RRepoGEO

REPOGEO REPORT · LITE

google-deepmind/ithaca

Default branch main · commit ced13193 · scanned 6/4/2026, 7:52:47 AM

GitHub: 578 stars · 64 forks

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 google-deepmind/ithaca, 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
    Clarify the README's opening paragraph to emphasize its role as an AI tool for historians

    Why:

    CURRENT
    Ancient History relies on disciplines such as Epigraphy, the study of inscribed texts known as "inscriptions", for evidence of the thought, language, society and history of past civilizations. However, over the centuries many inscriptions have been damaged to the point of illegibility, transported far from their original location, and their date of writing is steeped in uncertainty. We present Ithaca, the first Deep Neural Network for the textual restoration, geographical and chronological attribution of ancient Greek inscriptions.
    COPY-PASTE FIX
    Ithaca is the first Deep Neural Network specifically designed as an AI tool to assist historians and epigraphists. It provides textual restoration, geographical, and chronological attribution for ancient Greek inscriptions, addressing the critical challenge of damaged and illegible historical documents. This pioneering system expands the historian’s workflow by applying advanced deep learning to preserve and understand past civilizations.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add the URL to the associated research paper, project page, or a relevant DeepMind research page for Ithaca.

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 google-deepmind/ithaca
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 1×
  2. OpenCV · recommended 1×
  3. Pytorch · recommended 1×
  4. TensorFlow · recommended 1×
  5. LaMa (Large Mask Inpainting) · recommended 1×
  • CATEGORY QUERY
    What AI tools can help restore damaged historical documents and ancient inscriptions?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. OpenCV
    3. Pytorch
    4. TensorFlow
    5. LaMa (Large Mask Inpainting)
    6. DeepFill
    7. ESRGAN
    8. Real-ESRGAN
    9. GIMP (GNU Image Manipulation Program)
    10. ImageJ
    11. Fiji
    12. Transkribus
    13. Google Cloud Vision AI
    14. Amazon Rekognition

    AI recommended 14 alternatives but never named google-deepmind/ithaca. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for deep learning models to attribute and date ancient historical documents.
    you: not recommended
    AI recommended (in order):
    1. YOLO (You Only Look Once)
    2. Mask R-CNN
    3. ResNet (Residual Networks)
    4. Vision Transformers (ViT)
    5. BERT (Bidirectional Encoder Representations from Transformers)
    6. InceptionNet (GoogLeNet)
    7. Siamese Networks

    AI recommended 7 alternatives but never named google-deepmind/ithaca. 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 google-deepmind/ithaca?
    pass
    AI named google-deepmind/ithaca explicitly

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

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

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

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google-deepmind/ithaca — 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