RRepoGEO

REPOGEO REPORT · LITE

metarank/metarank

Default branch master · commit c8b50b73 · scanned 5/11/2026, 6:41:49 PM

GitHub: 2,432 stars · 110 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 metarank/metarank, 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 H1 to clarify open-source, end-to-end ML ranking

    Why:

    CURRENT
    <p align="center">Metarank: real time personalization as a service</p>
    COPY-PASTE FIX
    <p align="center">Metarank: The Open-Source Real-Time ML Ranking and Personalization Service</p>
  • mediumtopics#2
    Add more specific topics to reinforce core functionality

    Why:

    CURRENT
    automl, data-engineering, data-science, deep-learning, feature-engineering, feature-extraction, kubernetes, machine-learning, neural-networks, personalization, ranking, scala, search
    COPY-PASTE FIX
    automl, data-engineering, data-science, deep-learning, feature-engineering, feature-extraction, kubernetes, machine-learning, neural-networks, personalization, ranking, scala, search, learning-to-rank, recommendation-engine, real-time-ml, ml-ops
  • lowcomparison#3
    Create a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, under a heading like "## Metarank: How We Compare" or "## Comparison to Alternatives". Start the section with a sentence like: "Metarank stands apart from generic search engines, streaming platforms, feature stores, and proprietary cloud personalization services by offering an open-source, end-to-end, real-time ML ranking and personalization engine."

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 metarank/metarank
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elasticsearch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elasticsearch · recommended 1×
  2. OpenSearch Learning to Rank plugin · recommended 1×
  3. Apache Flink · recommended 1×
  4. Apache Kafka Streams · recommended 1×
  5. Feast · recommended 1×
  • CATEGORY QUERY
    How to implement real-time personalized ranking for search results and product listings?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch
    2. OpenSearch Learning to Rank plugin
    3. Apache Flink
    4. Apache Kafka Streams
    5. Feast
    6. Tecton
    7. TensorFlow Serving
    8. TorchServe
    9. ONNX Runtime
    10. AWS Personalize
    11. Google Cloud Vertex AI
    12. Vertex AI Matching Engine
    13. Vertex AI Feature Store
    14. Vertex AI Workbench
    15. Vertex AI Endpoints
    16. Vespa.ai
    17. Milvus
    18. Pinecone

    AI recommended 18 alternatives but never named metarank/metarank. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a low-code machine learning service to enhance search and recommendation quality.
    you: not recommended
    AI recommended (in order):
    1. Amazon Personalize
    2. Google Cloud Recommendations AI
    3. Azure Personalizer
    4. Databricks Lakehouse Platform
    5. Recombee

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

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

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

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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