RRepoGEO

REPOGEO REPORT · LITE

cohere-ai/notebooks

Default branch main · commit 62cfb71b · scanned 6/9/2026, 7:12:39 AM

GitHub: 506 stars · 139 forks

AI VISIBILITY SCORE
18 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 1 warn · 1 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 cohere-ai/notebooks, 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
    Replace README redirect with actual content

    Why:

    CURRENT
    This file has been moved to https://github.com/cohere-ai/cohere-developer-experience/blob/main/notebooks/README.md.
    COPY-PASTE FIX
    This repository provides a collection of Jupyter notebooks and code examples designed to help developers and data scientists quickly get started with the Cohere Platform. Explore practical applications of Cohere's Command, Embed, and Rerank models, learn how to integrate Cohere APIs into your projects, and experiment with various natural language processing tasks.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.

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 cohere-ai/notebooks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 2×
  2. explosion/spaCy · recommended 1×
  3. nltk/nltk · recommended 1×
  4. Google Cloud Natural Language API · recommended 1×
  5. Amazon Comprehend · recommended 1×
  • CATEGORY QUERY
    Seeking Python examples for natural language processing tasks using AI platforms.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. spaCy (explosion/spaCy)
    3. NLTK (Natural Language Toolkit) (nltk/nltk)
    4. Google Cloud Natural Language API
    5. Amazon Comprehend
    6. Microsoft Azure Cognitive Services for Language

    AI recommended 6 alternatives but never named cohere-ai/notebooks. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find sample code for integrating generative AI services?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Generative AI (GoogleCloudPlatform/generative-ai-docs)
    2. OpenAI Cookbook (openai/openai-cookbook)
    3. Hugging Face Transformers (huggingface/transformers)
    4. LangChain (langchain-ai/langchain)
    5. Anthropic API
    6. Microsoft Azure AI
    7. AWS Generative AI (aws-samples/amazon-bedrock-samples)

    AI recommended 7 alternatives but never named cohere-ai/notebooks. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    warn

    Suggestion:

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 cohere-ai/notebooks?
    pass
    AI did not name cohere-ai/notebooks — 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 cohere-ai/notebooks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cohere-ai/notebooks 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 cohere-ai/notebooks solve, and who is the primary audience?
    pass
    AI named cohere-ai/notebooks 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
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