RRepoGEO

REPOGEO REPORT · LITE

tjmlabs/ColiVara

Default branch main · commit 20a8bcd5 · scanned 6/21/2026, 8:22:00 PM

GitHub: 1,479 stars · 119 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
35 /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
3 / 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 tjmlabs/ColiVara, 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 opening to explicitly state domain

    Why:

    CURRENT
    # ColiVara 
**State of the Art Retrieval - with a delightful developer experience**
    COPY-PASTE FIX
    # ColiVara: State of the Art Visual Document Retrieval

ColiVara is a powerful platform for document retrieval and search, leveraging visual embeddings to understand and index documents like PDFs, DOCX, and PPTX without relying on traditional OCR or text chunking. It is NOT related to *E. coli* or genomics.
  • hightopics#2
    Add relevant topics for AI categorization

    Why:

    COPY-PASTE FIX
    document-retrieval, visual-embeddings, multimodal-search, pdf-processing, docx-processing, pptx-processing, AI, machine-learning, vector-search, enterprise-search, document-intelligence, information-retrieval
  • mediumreadme#3
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on the applicable license(s).

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 tjmlabs/ColiVara
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Document AI Workbench
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Document AI Workbench · recommended 1×
  2. OpenAI CLIP · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Faiss · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I search documents based on visual embeddings, bypassing OCR and text chunking problems?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI Workbench
    2. OpenAI CLIP
    3. Hugging Face Transformers
    4. Faiss
    5. Pinecone
    6. Weaviate
    7. Milvus
    8. Amazon Rekognition Custom Labels
    9. Microsoft Azure AI Vision

    AI recommended 9 alternatives but never named tjmlabs/ColiVara. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best services for accurate document retrieval from PDFs, DOCX, and PPTX visually?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Document Intelligence
    2. Google Cloud Document AI
    3. Amazon Textract
    4. Adobe PDF Extract API
    5. Tesseract OCR
    6. Nanonets
    7. Rossum
    8. UiPath Document Understanding

    AI recommended 8 alternatives but never named tjmlabs/ColiVara. 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 tjmlabs/ColiVara?
    pass
    AI named tjmlabs/ColiVara explicitly

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

  • If a team adopts tjmlabs/ColiVara in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tjmlabs/ColiVara 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 tjmlabs/ColiVara solve, and who is the primary audience?
    pass
    AI named tjmlabs/ColiVara explicitly

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

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tjmlabs/ColiVara — 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