REPOGEO REPORT · LITE

a-ghorbani/pocketpal-ai

Default branch main · commit 2d0c341e · scanned 5/8/2026, 11:43:24 AM

GitHub: 6,892 stars · 689 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 a-ghorbani/pocketpal-ai, 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

Explicitly state PocketPal AI is an on-device, offline mobile application for SLM chat, clarifying no external APIs are used.

Why:

CURRENT

PocketPal AI is a pocket-sized AI assistant powered by small language models (SLMs) that run directly on your phone. Designed for both iOS and Android, PocketPal AI lets you interact with various SLMs without the need for an internet connection. Your privacy is fully protected as all processing happens entirely on-device — your conversations, prompts, and data never leave your phone or get stored on external servers.

COPY-PASTE FIX

PocketPal AI is a privacy-focused mobile application that brings the power of small language models (SLMs) directly to your phone. Designed for both iOS and Android, this app allows you to chat with various SLMs entirely on-device, without an internet connection or reliance on external APIs like OpenAI. Your privacy is fully protected as all processing happens locally — your conversations, prompts, and data never leave your phone or get stored on external servers.

hightopics#2

Add specific topics to accurately categorize the repository.

Why:

COPY-PASTE FIX

mobile-app, ai-assistant, on-device-ai, offline-ai, small-language-models, slm, ios, android, privacy-focused, local-llm, chat-app

mediumreadme#3

Add a sentence to the README clarifying PocketPal AI is an application, not an ML framework.

Why:

COPY-PASTE FIX

Unlike development frameworks such as TensorFlow Lite or Core ML, PocketPal AI is a complete, user-ready mobile application designed for direct interaction with on-device SLMs.

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 a-ghorbani/pocketpal-ai

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

TensorFlow Lite

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

TensorFlow Lite · recommended 2×
Core ML · recommended 2×
ML Kit (Firebase ML) · recommended 1×
ONNX Runtime Mobile · recommended 1×
PyTorch Mobile · recommended 1×

CATEGORY QUERY
How can I integrate small language models into a mobile app for offline use?
you: not recommended
AI recommended (in order):
1. ML Kit (Firebase ML)
2. TensorFlow Lite
3. Core ML
4. ONNX Runtime Mobile
5. PyTorch Mobile
6. Hugging Face Transformers
7. MediaPipe
AI recommended 7 alternatives but never named a-ghorbani/pocketpal-ai. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable private, on-device AI chat functionality for iOS and Android applications?
you: not recommended
AI recommended (in order):
1. Core ML
2. TensorFlow Lite
3. MLX (apple/mlx)
4. ONNX Runtime (microsoft/onnxruntime)
5. MediaPipe (google/mediapipe)
6. Hugging Face Transformers (huggingface/transformers)
7. Llama.cpp (ggerganov/llama.cpp)
AI recommended 7 alternatives but never named a-ghorbani/pocketpal-ai. 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 a-ghorbani/pocketpal-ai?
pass
AI named a-ghorbani/pocketpal-ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts a-ghorbani/pocketpal-ai in production, what risks or prerequisites should they evaluate first?
pass
AI named a-ghorbani/pocketpal-ai 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 a-ghorbani/pocketpal-ai solve, and who is the primary audience?
pass
AI did not name a-ghorbani/pocketpal-ai — 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

Drop this badge into the README of a-ghorbani/pocketpal-ai. 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/a-ghorbani/pocketpal-ai.svg)](https://repogeo.com/en/r/a-ghorbani/pocketpal-ai)

HTML

<a href="https://repogeo.com/en/r/a-ghorbani/pocketpal-ai"><img src="https://repogeo.com/badge/a-ghorbani/pocketpal-ai.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

a-ghorbani/pocketpal-ai — 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