Technical product schema
AI agents look for JSON-LD Product markup with brand, model, connectivity, battery specs, and compatibility data. Missing schema means your products are invisible to AI comparison tools.
When a shopper asks ChatGPT "best wireless earbuds under $100" or "where to buy phone cases for iPhone 16," your store either appears in the answer or it doesn't. Find out exactly where you stand.
Electronics buyers do more research than almost any other consumer category, and AI tools are rapidly becoming their first stop. When someone asks Perplexity "best Bluetooth speaker with 20-hour battery life" or asks ChatGPT to compare wireless charging pads, the AI surfaces stores with complete technical specifications — connectivity standards, battery life, compatibility lists, and dimensions — structured as machine-readable data. Most electronics and accessories Shopify stores have this information somewhere on their pages, but not in the structured formats AI crawlers can parse reliably. The result: technically superior products get passed over for competitors who have organized their data better. This free check finds those gaps and tells you exactly which fixes to prioritize.
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These are the signals that separate the stores AI recommends from those it ignores.
AI agents look for JSON-LD Product markup with brand, model, connectivity, battery specs, and compatibility data. Missing schema means your products are invisible to AI comparison tools.
Descriptions that answer "Is this compatible with both Android and iOS?" or "What is the battery life of this device?" make your pages quotable by AI answer engines like ChatGPT and Perplexity.
AI agents weigh warranty details, return policies, and compatibility guarantees when recommending electronics. Stores that structure these signals clearly earn more AI-driven recommendations.
Electronics buyers are highly research-driven and increasingly use AI tools like ChatGPT and Perplexity to compare specs before purchasing — asking "best wireless earbuds under $100" or "where to buy phone cases compatible with iPhone 16." If your store's product specifications, compatibility data, and technical details aren't structured for AI crawlers, you lose high-intent tech buyers to competitors whose product data is machine-readable.
We examine your product schema markup (brand, model, compatibility, technical specifications, connectivity), the answer-readiness of your product descriptions for AI comparison queries, whether AI crawlers like GPTBot can access your full catalog, and how well your site surfaces trust signals like warranty details and compatibility guarantees that AI agents use when recommending electronics purchases.
The highest-impact fixes are: adding Product JSON-LD schema with brand, model number, technical specs, and compatibility data; writing descriptions that directly answer comparison questions (e.g., "Is this compatible with Android and iOS?"); adding a llms.txt file; and ensuring AI crawlers like GPTBot are not blocked in your robots.txt.
Yes, completely free. Paste your store URL and receive a 0–100 AI visibility score plus a ranked list of fixes in about a minute. No signup or credit card required.