RRepoGEO

REPOGEO REPORT · LITE

genkit-ai/genkit

Default branch main · commit 0defbfc6 · scanned 5/19/2026, 1:51:47 PM

GitHub: 5,984 stars · 739 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
40 /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
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 genkit-ai/genkit, 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 the README's opening sentence to explicitly state its category and competitive landscape

    Why:

    CURRENT
    Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase.
    COPY-PASTE FIX
    Genkit is an open-source, full-stack framework for building production-ready AI-powered applications, offering a comprehensive alternative to tools like LangChain or LlamaIndex with a focus on end-to-end development, built and used in production by Google's Firebase.
  • mediumtopics#2
    Add more specific topics that align with the 'framework' and 'orchestration' aspects

    Why:

    CURRENT
    agents, ai, embedders, genkit, llm, multimodal, rag, vector-database
    COPY-PASTE FIX
    agents, ai, embedders, genkit, llm, multimodal, rag, vector-database, ai-framework, llm-orchestration, full-stack-ai, agent-framework
  • mediumreadme#3
    Add an explicit differentiator statement early in the README

    Why:

    COPY-PASTE FIX
    Unlike other frameworks, Genkit emphasizes an opinionated, local-first development workflow with integrated tools for the entire AI application lifecycle, from local iteration and testing to production deployment and observability.

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 genkit-ai/genkit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain.js · recommended 1×
  2. LlamaIndex.TS · recommended 1×
  3. Agent Protocol · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Autogen.js · recommended 1×
  • CATEGORY QUERY
    What framework helps build AI applications with agentic workflows using JavaScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. Agent Protocol
    4. OpenAI Assistants API
    5. Autogen.js

    AI recommended 5 alternatives but never named genkit-ai/genkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate multiple AI models and implement RAG for production applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. faiss-cpu
    6. chromadb
    7. pinecone
    8. Hugging Face Transformers
    9. Weaviate
    10. Milvus
    11. Qdrant
    12. Kubernetes

    AI recommended 12 alternatives but never named genkit-ai/genkit. 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 genkit-ai/genkit?
    pass
    AI named genkit-ai/genkit explicitly

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

  • If a team adopts genkit-ai/genkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named genkit-ai/genkit 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 genkit-ai/genkit solve, and who is the primary audience?
    pass
    AI named genkit-ai/genkit 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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