EditorialFlow – Make.com 4-Locale AI Translation, JSON-LD Schema & Social Syndication
Automated digital publishing scenario on Make.com that translates new research publications across 4 languages using Claude 3.7, builds validated Article JSON-LD & hreflang graphs, renders branded quote cards, and schedules omnichannel posts.
- Client : Jineolojî Research Center & Digital Media Hub
- Duration : 4 Weeks
- Year : 2026
- Tags : Automation , Make.com , AI Agents , Technical SEO , Multilingual CMS
- Website : jineoloji.net
Project Overview: EditorialFlow – Make.com 4-Locale AI Translation, JSON-LD Schema & Social Syndication
EditorialFlow is a multilingual digital publishing and technical SEO syndication pipeline engineered on Make.com for research centers, think tanks, and multi-locale media portals.
The Business Challenge & Technical Requirements
Publishing long-form sociological studies and policy papers across Arabic, English, Kurdish, and French required tedious manual metadata translation, `hreflang` cross-linking, `ScholarlyArticle` JSON-LD authoring, and custom social graphic creation for every channel.
Live Platform & Mobile Application Screens (jineoloji.net)
Technical Architecture & Full-Stack Implementation
Cynsera built an end-to-end Make.com scenario triggered when an editor marks a study `Published` in the CMS. Make.com invokes Claude 3.7 Sonnet with domain-specific glossary prompts to localize abstracts and SEO meta tags into 4 languages, generates validated `ScholarlyArticle` JSON-LD and reciprocal `hreflang` maps, renders typographic quote cards via Bannerbear/Canvas APIs, and distributes tailored threads across LinkedIn, X, Telegram, and newsletter lists.
Key Outcomes & Measurable Impact
Accelerated multilingual editorial distribution by 90% while guaranteeing 100% valid Schema.org and `hreflang` markup on every publication.
Explore the Live Platform: Visit jineoloji.net ↗