RRepoGEO

REPOGEO REPORT · LITE

juanceresa/sift-kg

Default branch main · commit d786991c · scanned 6/21/2026, 4:37:57 AM

GitHub: 500 stars · 44 forks

AI VISIBILITY SCORE
28 /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
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 juanceresa/sift-kg, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to emphasize LLM-powered document-to-KG creation

    Why:

    CURRENT
    # sift-kg

**Turn any collection of documents into a knowledge graph.**
    COPY-PASTE FIX
    # sift-kg: Build LLM-powered Knowledge Graphs from Unstructured Documents

**Turn any collection of documents into a knowledge graph using LLMs.**
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://sift-kg.com (or your project's primary website/documentation URL)

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 juanceresa/sift-kg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GraphDB Workbench
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GraphDB Workbench · recommended 1×
  2. Ontotext Platform · recommended 1×
  3. Neo4j AuraDS · recommended 1×
  4. Neo4j Bloom · recommended 1×
  5. explosion/spaCy · recommended 1×
  • CATEGORY QUERY
    How to quickly transform unstructured documents into a browsable knowledge graph for analysis?
    you: not recommended
    AI recommended (in order):
    1. GraphDB Workbench
    2. Ontotext Platform
    3. Neo4j AuraDS
    4. Neo4j Bloom
    5. spaCy (explosion/spaCy)
    6. NLTK (nltk/nltk)
    7. Google Cloud Natural Language API
    8. AWS Comprehend
    9. Stardog
    10. Stardog Studio
    11. Google Cloud Knowledge Graph
    12. BigQuery
    13. Looker Studio
    14. Amazon Neptune
    15. Apache TinkerPop Gremlin (apache/tinkerpop)
    16. SPARQL
    17. NetworkX (networkx/networkx)
    18. Streamlit (streamlit/streamlit)

    AI recommended 18 alternatives but never named juanceresa/sift-kg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple CLI tools for extracting structured knowledge from document collections?
    you: not recommended
    AI recommended (in order):
    1. jq
    2. grep
    3. awk
    4. sed
    5. textract
    6. pdfminer.six
    7. Pandoc
    8. spaCy
    9. tika-python
    10. Apache Tika server

    AI recommended 10 alternatives but never named juanceresa/sift-kg. 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 juanceresa/sift-kg?
    pass
    AI named juanceresa/sift-kg explicitly

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

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

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  • Brand-free category queries5 vs 2 in Lite
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