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 did not 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, where listings, category pages, and merchant profiles are built with JavaScript at runtime.
That meant AI crawlers were receiving empty HTML shells instead of real product data. When users asked ChatGPT or Perplexity about marketplaces in Shomigo's category, the platform was either absent or described with vague, inaccurate information pulled from generic sources.
Citation rate growth across major LLMs after implementation.
Guided setup routed traffic through Appear's edge with zero disruption for human visitors.
Appear crawled the marketplace and generated AI response profiles for core categories and representative listings.
The Shomigo team refined positioning language and validated structured product, seller, and category markup.
Citation growth was tracked across ChatGPT, Perplexity, and Claude while content was iteratively improved.
Appear turns client-rendered experiences into crawler-readable product and category data without forcing a rebuild.
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