RRepoGEO

REPOGEO REPORT · LITE

Meesho/BharatMLStack

Default branch develop · commit 37b045dd · scanned 5/31/2026, 12:22:56 PM

GitHub: 692 stars · 77 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 Meesho/BharatMLStack, 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
    Add a prominent, keyword-rich tagline to the README's opening

    Why:

    COPY-PASTE FIX
    **BharatMLStack: An open-source, end-to-end MLOps platform and cloud-agnostic ML infrastructure stack for real-time and batch ML workloads at Bharat scale.**
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project's license is detailed in the [LICENSE file](LICENSE). Please refer to it for the specific terms and conditions governing usage and distribution.

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 Meesho/BharatMLStack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 2×
  2. Seldon Core · recommended 2×
  3. Kubeflow · recommended 1×
  4. Metaflow · recommended 1×
  5. Open MLOps (by Data Reply) · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source MLOps platform to manage real-time and batch ML workloads at scale.
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Kubeflow
    3. Metaflow
    4. Open MLOps (by Data Reply)
    5. ZenML
    6. Pachyderm
    7. Seldon Core

    AI recommended 7 alternatives but never named Meesho/BharatMLStack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best cloud-agnostic ML infrastructure stacks for real-time feature serving and inference?
    you: not recommended
    AI recommended (in order):
    1. Tecton
    2. Kubernetes
    3. KServe
    4. Seldon Core
    5. Feast
    6. MLflow
    7. Cortex.dev
    8. BentoML
    9. Ray Serve

    AI recommended 9 alternatives but never named Meesho/BharatMLStack. 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 Meesho/BharatMLStack?
    pass
    AI named Meesho/BharatMLStack explicitly

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

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

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

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Meesho/BharatMLStack — 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