RRepoGEO

REPOGEO REPORT · LITE

kuafuai/aipexbase

Default branch main · commit a9a8e3de · scanned 5/9/2026, 2:27:42 AM

GitHub: 1,264 stars · 212 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 kuafuai/aipexbase, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the README's opening statement to emphasize 'no backend code for AI apps'

    Why:

    CURRENT
    # AIPEXBASE

<p align="center">
  <strong>Backend-as-a-Service Infrastructure for the AI Era</strong>
</p>
<p align="center">
  <em>Enabling developers to build AI applications without worrying about backend API development</em>
</p>
    COPY-PASTE FIX
    # AIPEXBASE: Backend-as-a-Service for AI Apps (No Backend Code Required)

<p align="center">
  <em>Empowering developers to build AI applications rapidly by eliminating backend API development.</em>
</p>
  • mediumlicense#2
    Add a clear statement about the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

AipexBase is licensed under [**Please specify the exact license(s) here, e.g., "a custom license combining Apache 2.0 and MIT terms" or "Apache License 2.0 as detailed in the LICENSE file"**]. Refer to the LICENSE file for complete details.

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 kuafuai/aipexbase
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vercel
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Vercel · recommended 2×
  2. OpenAI · recommended 2×
  3. Azure Cognitive Services · recommended 2×
  4. Azure Static Web Apps · recommended 2×
  5. Azure Functions · recommended 2×
  • CATEGORY QUERY
    How can I build AI applications quickly without writing any backend code?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. Google Cloud Functions
    3. Cloud Run
    4. Hugging Face Spaces
    5. Gradio
    6. Streamlit
    7. Vercel
    8. Next.js
    9. Vercel AI SDK
    10. OpenAI
    11. Anthropic
    12. OpenAI API
    13. GPT-4
    14. React
    15. Vue
    16. Svelte
    17. Netlify
    18. Microsoft Azure AI Services
    19. Azure Cognitive Services
    20. Azure Static Web Apps
    21. Azure Functions
    22. AWS Amplify
    23. AWS Lambda
    24. Amazon SageMaker
    25. Amazon Rekognition
    26. Amazon Comprehend

    AI recommended 26 alternatives but never named kuafuai/aipexbase. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What backend-as-a-service options exist for rapidly developing AI-powered frontend applications?
    you: not recommended
    AI recommended (in order):
    1. Firebase
    2. Vertex AI
    3. Cloud Vision API
    4. Natural Language API
    5. Supabase (supabase/supabase)
    6. AWS Amplify
    7. AWS AppSync
    8. Amazon API Gateway
    9. AWS Lambda
    10. Amazon S3
    11. Amazon Rekognition
    12. Amazon Comprehend
    13. Amazon SageMaker
    14. Amazon Polly
    15. Microsoft Azure Mobile Apps
    16. Azure Static Web Apps
    17. Azure Functions
    18. Azure Cosmos DB
    19. Azure Cognitive Services
    20. Azure Machine Learning
    21. Vercel
    22. Next.js (vercel/next.js)
    23. Nuxt.js (nuxt/nuxt)
    24. PlanetScale
    25. Neon
    26. MongoDB Atlas
    27. OpenAI
    28. Cohere
    29. Hugging Face
    30. Nhost (nhost/nhost)

    AI recommended 30 alternatives but never named kuafuai/aipexbase. 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 kuafuai/aipexbase?
    pass
    AI named kuafuai/aipexbase explicitly

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

  • If a team adopts kuafuai/aipexbase in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kuafuai/aipexbase 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 kuafuai/aipexbase solve, and who is the primary audience?
    pass
    AI named kuafuai/aipexbase 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 kuafuai/aipexbase. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/kuafuai/aipexbase.svg)](https://repogeo.com/en/r/kuafuai/aipexbase)
HTML
<a href="https://repogeo.com/en/r/kuafuai/aipexbase"><img src="https://repogeo.com/badge/kuafuai/aipexbase.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

kuafuai/aipexbase — 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
kuafuai/aipexbase — RepoGEO report