REPOGEO REPORT · LITE

tobegit3hub/tensorflow_template_application

Default branch master · commit a2be179b · scanned 5/13/2026, 12:03:54 PM

GitHub: 1,880 stars · 708 forks

AI VISIBILITY SCORE

28 /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

2 / 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 tobegit3hub/tensorflow_template_application, 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 the README's introduction to clarify it's a template application

Why:

CURRENT

It is the generic golden program for deep learning with TensorFlow.

COPY-PASTE FIX

This repository provides a comprehensive, production-ready template application for deep learning with TensorFlow. It's designed as a boilerplate solution to quickly start new projects, offering integrated model serving, multi-platform prediction clients, and MLOps best practices.

mediumtopics#2

Add 'boilerplate' and 'application-template' to repository topics

Why:

CURRENT

cnn, csv, deep-learning, inference, libsvm, lstm, machine-learning, mlp, serving, tensorboard, tensorflow, tfrecords, wide-and-deep

COPY-PASTE FIX

cnn, csv, deep-learning, inference, libsvm, lstm, machine-learning, mlp, serving, tensorboard, tensorflow, tfrecords, wide-and-deep, boilerplate, application-template

mediumhomepage#3
Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://github.com/tobegit3hub/tensorflow_template_application
```

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 tobegit3hub/tensorflow_template_application

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyTorch Lightning

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

PyTorch Lightning · recommended 1×
Keras · recommended 1×
FastAI · recommended 1×
Hugging Face Transformers · recommended 1×
Catalyst · recommended 1×

CATEGORY QUERY
Looking for a boilerplate solution to quickly start deep learning projects with various data inputs.
you: not recommended
AI recommended (in order):
1. PyTorch Lightning
2. Keras
3. FastAI
4. Hugging Face Transformers
5. Catalyst
6. TensorFlow Keras
AI recommended 6 alternatives but never named tobegit3hub/tensorflow_template_application. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a robust framework for deploying trained models and building multi-platform prediction clients.
you: not recommended
AI recommended (in order):
1. TensorFlow Extended (TFX) (tensorflow/tfx)
2. MLflow (mlflow/mlflow)
3. Kubeflow (kubeflow/kubeflow)
4. ONNX Runtime (microsoft/onnxruntime)
5. FastAPI (tiangolo/fastapi)
6. Uvicorn (encode/uvicorn)
7. Gunicorn (benoitc/gunicorn)
8. AWS SageMaker
9. Azure Machine Learning
AI recommended 9 alternatives but never named tobegit3hub/tensorflow_template_application. 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 tobegit3hub/tensorflow_template_application?
pass
AI named tobegit3hub/tensorflow_template_application explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts tobegit3hub/tensorflow_template_application in production, what risks or prerequisites should they evaluate first?
pass
AI named tobegit3hub/tensorflow_template_application 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 tobegit3hub/tensorflow_template_application solve, and who is the primary audience?
pass
AI did not name tobegit3hub/tensorflow_template_application — 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?

Embed your GEO score

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MARKDOWN (README)

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tobegit3hub/tensorflow_template_application — 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