REPOGEO REPORT · LITE

CodeWithKyrian/transformers-php

Default branch main · commit ea953402 · scanned 6/9/2026, 10:17:55 AM

GitHub: 757 stars · 49 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 CodeWithKyrian/transformers-php, 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 H1 and opening paragraph to specify its core identity

Why:

CURRENT

<h3 align="center">
    <p>State-of-the-art Machine Learning for PHP</p>
</h3>

TransformersPHP is designed to be functionally equivalent to the Python library...

COPY-PASTE FIX

<h3 align="center">
    <p>Hugging Face Transformers for PHP, powered by ONNX Runtime</p>
</h3>

TransformersPHP brings the power of Hugging Face's state-of-the-art Machine Learning models directly to PHP applications, leveraging ONNX Runtime for high-performance inference.

highabout#2

Clarify the repository description to highlight its unique stack

Why:

CURRENT

Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.

COPY-PASTE FIX

Integrate Hugging Face Transformers models into PHP applications using ONNX Runtime for high-performance machine learning inference.

mediumtopics#3
Add more specific topics to improve categorization
Why:
CURRENT
```
huggingface, ml, php, transformers
```
COPY-PASTE FIX
```
huggingface, ml, php, transformers, onnx, nlp, machine-learning-inference
```

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 CodeWithKyrian/transformers-php

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Natural Language API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Natural Language API · recommended 2×
PHP-ML · recommended 2×
Amazon Comprehend · recommended 1×
Microsoft Azure Cognitive Services (Text Analytics API) · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
How can I integrate modern machine learning models for text processing into a PHP application?
you: not recommended
AI recommended (in order):
1. Google Cloud Natural Language API
2. Amazon Comprehend
3. Microsoft Azure Cognitive Services (Text Analytics API)
4. Hugging Face Transformers
5. OpenAI API
6. spaCy
7. PHP-ML
AI recommended 7 alternatives but never named CodeWithKyrian/transformers-php. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What library provides high-performance natural language processing capabilities for PHP projects?
you: not recommended
AI recommended (in order):
1. PHP-ML
2. PHP-NLP-Tools
3. php-text-processing
4. PHP-Stemmer
5. php-nlp-brain
6. Sastrawi
7. Guzzle
8. Google Cloud Natural Language API
9. IBM Watson Natural Language Understanding
AI recommended 9 alternatives but never named CodeWithKyrian/transformers-php. 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 CodeWithKyrian/transformers-php?
pass
AI did not name CodeWithKyrian/transformers-php — 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 CodeWithKyrian/transformers-php in production, what risks or prerequisites should they evaluate first?
pass
AI named CodeWithKyrian/transformers-php 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 CodeWithKyrian/transformers-php solve, and who is the primary audience?
pass
AI named CodeWithKyrian/transformers-php explicitly
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)

[![RepoGEO](https://repogeo.com/badge/CodeWithKyrian/transformers-php.svg)](https://repogeo.com/en/r/CodeWithKyrian/transformers-php)

HTML

<a href="https://repogeo.com/en/r/CodeWithKyrian/transformers-php"><img src="https://repogeo.com/badge/CodeWithKyrian/transformers-php.svg" alt="RepoGEO" /></a>

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CodeWithKyrian/transformers-php — 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