AI Visibility Audit — Vilvah Store
Domain reviewed: https://www.vilvahstore.com Date: 24 July 2026 Scope: How discoverable, machine-readable, and citable Vilvah is for AI systems and answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini).
Executive summary
Vilvah is a well-established, content-rich D2C skincare brand with unusually strong answer-engine raw material: structured product FAQs, full INCI ingredient lists, usage steps, and a clearly documented brand entity (founder, legal name, origin story, physical stores). Its main weakness is not content — it is machine legibility and entity consolidation. The single highest-leverage question is whether valid schema.org structured data (Product, Offer, AggregateRating, FAQPage, Organization) is emitted on key pages; this could not be confirmed with the tools used and is the biggest swing factor in the score. A parallel risk is a duplicate brand domain (vilvah.com alongside vilvahstore.com) that can split entity signals.
Overall AI Visibility Score: 74 / 100 — confidence band 69–80 pending schema verification. Tier: B — Strong foundation, under-optimized for citation.
Sub-scores by category
| Category | Score | Weight | Notes |
|---|---|---|---|
| Crawlability & access | 12 / 15 | 15% | Clean Shopify robots.txt, sitemap present, AI bots not blocked |
| Structured data & machine readability | 10 / 20 | 20% | Unverified — scored conservatively; see risk #1 |
| Entity clarity | 11 / 15 | 15% | Strong brand identity; duplicate-domain risk |
| Content answerability | 16 / 20 | 20% | Excellent FAQ/ingredient/usage depth |
| Trust & citation signals | 8 / 10 | 10% | Reviews, press, certifications |
| Brand footprint & corroboration | 10 / 12 | 12% | 60+ countries, marketplaces, press, apps |
| Freshness & maintenance | 7 / 8 | 8% | Recently updated pages, active blog |
| Total | 74 / 100 |
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