RRepoGEO

REPOGEO REPORT · LITE

PhialsBasement/Chain-of-Recursive-Thoughts

Default branch main · commit 5fa5f661 · scanned 5/21/2026, 5:42:48 AM

GitHub: 2,327 stars · 125 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
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 PhialsBasement/Chain-of-Recursive-Thoughts, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    TL;DR: I made my AI think harder by making it argue with itself repeatedly. It works stupidly well.
    COPY-PASTE FIX
    TL;DR: CoRT (Chain of Recursive Thoughts) is a novel method for enhancing LLM reasoning and self-critique by making AI models recursively argue with and refine their own outputs. It works stupidly well.
  • mediumabout#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/PhialsBasement/Chain-of-Recursive-Thoughts

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 PhialsBasement/Chain-of-Recursive-Thoughts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 3×
  2. OpenAI API · recommended 2×
  3. huggingface/trl · recommended 2×
  4. run-llama/llama_index · recommended 2×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    How to make AI models generate more accurate and robust programming solutions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Hugging Face TRL (huggingface/trl)
    4. PVS
    5. Coq
    6. Frama-C
    7. SonarQube
    8. ESLint (eslint/eslint)
    9. PyLint (pylint-dev/pylint)
    10. Pytest (pytest-dev/pytest)
    11. JUnit (junit-team/junit5)
    12. NUnit (nunit/nunit)
    13. Jest (jestjs/jest)
    14. LangChain (langchain-ai/langchain)
    15. LlamaIndex (run-llama/llama_index)
    16. Pinecone
    17. Weaviate (weaviate/weaviate)
    18. ChromaDB (chroma-core/chroma)
    19. LangChain Agents (langchain-ai/langchain)
    20. AutoGPT (Significant-Gravitas/AutoGPT)

    AI recommended 20 alternatives but never named PhialsBasement/Chain-of-Recursive-Thoughts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for methods to enable LLMs to self-critique and refine their own outputs.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Transformers (huggingface/transformers)
    4. trl library (huggingface/trl)
    5. OpenAI API
    6. Anthropic API
    7. Claude models

    AI recommended 7 alternatives but never named PhialsBasement/Chain-of-Recursive-Thoughts. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 PhialsBasement/Chain-of-Recursive-Thoughts?
    pass
    AI named PhialsBasement/Chain-of-Recursive-Thoughts explicitly

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

  • If a team adopts PhialsBasement/Chain-of-Recursive-Thoughts in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name PhialsBasement/Chain-of-Recursive-Thoughts — 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 PhialsBasement/Chain-of-Recursive-Thoughts solve, and who is the primary audience?
    pass
    AI did not name PhialsBasement/Chain-of-Recursive-Thoughts — 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?

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PhialsBasement/Chain-of-Recursive-Thoughts — 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
PhialsBasement/Chain-of-Recursive-Thoughts — RepoGEO report