LLMS.txt Architect

Develop by Shopify

$4.9-$9.9

/ Month

Free plan available 7 Days Free Trial

"Optimize AI-generated Shopify product data with structured Markdown feeds."

Custom metafields

Markdown data feed

Liquid templates auto-generate

Optimizes llms.txt

About LLMS.txt Architect

Launched Dec 15, 2025

Built by Shopify

Address

151 O’Connor St, Ottawa, ON, ON, CA

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Unlock Deals 50% off

Zotabox: All in One Marketing

(145 Reviews)

Unlock Deals 50% off

Sponsored

Easy popups, banners, upsell tool, header bar to boost sales...

Description

Feeds structured product data and Metafields directly to AI answer engines.

Our app addresses common AI data parsing issues. Standard Shopify product pages may cause LLMs like Gemini and ChatGPT to access content that includes surrounding HTML/CSS. We fix this by creating a structured Markdown data feed directly from your pages and Metafields. This dedicated data channel ensures AI crawlers receive clean specifications, supporting the reliability of product information in AI-powered search results.

1-click auto-generates Liquid templates for structured data output.
Optimizes llms.txt links to route product data to AI answer engines.
Product Metafields – Include custom product data in llms.txt
Prepares your store for the evolving AI search (AEO).
Liquid Templates – Full customization of output format

Pros

Optimizes Shopify product data using structured Markdown feeds, ensuring cleaner AI data parsing.
Provides dedicated data channels, improving reliability of product information for AI-powered search results.
Automatically generates Liquid templates for structured data output with a single click, saving time and effort.
Includes options to customize Liquid templates for flexible output formatting.
Enhances product exposure for evolving AI search engines by optimizing llms.txt links.
Allows inclusion of custom product data using Product Metafields.

Cons

Might require users to understand Markdown and Liquid templates, which could be a learning curve for non-technical users.
Effectiveness heavily depends on the evolving AI search algorithms, which can change over time.