RRepoGEO

REPOGEO REPORT · LITE

liangdabiao/ecom-details-image

Default branch main · commit 1ec867b7 · scanned 6/27/2026, 10:42:22 PM

GitHub: 509 stars · 103 forks

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 liangdabiao/ecom-details-image, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License (or another appropriate open-source license).
  • mediumreadme#2
    Reposition the README's opening to emphasize its 'skill/tool' nature

    Why:

    CURRENT
    # ECommerce Details Image Generator

一个面向 claude code / Codex / OpenClaw 的跨境电商和国内电商通用视觉创作 Skill。GPT-Image-2 上线以来，电商圈已经被刷屏了。图像生成的边界，如今又被推了一大步。下面是我精选的 25个高质量案例...
    COPY-PASTE FIX
    # ECommerce AI Visual Creation Skill for GPT-Image-2 & Claude Code

这是一个面向 Claude Code / Codex / OpenClaw 的跨境电商和国内电商通用视觉创作 Skill，旨在帮助用户利用 GPT-Image-2 API 自动生成高质量的电商图片和营销素材。我们精选了 25 个高质量案例...

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 liangdabiao/ecom-details-image
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Firefly
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Firefly · recommended 2×
  2. Midjourney · recommended 2×
  3. DALL-E 3 · recommended 2×
  4. Mokker.ai · recommended 1×
  5. Glorify · recommended 1×
  • CATEGORY QUERY
    How to automatically generate a full suite of consistent e-commerce marketing images?
    you: not recommended
    AI recommended (in order):
    1. Mokker.ai
    2. Glorify
    3. Placeit by Envato
    4. Canva
    5. Adobe Firefly
    6. Midjourney
    7. DALL-E 3
    8. Flair.ai

    AI recommended 8 alternatives but never named liangdabiao/ecom-details-image. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools can create detailed e-commerce product images and social media visuals?
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. DALL-E 3
    3. Adobe Firefly
    4. Stable Diffusion
    5. Leonardo.Ai
    6. RunwayML
    7. Canva's Magic Media
    8. Magnific AI

    AI recommended 8 alternatives but never named liangdabiao/ecom-details-image. 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 liangdabiao/ecom-details-image?
    pass
    AI did not name liangdabiao/ecom-details-image — 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 liangdabiao/ecom-details-image in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liangdabiao/ecom-details-image 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 liangdabiao/ecom-details-image solve, and who is the primary audience?
    pass
    AI did not name liangdabiao/ecom-details-image — 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

Drop this badge into the README of liangdabiao/ecom-details-image. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
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HTML
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liangdabiao/ecom-details-image — 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