RRepoGEO

REPOGEO REPORT · LITE

gkiril/oie-resources

Default branch master · commit 6d7d8e92 · scanned 5/30/2026, 3:23:03 AM

GitHub: 502 stars · 56 forks

AI VISIBILITY SCORE
28 /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
2 / 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 gkiril/oie-resources, 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
    Refine the 'About' description to clarify repo type

    Why:

    CURRENT
    A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
    COPY-PASTE FIX
    A comprehensive, human-curated index of Open Information Extraction (OIE) research papers, code, datasets, and applications.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the repository's content.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant homepage URL in the repository settings, linking to a project page, a related publication, or a main OIE research hub if applicable.

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 gkiril/oie-resources
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
spaCy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. spaCy · recommended 1×
  2. Hugging Face Transformers · recommended 1×
  3. OpenNRE · recommended 1×
  4. Stanford CoreNLP · recommended 1×
  5. AllenNLP · recommended 1×
  • CATEGORY QUERY
    What are the best open-source tools for extracting relations and facts from unstructured text?
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. Hugging Face Transformers
    3. OpenNRE
    4. Stanford CoreNLP
    5. AllenNLP
    6. Textacy

    AI recommended 6 alternatives but never named gkiril/oie-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive research papers and datasets on open information extraction systems?
    you: not recommended
    AI recommended (in order):
    1. ACL Anthology
    2. Semantic Scholar
    3. Google Scholar
    4. Hugging Face Datasets
    5. GitHub
    6. OpenIE 6
    7. ClausIE
    8. Ollie
    9. ReVerb
    10. MinIE
    11. Papers With Code
    12. University of Washington's OpenIE Project Page
    13. OpenIE 4
    14. OpenIE 5

    AI recommended 14 alternatives but never named gkiril/oie-resources. 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 gkiril/oie-resources?
    pass
    AI named gkiril/oie-resources explicitly

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

  • If a team adopts gkiril/oie-resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name gkiril/oie-resources — 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 gkiril/oie-resources solve, and who is the primary audience?
    pass
    AI named gkiril/oie-resources 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 gkiril/oie-resources. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/gkiril/oie-resources.svg)](https://repogeo.com/en/r/gkiril/oie-resources)
HTML
<a href="https://repogeo.com/en/r/gkiril/oie-resources"><img src="https://repogeo.com/badge/gkiril/oie-resources.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

gkiril/oie-resources — 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