)
    12. LlamaIndex (run-llama/llama_index)
    13. OpenAI Evals (openai/evals)
    14. Sourcery (sourcery-ai/sourcery)
    15. Pylint (pylint-dev/pylint)

    AI recommended 15 alternatives but never named uditgoenka/autoresearch. 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 uditgoenka/autoresearch?
    pass
    AI named uditgoenka/autoresearch explicitly

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

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

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

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uditgoenka/autoresearch — 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