Creating Protein Friendly URL and Meta Definitions
Developed for page-based SEO and social media meta management on the protein infrastructure, Meta Helmet system enables all meta data to be managed from a single center. Thanks to this structure, title, description, keywords, Open Graph (OG) and extra meta definitions specific to each friendly URL can be easily made.

1️⃣ Go to the Meta Management Screen. Access
By pressing the “Protein Friendly Url” button on the page or in your document (example: product card, content detail), the meta and friendly URL management screen opens.
This screen contains the following fields:
- Meta Title: Page title (browser tab and OG title)
- Meta Description: Search engine and OG description
- Meta Keywords: SEO keywords
- Meta Extra: Dynamic area where additional meta tags can be added as desired
New lines can be added by pressing the “+ Meta Extra” button. Each line consists of two inputs:
- property → meta name (example: twitter:card, og:image, product:brand)
- content → meta value (example: summary_large_image, https://cdn.site.com/image.jpg, Protein)
The saved data is stored as array JSON in the META_EXTRA_DATA column in the table:
[ {"property":"twitter:card","content":"summary_large_image"}, {"property":"og:image","content":"https://cdn.site.com/uploads/product_123.jpg"}, {"property":"product:brand","content":"Protein"}]2️⃣ Theme Integration
Meta Helmet data is called in the site's theme structure header.cfm or in the theme head section:

This include reads the meta data from the Friendly URL record and automatically writes it to the section while the page is loading.
3️⃣ OG (Open Graph) and Extra Meta Descriptions
Meta Helmet creates Open Graph (OG) tags and optional custom meta descriptions that ensure social media share cards on the page appear correctly.
Below is an actual sample output. shown:

4️⃣ Automatic Definitions Comes with Protein Helmet
protein_meta_helmet.cfm file includes not only meta fields; It also automatically creates essential links throughout the site.
- Sitemap link:
- Favicon description:
- Manifest file:
Since these definitions are automatically created by the system, there is no need for further intervention.
5️⃣ Application Flow
- Friendly URL record is created or is updated.
- Meta fields are filled (title, description, keywords, meta extras).
- Theme
In the header.cfmfile,protein_meta_helmet.cfmis included. - When the page is rendered, meta tags are automatically added to it.
6️⃣ Social Media Support
Meta Helmet creates accurate previews of pages on the following platforms:
- Facebook / LinkedIn / WhatsApp: With OG (Open Graph) tags
- Twitter / X:
twitter:*with meta tags - Pinterest / Discord: Automatically reads OG data
6️⃣ Schema Markup Support
"Schema Markup" feature can be assigned to pages or widgets made with protein. The Schema Markup field allows you to add structured data markups that help search engines better understand the content of your web page. Thanks to this feature added in JSON-LD format, search engines understand more clearly what your page is about and can show this information as rich snippets in the search results. For example, by displaying the publication date and author for an article, the price and reviews for a product, and the date and location for an event directly in the search results, you can attract users' attention and increase your click-through rate.
The above options allow you to specify the type of content of your page (article, blog post, product, event, etc.) and based on your selection, the appropriate schema.org schema is automatically created and integrated into your page. In this way, you can significantly improve your search engine optimization without needing technical knowledge.

Schema markup can be given to widgets used in Page Designer or within a page.
Attention: When protein developers create elements on the page or widgets using the cf_puxi tag, Workcube Protein automatically creates json-ld data and loads it into the page.
Feedback
Creating SEO Meta Data with artificial intelligence
In the websites and e-commerce systems you create with Protein, the feature of creating metadata data with artificial intelligence on the basis of friendly URL has been introduced to the pages, products and contents. WAI now creates the most appropriate meta descriptions by scanning the content. To use this feature, your Gemini API must be active on your Workcube. You can experience it by entering the Friendly URL page in the current Workcube.