From JavaScript shells to fully structured product data — with zero code changes.
"We had no idea AI crawlers were seeing empty pages. Within a week of deploying Appear, our products started showing up in ChatGPT recommendations — and we didn't change a single line of code."
Shomigo Markets operates a dynamic marketplace connecting buyers and sellers across dozens of product categories. Their platform relies heavily on client-side rendering — product listings, category pages, and merchant profiles are all built with JavaScript at runtime.
This meant AI crawlers were receiving empty HTML shells instead of actual product data. When users asked ChatGPT or Perplexity about marketplaces in Shomigo's category, the platform was either completely absent or described with vague, inaccurate information pulled from generic sources.
Citation rate growth across major LLMs after implementation.
A single CNAME DNS change routed traffic through Appear's edge. Human visitors experienced zero disruption — the transparent proxy was live within 15 minutes.
Appear crawled the marketplace and auto-generated AI response profiles for the homepage, 28 category pages, and 150+ representative product listings.
The Shomigo team reviewed auto-generated content via the dashboard, refined positioning language, and validated JSON-LD schema for products, sellers, and categories.
Crawler-specific responses went live for ChatGPT, Perplexity, Claude, and Gemini. The team tracked citation growth, reaching a 72/100 AI Visibility Score within the first month.
See how Appear turns client-rendered experiences into crawler-readable product and category data without a rebuild.
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