RRepoGEO

REPOGEO REPORT · LITE

IDEA-Research/DINO-X-API

Default branch main · commit 813c6294 · scanned 5/26/2026, 11:17:27 PM

GitHub: 1,378 stars · 61 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 IDEA-Research/DINO-X-API, 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 the README's core identity to reflect the API

    Why:

    CURRENT
    The project provides **examples** for using **DINO-X**, which is hosted on DeepDataSpace.
    COPY-PASTE FIX
    This repository provides the official API for **DINO-X**, the world's top-performing vision model for open-world object detection and understanding. It offers a unified interface to leverage DINO-X's capabilities, hosted on DeepDataSpace.
  • mediumreadme#2
    Emphasize DINO-X's state-of-the-art performance and differentiators in the README's introduction

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the initial positioning: "Beyond Grounding DINO 1.5, DINO-X achieves new state-of-the-art results on zero-shot transfer detection benchmarks, demonstrating significantly enhanced capacity for recognizing long-tailed objects and supporting diverse input prompts and multi-level output semantic representations."
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled '## Comparison with Alternatives' or '## DINO-X vs. Other Models' that briefly outlines how DINO-X improves upon or differs from models like Grounding DINO, CLIP, DINOv2, and OWL-ViT, especially regarding open-world object detection and understanding.

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 IDEA-Research/DINO-X-API
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 2×
  2. DINOv2 · recommended 2×
  3. OWL-ViT · recommended 2×
  4. Grounding DINO · recommended 2×
  5. DINO · recommended 1×
  • CATEGORY QUERY
    Seeking a robust vision model for identifying novel objects in diverse, unseen environments.
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. DINO
    3. DINOv2
    4. OWL-ViT
    5. Grounding DINO
    6. Segment Anything Model (SAM)
    7. YOLO-World

    AI recommended 7 alternatives but never named IDEA-Research/DINO-X-API. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a state-of-the-art solution for zero-shot object detection and segmentation tasks.
    you: not recommended
    AI recommended (in order):
    1. Meta's Segment Anything Model (SAM)
    2. CLIP
    3. OWL-ViT
    4. Grounding DINO
    5. DINOv2

    AI recommended 5 alternatives but never named IDEA-Research/DINO-X-API. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 IDEA-Research/DINO-X-API?
    pass
    AI did not name IDEA-Research/DINO-X-API — 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 IDEA-Research/DINO-X-API in production, what risks or prerequisites should they evaluate first?
    pass
    AI named IDEA-Research/DINO-X-API 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 IDEA-Research/DINO-X-API solve, and who is the primary audience?
    pass
    AI did not name IDEA-Research/DINO-X-API — 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?

Embed your GEO score

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IDEA-Research/DINO-X-API — 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