LLMS.txt Architect
39
Overview
- Get your products found and recommended by AI assistants like ChatGPT and Gemini using a structured llms.txt data feed that bypasses irrelevant page HTML.
- Ensure AI crawlers receive reliable, clean product specifications by extracting data directly from your Shopify pages and Metafields into a structured Markdown format.
- Route your product data directly to AI answer engines by optimizing llms.txt links, increasing the chance of appearing in AI-powered search results.
- Fully customize how your product data is presented to AI tools using included Liquid templates for structured data output.
- Include custom product attributes from Shopify Metafields in your AI data feed, ensuring all specifications are accurately communicated.
- Prepare your store for the future of AI search with a dedicated, evolving data channel that feeds pure product information to AI platforms.
Pros & Cons
Pros
- Resolves data parsing issues
- Straightforward Markdown data feed
- Customizable Liquid templates
- Optimizes llms.txt links
- Enhances product recommendation
- Auto-generates structured data templates
- Includes custom product data
- Auto-synchronization feature
- Reliable product information
- Undiluted product specifications
- Efficiently increases catalog visibility
- Designed for Shopify platform
- Built to handle Metafields
- Supports product data reliability
- One-click auto-generates templates
- Offers different upgrade options
- Product Metafields in llms.txt
- English language support
Cons
- Only supports English
- Limited to Shopify
- Doesn't support other standards
- Pricing tied to content volume
- No community or user reviews
- Requires manual sync for upgrades
- Strictly linked to llms.txt
- Lack of tangible user success stories
- Complex for non-technical users
Reviews
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❓ Frequently Asked Questions
LLMS.txt Architect's main function is to increase the visibility of your catalog to AI assistants by utilizing the llms.txt standard. It generates a structured data feed directly from your Shopify pages and Metafields, ensuring AI crawlers receive pure product specifications. It also auto-generates Liquid templates for structured data output and optimizes llms.txt links to direct product data to AI answer engines.
LLMS.txt Architect increases your catalog's visibility to AI assistants by using the llms.txt standard to streamline AI's access to your product data. It mitigates common AI data parsing issues by creating a structured data feed from your Shopify pages, delivering clean and direct product specifications to AI crawlers. Furthermore, it auto-generates Liquid templates and optimizes llms.txt links, improving AI’s direction to product data.
The llms.txt standard employed by LLMS.txt Architect is a structured data format that facilitates AI tools to efficiently find and recommend your products. It acts as a conduit for communication between your product pages and AI assistants, ensuring AI crawlers receive accurate product specifications.
LLMS.txt Architect targets AI tools like Gemini and ChatGPT due to the common data parsing issues present on standard Shopify product pages. These AI tools, in their existing state, might access irrelevant content such as surrounding HTML/CSS, impeding an accurate parsing of product data. LLMS.txt Architect fixes this by creating a pure data feed, ensuring these AI assistances receive clean and reliable product specifications.
LLMS.txt Architect mitigates data parsing issues on standard Shopify product pages by creating a dedicated and structured Markdown data feed directly from your Shopify pages and Metafields. This feed ensures irrelevant content such as HTML/CSS is filtered out, thereby enabling AI crawlers to access clean product specifications and improving the reliability of your product information in AI-powered search results.
LLMS.txt Architect tackles AI data parsing issues in two main ways. First, it creates a structured Markdown data feed directly from your Shopify pages and Metafields, ensuring non-essential HTML/CSS is bypassed. Second, it auto-generates Liquid templates for structured data output, which helps to further improve the precision of the data fed into AI search engines.
LLMS.txt Architect creates a data feed by extracting information directly from your Shopify pages and Metafields. It structures this data into a Markdown format, which ensures AI crawlers receive clean and reliable product specifications, excluding irrelevant content like intrusive HTML/CSS.
Liquid templates play a crucial role in LLMS.txt Architect. They are used for auto-generating structured data output. This structured output enhances AI's comprehension of product data, aiding data processing and ensuring more accurate and efficient recommendations by AI tools.
LLMS.txt Architect optimizes llms.txt links by directing them to AI answer engines. It ensures product data effectively funnels to AI platforms, resulting in improved visibility and more accurate recommendations of your catalog.
Yes, LLMS.txt Architect provides full customization of output format. Users can adjust the output according to their specific needs through the use of included Liquid Templates.
LLMS.txt Architect is only compatible with stores that allow the app to view and edit store data including products, in addition to viewing personal data like the store owner and content providers. It also requires the ability to edit your Online Store pages or Online Store page content on a path controlled by the app.
The frequency of syncing between LLMS.txt Architect and your Shopify pages depends on your chosen plan. The free plan includes an automatic daily sync, while the Pro plan comes with a manual sync on demand feature.
Presently, LLMS.txt Architect only supports the English language.
The cost of using LLMS.txt Architect depends on the chosen plan. There's a free plan available. The Basic plan costs $4.90 per month (or $49/year), and the Pro plan costs $9.90 per month (or $99/year).
Yes, LLMS.txt Architect offers a 7-day free trial for both the Basic and Pro plans.
LLMS.txt Architect requires access to personal data such as the store owner's name, email address, phone number, physical address, and specific store data like products and pages on your Online Store or content controlled by the app. It also requires viewing of content provider details like email address, IP address, browser, and operating system.
Yes, LLMS.txt Architect addresses the issue of surrounding HTML/CSS that may affect AI's parsing of product information. It does so by creating a structured Markdown data feed from your pages and Metafields, optimizing the data delivered to AI Crawlers.
LLMS.txt Architect is only compatible with Shopify stores that allow the app to view and edit certain store data, as well as to view certain personal data.
The benefits derived from different LLMS.txt Architect plans vary. The Free plan supports a daily sync of up to 100 products, collections, blog posts, and pages. The Basic plan extends this number to 300 and includes a 7-day free trial. The Pro plan offers all features from the Free plan, plus manual sync on demand, LLMS optimized product detail pages, template customization option, and an unlimited sync of products, collections, blog posts, and pages, alongside a 7-day free trial.
Support for issues with LLMS.txt Architect is provided by the developer, Custom Code. They can be contacted directly through the Shopify App Store page for the LLMS.txt Architect app.
LLMS.txt Architect is an AI optimizer tool specifically designed to increase the visibility of a business's product catalog to AI-based assistants using the LLMS.txt standard. It works specifically with Shopify product pages, and has features to handle common AI data parsing issues. It creates a structured markdown data feed from Shopify pages and Metafields, auto-generates Liquid templates for structured data output, and optimizes LLMS.txt links to direct product information to AI answer engines.
LLMS.txt Architect increases product visibility to AI assistants by utilizing the LLMS.txt standard. It creates a structured markdown data feed directly from your Shopify pages and Metafields, which is undiluted and efficiently accessible by AI assistants. By optimizing the LLMS.txt links, it routes the product data directly to the AI answer engines, thus increasing the chances of the products being found and recommended.
LLMS.txt Architect addresses common AI data parsing issues that arise from AI tools accessing irrelevant content surrounding the product information, like the HTML/CSS on standard Shopify product pages. It mitigates these issues by creating a dedicated data channel in the form of a structured markdown data feed to ensure AI crawlers receive clean and undiluted product specifications.
LLMS.txt Architect uses Shopify pages and Metafields to create a structured markdown data feed. It bypasses all the irrelevant content like HTML/CSS that surrounds the product information and instead focuses on extracting relevant product specifications directly from the specified pages and Metafields.
Metafields in LLMS.txt Architect serve as a source of custom product data. By parsing Metafields, LLMS.txt Architect is able to efficiently gather, structure and serve product-specific data to AI search assistants. The tool also includes this custom product data in the llms.txt file.
LLMS.txt Architect improves product information reliability in AI search results by feeding structured and undiluted product specifications directly to AI crawlers. This avoids the processing of irrelevant surrounding content and ensures AI tools only receive clean product information, hence improving the reliability of product information in AI-powered search results.
Yes, you can customize the output format of LLMS.txt Architect. The tool provides the facility to fully customize the output format via the use of Liquid templates.
The functionality of the auto-generated Liquid templates in LLMS.txt Architect is to generate a structured data output. They essentially ensure that the data outputted is organized and easily accessible for AI tools, thereby securing more efficient and reliable results from AI searches.
LLMS.txt Architect optimizes llms.txt links by introducing direct links to product data within them. These direct links serve to route product data to AI answer engines, enabling the engines to easily locate and reference precise product data.
