clione.ai · Tools
2 items
Audit SEO, AEO, GEO and AI-readiness signals: JSON-LD, meta, Open Graph and structured data. Clione Pulse — AI Commerce Readiness Scanner Instantly audit how AI-ready any ecommerce page is. Clione Pulse scans structured data, JSON-LD schemas, meta tags, and SEO signals to score how well search engines and AI assistants can understand your products. What it does: Scans any webpage and grades its AI commerce readiness from A to F Evaluates JSON-LD structured data completeness (Product, Organization, BreadcrumbList, FAQ) Checks all critical SEO signals: title, description, canonical URL, Open Graph, Twitter Cards, robots, H1, lang Detects ecommerce platform (Shopify, BigCommerce, WooCommerce, Magento, and more) Measures schema field completeness against what AI assistants expect Checks content coherence across title, H1, meta description, and structured data Generates a detailed full-page report you can share with your team Who it's for: Ecommerce managers who want their products to appear in AI-powered shopping results SEO specialists auditing structured data quality Developers implementing JSON-LD schemas Agencies managing multiple storefronts How it works: Click the Pulse icon on any page. The extension scans the page in seconds and shows a visual breakdown of every signal — what's passing, what needs attention, and what's missing. Open the full report for a detailed view with raw JSON-LD inspection and field-by-field schema analysis. No data leaves your browser. All scanning happens locally on the page you're viewing.
Aug 13, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.