RRepoGEO

REPOGEO REPORT · LITE

jbarrasa/goingmeta

Default branch main · commit ee0f723e · scanned 6/6/2026, 7:08:10 AM

GitHub: 663 stars · 109 forks

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 jbarrasa/goingmeta, 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 to clarify the repo's purpose

    Why:

    CURRENT
    # GoingMeta

We run the live streams on the **first Tuesday of each month**.
(4pm BST, 11am ET, 8am PT, 3pm CEST, 8:30pm IST) 
Streaming on Twitch and Youtube Live.

We will use this repo to share all resources used in the sessions. Give them a try and give us your feedback!
    COPY-PASTE FIX
    # GoingMeta: Resources for Knowledge Graph & Semantic Data Livestreams

This repository serves as the official resource hub for the **Going Meta** livestream series, providing code, examples, and materials used in our monthly sessions on knowledge graphs, ontologies, semantic data, and graph data science. We run the live streams on the **first Tuesday of each month** (4pm BST, 11am ET, 8am PT, 3pm CEST, 8:30pm IST) streaming on Twitch and Youtube Live. Explore the resources to learn about constructing knowledge graphs, integrating RDF data, and applying semantic technologies.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the content of the MIT License.
  • mediumabout#3
    Update the repository's 'About' description

    Why:

    CURRENT
    code and resources used in the Going Meta sessions
    COPY-PASTE FIX
    Code, examples, and resources from the Going Meta livestream series, focusing on knowledge graphs, ontologies, semantic data, and graph data science.

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 jbarrasa/goingmeta
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GraphDB
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GraphDB · recommended 2×
  2. Stardog · recommended 2×
  3. apache/jena · recommended 1×
  4. protegeproject/protege · recommended 1×
  5. neo4j/neo4j · recommended 1×
  • CATEGORY QUERY
    How to construct a knowledge graph using ontologies and semantic data?
    you: not recommended
    AI recommended (in order):
    1. Apache Jena (apache/jena)
    2. Protégé (protegeproject/protege)
    3. GraphDB
    4. Stardog
    5. Neo4j (neo4j/neo4j)
    6. neosemantics (nS) (neo4j-labs/neosemantics)
    7. RDF4J (eclipse/rdf4j)
    8. TopBraid Composer

    AI recommended 8 alternatives but never named jbarrasa/goingmeta. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for integrating RDF data into a graph database?
    you: not recommended
    AI recommended (in order):
    1. Apache Jena Fuseki
    2. GraphDB
    3. Stardog
    4. Virtuoso Universal Server
    5. Neo4j
    6. Neosemantics (n10s)
    7. Amazon Neptune
    8. Apache NiFi
    9. Python
    10. RDFLib
    11. neo4j-driver
    12. gremlinpython

    AI recommended 12 alternatives but never named jbarrasa/goingmeta. 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 jbarrasa/goingmeta?
    pass
    AI named jbarrasa/goingmeta explicitly

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

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

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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