LLMS.txt Architect prepares your store for evolving AI search by feeding structured product data and Metafields directly to AI answer engines. It also allows for the inclusion of custom product data in LLMS.txt and the full customization of output format using Liquid templates, thereby ensuring that your store remains adaptable to future evolution in AI search.
Currently, LLMS.txt Architect only supports the English language.
LLMS.txt Architect offers three pricing levels. The 'Free' plan doesn't cost anything. The 'Basic' plan costs $4.90 per month or $49 per year with a savings of 17%. The 'Pro' plan costs $9.90 per month or $99 per year, also with a savings of 17%.
Yes, there is a 7-day free trial available for both the 'Basic' and 'Pro' plans of LLMS.txt Architect.
Yes, LLMS.txt Architect can sync with your blog posts and other Shopify pages. The number of items it can sync depends on the purchased plan.
Yes, with the 'Pro' plan of LLMS.txt Architect, you can manually sync data on demand.
Yes, the 'Pro' plan of LLMS.txt Architect can handle unlimited Products, Collections, Blog Posts, and Pages.
Yes, LLMS.txt Architect does have limitations on the number of items it handles. The 'Free' plan can sync up to 100 products, collections, blog posts, and pages. The 'Basic' plan increases those limitations to 300. With the 'Pro' plan, there are no limitations and it can handle an unlimited number of items.
There aren't any reviews or ratings for LLMS.txt Architect currently.
Support for LLMS.txt Architect is provided by Custom Code.
LLMS.txt Architect needs access to the following store data to function properly: Store owner's name, email address, phone number, physical address; Content providers' email address, IP address, browser and operating system; Products or collections; Pages on your online store or online store page content on a path controlled by the app; Online store navigation.
LLMS.txt Architect creates a data feed by extracting information directly from your Shopify pages and Metafields. It structures this data into a Markdown format, which ensures AI crawlers receive clean and reliable product specifications, excluding irrelevant content like intrusive HTML/CSS.
Liquid templates play a crucial role in LLMS.txt Architect. They are used for auto-generating structured data output. This structured output enhances AI's comprehension of product data, aiding data processing and ensuring more accurate and efficient recommendations by AI tools.
LLMS.txt Architect optimizes llms.txt links by directing them to AI answer engines. It ensures product data effectively funnels to AI platforms, resulting in improved visibility and more accurate recommendations of your catalog.
Yes, LLMS.txt Architect provides full customization of output format. Users can adjust the output according to their specific needs through the use of included Liquid Templates.
LLMS.txt Architect is only compatible with stores that allow the app to view and edit store data including products, in addition to viewing personal data like the store owner and content providers. It also requires the ability to edit your Online Store pages or Online Store page content on a path controlled by the app.
The frequency of syncing between LLMS.txt Architect and your Shopify pages depends on your chosen plan. The free plan includes an automatic daily sync, while the Pro plan comes with a manual sync on demand feature.
Presently, LLMS.txt Architect only supports the English language.
The cost of using LLMS.txt Architect depends on the chosen plan. There's a free plan available. The Basic plan costs $4.90 per month (or $49/year), and the Pro plan costs $9.90 per month (or $99/year).
Yes, LLMS.txt Architect offers a 7-day free trial for both the Basic and Pro plans.
LLMS.txt Architect requires access to personal data such as the store owner's name, email address, phone number, physical address, and specific store data like products and pages on your Online Store or content controlled by the app. It also requires viewing of content provider details like email address, IP address, browser, and operating system.
Yes, LLMS.txt Architect addresses the issue of surrounding HTML/CSS that may affect AI's parsing of product information. It does so by creating a structured Markdown data feed from your pages and Metafields, optimizing the data delivered to AI Crawlers.
LLMS.txt Architect is only compatible with Shopify stores that allow the app to view and edit certain store data, as well as to view certain personal data.
The benefits derived from different LLMS.txt Architect plans vary. The Free plan supports a daily sync of up to 100 products, collections, blog posts, and pages. The Basic plan extends this number to 300 and includes a 7-day free trial. The Pro plan offers all features from the Free plan, plus manual sync on demand, LLMS optimized product detail pages, template customization option, and an unlimited sync of products, collections, blog posts, and pages, alongside a 7-day free trial.
