RRepoGEO

REPOGEO REPORT · LITE

RUC-NLPIR/Search-o1

Default branch main · commit c76a700f · scanned 5/14/2026, 4:27:47 AM

GitHub: 1,221 stars · 106 forks

AI VISIBILITY SCORE
35 /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
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 RUC-NLPIR/Search-o1, 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
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    The README currently jumps from the H1 to news and a to-do list before an 'Overview' section.
    COPY-PASTE FIX
    Add a paragraph immediately after the H1 (and badges) that clearly states: "Search-o1 is an EMNLP 2025 accepted framework designed to empower large reasoning models with advanced agentic search capabilities. It enables LLMs to perform deep research and solve complex problems by effectively utilizing external search tools."
  • hightopics#2
    Add more specific topics for LLM agentic search

    Why:

    CURRENT
    aimo, amc, gpqa, livecode, math, o1, qwq, r1, rag, reasoning
    COPY-PASTE FIX
    aimo, amc, gpqa, livecode, math, o1, qwq, r1, rag, reasoning, llm-agents, agentic-ai, search-augmentation, large-language-models, reasoning-models, emnlp-2025
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://search-o1.github.io/

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 RUC-NLPIR/Search-o1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Assistants API · recommended 2×
  4. Google Search · recommended 1×
  5. SerpAPI · recommended 1×
  • CATEGORY QUERY
    How can I improve large language model reasoning performance using external search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Google Search
    3. SerpAPI
    4. Bing Search
    5. LlamaIndex
    6. OpenAI Assistants API
    7. Code Interpreter
    8. Haystack
    9. Python
    10. requests
    11. Google Custom Search API
    12. Bing Web Search API
    13. You.com API

    AI recommended 13 alternatives but never named RUC-NLPIR/Search-o1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable agentic search to solve complex mathematical or coding problems with LLMs?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. LlamaIndex
    4. OpenAI Assistants API
    5. CrewAI
    6. MetaGPT

    AI recommended 6 alternatives but never named RUC-NLPIR/Search-o1. 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 RUC-NLPIR/Search-o1?
    pass
    AI named RUC-NLPIR/Search-o1 explicitly

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

  • If a team adopts RUC-NLPIR/Search-o1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RUC-NLPIR/Search-o1 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 RUC-NLPIR/Search-o1 solve, and who is the primary audience?
    pass
    AI named RUC-NLPIR/Search-o1 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 RUC-NLPIR/Search-o1. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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RUC-NLPIR/Search-o1 — 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