RRepoGEO

REPOGEO REPORT · LITE

Nativu5/Gemini-FastAPI

Default branch main · commit 02525e84 · scanned 5/31/2026, 4:08:24 PM

GitHub: 662 stars · 111 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 Nativu5/Gemini-FastAPI, 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 opening to highlight self-hosted, free access

    Why:

    CURRENT
    Web-based Gemini models wrapped into an OpenAI-compatible API. Powered by HanaokaYuzu/Gemini-API.
    COPY-PASTE FIX
    Nativu5/Gemini-FastAPI provides a self-hosted, OpenAI-compatible API proxy for web-based Gemini models, enabling free access without an API key. Powered by HanaokaYuzu/Gemini-API.
  • mediumhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Nativu5/Gemini-FastAPI
  • lowtopics#3
    Add more specific topics for better categorization

    Why:

    CURRENT
    fastapi, gemini, openai-api
    COPY-PASTE FIX
    fastapi, gemini, openai-api, llm-proxy, self-hosted

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 Nativu5/Gemini-FastAPI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 1×
  2. OpenRouter.ai · recommended 1×
  3. Hugging Face Inference Endpoints · recommended 1×
  4. LocalAI · recommended 1×
  5. FastChat · recommended 1×
  • CATEGORY QUERY
    How to access web-based Gemini models through an OpenAI-compatible API without an API key?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter.ai
    3. Hugging Face Inference Endpoints
    4. LocalAI
    5. FastChat

    AI recommended 5 alternatives but never named Nativu5/Gemini-FastAPI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-hosted API for Gemini models offering multi-modal input and web search.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. FastAPI (tiangolo/fastapi)
    3. Flask (pallets/flask)
    4. SerpAPI
    5. GoogleSearchAPIWrapper
    6. LlamaIndex (run-llama/llama_index)
    7. Open-WebUI (open-webui/open-webui)
    8. LiteLLM Proxy Server (BerriAI/litellm)
    9. Google Generative AI SDK (google-gemini/generative-ai-python)
    10. Express.js (expressjs/express)
    11. Google Custom Search API
    12. Brave Search API
    13. Bing Search API
    14. LLaVA (haotian-liu/LLaVA)
    15. Fuyu-8B (adept-ai/fuyu-8b)

    AI recommended 15 alternatives but never named Nativu5/Gemini-FastAPI. 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 Nativu5/Gemini-FastAPI?
    pass
    AI named Nativu5/Gemini-FastAPI explicitly

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

  • If a team adopts Nativu5/Gemini-FastAPI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Nativu5/Gemini-FastAPI 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 Nativu5/Gemini-FastAPI solve, and who is the primary audience?
    pass
    AI did not name Nativu5/Gemini-FastAPI — 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?

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite