RRepoGEO

REPOGEO REPORT · LITE

semantalytics/awesome-semantic-web

Default branch master · commit e9894061 · scanned 5/27/2026, 9:58:29 PM

GitHub: 1,645 stars · 268 forks

AI VISIBILITY SCORE
22 /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
1 / 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 semantalytics/awesome-semantic-web, 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
    Refine README's opening description to highlight utility for finding tools

    Why:

    CURRENT
    A curated list of various semantic web and linked data resources.
    COPY-PASTE FIX
    A comprehensive, curated list of essential semantic web and linked data resources, tools, and best practices for developers, researchers, and enthusiasts.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/semantalytics/awesome-semantic-web
  • lowtopics#3
    Expand GitHub topics with key categories from the README

    Why:

    CURRENT
    awesome, awesome-list, owl, r2rml, rdf, semantic-web, sparql
    COPY-PASTE FIX
    awesome, awesome-list, owl, r2rml, rdf, semantic-web, sparql, knowledge-graph, linked-data, ontologies, reasoners, graphql, databases, web-annotations

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 semantalytics/awesome-semantic-web
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stardog
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stardog · recommended 2×
  2. Schema.org · recommended 1×
  3. FOAF (Friend of a Friend) · recommended 1×
  4. DBpedia Ontology · recommended 1×
  5. GoodRelations · recommended 1×
  • CATEGORY QUERY
    I need a comprehensive list of resources for building semantic web applications.
    you: not recommended
    AI recommended (in order):
    1. Schema.org
    2. FOAF (Friend of a Friend)
    3. DBpedia Ontology
    4. GoodRelations
    5. PROV-O (PROV Ontology)
    6. SKOS (Simple Knowledge Organization System)
    7. Apache Jena Fuseki
    8. Stardog
    9. GraphDB (Ontotext)
    10. Virtuoso Universal Server (OpenLink Software)
    11. Neo4j (with Neosemantics plugin)
    12. Apache Jena (Java)
    13. RDFLib (Python)
    14. dotNetRDF (.NET/C#)
    15. rdflib.js (JavaScript)
    16. TopQuadrant Composer (Java-based IDE)
    17. Pellet (Java)
    18. HermiT (Java)
    19. FaCT++ (C++)
    20. Karma (Open-source)
    21. Ontop (Java)
    22. Protégé (Java-based IDE)
    23. Gephi (Java-based)
    24. WebVOWL (JavaScript)

    AI recommended 24 alternatives but never named semantalytics/awesome-semantic-web. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best practices and tools for implementing linked data solutions?
    you: not recommended
    AI recommended (in order):
    1. Apache Jena (apache/jena)
    2. GraphDB
    3. Stardog
    4. Virtuoso Universal Server (openlink/virtuoso-opensource)
    5. RDF4J (eclipse/rdf4j)
    6. TopBraid Composer
    7. Protégé (protegeproject/protege)

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

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semantalytics/awesome-semantic-web — 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