REPOGEO REPORT · LITE

level09/enferno

Default branch master · commit c2ba090a · scanned 6/1/2026, 9:37:30 PM

GitHub: 570 stars · 81 forks

AI VISIBILITY SCORE

40 /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

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 level09/enferno, 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 clear, descriptive opening sentence to the README

Why:

CURRENT

The README currently starts with a slogan and links after the H1.

COPY-PASTE FIX

Add this sentence immediately after the H1: "Enferno is a modern Flask framework featuring a zero-config frontend (Vue 3 + Vuetify 3), production-ready authentication (2FA, passkeys, OAuth), and AI-native development, all without webpack or node_modules."

mediumtopics#2

Add more specific topics for 'boilerplate' and 'fullstack'

Why:

CURRENT

celery, css, docker, flask, hackathon, postgresql, python, redis, saas, saas-boilerplate, sqlalchemy, sqlite, vue, vuetify, webframework

COPY-PASTE FIX

celery, css, docker, flask, hackathon, postgresql, python, redis, saas, saas-boilerplate, sqlalchemy, sqlite, vue, vuetify, webframework, fullstack-framework, web-app-boilerplate

mediumcomparison#3

Add a 'Why Enferno vs. X?' comparison section to the README

Why:

COPY-PASTE FIX

Add a new section to the README, e.g., 'Why Enferno vs. Django/Flask?' or 'Enferno vs. Traditional Frameworks,' explicitly highlighting its zero-config frontend, production-ready auth, and AI-native development as key differentiators. For example: 'While traditional Python frameworks like Django or Flask often require separate frontend build setups, Enferno integrates Vue 3 + Vuetify 3 with zero build steps, includes production-grade authentication out-of-the-box, and is designed for AI-native development.'

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 level09/enferno

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

django/django

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

django/django · recommended 1×
bigskysoftware/htmx · recommended 1×
alpinejs/alpine · recommended 1×
pallets/flask · recommended 1×
pallets/jinja · recommended 1×

CATEGORY QUERY
How to build a web app with Python backend and modern frontend without JavaScript build tools?
you: not recommended
AI recommended (in order):
1. Django (django/django)
2. HTMX (bigskysoftware/htmx)
3. Alpine.js (alpinejs/alpine)
4. Flask (pallets/flask)
5. Jinja2 (pallets/jinja)
6. Pyramid (Pylons/pyramid)
7. Chameleon (malthe/chameleon)
8. FastAPI (tiangolo/fastapi)
9. Starlette (encode/starlette)
10. Pydantic (pydantic/pydantic)
11. Anvil
12. Streamlit (streamlit/streamlit)
AI recommended 12 alternatives but never named level09/enferno. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Python web framework boilerplate with robust authentication and integrated AI development features.
you: not recommended
AI recommended (in order):
1. Django
2. Django REST Framework
3. TensorFlow
4. PyTorch
5. scikit-learn
6. FastAPI
7. Pydantic
8. python-jose
9. Authlib
10. Hugging Face Transformers
11. spaCy
12. Flask
13. Flask-Login
14. Flask-Security-Too
15. XGBoost
16. Streamlit
17. streamlit-authenticator
18. Gradio
19. Hugging Face
AI recommended 19 alternatives but never named level09/enferno. 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 level09/enferno?
pass
AI named level09/enferno explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts level09/enferno in production, what risks or prerequisites should they evaluate first?
pass
AI named level09/enferno 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 level09/enferno solve, and who is the primary audience?
pass
AI named level09/enferno 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 level09/enferno. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/level09/enferno"><img src="https://repogeo.com/badge/level09/enferno.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite