RRepoGEO

REPOGEO REPORT · LITE

castorini/anserini

Default branch master · commit deb4c7bb · scanned 5/9/2026, 3:02:25 AM

GitHub: 1,109 stars · 593 forks

AI VISIBILITY SCORE
71 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
Rule findings
2 pass · 0 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 castorini/anserini, 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 opening to clarify scope

    Why:

    CURRENT
    Anserini is a toolkit for reproducible information retrieval research. By building on Lucene, we aim to bridge the gap between academic information retrieval research and the practice of building real-world search applications.
    COPY-PASTE FIX
    Anserini is a toolkit for reproducible information retrieval research. Built on Lucene, it aims to bridge the gap between academic information retrieval research and the practice of building real-world search applications. Please note: Anserini is primarily a research toolkit and not a standalone production search engine like Elasticsearch or Solr.
  • mediumtopics#2
    Add more specific research-oriented topics

    Why:

    CURRENT
    information-retrieval, lucene
    COPY-PASTE FIX
    information-retrieval, lucene, ir-research, reproducibility, nlp-research
  • mediumfaq#3
    Add FAQ entry distinguishing from production search engines

    Why:

    COPY-PASTE FIX
    ## FAQ

**Q: Is Anserini a standalone search engine for production applications?**
A: No, Anserini is primarily a toolkit for reproducible information retrieval research, built on Lucene. While it can be used to build search applications, its core focus is on academic experimentation and bridging research with practice, rather than serving as a production-ready search engine like Elasticsearch or Solr.

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
1 / 2
50% of queries surface castorini/anserini
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
OpenSearch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenSearch · recommended 2×
  2. Apache Lucene · recommended 2×
  3. Pyserini · recommended 1×
  4. IR_datasets · recommended 1×
  5. Trec_eval · recommended 1×
  • CATEGORY QUERY
    How can I conduct reproducible information retrieval research with a robust toolkit?
    you: #2
    AI recommended (in order):
    1. Pyserini
    2. Anserini ← you
    3. IR_datasets
    4. Trec_eval
    5. pytrec_eval
    6. OpenSearch
    7. Apache Lucene
    Show full AI answer
  • CATEGORY QUERY
    What are good open-source Lucene-based frameworks for building advanced search applications?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch
    2. Apache Solr
    3. Apache Lucene
    4. OpenSearch
    5. Lucene.NET

    AI recommended 5 alternatives but never named castorini/anserini. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 castorini/anserini?
    pass
    AI named castorini/anserini explicitly

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

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

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

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castorini/anserini — 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