RRepoGEO

REPOGEO REPORT · LITE

Shark-NLP/OpenICL

Default branch main · commit 1613ae10 · scanned 6/9/2026, 4:57:41 AM

GitHub: 588 stars · 31 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 Shark-NLP/OpenICL, 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
    Clarify OpenICL's specialized research focus in the README's Overview

    Why:

    CURRENT
    OpenICL provides an easy interface for in-context learning, with many state-of-the-art retrieval and inference methods built in to facilitate systematic comparison of LMs and fast research prototyping.
    COPY-PASTE FIX
    OpenICL is a specialized open-source framework designed for NLP researchers and developers to systematically explore, compare, and prototype various in-context learning (ICL) methods and example selection strategies. Unlike general LLM application frameworks, OpenICL focuses exclusively on advancing ICL methodologies with state-of-the-art retrieval and inference built-in.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    in-context-learning, language-model, nlp
    COPY-PASTE FIX
    in-context-learning, icl, llm-research, nlp-framework, prompt-engineering, few-shot-learning, retrieval-augmented-generation
  • mediumhomepage#3
    Add documentation URL as repository homepage

    Why:

    COPY-PASTE FIX
    https://openicl.readthedocs.io/en/latest/index.html

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 Shark-NLP/OpenICL
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. Haystack · recommended 2×
  4. Humanloop · recommended 1×
  5. Vellum · recommended 1×
  • CATEGORY QUERY
    How to easily prototype and compare in-context learning methods for language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Humanloop
    4. Vellum
    5. Weights & Biases Prompts
    6. OpenAI Playground
    7. Google AI Studio
    8. Haystack
    9. Guidance

    AI recommended 9 alternatives but never named Shark-NLP/OpenICL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an NLP framework to experiment with various in-context learning retrieval and inference techniques.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. DeepPavlov
    6. Flair

    AI recommended 6 alternatives but never named Shark-NLP/OpenICL. 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 Shark-NLP/OpenICL?
    pass
    AI named Shark-NLP/OpenICL explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite