RRepoGEO

REPOGEO REPORT · LITE

AltimateAI/altimate-code

Default branch main · commit e94eb20b · scanned 6/1/2026, 11:56:40 PM

GitHub: 619 stars · 61 forks

AI VISIBILITY SCORE
33 /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
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 AltimateAI/altimate-code, 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 README's opening statement to be more specific

    Why:

    CURRENT
    **The open-source data engineering harness.**
    COPY-PASTE FIX
    **Altimate Code is the open-source agentic data engineering harness for dbt, SQL, and cloud warehouses.**
  • mediumabout#2
    Update repository description to emphasize automation

    Why:

    CURRENT
    Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.
    COPY-PASTE FIX
    Open-source agentic data engineering harness for automating dbt, SQL, and cloud warehouse workflows. 100+ tools, 10 warehouses, AI-powered.
  • lowreadme#3
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
Altimate Code provides an agentic harness for data engineering, offering a unique blend of 100+ deterministic tools for SQL analysis, dbt, lineage, and FinOps across multiple cloud warehouses, unlike general data observability platforms or standalone dbt tools.

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 AltimateAI/altimate-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datafold
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Datafold · recommended 2×
  2. Monte Carlo · recommended 2×
  3. Lightup · recommended 1×
  4. dbt-core · recommended 1×
  5. OpenAI GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I automate SQL analysis and dbt workflows using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Datafold
    2. Monte Carlo
    3. Lightup
    4. dbt-core
    5. OpenAI GPT-4
    6. Anthropic Claude 3
    7. DataCoves
    8. Atlan
    9. MindsDB

    AI recommended 9 alternatives but never named AltimateAI/altimate-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for unified data engineering across multiple cloud warehouses with lineage and FinOps?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Snowflake
    3. Google Cloud Dataflow
    4. Google Cloud Data Catalog
    5. DataPlex
    6. AWS Glue
    7. AWS Lake Formation
    8. AWS DataBrew
    9. Microsoft Azure Synapse Analytics
    10. Azure Purview
    11. Fivetran
    12. dbt
    13. Monte Carlo
    14. Datafold

    AI recommended 14 alternatives but never named AltimateAI/altimate-code. 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 AltimateAI/altimate-code?
    pass
    AI named AltimateAI/altimate-code explicitly

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

  • If a team adopts AltimateAI/altimate-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AltimateAI/altimate-code 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 AltimateAI/altimate-code solve, and who is the primary audience?
    pass
    AI did not name AltimateAI/altimate-code — 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

Drop this badge into the README of AltimateAI/altimate-code. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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AltimateAI/altimate-code — RepoGEO report