RRepoGEO

REPOGEO REPORT · LITE

totogo/awesome-knowledge-graph

Default branch master · commit 63253666 · scanned 7/1/2026, 9:13:05 AM

GitHub: 1,854 stars · 171 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
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 totogo/awesome-knowledge-graph, 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 to clarify its nature as a list, not a tool

    Why:

    CURRENT
    > A curated list of Knowledge Graph related learning materials, databases, tools and other resources
    COPY-PASTE FIX
    > A curated list of Knowledge Graph related learning materials, databases, tools and other resources. This repository serves as a comprehensive index, not a software tool or database itself.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the list's content.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, a related blog post, or even the GitHub Pages URL for this repo if applicable) to the 'Homepage' field in the repository settings.

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 totogo/awesome-knowledge-graph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 1×
  2. TypeDB · recommended 1×
  3. Ontotext GraphDB · recommended 1×
  4. Amazon Neptune · recommended 1×
  5. Stardog · recommended 1×
  • CATEGORY QUERY
    What are the best tools and resources for building and managing a knowledge graph?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. TypeDB
    3. Ontotext GraphDB
    4. Amazon Neptune
    5. Stardog
    6. Apache Jena
    7. Google Cloud Knowledge Graph

    AI recommended 7 alternatives but never named totogo/awesome-knowledge-graph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source graph databases or triple stores for semantic data management.
    you: not recommended
    AI recommended (in order):
    1. Apache Jena Fuseki (apache/jena)
    2. GraphDB Free (Ontotext-AD/graphdb-free)
    3. Stardog Community Edition (stardog-union/stardog-community)
    4. Neo4j (neo4j/neo4j)
    5. Blazegraph (blazegraph/database)
    6. Virtuoso Open-Source Edition (openlink/virtuoso-opensource)

    AI recommended 6 alternatives but never named totogo/awesome-knowledge-graph. 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 totogo/awesome-knowledge-graph?
    pass
    AI named totogo/awesome-knowledge-graph explicitly

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

  • If a team adopts totogo/awesome-knowledge-graph in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name totogo/awesome-knowledge-graph — 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?

  • In one sentence, what problem does the repo totogo/awesome-knowledge-graph solve, and who is the primary audience?
    pass
    AI did not name totogo/awesome-knowledge-graph — 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 totogo/awesome-knowledge-graph. 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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totogo/awesome-knowledge-graph — 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