RRepoGEO

REPOGEO REPORT · LITE

kaarthik108/snowChat

Default branch main · commit d0c2520e · scanned 6/15/2026, 2:13:16 PM

GitHub: 553 stars · 285 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 kaarthik108/snowChat, 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 paragraph to clarify its open-source, conversational AI for Snowflake niche

    Why:

    CURRENT
    snowChat is an intuitive and user-friendly application that allows users to interact with their Snowflake data using natural language queries. Type in your questions or requests, and SnowChat will generate the appropriate SQL query and return the data you need.
    COPY-PASTE FIX
    **snowChat** is an open-source conversational AI application that enables natural language querying for Snowflake data warehouses. It translates user questions into precise SQL, making data access intuitive for business users and analysts without needing complex SQL.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the full text of the MIT License.
  • mediumtopics#3
    Enhance repository topics for better categorization

    Why:

    CURRENT
    agents, chatgpt, langchain, langgraph, llama, snowflake, snowpark, streamlit, supabase
    COPY-PASTE FIX
    agents, chatgpt, langchain, langgraph, llama, snowflake, snowpark, streamlit, supabase, text-to-sql, natural-language-query, data-warehousing, conversational-ai, llm-applications, data-analytics, business-intelligence, open-source

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 kaarthik108/snowChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ThoughtSpot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ThoughtSpot · recommended 1×
  2. DataChat · recommended 1×
  3. Tableau Ask Data · recommended 1×
  4. Tableau CRM · recommended 1×
  5. Microsoft Power BI Q&A · recommended 1×
  • CATEGORY QUERY
    How can I query my data warehouse using natural language with an AI assistant?
    you: not recommended
    AI recommended (in order):
    1. ThoughtSpot
    2. DataChat
    3. Tableau Ask Data
    4. Tableau CRM
    5. Microsoft Power BI Q&A
    6. Looker
    7. Looker Blocks
    8. Atlan
    9. OpenAI GPT-3/GPT-4
    10. Google Gemini

    AI recommended 10 alternatives but never named kaarthik108/snowChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build a conversational AI interface for a cloud data platform?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow CX
    2. Microsoft Azure Bot Service
    3. Azure Language Studio
    4. Amazon Lex
    5. Rasa
    6. IBM Watson Assistant
    7. Cohere
    8. Python's FastAPI
    9. Node.js Express

    AI recommended 9 alternatives but never named kaarthik108/snowChat. 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 kaarthik108/snowChat?
    pass
    AI did not name kaarthik108/snowChat — 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 kaarthik108/snowChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kaarthik108/snowChat 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 kaarthik108/snowChat solve, and who is the primary audience?
    pass
    AI named kaarthik108/snowChat explicitly

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

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