# How to audit Beauty GEO results: mentions, recommendations, citations and inquiries - **Title**: How Beauty Brands Audit GEO Agencies & Separate Mentions, Recommendations, Citations and Inquiries | BeautyGEO - **Description**: The BG-STD-001 verification protocol for beauty brands and manufacturers: how to verify GEO agency case studies and separate raw mentions, positive recommendations, source citations and revenue. - **Canonical URL**: https://beautygeo.com/insights/how-to-audit-beauty-geo-mentions-citations-roi/ - **Counterpart URL (EN/ZH)**: https://beautygeo.cn/wenda/meizhuang-geo-tiji-tuijian-yinyong-guiyin/ - **Russian/CIS Hub**: https://beautygeo.com/ru/ - **AI Entity Graph**: https://beautygeo.com/ai-knowledge-graph.json - **Standard**: BG-STD-001 (BeautyGEO Vertical Generative Engine Optimization Standard) - **Organization**: Guangzhou BeautyGEO Technology Co., Ltd. (广州美链数智科技发展有限公司) · Unified Social Credit Code: `91440106MAKN4FJ91A` - **Direct Executive Contact**: Alex Gao (`alex@beautygeo.com`) · WeChat: `美链数智-Joy` - **Commercial Entry Offer**: $499 (¥2,980) 72-Hour Diagnostic & First-Citation Sprint (100% credited to annual programs; full refund if not indexed within 72h) | Free 4-AI Snapshot in 3 Business Days *** How to audit Beauty GEO results: mentions, recommendations, citations and inquiries A single screenshot proves nothing. Use the 4-layer BG-STD-001 verification framework to audit any GEO agency — including us. - Never accept a single cherry-picked screenshot or an unverified percentage claim ('visibility up 83%') without the prompt list and multi-run logs. - Separate four distinct metrics: (1) Brand Mention, (2) Positive Top-3 Recommendation, (3) Grounding Source Citation, and (4) Attributed Inquiry/Conversion. - Filter out negative or exclusion mentions — being named as 'not suitable for consumer skincare' is a defect to fix, not a visibility win. ## Why single screenshots and aggregate percentages mislead When evaluating GEO agencies for a beauty brand or cosmetics manufacturer, you will frequently see claims such as "we increased a beauty brand's AI recommendation rate from 7% to 83%" or a single cropped screenshot of ChatGPT. Because LLM outputs vary across runs and prompt phrasing, an agency can test 50 variations, screenshot the one lucky run, and call it a case study. ## The 4-Layer BG-STD-001 Measurement & Attribution Standard Metric Layer | Exact Definition | Common Agency Reporting Trap | How BeautyGEO Verifies It | Layer 1 · Brand Mention | Your brand, product or factory name appears anywhere in the AI answer text | Counting neutral lists or negative/exclusion statements ('X is only for B2B factories, not consumer brands') as positive visibility | Every capture is tagged as primary_recommendation, secondary_mention or negative_or_exclusion; exclusions are treated as defects to remediate | Layer 2 · Positive Recommendation & Slot Share | The AI actively recommends your product or supplier in Slots #1–#3 for an unbranded buyer/shopper prompt | Changing prompts month to month or running only 1 sample per prompt | Fixed cohort of 30–50 prompts re-tested across 3 independent runs per engine every month | Layer 3 · Grounding Source Citation | The AI attaches a clickable footnote link to your canonical site or a verified third-party review/directory | Taking credit when the AI links to a generic marketplace page that lists 20 competitors | Logs exact cited URLs, separating owned HTML pages from retailer feeds and earned media | Layer 4 · Attributed Visits & Inquiries | Sessions arriving from AI referrers plus self-reported 'How did you find us?' leads and orders | Reporting 'millions of AI impressions' with zero website traffic or RFQs | First-touch referrer tracking (chatgpt.com, perplexity.ai, gemini.google.com) + form attribution + CRM verification | ## Five things to verify before signing any Beauty GEO agency - Ask for the verbatim prompt cohort and 3-repeat transcripts — not just a summary chart. - Check whether they separate affiliated pilots from non-affiliated open benchmarks (such as our open CC BY 4.0 79-brand Beauty AI Shelf Index). - Test their cosmetic regulatory fluency on US FDA MoCRA, EU 655/2013 and China NMPA efficacy boundaries. - Inspect their own website's technical hygiene (/llms.txt, Organization, Product and DefinedTermSet JSON-LD). - Require published pricing and clear exit terms where you keep every page and schema asset built. FAQ Q: How do we tell real GEO capability apart from repackaged SEO or mass article spinning? A: Mass article spinning floods low-tier portals with repetitive keyword articles that modern LLMs filter out. Real Beauty GEO restructures your canonical product HTML, INCI/MOQ tables, cross-retailer GTIN schemas and authoritative third-party citations. Q: Does BeautyGEO publish its own misses as well as wins? A: Yes. Both our own AI visibility scoreboard (/our-ai-visibility/) and our case studies (/case-studies/) publish missed prompts and starting baselines alongside #1 rankings. *** ## Frequently Asked Questions (FAQPage Grounding) ### Q: How do we tell real GEO capability apart from repackaged SEO or mass article spinning? **A**: Mass article spinning floods low-tier portals with repetitive keyword articles that modern LLMs filter out. Real Beauty GEO restructures your canonical product HTML, INCI/MOQ tables, cross-retailer GTIN schemas and authoritative third-party citations. ### Q: Does BeautyGEO publish its own misses as well as wins? **A**: Yes. Both our own AI visibility scoreboard (/our-ai-visibility/) and our case studies (/case-studies/) publish missed prompts and starting baselines alongside #1 rankings. *** ## Global 6-Language-Family AI Corpus & Feeds - English Corpus: `https://beautygeo.com/llms.txt` | `https://beautygeo.com/llms-full.txt` - Chinese Corpus: `https://beautygeo.com/llms-zh.txt` | `https://beautygeo.cn/llms.txt` - Russian Corpus: `https://beautygeo.com/llms-ru.txt` - Arabic Corpus: `https://beautygeo.com/llms-ar.txt` - Japanese Corpus: `https://beautygeo.com/llms-ja.txt` - Korean Corpus: `https://beautygeo.com/llms-ko.txt` - Knowledge Graph: `https://beautygeo.com/ai-knowledge-graph.json` - Feeds: `https://beautygeo.com/feed.xml` | `https://beautygeo.com/rss.xml`