← State of Agentic Commerce
Agentic Commerce Score · scanned 2026-07-22 · rubric v0.1

turtlebeach.com

78/100
grade B
not yet agent-buyable
platform: shopify
76
Discover — can agents fetch + read the store? (35%)
75
Evaluate — can agents parse + trust the products? (40%)
84
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.
! llms.txt present
No /llms.txt (emerging convention — counted as a soft gap, not a blocker).
✓ Sitemap discoverable
Sitemap found.
! Homepage readable without JavaScript
Homepage exposes only ~195 visible words without JavaScript.

Evaluate — can agents parse + trust the products?

✓ Machine-readable product catalog
Open product feed at https://turtlebeach.com/products.json?limit=100 (100 products sampled).
! Catalog required fields (title/image/price/description)
Coverage over 100 products: title 100% · image 100% · price 100% · description 23% (avg 81%).
✓ Title quality (literal, matchable)
23% of titles carry a literal descriptor/spec; 0% read as marketing slogans.
✗ Description depth (≥120 chars)
23% of products have a description agents can actually quote (≥120 chars).
✓ Product JSON-LD (Offer: price/currency/availability)
Complete Product schema (rating schema absent).

Transact — can an agent complete a purchase?

✓ Agentic-checkout rail (platform prerequisite)
Platform: shopify. Open /products.json feed — 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.
! Shipping + returns policies discoverable
Shipping policy found · returns/refund policy not found.

Highest-impact fixes

  1. Bring product descriptions to 120+ chars of concrete, quotable substance.
  2. Serve real HTML without JavaScript: agent fetchers read the raw response. Pre-render or SSR your storefront.
  3. Fill the four required catalog fields on every product: title, image, price, description — a product missing one drops out of agent answers.
  4. Publish shipping + returns policy pages at stable URLs — agents surface (and protocols require) merchant policies before completing checkout.
  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 (2026-07-22) — if you have shipped fixes since, re-run it in ten seconds: npx agentic-commerce-score turtlebeach.com.

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