RRepoGEO

REPOGEO REPORT · LITE

baojie/shiji-kb

Default branch main · commit 78d5a698 · scanned 5/18/2026, 1:47:42 AM

GitHub: 1,215 stars · 185 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
17 /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
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 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise About description

    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。
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai, knowledge-graph, chinese-history, shiji, ancient-texts, nlp, digital-humanities, historical-data
  • highlicense#3
    Create a LICENSE file with the stated CC BY-NC-SA 4.0 license

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a file named LICENSE in the root of the repository containing the full text of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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
OpenRefine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenRefine · recommended 2×
  2. Abbyy FineReader Engine · recommended 1×
  3. Tesseract OCR · recommended 1×
  4. OpenCV · recommended 1×
  5. Google Cloud Vision AI · recommended 1×
  • CATEGORY QUERY
    How can I use AI to build a knowledge graph from ancient historical documents?
    you: not recommended
    AI recommended (in order):
    1. Abbyy FineReader Engine
    2. Tesseract OCR
    3. OpenCV
    4. Google Cloud Vision AI
    5. spaCy
    6. Hugging Face Transformers
    7. BERT
    8. RoBERTa
    9. XLNet
    10. Stanford CoreNLP
    11. Wikidata
    12. DBpedia
    13. OpenRefine
    14. OpenIE
    15. OpenIE 5
    16. Neo4j
    17. Amazon Neptune
    18. Azure Cosmos DB (Graph API)
    19. Apache Jena
    20. Virtuoso
    21. Gephi
    22. Neo4j Browser
    23. Bloom
    24. Cytoscape
    25. Python
    26. NLTK

    AI recommended 26 alternatives but never named baojie/shiji-kb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What software helps researchers detect contradictions and trace sources in historical documents?
    you: not recommended
    AI recommended (in order):
    1. Voyant Tools
    2. ATLAS.ti
    3. NVivo
    4. Recollection
    5. OpenRefine
    6. Zotero
    7. Mendeley
    8. Transkribus
    9. Google Sheets
    10. Microsoft Excel

    AI recommended 10 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 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?

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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