RRepoGEO

REPOGEO REPORT · LITE

google-gemini/deprecated-generative-ai-python

Default branch main · commit 7a7cc547 · scanned 5/28/2026, 9:41:57 PM

GitHub: 2,307 stars · 508 forks

AI VISIBILITY SCORE
22 /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
1 / 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 google-gemini/deprecated-generative-ai-python, 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
  • mediumabout#1
    Clarify the 'About' description to include its former role

    Why:

    CURRENT
    This SDK is now deprecated, use the new unified Google GenAI SDK.
    COPY-PASTE FIX
    This repository formerly provided the Google AI Python SDK for the Gemini API. It is now deprecated; please use the new unified Google GenAI SDK.
  • lowreadme#2
    Explicitly state the repository's former role in the README's opening sentence

    Why:

    CURRENT
    With Gemini 2.0, we took the chance to create a single unified SDK for all developers who want to use Google's GenAI models (Gemini, Veo, Imagen, etc).
    COPY-PASTE FIX
    This repository formerly provided the Google AI Python SDK for the Gemini API. With Gemini 2.0, we took the chance to create a single unified SDK for all developers who want to use Google's GenAI models (Gemini, Veo, Imagen, etc).

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 google-gemini/deprecated-generative-ai-python
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. Google Cloud Vertex AI / Gemini API · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. PyTorch / TensorFlow · recommended 1×
  • CATEGORY QUERY
    How can I integrate generative AI models into my Python application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. Google Cloud Vertex AI / Gemini API
    4. LangChain (langchain-ai/langchain)
    5. PyTorch / TensorFlow
    6. Replicate

    AI recommended 6 alternatives but never named google-gemini/deprecated-generative-ai-python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python SDKs are available for building applications with large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python Library
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. Google Cloud Generative AI SDK for Python
    6. Anthropic Python SDK
    7. Cohere Python SDK

    AI recommended 7 alternatives but never named google-gemini/deprecated-generative-ai-python. 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 google-gemini/deprecated-generative-ai-python?
    pass
    AI did not name google-gemini/deprecated-generative-ai-python — 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 google-gemini/deprecated-generative-ai-python in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-gemini/deprecated-generative-ai-python 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 google-gemini/deprecated-generative-ai-python solve, and who is the primary audience?
    pass
    AI did not name google-gemini/deprecated-generative-ai-python — 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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  • Brand-free category queries5 vs 2 in Lite
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