GeorgiePlatforms

Connected during the Roadmap

AI visibility for Adobe Commerce stores.

Adobe Commerce gives you control over almost everything AI engines read. Georgie shows what your storefront actually serves to crawlers, and our team connects your catalog so every product is scored.

What AI reads on an Adobe Commerce product pageExample
  • Canonical URL on product pagesSet
  • Product content in the server HTMLRendered in the browser
  • Product structured dataPartial
  • AI crawlers allowed in robots.txtAllowed
  • Layered navigation URLsCrawlable duplicates

What Adobe Commerce stores often miss.

Most of these come from how a storefront was built and extended, not from the platform itself, and each one is fixable.

  • Headless storefronts AI can't read

    PWA and headless builds often render product content in the browser. Crawlers that don't run JavaScript can receive a nearly empty page.

    FixServe product content in the initial HTML, with server-side rendering or prerendering for crawlers.

  • Structured data that depends on extensions

    Product schema varies a lot between themes and extensions, and often misses brand, GTIN, material or reviews.

    FixComplete the Product schema so it matches the page, whichever extension outputs it.

  • Layered navigation noise

    Filters can create thousands of crawlable URLs that dilute what crawlers spend time on.

    FixUse canonical URLs and crawl rules so filtered pages don't compete with your products.

  • Store views and languages

    Each store view can carry its own language, content and settings, and gaps often differ from one view to the next.

    FixScore each store view in its own language, and fix the views that sell the most first.

Our team connects your catalog.

Georgie scans your public storefront from day one. During the Roadmap, our team connects your catalog data so every product is scored, not only the pages crawlers find.

  1. Public scan firstGeorgie reads your storefront the way AI crawlers do.
  2. We connect your catalogThrough product feeds or the Adobe Commerce APIs, with your team.
  3. Every product scoredYour full catalog, compared with what the live pages show.

What the connection adds

  • Your full catalog, not just what the sitemap exposes
  • Product data compared with the live page
  • Every store view, each in its own language
  • Fixes prioritized with your team

Start tracking AI visits with one line in your layout.

Add the Georgie pixel to your storefront's head. If your store runs behind Cloudflare, add the Worker too: it sees every AI crawler.

The pixel counts AI-referred visits that arrive with a tag, such as utm_source=chatgpt.com. The Worker sees every crawler and every referral.

How AI Visits works →
default_head_blocks.xml
<head>  …  <link rel="stylesheet"    href="…/track-css?website_id=yourbrand.com"/></head>

Adobe Commerce questions

Does it work with Magento Open Source?
Yes. Georgie reads any public storefront, so it works with Adobe Commerce, Adobe Commerce Cloud and Magento Open Source.
Do you support headless and PWA storefronts?
Yes. Georgie reads what your storefront serves to crawlers, which is exactly where headless builds tend to lose AI visibility.
How is the catalog connected?
During the Roadmap, our team connects your catalog data with yours, through product feeds or the Adobe Commerce APIs. Georgie only reads your data.
Will Georgie change our configuration?
No. Georgie tells you what to change and where. Your team or your agency ships the fixes, or ours does if you ask us to.

See what AI reads on your Adobe Commerce store.

The free scan scores your homepage and up to five product pages, with a ChatGPT head-to-head against your main competitor.