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← State of Agentic Commerce
Agentic Commerce Score · scanned 2026-07-23 · rubric v0.2

wearewild.com

61/100
grade C
not yet agent-buyable
platform: shopify

Can an AI shopping agent buy from wearewild.com?

As of 2026-07-23, no: wearewild.com scores 61/100 (grade C) on the Agentic Commerce Score and does not meet the agent-buyable bar. The failing checks are: Brand + product identifier (sku/gtin/mpn), AggregateRating in Product JSON-LD, Per-variant stock readable.

100
Discover — can agents fetch + read the store? (30%)
42
Evaluate — can agents parse + trust the products? (45%)
50
Transact — can an agent complete a purchase? (25%)

Discover — can agents fetch + read the store?

✓ AI crawlers allowed (robots.txt)
No AI shopping crawler is root-blocked in robots.txt.
✓ Homepage readable without JavaScript
Homepage serves ~1001 visible words of real HTML (no JS needed).
✓ Sitemap discoverable
Sitemap found.
✓ llms.txt present
/llms.txt found.

Evaluate — can agents parse + trust the products?

! Machine-readable product catalog
No open product feed — agents must crawl page-by-page; 2/3 sampled product pages carry complete Product JSON-LD.
! Required fields (title/image/price/description)
No feed; from 3 sampled product page(s), Product JSON-LD carries 67% of the four required fields on average.
! Product JSON-LD (Offer: price/currency/availability)
2/3 sampled product page(s) carry Product JSON-LD with a complete Offer (price + priceCurrency + availability); 2/3 carry any Product schema.
✗ Brand + product identifier (sku/gtin/mpn)
0/3 sampled product page(s) expose both brand and an identifier (sku/gtin/mpn); brand alone on 2/3.
✗ AggregateRating in Product JSON-LD
0/3 sampled product page(s) expose machine-readable review ratings.
✓ Product image alt text
100% of content images on sampled product page(s) carry non-empty alt text.
! Description depth (≥120 chars)
2/3 sampled product page(s) expose a quotable description (≥120 chars) in Product JSON-LD.

Transact — can an agent complete a purchase?

✓ Agentic-checkout rail (platform prerequisite)
Platform: shopify. Shopify asset/runtime markers in homepage HTML.
! Machine-readable price + availability
No feed; 2/3 sampled product page(s) expose price + availability via Offer schema.
✗ Per-variant stock readable
No feed and no per-variant availability exposed — an agent cannot tell which size/colour it can actually order.
! Shipping + returns policies (with terms)
Only one policy found — shipping missing · returns found.

Highest-impact fixes

  1. Publish brand plus a product identifier (sku / gtin / mpn) in Product JSON-LD — agents match, dedupe and price-compare products by identifier; without one your listing is an orphan.
  2. Expose reviews as AggregateRating in Product JSON-LD (ratingValue + reviewCount) — agents quote ratings when ranking options, and skip products that have none they can read.
  3. Expose stock per variant (size/colour), not just per product — an agent that cannot tell which variant is in stock will not complete the order.
  4. Fill the four required catalog fields on every product: title, image, price, description — a product missing one drops out of agent answers.
  5. Add complete Product JSON-LD on product pages: an Offer with price + priceCurrency + availability.
  6. Publish shipping and returns policies as real pages with concrete terms (state the return window in days) — agentic checkout surfaces merchant policies before completing a purchase.

Is this your store?

This is a point-in-time scan of public signals (2026-07-23) — if you have shipped fixes since, re-run it in ten seconds: npx agentic-commerce-score wearewild.com.

ACS covers whether agents can buy from you. The other half is whether AI assistants recommend you over competitors — run Arenza's free Agentic Visibility Score or write to hello@arenza.ai.

Think a check is wrong? Every result carries the evidence it was based on, and the scanner is open source — so a disputed score is a reproducible question, not an opinion. Mail hello@arenza.ai and we will re-scan, correct the published page if we got it wrong, and note the correction. Fixed the gap instead? Tell us and we will re-scan and update this page.