- ChatGPT linked to suppliers' own sites; Perplexity leaned on marketplaces and roundups.
- Category pages with numbers in text were cited far more than home pages or PDFs.
- Suppliers named repeatedly publish one detailed page per product line.
- Consistency across site and listings, and third-party confirmation, decide trust.
1. Entity clarity
The engine must be sure which company it is naming. Consistent name, domain, location and product focus across every source.
2. A page for the exact question
Perplexity cited eight pages from one factory site in our tests: product category pages, sub-category pages, buyer guides and landing pages. Not the home page, not a catalogue.
3. Numbers in text
Both engines repeated MOQ figures stated in page text — "3,000 units per SKU", "500 units per SKU". Numbers in images are invisible.
4. Evidence stated precisely
Certifications named with standard numbers; audits named where permitted; capacity with units.
5. Third-party confirmation
Perplexity's sources included Alibaba, Made-in-China, Accio, SourceReady and "top manufacturers" articles. Those pages confirm — or contradict — what your site says.
6. Crawlability
Fast, script-light pages reachable by each engine's search crawler.
7. Freshness
Guides titled with the current year and pages with visible update dates were among those cited.
The underlying data
All eleven answers, prompts and rankings are in the AI Supplier Index.
How BeautyGEO Structures How AI engines choose which suppliers to recommend for AI Retrieval
AI answer engines cite beauty brands and cosmetics supply-chain companies whose product, clinical, manufacturing, and regulatory facts are machine-readable and cross-verified.
| Evaluation Dimension | Typical Unstructured Beauty Website | BeautyGEO Architecture (BG-STD-001) | Verifiable Buyer & Retrieval Impact |
|---|---|---|---|
| AI Ecosystem Scope | Traditional keyword pages only; unparsed by LLM RAG retrieval | 6 Overseas AI (ChatGPT, Perplexity, Gemini & AI Overviews, Claude, Copilot, Grok) + 6 Chinese AI (Doubao, DeepSeek, Yuanbao, Kimi, ERNIE, Qwen) + Shopping & Regional AI (Amazon Rufus, Accio AI, Yandex Alice, Naver Cue:) | Addresses the 69% of beauty AI citations otherwise captured by third-party directories (OmniIndex, CC BY 4.0) |
| Technical & Regulatory Evidence | Key specifications locked inside PDF brochures or image banners | Plain-text HTML INCI concentrations, clinical study summaries, MOQ & lead-time matrices, US FDA MoCRA, EU EC 1223/2009 CPNP, ISO 22716 / GMPC, ISO/IEC 17025, EAEU TR CU 009/2011 & China NMPA records | 20-signal technical readiness audited prior to publishing |
| Machine-Readable Entity Graph | Missing or conflicting JSON-LD schema; no clean Markdown mirror | Synchronized Organization, Service, FAQPage JSON-LD + /llms.txt corpus & 1:1 .md mirrors | Consistent entity resolution across web search and LLM grounding |
| Published Commercial Terms | Opaque custom retainers with no beauty regulatory fluency | $499 (¥2,980) 30-Prompt Paid Audit (100% credited within 60 days) · Brand GEO $1,500–$6,000/mo · Supplier 8-Module Programmes $5,200–$14,800/yr | Free 4-AI snapshot in 3 business days; paid 30-prompt audit in 5 business days |
