REPOGEO REPORT · LITE

ChiChou/grapefruit

Default branch main · commit a9bdff43 · scanned 5/9/2026, 3:12:15 PM

GitHub: 1,306 stars · 105 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 ChiChou/grapefruit, 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 README H1 and opening paragraph to clarify purpose and audience

Why:

CURRENT

# Grapefruit: Open-source mobile security testing suite
...
Runtime mobile application instrumentation toolkit powered by Frida.
Inspect, hook, and modify mobile apps through a web-based interface.
Now it supports both iOS and Android!

COPY-PASTE FIX

# Grapefruit: Open-source Mobile Security Testing Suite for iOS and Android
Grapefruit is a powerful runtime mobile application instrumentation toolkit designed for security researchers and penetration testers. Powered by Frida, it allows you to inspect, hook, and modify both iOS and Android applications through an intuitive web-based interface.

mediumreadme#2

Add a 'Key Features' section to the README

Why:

COPY-PASTE FIX

## Key Features

- **Runtime Instrumentation:** Dynamically inspect, hook, and modify mobile applications.
- **Web-based Interface:** Intuitive graphical user interface (GUI) for easy interaction.
- **Cross-Platform Support:** Fully supports both iOS and Android applications.
- **Frida-Powered:** Leverages the powerful Frida toolkit for deep analysis.
- **Security Testing Focus:** Built specifically for mobile security research and penetration testing workflows.

lowtopics#3

Expand repository topics

Why:

CURRENT

ios, mobile, mobile-security, security-tools

COPY-PASTE FIX

ios, mobile, mobile-security, security-tools, android, frida, instrumentation, penetration-testing, pentesting, reverse-engineering

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 ChiChou/grapefruit

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Burp Suite

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Burp Suite · recommended 2×
frida/frida · recommended 1×
sensepost/objection · recommended 1×
MobSF/Mobile-Security-Framework-MobSF · recommended 1×
WithSecureLabs/drozer · recommended 1×

CATEGORY QUERY
What open-source tools exist for runtime mobile application security testing on iOS and Android?
you: not recommended
AI recommended (in order):
1. Frida (frida/frida)
2. Objection (sensepost/objection)
3. MobSF (MobSF/Mobile-Security-Framework-MobSF)
4. Drozer (WithSecureLabs/drozer)
5. Burp Suite
6. OWASP ZAP (zaproxy/zaproxy)
7. Radare2 (radareorg/radare2)
8. Cutter (rizinorg/cutter)
AI recommended 8 alternatives but never named ChiChou/grapefruit. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I dynamically analyze and modify mobile apps using a web interface with Frida?
you: not recommended
AI recommended (in order):
1. Frida-Web-Api
2. Flask
3. Django
4. Node.js
5. Express
6. Frida-Tools
7. Objection
8. Fridump
9. Burp Suite
10. Mobile-Security-Framework-MobiSF
11. Frida-Scripts-for-Burp
12. Androguard
13. React
14. Vue.js
15. Angular
AI recommended 15 alternatives but never named ChiChou/grapefruit. 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 ChiChou/grapefruit?
pass
AI named ChiChou/grapefruit explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ChiChou/grapefruit in production, what risks or prerequisites should they evaluate first?
pass
AI named ChiChou/grapefruit 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 ChiChou/grapefruit solve, and who is the primary audience?
pass
AI named ChiChou/grapefruit 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 ChiChou/grapefruit. 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)

[![RepoGEO](https://repogeo.com/badge/ChiChou/grapefruit.svg)](https://repogeo.com/en/r/ChiChou/grapefruit)

HTML

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

Pro

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ChiChou/grapefruit — 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