RRepoGEO

REPOGEO REPORT · LITE

google/generative-ai-docs

Default branch main · commit 866a0781 · scanned 5/21/2026, 6:57:58 PM

GitHub: 2,249 stars · 751 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
27 /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
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/generative-ai-docs, 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
  • hightopics#1
    Add deprecation status to topics

    Why:

    CURRENT
    ai, chatbot, documentation, embeddings, gemini, gemini-api, gemma, llm, machine-learning
    COPY-PASTE FIX
    ai, chatbot, documentation, embeddings, gemini, gemini-api, gemma, llm, machine-learning, deprecated, archived
  • mediumreadme#2
    Reposition the README's first prose sentence to reinforce deprecation and redirection

    Why:

    CURRENT
    These are the source files for some guides and tutorials on the Generative AI developer site, home to the Gemini API and Gemma.
    COPY-PASTE FIX
    This repository contains the *deprecated* source files for guides and tutorials previously hosted on the Generative AI developer site (Gemini API and Gemma). Please refer to the active resources listed above for current documentation.
  • lowhomepage#3
    Update homepage to point to the active Gemini documentation

    Why:

    CURRENT
    https://ai.google.dev
    COPY-PASTE FIX
    https://ai.google.dev/gemini-api/docs

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/generative-ai-docs
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. LangChain · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to get started building applications with generative AI and large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. Hugging Face Transformers
    4. Google Cloud Vertex AI
    5. LlamaIndex
    6. Anthropic API

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

    Show full AI answer
  • CATEGORY QUERY
    Where can I find practical examples and guides for developing with modern AI models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Kaggle
    5. Google AI Blog
    6. Google Developers YouTube Channel
    7. OpenAI Cookbook (openai/openai-cookbook)
    8. DeepLearning.AI

    AI recommended 8 alternatives but never named google/generative-ai-docs. 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 google/generative-ai-docs?
    pass
    AI did not name google/generative-ai-docs — 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/generative-ai-docs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/generative-ai-docs 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/generative-ai-docs solve, and who is the primary audience?
    pass
    AI did not name google/generative-ai-docs — 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?

Embed your GEO score

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google/generative-ai-docs — 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