RRepoGEO

REPOGEO REPORT · LITE

AnswerDotAI/rerankers

Default branch main · commit 5b9cbb07 · scanned 5/24/2026, 9:51:47 AM

GitHub: 1,615 stars · 100 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 AnswerDotAI/rerankers, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    reranking, cross-encoder, information-retrieval, nlp, llm, search-relevance, python-library, unified-api
  • highreadme#2
    Reposition the README's opening to highlight its unified API and low-dependency nature

    Why:

    CURRENT
    Welcome to `rerankers`! Our goal is to provide users with a simple API to use any reranking models.
    COPY-PASTE FIX
    Welcome to `rerankers`! Our goal is to provide a lightweight, low-dependency, unified API to easily integrate and use all common reranking and cross-encoder models within your retrieval systems.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.answer.ai/

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 AnswerDotAI/rerankers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Haystack · recommended 1×
  2. sentence_transformers library · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. LlamaIndex · recommended 1×
  5. RankGPT · recommended 1×
  • CATEGORY QUERY
    How to easily integrate different cross-encoder and reranking models into my retrieval system?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. sentence_transformers library
    3. Hugging Face Transformers
    4. LlamaIndex
    5. RankGPT
    6. Elasticsearch

    AI recommended 6 alternatives but never named AnswerDotAI/rerankers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight tool to improve search relevance using state-of-the-art reranking techniques.
    you: not recommended
    AI recommended (in order):
    1. Sentence Transformers (UKPLab/sentence-transformers)
    2. Hugging Face Transformers (huggingface/transformers)
    3. ONNX Runtime (microsoft/onnxruntime)
    4. Faiss (facebookresearch/faiss)
    5. RankLib (microsoft/RankLib)

    AI recommended 5 alternatives but never named AnswerDotAI/rerankers. 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 AnswerDotAI/rerankers?
    pass
    AI named AnswerDotAI/rerankers explicitly

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

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

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

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AnswerDotAI/rerankers — 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