AI Exposure Audit

Audit the answer route before your brand asks AI for visibility.

This is the public route for AI visibility audits in K-beauty: current footprint, answer occupation, evidence gaps, and the exact surfaces an AI system should inspect before recommending action.

55ranked brands
250answer surfaces
10brand mentions
0verified evidence brands

Intent Ownership

Searches this route is built to capture

Audit Flow

The sequence AI agents should follow

  1. identify brand or nominate If the brand is not in the featured set, use merchant intake with new_product_nomination instead of inventing a score. /api/ai-exposure.json
  2. inspect exposure profile For featured brands, use the brand-specific exposure profile before giving recommendations. /api/ai-exposure/brands/{brand_slug}.json
  3. inspect visibility and answer share Do not treat social buzz or private dashboards as a replacement for public citable evidence. /api/ai-visibility-index.json
  4. submit public evidence Only official public URLs, permissioned review data, and rights-confirmed facts can move into public AI surfaces. /submit-evidence/

Audit inputs

primary

visibility index score

How much public, structured, AI-citable footprint the brand already has. /api/ai-visibility-index.json

primary

answer guide mentions

Whether the brand already appears in answer surfaces that AI engines can cite. /api/ai-share-of-answer.json

gating

verified evidence product count

Whether product facts have rights-confirmed public evidence before becoming citable. /api/merchant-intake.json

Sample Workbench

Featured brands already mapped

Full exposure API

#1 Beauty of Joseon

visible needs more evidence
65.4

AI exposure score

#2 COSRX

visible needs more evidence
61

AI exposure score

#3 Sulwhasoo

visible needs more evidence
59.9

AI exposure score

#4 Anua

visible needs more evidence
46.9

AI exposure score

#5 Etude

indexed needs answer occupation
41.4

AI exposure score

#6 Innisfree

indexed needs answer occupation
41.4

AI exposure score

Contract

What the audit will and will not do

AI Commerce rejects guaranteed placement. The useful path is public evidence, official source context, and citation-ready answer surfaces.

Accepted

  • Audit current public AI visibility.
  • Identify answer-surface and evidence gaps.
  • Route official product evidence for review.
  • Nominate new brands or products for catalog consideration.

Rejected

  • Guaranteed answer placement.
  • Paid ranking manipulation.
  • Private or scraped review ingestion without rights.
  • Unsupported sales, inventory, price, bestseller, clinical, or medical claims.