RRepoGEO

REPOGEO REPORT · LITE

callstackincubator/ai

Default branch main · commit 41ffcad3 · scanned 5/17/2026, 9:36:47 AM

GitHub: 1,306 stars · 50 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
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 callstackincubator/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
    Reposition the README's opening to emphasize its high-level SDK nature

    Why:

    CURRENT
    # React Native AI

A collection of on-device AI primitives for React Native with first-class Vercel AI SDK support.
    COPY-PASTE FIX
    # React Native AI SDK

The React Native AI SDK provides a comprehensive, high-level toolkit for on-device LLM execution and AI inference, offering first-class Vercel AI SDK compatibility. It simplifies integrating privacy-first, low-latency AI directly into your mobile apps, abstracting away the complexities of lower-level frameworks.
  • mediumabout#2
    Refine the repository description to highlight its SDK role and benefits

    Why:

    CURRENT
    On-device LLM execution in React Native with Vercel AI SDK compatibility
    COPY-PASTE FIX
    The React Native AI SDK: Simplify on-device LLM execution and AI inference in React Native apps, offering first-class Vercel AI SDK compatibility for privacy-first, low-latency mobile AI.
  • lowtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, llm, on-device-ai, react-native
    COPY-PASTE FIX
    ai, llm, on-device-ai, react-native, vercel-ai-sdk, mobile-ai

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 callstackincubator/ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 2×
  2. TensorFlow Lite · recommended 2×
  3. MLC LLM · recommended 1×
  4. Transformers.js · recommended 1×
  5. ONNX Runtime Web · recommended 1×
  • CATEGORY QUERY
    How to run large language models directly on user devices in a React Native app?
    you: not recommended
    AI recommended (in order):
    1. MLC LLM
    2. Transformers.js
    3. ONNX Runtime Web
    4. Core ML
    5. TensorFlow Lite
    6. llama.cpp
    7. WebAssembly
    8. react-native-webview

    AI recommended 8 alternatives but never named callstackincubator/ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for privacy-first AI inference within a mobile application without server costs?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. Core ML
    3. PyTorch Mobile
    4. MediaPipe
    5. ML Kit
    6. ONNX Runtime Mobile

    AI recommended 6 alternatives but never named callstackincubator/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
    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 callstackincubator/ai?
    pass
    AI did not name callstackincubator/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?

  • If a team adopts callstackincubator/ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named callstackincubator/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 callstackincubator/ai solve, and who is the primary audience?
    pass
    AI named callstackincubator/ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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callstackincubator/ai — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite