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

birddogs.com

62/100
grade C
not yet agent-buyable
platform: shopify

Can an AI shopping agent buy from birddogs.com?

As of 2026-07-23, no: birddogs.com scores 62/100 (grade C) on the Agentic Commerce Score and does not meet the agent-buyable bar. The failing checks are: Product JSON-LD (Offer: price/currency/availability), Brand + product identifier (sku/gtin/mpn), AggregateRating in Product JSON-LD, and 1 more.

95
Discover — can agents fetch + read the store? (30%)
29
Evaluate — can agents parse + trust the products? (45%)
82
Transact — can an agent complete a purchase? (25%)

Discover — can agents fetch + read the store?

✓ AI crawlers allowed (robots.txt)
No robots.txt — nothing blocks AI crawlers (open by default).
✓ Homepage readable without JavaScript
Homepage serves ~354579 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
Open product feed at https://birddogs.com/products.json?limit=100 (100 products sampled).
! Required fields (title/image/price/description)
Coverage over 100 feed products: title 100% · image 100% · price 100% · description 56% (avg 89%).
✗ Product JSON-LD (Offer: price/currency/availability)
0/3 sampled product page(s) carry Product JSON-LD with a complete Offer (price + priceCurrency + availability); 0/3 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 0/3.
✗ AggregateRating in Product JSON-LD
0/3 sampled product page(s) expose machine-readable review ratings.
! Product image alt text
54% of content images on sampled product page(s) carry non-empty alt text.
✗ Description depth (≥120 chars)
5% of feed products have a description agents can quote (≥120 chars).

Transact — can an agent complete a purchase?

✓ Agentic-checkout rail (platform prerequisite)
Platform: shopify. Open /products.json feed + Shop Pay signals — Shopify storefront; platform ships ChatGPT-checkout (ACP) and Google (UCP) catalog rails for eligible stores.
✓ Machine-readable price + availability
Feed exposes price on 100% and availability on 100% of products.
✓ Per-variant stock readable
100% of products expose an availability flag on every variant (size/colour level stock).
! Shipping + returns policies (with terms)
Shipping and returns policy pages found, but the returns page states no explicit window (e.g. "within 30 days").

Highest-impact fixes

  1. Add complete Product JSON-LD on product pages: an Offer with price + priceCurrency + availability.
  2. 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.
  3. 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.
  4. Bring product descriptions to 120+ chars of concrete, quotable substance.
  5. Fill the four required catalog fields on every product: title, image, price, description — a product missing one drops out of agent answers.
  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 birddogs.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.