RRepoGEO

REPOGEO REPORT · LITE

terrier-org/pyterrier

Default branch master · commit 2a14605c · scanned 6/12/2026, 11:11:58 PM

GitHub: 501 stars · 75 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 terrier-org/pyterrier, 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
    Move the core value proposition to the top of the README

    Why:

    CURRENT
    PyTerrier - v1.0

<p align="center">
  🔍 <b>Retrieve.</b> 🧠 <b>Rerank.</b> 💬 <b>Answer.</b> ⚙️ <b>Experiment.</b>
</p>

# Overview

Build (sparse|learned sparse|dense) indexing and retrieval pipelines for search and RAG use-cases, and conduct experiments on standard datasets.
    COPY-PASTE FIX
    PyTerrier is a Python framework for building (sparse|learned sparse|dense) indexing and retrieval pipelines for search and RAG use-cases, and conducting experiments on standard datasets.

<p align="center">
  🔍 <b>Retrieve.</b> 🧠 <b>Rerank.</b> 💬 <b>Answer.</b> ⚙️ <b>Experiment.</b>
</p>
  • mediumabout#2
    Update the repository description to explicitly mention RAG and pipelines

    Why:

    CURRENT
    A Python framework for performing information retrieval experiments, building on http://terrier.org/
    COPY-PASTE FIX
    A Python framework for building and experimenting with information retrieval (IR) pipelines, including search, RAG, and re-ranking models, leveraging the Terrier IR platform.

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 terrier-org/pyterrier
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
deepset-ai/haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. deepset-ai/haystack · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. elastic/elasticsearch · recommended 1×
  4. elastic/elasticsearch-py · recommended 1×
  5. facebookresearch/faiss · recommended 1×
  • CATEGORY QUERY
    How can I build and experiment with information retrieval pipelines in Python?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (run-llama/llama_index)
    3. Elasticsearch (elastic/elasticsearch)
    4. elasticsearch-py (elastic/elasticsearch-py)
    5. Faiss (facebookresearch/faiss)
    6. sentence-transformers (UKPLab/sentence-transformers)
    7. Scikit-learn (scikit-learn/scikit-learn)
    8. Gensim (RaRe-Technologies/gensim)
    9. Whoosh (mchaput/whoosh)

    AI recommended 9 alternatives but never named terrier-org/pyterrier. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to implement custom search, RAG, and re-ranking models.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. Sentence-Transformers
    5. Faiss
    6. Rank_BM25
    7. Transformers

    AI recommended 7 alternatives but never named terrier-org/pyterrier. 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 terrier-org/pyterrier?
    pass
    AI named terrier-org/pyterrier explicitly

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

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

    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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  • Brand-free category queries5 vs 2 in Lite
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