RRepoGEO

REPOGEO REPORT · LITE

Timothyxxx/Chain-of-ThoughtsPapers

Default branch main · commit e0d02c0a · scanned 5/26/2026, 10:02:51 AM

GitHub: 2,104 stars · 142 forks

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 Timothyxxx/Chain-of-ThoughtsPapers, 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
  • highreadme#1
    Reposition README's opening to clarify it's a curated paper list

    Why:

    CURRENT
    A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
    COPY-PASTE FIX
    This repository is a curated collection of research papers on Chain-of-Thought (CoT) prompting and related advanced prompting techniques for Large Language Models (LLMs).
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a standard open-source license, such as MIT or Apache-2.0, to clarify usage rights.
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
    COPY-PASTE FIX
    A curated collection of research papers on Chain-of-Thought (CoT) prompting and advanced reasoning techniques for Large Language Models.

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 Timothyxxx/Chain-of-ThoughtsPapers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ReAct
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ReAct · recommended 1×
  2. arXiv · recommended 1×
  3. Google Scholar · recommended 1×
  4. ACL Anthology · recommended 1×
  5. Semantic Scholar · recommended 1×
  • CATEGORY QUERY
    How can I enhance reasoning capabilities in large language models using advanced prompting techniques?
    you: not recommended
    AI recommended (in order):
    1. ReAct

    AI recommended 1 alternative but never named Timothyxxx/Chain-of-ThoughtsPapers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find research papers on different in-context learning and prompt engineering strategies?
    you: not recommended
    AI recommended (in order):
    1. arXiv
    2. Google Scholar
    3. ACL Anthology
    4. Semantic Scholar
    5. Papers With Code
    6. OpenReview
    7. Google AI Blog
    8. OpenAI Blog
    9. Hugging Face Blog

    AI recommended 9 alternatives but never named Timothyxxx/Chain-of-ThoughtsPapers. 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 Timothyxxx/Chain-of-ThoughtsPapers?
    pass
    AI did not name Timothyxxx/Chain-of-ThoughtsPapers — 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 Timothyxxx/Chain-of-ThoughtsPapers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Timothyxxx/Chain-of-ThoughtsPapers 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 Timothyxxx/Chain-of-ThoughtsPapers solve, and who is the primary audience?
    pass
    AI did not name Timothyxxx/Chain-of-ThoughtsPapers — 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

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Timothyxxx/Chain-of-ThoughtsPapers — 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