RRepoGEO

REPOGEO REPORT · LITE

SeldonIO/seldon-core

Default branch v2 · commit 402619eb · scanned 5/27/2026, 1:01:59 AM

GitHub: 4,752 stars · 864 forks

AI VISIBILITY SCORE
39 /100
Critical
Category recall
1 / 2
Avg rank #6.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 SeldonIO/seldon-core, 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
    Emphasize 'monitoring' and 'thousands of models' in the README's 'About' section

    Why:

    CURRENT
    Seldon Core 2 is an MLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes - from singular models, to modular and data-centric applications.
    COPY-PASTE FIX
    Seldon Core 2 is an MLOps and LLMOps framework for deploying, monitoring, managing, and scaling thousands of AI systems in Kubernetes - from singular models, to modular and data-centric applications.
  • mediumtopics#2
    Add more specific topics related to production scale, monitoring, and LLM operations

    Why:

    CURRENT
    aiops, deployment, kubernetes, machine-learning, machine-learning-operations, mlops, production-machine-learning, serving
    COPY-PASTE FIX
    aiops, deployment, kubernetes, machine-learning, machine-learning-operations, mlops, production-machine-learning, serving, model-monitoring, production-scale, llm-ops
  • mediumlicense#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## ⚖️ License 
 Seldon Core is licensed under [specify license name(s) here]. Please refer to the [LICENSE file](LICENSE) for full details.

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 SeldonIO/seldon-core
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
kubeflow/kubeflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubeflow/kubeflow · recommended 1×
  2. mlflow/mlflow · recommended 1×
  3. argoproj/argo-workflows · recommended 1×
  4. kserve/kserve · recommended 1×
  5. OpenShift AI · recommended 1×
  • CATEGORY QUERY
    What MLOps framework helps deploy and manage AI systems, including LLMs, on Kubernetes clusters?
    you: #6
    AI recommended (in order):
    1. Kubeflow (kubeflow/kubeflow)
    2. MLflow (mlflow/mlflow)
    3. Argo Workflows (argoproj/argo-workflows)
    4. KServe (kserve/kserve)
    5. OpenShift AI
    6. Seldon Core (SeldonIO/seldon-core) ← you
    Show full AI answer
  • CATEGORY QUERY
    How to efficiently deploy, monitor, and scale thousands of machine learning models in production?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Amazon SageMaker
    3. Google Cloud Vertex AI
    4. Azure Machine Learning
    5. Kubeflow
    6. MLflow

    AI recommended 6 alternatives but never named SeldonIO/seldon-core. 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 SeldonIO/seldon-core?
    pass
    AI did not name SeldonIO/seldon-core — 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?

  • If a team adopts SeldonIO/seldon-core in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name SeldonIO/seldon-core — 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 SeldonIO/seldon-core solve, and who is the primary audience?
    pass
    AI did not name SeldonIO/seldon-core — 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?

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  • Brand-free category queries5 vs 2 in Lite
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