Support for issues with LLMS.txt Architect is provided by the developer, Custom Code. They can be contacted directly through the Shopify App Store page for the LLMS.txt Architect app.
LLMS.txt Architect is an AI optimizer tool specifically designed to increase the visibility of a business's product catalog to AI-based assistants using the LLMS.txt standard. It works specifically with Shopify product pages, and has features to handle common AI data parsing issues. It creates a structured markdown data feed from Shopify pages and Metafields, auto-generates Liquid templates for structured data output, and optimizes LLMS.txt links to direct product information to AI answer engines.
LLMS.txt Architect increases product visibility to AI assistants by utilizing the LLMS.txt standard. It creates a structured markdown data feed directly from your Shopify pages and Metafields, which is undiluted and efficiently accessible by AI assistants. By optimizing the LLMS.txt links, it routes the product data directly to the AI answer engines, thus increasing the chances of the products being found and recommended.
LLMS.txt Architect addresses common AI data parsing issues that arise from AI tools accessing irrelevant content surrounding the product information, like the HTML/CSS on standard Shopify product pages. It mitigates these issues by creating a dedicated data channel in the form of a structured markdown data feed to ensure AI crawlers receive clean and undiluted product specifications.
LLMS.txt Architect uses Shopify pages and Metafields to create a structured markdown data feed. It bypasses all the irrelevant content like HTML/CSS that surrounds the product information and instead focuses on extracting relevant product specifications directly from the specified pages and Metafields.
Metafields in LLMS.txt Architect serve as a source of custom product data. By parsing Metafields, LLMS.txt Architect is able to efficiently gather, structure and serve product-specific data to AI search assistants. The tool also includes this custom product data in the llms.txt file.
LLMS.txt Architect improves product information reliability in AI search results by feeding structured and undiluted product specifications directly to AI crawlers. This avoids the processing of irrelevant surrounding content and ensures AI tools only receive clean product information, hence improving the reliability of product information in AI-powered search results.
Yes, you can customize the output format of LLMS.txt Architect. The tool provides the facility to fully customize the output format via the use of Liquid templates.
The functionality of the auto-generated Liquid templates in LLMS.txt Architect is to generate a structured data output. They essentially ensure that the data outputted is organized and easily accessible for AI tools, thereby securing more efficient and reliable results from AI searches.
LLMS.txt Architect optimizes llms.txt links by introducing direct links to product data within them. These direct links serve to route product data to AI answer engines, enabling the engines to easily locate and reference precise product data.
LLMS.txt Architect prepares your store for evolving AI search by feeding structured product data and Metafields directly to AI answer engines. It also allows for the inclusion of custom product data in LLMS.txt and the full customization of output format using Liquid templates, thereby ensuring that your store remains adaptable to future evolution in AI search.
Currently, LLMS.txt Architect only supports the English language.
LLMS.txt Architect offers three pricing levels. The 'Free' plan doesn't cost anything. The 'Basic' plan costs $4.90 per month or $49 per year with a savings of 17%. The 'Pro' plan costs $9.90 per month or $99 per year, also with a savings of 17%.
Yes, there is a 7-day free trial available for both the 'Basic' and 'Pro' plans of LLMS.txt Architect.
Yes, LLMS.txt Architect can sync with your blog posts and other Shopify pages. The number of items it can sync depends on the purchased plan.
Yes, with the 'Pro' plan of LLMS.txt Architect, you can manually sync data on demand.
Yes, the 'Pro' plan of LLMS.txt Architect can handle unlimited Products, Collections, Blog Posts, and Pages.
Yes, LLMS.txt Architect does have limitations on the number of items it handles. The 'Free' plan can sync up to 100 products, collections, blog posts, and pages. The 'Basic' plan increases those limitations to 300. With the 'Pro' plan, there are no limitations and it can handle an unlimited number of items.
There aren't any reviews or ratings for LLMS.txt Architect currently.
Support for LLMS.txt Architect is provided by Custom Code.
LLMS.txt Architect needs access to the following store data to function properly: Store owner's name, email address, phone number, physical address; Content providers' email address, IP address, browser and operating system; Products or collections; Pages on your online store or online store page content on a path controlled by the app; Online store navigation.
Pricing
Pricing model
Freemium
Paid options from
$4.90/month
Billing frequency
Monthly
