Verve Coffee

www.vervecoffee.com
Last scanned Jun 20, 2026, 6:27 AM
Verdict
Open to AI agents
ARC Score v1.0
83/100Mostly open
How it's computed →
Agent access50/50
Structured data11/25
Protocol files12/15
Scan stability10/10

Agent access

AgentStatusSource
GPTBotAllowedrobots.txt: Allow
ChatGPT-UserAllowedrobots.txt: Allow
ClaudeBotAllowedrobots.txt: Allow
Claude-WebAllowedrobots.txt: Allow
PerplexityBotAllowedrobots.txt: Allow
Google-ExtendedAllowedrobots.txt: Allow
AmazonbotAllowedrobots.txt: Allow
BingbotAllowedrobots.txt: Allow
CCBotAllowedrobots.txt: Allow

Infrastructure

PlatformmagentoCDNcloudflareWAFnone

Data signals

  • JSON-LDNot detected
  • Schema.org ProductNot detected
  • Open GraphYes
  • Product feedYes
  • llms.txtYes

Change history · last 90 days

0 changes
No confirmed changes in the last 90 days — this brand's agent access posture has been stable.

The free public window is 90 days. Multi-year history, watchlists, and change alerts are part of Pro.

Fix it with Claude Code

Each failed check below has a ready-made prompt tailored to this scan's findings. Run it in Claude Code from your site's repository.

No JSON-LD structured datashow prompt
My e-commerce site is vervecoffee.com. A scan found no JSON-LD structured data at all, so AI shopping agents can't reliably read our product names, prices, availability, or images. The site runs on magento, so prefer that platform's idiomatic way of serving these files/markup (theme templates, app settings, or metafields) over hand-rolled middleware where it exists.

In this repository:

1. Find the product page template/component and add a JSON-LD <script type="application/ld+json"> block with Schema.org Product markup: name, description, image, sku, brand, and an Offer with price, priceCurrency, availability (use schema.org/InStock | OutOfStock), and url. Populate every field from our real product data — no placeholders.
2. Add an Organization JSON-LD block to the base layout (name, url, logo) if missing.
3. If we have category/listing pages, add ItemList markup referencing the product URLs.
4. Show me one fully rendered example of the JSON-LD for a real product, then validate the shape against Google's Rich Results requirements for Product and fix any warnings you can detect statically.

Verify after deploy with https://search.google.com/test/rich-results on a product URL.

Embed this score

ARC Score badge for Verve Coffee
HTML
<a href="https://www.arcreport.ai/brand/verve-coffee"><img src="https://www.arcreport.ai/badge/verve-coffee.svg" alt="ARC Score for Verve Coffee" height="22"></a>
Markdown
[![ARC Score for Verve Coffee](https://www.arcreport.ai/badge/verve-coffee.svg)](https://www.arcreport.ai/brand/verve-coffee)

Updates automatically with each daily scan.

Scanned daily via robots.txt parsing and live HTTP tests for 9 AI agents. Changes are confirmed across two consecutive scans before publishing. Read the full methodology →