How to use Eyingbao? Many users overlook a critical point when using Eyingbao AI's image generation feature: the default ownership agreement for generated product images. This not only relates to the compliance of Eyingbao's e-commerce independent site construction but also impacts legal risk control in foreign trade site development. As a supplier of Eyingbao AI marketing platforms, we provide an in-depth analysis of this hidden clause.
In the context of rapid foreign trade independent site setup, the AI image generation feature is often assumed to be a "use-as-you-go" tool—upload SKUs, input keywords, and generate main images/scene images/multi-angle images with the entire process typically taking 3-5 minutes. 92% of users do not carefully read Article 4.2 of the "Eyingbao AI Image Service Agreement": images automatically generated by the system based on prompts (Prompt) are by default owned by Eyingbao Information Technology (Beijing) Co., Ltd., with users granted non-exclusive, non-transferable, and non-sublicensable global usage rights.
This clause is not an exception but follows the "Interim Measures for the Management of Generative Artificial Intelligence Services" Article 12 and WIPO's general practice framework on AIGC ownership. For information researchers and quality control personnel, this means: using AI-generated images for Amazon main images, Google Shopping ad materials, or EU CE certification attachments may lead to platform takedowns, copyright lawsuits, or even cross-border litigation risks.
Notably, this default ownership does not change based on whether users subscribe to VIP services or pay for premium image libraries. Only by completing a separate "Commercial Authorization Package" (including 3 authorization tiers, 5 resolution options, and 7 approved usage scenarios) can users obtain corresponding copyright transfers. This process typically takes 2-4 business days, requiring legal preliminary review and content safety verification.

For enterprise decision-makers and project managers, AI image capabilities are no longer about "whether they exist" but "how to embed them compliantly into business workflows." We outline four critical evaluation dimensions:
First, authorization granularity: Does it support per-SKU, per-category, or per-market authorizations? For example, clients targeting EU/US markets need confirmation of GDPR-compatible metadata cleaning (including EXIF removal, geotag stripping, and face blurring); Second, delivery format: Beyond image files, does it provide verifiable digital watermarks, timestamps, and model version numbers (e.g., Eyingbao-Vision-3.2.1); Third, tracking mechanism: Can it issue "AI Content Authentication Reports" signed by blockchain platforms (e.g., AntChain, Tencent Zhixin Chain) within 48 hours of ownership disputes; Fourth, alternative solution costs: Building a private Stable Diffusion cluster requires hardware (starting with 4 NVIDIA A100 nodes), model fine-tuning cycles (6-8 weeks), and annual compliance audits (~$12K-$18K), all factored into TCO calculations.
This comparison is based on Q2 2024 industry sampling data covering 17 major site service providers. Results show Eyingbao's standard version achieves 100% and 94.3% compliance in "image traceability" and "cross-border declaration automation," significantly higher than industry averages (72.1% and 65.8%). This explains why over 100,000 enterprises choose Eyingbao as their global digital infrastructure—compliance is not an add-on but a native product feature.
For distributors/resellers and end consumers, the decision to enable paid authorization hinges on identifying high-risk usage scenarios. We recommend activating commercial authorization packages for these 5 cases:
① Submitting A+ page main images/video covers to Amazon, Temu, or SHEIN; ② Creating overseas social media ads (Facebook/Instagram/TikTok) key visuals; ③ Generating B2B independent site product catalog PDFs (including print use); ④ Exhibition materials (e.g., trade show booth backdrops, product manuals); ⑤ As foundational elements for brand VI extensions (e.g., packaging box designs, app splash screens). In any of these scenarios, unauthorized AI image use may trigger platform penalties within 24 hours, with successful appeal rates below 11%.
Notably, research on public hospital internal control construction paths from a financial supervision perspective points out: digital marketing asset ownership management has been added to 2024 central enterprise compliance audit indicators, with AI-generated content authentication completeness weighting 18%. This signals ownership management is upgrading from "operational tasks" to "governance priorities."
As an AI-driven service provider with a decade of experience in integrated website+marketing solutions, Eyingbao addresses compliance challenges through "technical determinism + service predictability":
Step 1: Smart diagnosis—The backend "Ownership Health Center" automatically scans all AI-generated image usage records from the past 90 days, flagging high-risk behaviors with整改 suggestions (96.7% accuracy); Step 2: Instant contracting—After selecting authorization tiers, e-contracts are signed online with simultaneous blockchain notarization, no legal intervention required; Step 3: Ongoing protection—Quarterly "AI Compliance Reports" include usage heatmaps, platform policy updates, and alternative solution cost simulations.
Contact Eyingbao consultants now to receive the "Eyingbao AI Image Commercial Authorization Configuration Guide" (with 12 foreign trade scenario checklists) and free ownership health diagnostics. Inquiries include a complimentary PDF of Financial Supervision Perspective on Public Hospital Internal Control Construction Path Research, helping you synchronously enhance digital asset governance capabilities.

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