# Give Perplexity facts buyers can verify - **Title**: Perplexity Visibility for Beauty Businesses | BeautyGEO - **Description**: Prepare verifiable pages for Perplexity search and distinguish user fetches, API experiments and actual answer citations. - **Canonical URL**: https://beautygeo.com/ai-engines/perplexity/ - **Counterpart URL (EN/ZH)**: https://beautygeo.cn/ai/haiwai/ - **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 *** Give Perplexity facts buyers can verify Perplexity can link to public web sources when answering sourcing questions. The useful starting point is to make the company's own facts accessible and consistent, then inspect which sources a real answer uses. Source preferences seen in one pilot are not a rule for every category. ## Access and evidence Check | What the evidence establishes | Search access | PerplexityBot supports search discovery and links, not foundation-model training. Official crawler roles. | User-request access | Perplexity-User handles user-triggered visits and generally ignores robots.txt. A direct visit is different from natural search discovery. | Identity check | Match the user agent and the relevant official IP list: search bot or user fetcher. | API changes | Sonar Chat Completions support ended on 27 September 2026. The migration guide describes model-by-model rewriting of synchronous/streaming requests to Agent API; asynchronous Sonar is unsupported. Migration details. | What to measure | Consumer answers, API configuration, retrieved sources and final citations are separate evidence fields. | ## Practical priorities for beauty businesses - Check search-bot permission and verified source IPs in firewall logs for the public pages that should be discovered. - State MOQ with its unit, packaging format and customisation conditions; attach scope and dates to lead-time or certificate claims. - Keep verified company facts consistent across your website and existing marketplace or directory profiles. - Publish useful comparisons and original evidence. Do not infer that paid roundups or a particular page format will secure a citation. - Treat API migrations, different presets and domain filters as changes in test conditions; retain the earlier results as a dated cohort. ## How to measure this surface Run consumer-app questions separately from Agent API experiments. A request restricted to your domain diagnoses retrieval within that restriction; it does not measure unprompted discovery. Record the actual model and tool settings rather than carrying forward the old Sonar label. Follow the measurement methodology: keep retrieval, citation, factual accuracy and qualified enquiries as separate outcomes. ## Historical API pilot The September 2026 AI Supplier Index contains 5 archived answer summaries for Perplexity API, Sonar, recorded 2026-09-26. These are API observations, not a current consumer-app benchmark. The published summaries are not full original responses; supplier order is the order in those answers, not a persistent ranking. Affiliated companies are marked in the index. Read the measurement methodology before comparing runs. ## Illustrative buyer questions > Compare private-label blotting paper manufacturers by material, pack format and published MOQ. Cite the evidence. > Which sheet mask suppliers explain sampling, formula options and manufacturing lead-time conditions? Question templates for beauty-sourcing research, not results from a new test. BeautyGEO service-provider discovery uses its own question set. ## Official sources - Perplexity: search and user-request crawlers - Perplexity: migration from Sonar to Agent API - Perplexity: API web-search tool Guidance reviewed 11 October 2026. Access settings and valid markup do not guarantee indexing, citations or recommendations. FAQ Q: Why did an answer cite a marketplace instead of our website? A: Inspect that answer and the cited page before drawing a conclusion. Relevance, available facts and test conditions may differ. One result does not establish a universal preference for marketplaces. Q: Does allowing PerplexityBot allow training? A: Perplexity says this crawler is used for search discovery and is not a foundation-model training crawler. That statement should not be generalized to unrelated products or providers. Q: Can the September Sonar sample be compared directly with a new API run? A: Only after accounting for changed model, tool and endpoint conditions. The migration can change the experiment; keep those results in separately labelled cohorts. *** ## Frequently Asked Questions (FAQPage Grounding) ### Q: Why did an answer cite a marketplace instead of our website? **A**: Inspect that answer and the cited page before drawing a conclusion. Relevance, available facts and test conditions may differ. One result does not establish a universal preference for marketplaces. ### Q: Does allowing PerplexityBot allow training? **A**: Perplexity says this crawler is used for search discovery and is not a foundation-model training crawler. That statement should not be generalized to unrelated products or providers. ### Q: Can the September Sonar sample be compared directly with a new API run? **A**: Only after accounting for changed model, tool and endpoint conditions. The migration can change the experiment; keep those results in separately labelled cohorts. *** ## 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`