RRepoGEO

REPOGEO REPORT · LITE

EvanBacon/expo-ai

Default branch main · commit 0c040019 · scanned 6/13/2026, 11:13:03 PM

GitHub: 854 stars · 125 forks

AI VISIBILITY SCORE
35 /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
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 EvanBacon/expo-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 H1 to specify the project's core purpose and technology stack

    Why:

    CURRENT
    # Expo AI
    COPY-PASTE FIX
    # Expo AI: Universal AI Chat App with React Server Components in Expo Router
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    expo, react-native, react-server-components, ai, chat-app, llm, universal-app, mobile-app, react-conf
  • mediumlicense#3
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clearly define usage terms.

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 EvanBacon/expo-ai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Electron
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Electron · recommended 2×
  2. React Native · recommended 1×
  3. React Native for Windows/macOS · recommended 1×
  4. Flutter · recommended 1×
  5. Xamarin.Forms · recommended 1×
  • CATEGORY QUERY
    How to create a multi-platform AI chat application with native user interfaces?
    you: not recommended
    AI recommended (in order):
    1. React Native
    2. Electron
    3. React Native for Windows/macOS
    4. Flutter
    5. Xamarin.Forms
    6. .NET MAUI
    7. Qt
    8. Electron
    9. SwiftUI
    10. Jetpack Compose

    AI recommended 10 alternatives but never named EvanBacon/expo-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Exploring frameworks for universal React server components in AI-driven mobile applications.
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. Remix
    3. Expo
    4. Node.js
    5. Astro
    6. Gatsby

    AI recommended 6 alternatives but never named EvanBacon/expo-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 EvanBacon/expo-ai?
    pass
    AI named EvanBacon/expo-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 EvanBacon/expo-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EvanBacon/expo-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 EvanBacon/expo-ai solve, and who is the primary audience?
    pass
    AI named EvanBacon/expo-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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite