RRepoGEO

REPOGEO REPORT · LITE

databricks-solutions/ai-dev-kit

Default branch main · commit 8cb44565 · scanned 5/17/2026, 1:16:34 AM

GitHub: 1,486 stars · 320 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
35 /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
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 databricks-solutions/ai-dev-kit, 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
    Add a concise introductory sentence to the README

    Why:

    CURRENT
    The README's initial content after the H1 is a security notice, followed by 'AI-Assisted Development on Databricks'.
    COPY-PASTE FIX
    Add the sentence 'This toolkit provides patterns, skills, and executable tools for building custom AI coding agents that integrate deeply with the Databricks Lakehouse Platform.' immediately after the H1 or the security notice.
  • hightopics#2
    Expand repository topics with specific keywords

    Why:

    CURRENT
    agents, claude, cursor, databricks, vibecoding
    COPY-PASTE FIX
    agents, claude, cursor, databricks, vibecoding, llm-agents, mlops, data-analytics, lakehouse-platform, ai-development
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README clearly stating the specific license(s) that apply to this repository, as the LICENSE file is not a standard SPDX template.

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 databricks-solutions/ai-dev-kit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot for Business
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot for Business · recommended 1×
  2. Tabnine Enterprise · recommended 1×
  3. Jupyter AI · recommended 1×
  4. Amazon CodeWhisperer · recommended 1×
  5. Google Cloud Code (with Duet AI) · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI coding assistance directly into my data science platform workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. Tabnine Enterprise
    3. Jupyter AI
    4. Amazon CodeWhisperer
    5. Google Cloud Code (with Duet AI)
    6. Pylance
    7. DeepMind AlphaCode 2 (via Google Gemini)

    AI recommended 7 alternatives but never named databricks-solutions/ai-dev-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build custom AI coding agents for large-scale data analytics platforms?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI API
    5. Anthropic Claude
    6. Google Gemini
    7. Ray
    8. Apache Spark
    9. Prefect
    10. Apache Airflow

    AI recommended 10 alternatives but never named databricks-solutions/ai-dev-kit. 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 databricks-solutions/ai-dev-kit?
    pass
    AI named databricks-solutions/ai-dev-kit explicitly

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

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

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

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databricks-solutions/ai-dev-kit — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite