REPOGEO REPORT · LITE

tobegit3hub/tensorflow_template_application

Default branch master · commit a2be179b · scanned 6/23/2026, 11:07:27 PM

GitHub: 1,877 stars · 706 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /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

1 / 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 introduction to clarify it's a project template

Why:

CURRENT

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

COPY-PASTE FIX

This repository provides a comprehensive, full-stack template for deep learning projects using TensorFlow, integrating data formats, model training, and multi-language serving clients.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
[Link to a dedicated project page, documentation, or a blog post explaining its value]
```

mediumtopics#3

Add 'template' and 'boilerplate' to the 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, template, boilerplate

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

keras-team/keras

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

keras-team/keras · recommended 1×
Lightning-AI/lightning · recommended 1×
fastai/fastai · recommended 1×
scikit-learn/scikit-learn · recommended 1×
tensorflow/tensorflow · recommended 1×

CATEGORY QUERY
How to quickly start a deep learning project using common models like CNN and CSV data?
you: not recommended
AI recommended (in order):
1. Keras (keras-team/keras)
2. PyTorch Lightning (Lightning-AI/lightning)
3. Fast.ai (fastai/fastai)
4. Scikit-learn (scikit-learn/scikit-learn)
5. TensorFlow (tensorflow/tensorflow)
6. Google Colaboratory
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 solution for deploying deep learning models with gRPC clients across multiple languages?
you: not recommended
AI recommended (in order):
1. TensorFlow Serving
2. TorchServe
3. KServe
4. NVIDIA Triton Inference Server
5. ONNX Runtime Server
6. FastAPI
AI recommended 6 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 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?
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