RRepoGEO

REPOGEO REPORT · LITE

sophgo/tpu-mlir

Default branch master · commit 18c49f92 · scanned 6/15/2026, 10:46:16 PM

GitHub: 934 stars · 219 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 sophgo/tpu-mlir, 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
  • highhomepage#1
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://tpumlir.org
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    compiler, llm, mlir, tpu
    COPY-PASTE FIX
    compiler, mlir, tpu, sophgo, hardware-accelerator, edge-ai
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Specify License(s) Here, e.g., a custom license, or a combination of licenses like Apache-2.0 and MIT]. Please refer to the LICENSE file 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
0 / 2
0% of queries surface sophgo/tpu-mlir
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud's AI Platform services
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud's AI Platform services · recommended 1×
  2. TensorFlow Extended (TFX) · recommended 1×
  3. AI Platform Prediction · recommended 1×
  4. TensorFlow Serving · recommended 1×
  5. Google Cloud TPU VM · recommended 1×
  • CATEGORY QUERY
    How to efficiently deploy pre-trained neural networks onto specialized TPU hardware?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud's AI Platform services
    2. TensorFlow Extended (TFX)
    3. AI Platform Prediction
    4. TensorFlow Serving
    5. Google Cloud TPU VM
    6. JAX
    7. PyTorch/XLA
    8. PyTorch
    9. TensorFlow Lite

    AI recommended 9 alternatives but never named sophgo/tpu-mlir. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an MLIR-based compiler to optimize deep learning models for hardware accelerators.
    you: not recommended
    AI recommended (in order):
    1. IREE
    2. TensorFlow Lite Micro
    3. Apache TVM
    4. OpenXLA
    5. LLVM-MLIR
    6. CIRCT

    AI recommended 6 alternatives but never named sophgo/tpu-mlir. 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 sophgo/tpu-mlir?
    pass
    AI named sophgo/tpu-mlir explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of sophgo/tpu-mlir. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/sophgo/tpu-mlir.svg)](https://repogeo.com/en/r/sophgo/tpu-mlir)
HTML
<a href="https://repogeo.com/en/r/sophgo/tpu-mlir"><img src="https://repogeo.com/badge/sophgo/tpu-mlir.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

sophgo/tpu-mlir — 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