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

bombas.com

84/100
grade B
not yet agent-buyable
platform: shopify

Can an AI shopping agent buy from bombas.com?

As of 2026-07-23, no: bombas.com scores 84/100 (grade B) on the Agentic Commerce Score and does not meet the agent-buyable bar. The failing checks are: AggregateRating in Product JSON-LD.

95
Discover — can agents fetch + read the store? (30%)
83
Evaluate — can agents parse + trust the products? (45%)
72
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 ~1905 visible words of real HTML (no JS needed).
✓ Sitemap discoverable
Sitemap found.
! llms.txt present
No /llms.txt (emerging convention — counted as a soft gap, not a blocker).

Evaluate — can agents parse + trust the products?

! Machine-readable product catalog
No open product feed — agents must crawl page-by-page; 3/3 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 100% of the four required fields on average.
✓ Product JSON-LD (Offer: price/currency/availability)
3/3 sampled product page(s) carry Product JSON-LD with a complete Offer (price + priceCurrency + availability); 3/3 carry any Product schema.
✓ Brand + product identifier (sku/gtin/mpn)
3/3 sampled product page(s) expose both brand and an identifier (sku/gtin/mpn); brand alone on 3/3.
✗ 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)
3/3 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; 3/3 sampled product page(s) expose price + availability via Offer schema.
! Per-variant stock readable
No feed: product-level availability is readable from Offer schema, but per-variant stock is not exposed.
! Shipping + returns policies (with terms)
Policies linked from the storefront but not verified as substantive pages at stable URLs.

Highest-impact fixes

  1. 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.
  2. 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.
  3. Give agents a machine-readable catalog: keep an open product feed (on Shopify, /products.json) or at minimum ship complete Product JSON-LD on crawlable product pages.
  4. 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.
  5. Add /llms.txt — a short markdown map of your key pages for AI systems (llmstxt.org).

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 bombas.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.