RRepoGEO

REPOGEO REPORT · LITE

baojie/shiji-kb

Default branch main · commit 79c272f3 · scanned 6/29/2026, 7:23:09 AM

GitHub: 2,162 stars · 341 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 baojie/shiji-kb, 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
  • highabout#1
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    用AI将《史记》57万字转化为可交互、可探索的知识图谱，让两千年前的文字像代码一样可以语法高亮、跳转、搜索、推理。
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://baojie.github.io/shiji-kb

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 baojie/shiji-kb
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j Bloom
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j Bloom · recommended 2×
  2. Ontotext GraphDB · recommended 1×
  3. spaCy · recommended 1×
  4. Stanza · recommended 1×
  5. Neo4j · recommended 1×
  • CATEGORY QUERY
    AI tools to transform large historical texts into interactive, explorable knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. Ontotext GraphDB
    2. spaCy
    3. Stanza
    4. Neo4j
    5. Hugging Face Transformers
    6. Neo4j Bloom
    7. Graphileon
    8. Stardog
    9. Google Cloud Natural Language API
    10. BigQuery
    11. Dataproc
    12. Looker Studio
    13. Amazon Neptune
    14. AWS Comprehend
    15. AWS Lambda
    16. Apache Jena
    17. Blazegraph
    18. Gephi
    19. Cytoscape

    AI recommended 19 alternatives but never named baojie/shiji-kb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Platforms for analyzing ancient documents, visualizing historical events, and tracing entity relationships?
    you: not recommended
    AI recommended (in order):
    1. Gephi (gephi/gephi)
    2. Palladio (hdlab/palladio)
    3. Voyant Tools (voyanttools/VoyantTools)
    4. Cytoscape (cytoscape/cytoscape)
    5. Neo4j (neo4j/neo4j)
    6. Neo4j Bloom
    7. TimelineJS (NUKnightLab/TimelineJS3)
    8. QGIS (qgis/QGIS)

    AI recommended 8 alternatives but never named baojie/shiji-kb. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 baojie/shiji-kb?
    pass
    AI did not name baojie/shiji-kb — 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 baojie/shiji-kb in production, what risks or prerequisites should they evaluate first?
    pass
    AI named baojie/shiji-kb 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 baojie/shiji-kb solve, and who is the primary audience?
    pass
    AI named baojie/shiji-kb explicitly

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

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baojie/shiji-kb — 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