RRepoGEO

REPOGEO REPORT · LITE

datavane/tis

Default branch master · commit 2ee42ba8 · scanned 5/12/2026, 6:57:35 AM

GitHub: 1,302 stars · 280 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 datavane/tis, 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 English summary to the top of the README

    Why:

    CURRENT
    The README currently starts with '## Stargazers over time'.
    COPY-PASTE FIX
    TIS is an enterprise-grade data integration platform that simplifies DataOps with a web-based UI for both batch (DataX) and stream (Flink-CDC, Chunjun) processing. It features a Pipeline AI Agent for creating data pipelines using natural language, eliminating complex scripting and configuration.
  • mediumtopics#2
    Expand topics to include AI Agent and natural language processing

    Why:

    CURRENT
    cdc, chunjun, dataops, datax, etl, flink, flink-streaming, java
    COPY-PASTE FIX
    cdc, chunjun, dataops, datax, etl, flink, flink-streaming, java, ai-agent, natural-language-processing, data-pipeline, low-code-etl
  • lowreadme#3
    Add a prominent link to the official homepage in the README

    Why:

    COPY-PASTE FIX
    Learn more at our official website: [https://tis.pub](https://tis.pub)

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 datavane/tis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Fivetran
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Fivetran · recommended 2×
  2. Google Cloud Dataflow · recommended 2×
  3. Talend Data Fabric · recommended 1×
  4. Informatica PowerCenter · recommended 1×
  5. Informatica Intelligent Data Management Cloud (IDMC) · recommended 1×
  • CATEGORY QUERY
    How to simplify enterprise data integration with a web-based UI for batch and stream processing?
    you: not recommended
    AI recommended (in order):
    1. Talend Data Fabric
    2. Informatica PowerCenter
    3. Informatica Intelligent Data Management Cloud (IDMC)
    4. Apache NiFi (https://github.com/apache/nifi)
    5. NiFi Registry (https://github.com/apache/nifi-registry)
    6. Striim
    7. Fivetran
    8. Matillion ETL
    9. Google Cloud Dataflow
    10. Apache Beam (https://github.com/apache/beam)
    11. Google Cloud Console

    AI recommended 11 alternatives but never named datavane/tis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to build data pipelines using natural language, avoiding complex scripting.
    you: not recommended
    AI recommended (in order):
    1. Dataiku DSS
    2. Microsoft Power Query
    3. Trifacta Wrangler
    4. KNIME Analytics Platform
    5. Google Cloud Dataflow
    6. Apache Hop
    7. Fivetran

    AI recommended 7 alternatives but never named datavane/tis. 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 datavane/tis?
    pass
    AI did not name datavane/tis — 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 datavane/tis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datavane/tis 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 datavane/tis solve, and who is the primary audience?
    pass
    AI named datavane/tis explicitly

    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 datavane/tis. 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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datavane/tis — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite