{"id":450,"date":"2026-05-04T18:40:03","date_gmt":"2026-05-04T18:40:03","guid":{"rendered":"https:\/\/blog.vebnox.com\/content-engineering-basics-2\/"},"modified":"2026-05-04T18:40:03","modified_gmt":"2026-05-04T18:40:03","slug":"content-engineering-basics-2","status":"publish","type":"post","link":"https:\/\/vebnox.com\/blog\/content-engineering-basics-2\/","title":{"rendered":"Content engineering basics"},"content":{"rendered":"<p>[ad_1]<br \/>\n<\/p>\n<p>In the digital age, raw words and images are no longer enough to win the attention of search engines and users alike. <strong>Content engineering<\/strong>\u2014the systematic planning, creation, structuring, and delivery of content\u2014has become the backbone of successful content marketing, product documentation, and knowledge\u2011base initiatives. Whether you\u2019re a marketer, technical writer, or product manager, understanding the fundamentals of content engineering can dramatically improve the consistency, reusability, and search visibility of every piece of information you publish.<\/p>\n<p><\/p>\n<p>In this article you will learn:<\/p>\n<p><\/p>\n<ul><\/p>\n<li>What content engineering actually means and how it differs from traditional content creation.<\/li>\n<p><\/p>\n<li>Key components such as content modeling, taxonomy, metadata, and workflow automation.<\/li>\n<p><\/p>\n<li>Practical steps to design a robust content system that scales with your business.<\/li>\n<p><\/p>\n<li>Common pitfalls to avoid, plus tools, templates, and a real\u2011world case study.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p>By the end of the guide you\u2019ll have a clear roadmap to transform chaotic drafts into a structured, SEO\u2011optimized content engine that fuels both human readers and AI search assistants.<\/p>\n<p><\/p>\n<h2>1. Defining Content Engineering: More Than Just Writing<\/h2>\n<p><\/p>\n<p>Content engineering blends the discipline of software architecture with the creativity of writing. It focuses on <em>how<\/em> content is organized, stored, and delivered rather than merely <em>what<\/em> is written.<\/p>\n<p><\/p>\n<h3>Key idea<\/h3>\n<p><\/p>\n<p>Think of a content management system (CMS) as a library. A content engineer designs the cataloging system (taxonomy), decides what information goes on each shelf (content model), and ensures librarians (authors, editors) can find, update, and publish books (content) efficiently.<\/p>\n<p><\/p>\n<p><strong>Example:<\/strong> A SaaS company wants a help center where each article automatically shows related \u201chow\u2011to\u201d guides and FAQ snippets. A content engineer creates a model that includes fields for <code>topic<\/code>, <code>product version<\/code>, and <code>related articles<\/code>, then maps those fields to the front\u2011end UI.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Start every new project by drafting a simple content model on paper\u2014list the required fields, their data types, and relationships.<\/p>\n<p><\/p>\n<p><strong>Common mistake:<\/strong> Treating content engineering as a one\u2011time setup. Content ecosystems evolve; regular audits keep models, taxonomies, and metadata aligned with business goals.<\/p>\n<p><\/p>\n<h2>2. Building a Content Model: The Blueprint of Your Content<\/h2>\n<p><\/p>\n<p>A content model defines the structure of each content type. It answers questions like: What headline does the piece need? Which SEO fields are mandatory? How should images be handled?<\/p>\n<p><\/p>\n<h3>Core components<\/h3>\n<p><\/p>\n<ul><\/p>\n<li><strong>Fields<\/strong> \u2013 Text, rich\u2011text, number, date, image, Boolean.<\/li>\n<p><\/p>\n<li><strong>Field groups<\/strong> \u2013 Logical clusters (e.g., SEO Settings, Publishing Details).<\/li>\n<p><\/p>\n<li><strong>Relationships<\/strong> \u2013 One\u2011to\u2011many (article \u2192 tags), many\u2011to\u2011many (article  author).<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> A blog post model might include: <code>Title<\/code>, <code>Slug<\/code>, <code>Meta Description<\/code>, <code>Body<\/code>, <code>Featured Image<\/code>, <code>Author<\/code>, <code>Publish Date<\/code>, <code>Tags<\/code>.<\/p>\n<p><\/p>\n<p><strong>Actionable steps:<\/strong><\/p>\n<p><\/p>\n<ol><\/p>\n<li>List all content types you need (blog, case study, product spec).<\/li>\n<p><\/p>\n<li>Identify mandatory vs optional fields for each type.<\/li>\n<p><\/p>\n<li>Map relationships (e.g., tags belong to multiple articles).<\/li>\n<p>\n<\/ol>\n<p><\/p>\n<p><strong>Warning:<\/strong> Over\u2011engineering with too many optional fields leads to inconsistent data and weak SEO signals.<\/p>\n<p><\/p>\n<h2>3. Designing a Taxonomy: Organize Content for Users and Search Bots<\/h2>\n<p><\/p>\n<p>Taxonomy is the hierarchical classification (categories, tags, facets) that helps both humans and crawlers discover content quickly.<\/p>\n<p><\/p>\n<h3>Best\u2011practice hierarchy<\/h3>\n<p><\/p>\n<ul><\/p>\n<li><strong>Top\u2011level categories<\/strong> \u2013 Broad themes (e.g., \u201cMarketing\u201d, \u201cProduct\u201d).<\/li>\n<p><\/p>\n<li><strong>Sub\u2011categories<\/strong> \u2013 More specific topics (e.g., \u201cSEO\u201d, \u201cContent Strategy\u201d).<\/li>\n<p><\/p>\n<li><strong>Facets\/Tags<\/strong> \u2013 Non\u2011hierarchical keywords (e.g., \u201clink building\u201d, \u201ckeyword research\u201d).<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> An e\u2011learning platform tags each tutorial with \u201cskill level\u201d (Beginner, Intermediate, Advanced) to surface the right content for each learner.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Keep the taxonomy flat\u2014no more than three levels deep\u2014to avoid \u201corphan\u201d pages and thin content issues.<\/p>\n<p><\/p>\n<p><strong>Common mistake:<\/strong> Using tags as a dumping ground for every keyword. This dilutes relevance and can trigger Google\u2019s \u201ckeyword stuffing\u201d warnings.<\/p>\n<p><\/p>\n<h2>4. Metadata Mastery: The SEO Fuel for Content Engines<\/h2>\n<p><\/p>\n<p>Metadata is the hidden data that tells search engines what your page is about. Properly structured metadata improves click\u2011through rates (CTR) and helps AI assistants surface precise answers.<\/p>\n<p><\/p>\n<h3>Essential metadata fields<\/h3>\n<p><\/p>\n<ul><\/p>\n<li><strong>Title tag<\/strong> \u2013 50\u201160 characters, include primary keyword.<\/li>\n<p><\/p>\n<li><strong>Meta description<\/strong> \u2013 150\u2011160 characters, persuasive call\u2011to\u2011action.<\/li>\n<p><\/p>\n<li><strong>Schema markup<\/strong> \u2013 JSON\u2011LD for articles, FAQs, product reviews.<\/li>\n<p><\/p>\n<li><strong>Open Graph \/ Twitter Card<\/strong> \u2013 Controls social sharing preview.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> Adding <code>FAQPage<\/code> schema to a support article enables Google to show the Q&#038;A directly in SERPs.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Use a content model that enforces mandatory metadata fields before publishing.<\/p>\n<p><\/p>\n<p><strong>Warning:<\/strong> Duplicate meta titles across dozens of pages trigger \u201ctitle tag not unique\u201d errors in Google Search Console.<\/p>\n<p><\/p>\n<h2>5. Workflow Automation: From Draft to Publish in Minutes<\/h2>\n<p><\/p>\n<p>Manual hand\u2011offs slow down production and increase error rates. Automation tools like webhook\u2011enabled CMSs, CI\/CD pipelines, and AI\u2011assisted proofreading ensure faster, consistent releases.<\/p>\n<p><\/p>\n<h3>Typical automated steps<\/h3>\n<p><\/p>\n<ol><\/p>\n<li>Writer creates draft in CMS.<\/li>\n<p><\/p>\n<li>AI grammar &#038; SEO checker flags issues.<\/li>\n<p><\/p>\n<li>Content moves to reviewer queue via webhook.<\/li>\n<p><\/p>\n<li>Upon approval, content is auto\u2011published to staging.<\/li>\n<p><\/p>\n<li>Scheduled push to live site with version control.<\/li>\n<p>\n<\/ol>\n<p><\/p>\n<p><strong>Example:<\/strong> The marketing team at a fintech startup uses Zapier to push new blog drafts from Google Docs to Contentful, where an SEO bot adds missing <code>alt<\/code> text and triggers a Slack notification for review.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Map your current manual steps, then select one to automate (e.g., metadata checks) and iterate.<\/p>\n<p><\/p>\n<p><strong>Common pitfall:<\/strong> Automating without human oversight can publish low\u2011quality or factually incorrect content\u2014always retain a final editorial sign\u2011off.<\/p>\n<p><\/p>\n<h2>6. Content Localization: Scaling Across Languages<\/h2>\n<p><\/p>\n<p>Global brands need to serve content in multiple languages while preserving SEO value. Content engineering provides a framework for translation, locale\u2011specific metadata, and hreflang tags.<\/p>\n<p><\/p>\n<h3>Key considerations<\/h3>\n<p><\/p>\n<ul><\/p>\n<li>Separate content models per locale or a unified multilingual model.<\/li>\n<p><\/p>\n<li>Maintain parallel URL structures (e.g., <code>\/en\/<\/code>, <code>\/fr\/<\/code>).<\/li>\n<p><\/p>\n<li>Use translation memory tools to keep terminology consistent.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> A travel blog uses Contentful\u2019s \u201cLocales\u201d feature to store English, Spanish, and Japanese versions of the same article, automatically generating <code>hreflang<\/code> tags.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Flag SEO\u2011critical fields (title, meta description) as required for every locale to avoid missing translations.<\/p>\n<p><\/p>\n<p><strong>Warning:<\/strong> Forgetting to update <code>canonical<\/code> tags after adding localized pages can cause duplicate\u2011content penalties.<\/p>\n<p><\/p>\n<h2>7. Headless CMS vs Traditional CMS: Which Fits Your Architecture?<\/h2>\n<p><\/p>\n<p>Choosing the right platform influences how easily you can implement content engineering principles.<\/p>\n<p><\/p>\n<table><\/p>\n<tr>\n<th>Aspect<\/th>\n<th>Headless CMS<\/th>\n<th>Traditional CMS<\/th>\n<\/tr>\n<p><\/p>\n<tr>\n<td>Content Delivery<\/td>\n<td>API\u2011first, omnichannel (web, app, IoT)<\/td>\n<td>Tightly coupled to web pages<\/td>\n<\/tr>\n<p><\/p>\n<tr>\n<td>Flexibility<\/td>\n<td>High \u2013 developers define front\u2011ends<\/td>\n<td>Limited \u2013 templates drive presentation<\/td>\n<\/tr>\n<p><\/p>\n<tr>\n<td>Scalability<\/td>\n<td>Excellent for micro\u2011services<\/td>\n<td>Can become monolithic<\/td>\n<\/tr>\n<p><\/p>\n<tr>\n<td>SEO Control<\/td>\n<td>Requires custom routing, but fully controllable<\/td>\n<td>Built\u2011in SEO plugins, easier for beginners<\/td>\n<\/tr>\n<p><\/p>\n<tr>\n<td>Learning Curve<\/td>\n<td>Steeper (dev skills needed)<\/td>\n<td>Low to moderate<\/td>\n<\/tr>\n<p>\n<\/table>\n<p><\/p>\n<p><strong>Example:<\/strong> A news outlet uses a headless CMS (Strapi) to push articles to its web site, mobile app, and Alexa skill simultaneously.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> If you need multi\u2011channel distribution and have dev resources, start with a headless solution; otherwise, a robust traditional CMS (e.g., WordPress with Advanced Custom Fields) can be configured for engineering.<\/p>\n<p><\/p>\n<p><strong>Common mistake:<\/strong> Migrating to a headless CMS without mapping existing taxonomy, leading to broken internal links and SEO loss.<\/p>\n<p><\/p>\n<h2>8. Measuring Success: Analytics and Content Audits<\/h2>\n<p><\/p>\n<p>Engineering without measurement is guesswork. Track both performance metrics and data quality indicators.<\/p>\n<p><\/p>\n<h3>Key KPI categories<\/h3>\n<p><\/p>\n<ul><\/p>\n<li><strong>Engagement<\/strong> \u2013 Avg. time on page, bounce rate.<\/li>\n<p><\/p>\n<li><strong>SEO<\/strong> \u2013 Organic traffic, keyword rankings, featured\u2011snippet appearances.<\/li>\n<p><\/p>\n<li><strong>Content health<\/strong> \u2013 Missing metadata, orphaned pages, duplicate titles.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> Using Screaming Frog, a retailer discovers 120 product pages lack <code>alt<\/code> text. The engineering team adds a rule to the CMS to make <code>alt<\/code> mandatory.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Schedule a quarterly content audit using a SEO crawler and a spreadsheet to log violations; assign remediation owners.<\/p>\n<p><\/p>\n<p><strong>Warning:<\/strong> Relying solely on traffic numbers ignores content quality; a page may attract clicks but have low conversion because of missing schema.<\/p>\n<p><\/p>\n<h2>9. AI\u2011Assisted Content Engineering: Boosting Efficiency<\/h2>\n<p><\/p>\n<p>Generative AI tools are now integral to content pipelines\u2014 from outline generation to automated SEO recommendations.<\/p>\n<p><\/p>\n<h3>Practical AI uses<\/h3>\n<p><\/p>\n<ul><\/p>\n<li>Drafting first\u2011pass copy based on brief.<\/li>\n<p><\/p>\n<li>Suggesting canonical tags and internal links.<\/li>\n<p><\/p>\n<li>Generating JSON\u2011LD schema snippets.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<p><strong>Example:<\/strong> An e\u2011commerce team uses OpenAI\u2019s API to rewrite product descriptions, then feeds the output through a custom validator that checks for keyword density and schema compliance.<\/p>\n<p><\/p>\n<p><strong>Actionable tip:<\/strong> Implement a \u201chuman\u2011in\u2011the\u2011loop\u201d review for all AI\u2011generated content before publishing.<\/p>\n<p><\/p>\n<p><strong>Common mistake:<\/strong> Treating AI output as final; hallucinated facts can damage brand credibility and SEO.<\/p>\n<p><\/p>\n<h2>10. Tools &#038; Platforms Every Content Engineer Should Know<\/h2>\n<p><\/p>\n<ul><\/p>\n<li><a target=\"_blank\" href=\"https:\/\/www.contentful.com\">Contentful<\/a> \u2013 Headless CMS with robust modeling and localization.<\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"https:\/\/www.screamingfrog.co.uk\/seo-spider\/\">Screaming Frog SEO Spider<\/a> \u2013 Crawl\u2011based audit tool for metadata and taxonomy health.<\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"https:\/\/www.semrush.com\">SEMrush<\/a> \u2013 Keyword research, SERP analysis, and on\u2011page SEO recommendations.<\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"https:\/\/developer.mozilla.org\/en-US\/docs\/Web\/Guide\/HTML\/Using_data_attributes\">JSON\u2011LD Generator (online)<\/a> \u2013 Quick schema creation for articles, FAQs, and products.<\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"https:\/\/zapier.com\">Zapier<\/a> \u2013 Automation platform to connect CMS, Docs, Slack, and QA bots.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<h2>11. Mini Case Study: Turning a Fragmented Knowledge Base into a Search\u2011Friendly Hub<\/h2>\n<p><\/p>\n<p><strong>Problem:<\/strong> A SaaS company\u2019s support site had 3,000 articles scattered across three separate platforms, leading to duplicate content, broken internal links, and a 42\u202f% bounce rate.<\/p>\n<p><\/p>\n<p><strong>Solution:<\/strong> The team migrated all articles into Contentful, applied a unified content model (title, body, version, tags, schema), and built a taxonomy of \u201cProduct\u201d, \u201cFeature\u201d, \u201cTroubleshooting\u201d. Automated workflows added missing meta descriptions and generated <code>FAQPage<\/code> schema for each article.<\/p>\n<p><\/p>\n<p><strong>Result:<\/strong> Within two months, organic traffic rose 27\u202f%, average time on page increased to 3:45 minutes, and Google featured snippets appeared for 18 high\u2011value queries, delivering a 15\u202f% lift in free\u2011trial sign\u2011ups.<\/p>\n<p><\/p>\n<h2>12. Common Mistakes to Avoid in Content Engineering<\/h2>\n<p><\/p>\n<ul><\/p>\n<li><strong>Ignoring content lifecycle<\/strong> \u2013 Launch\u2011only focus leads to outdated articles.<\/li>\n<p><\/p>\n<li><strong>Over\u2011complicating models<\/strong> \u2013 Too many optional fields cause inconsistent data.<\/li>\n<p><\/p>\n<li><strong>Neglecting accessibility<\/strong> \u2013 Missing <code>alt<\/code> text or ARIA labels harms SEO and UX.<\/li>\n<p><\/p>\n<li><strong>Hard\u2011coding URLs<\/strong> \u2013 Prevents easy restructuring; use slugs from the model.<\/li>\n<p><\/p>\n<li><strong>Skipping schema validation<\/strong> \u2013 Results in markup errors that Google ignores.<\/li>\n<p>\n<\/ul>\n<p><\/p>\n<h2>13. Step\u2011by\u2011Step Guide: Building Your First Content Engine (7 Steps)<\/h2>\n<p><\/p>\n<ol><\/p>\n<li><strong>Audit existing content<\/strong> \u2013 Identify types, gaps, and metadata issues.<\/li>\n<p><\/p>\n<li><strong>Define content types<\/strong> \u2013 List each type (blog, case study, FAQ) and required fields.<\/li>\n<p><\/p>\n<li><strong>Create a taxonomy<\/strong> \u2013 Build a three\u2011level hierarchy with clear naming conventions.<\/li>\n<p><\/p>\n<li><strong>Set up a CMS<\/strong> \u2013 Choose headless or traditional, configure models and locales.<\/li>\n<p><\/p>\n<li><strong>Implement metadata rules<\/strong> \u2013 Make title, meta description, and schema mandatory.<\/li>\n<p><\/p>\n<li><strong>Automate workflow<\/strong> \u2013 Use Zapier or native webhooks for review, SEO checks, and publishing.<\/li>\n<p><\/p>\n<li><strong>Monitor &#038; iterate<\/strong> \u2013 Run quarterly audits, adjust models, and update taxonomy as business evolves.<\/li>\n<p>\n<\/ol>\n<p><\/p>\n<h2>14. Short Answer (AEO) Paragraphs<\/h2>\n<p><\/p>\n<p><strong>What is a content model?<\/strong> A content model is a structured template that defines the fields, data types, and relationships for a specific type of content, ensuring consistency across all published pieces.<\/p>\n<p><\/p>\n<p><strong>How does taxonomy affect SEO?<\/strong> A well\u2011designed taxonomy creates clear URL paths and internal linking, helping search engines understand topical relevance and boosting rankings for related queries.<\/p>\n<p><\/p>\n<p><strong>Why use schema markup?<\/strong> Schema provides explicit signals to search engines about the nature of your content, increasing the chances of rich results such as FAQs, reviews, or product details appearing in SERPs.<\/p>\n<p><\/p>\n<h2>15. Internal &#038; External Links for Further Reading<\/h2>\n<p><\/p>\n<ul><\/p>\n<li><a target=\"_blank\" href=\"\/blog\/content-strategy-guide\">Content Strategy Guide<\/a><\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"\/blog\/seo-basics\">SEO Basics for Marketers<\/a><\/li>\n<p><\/p>\n<li><a target=\"_blank\" href=\"\/blog\/structured-content\">Structured Content &#038; Localization<\/a><\/li>\n<p><\/p>\n<li>External: <a target=\"_blank\" href=\"https:\/\/developers.google.com\/search\/docs\/appearance\/structured-data\/intro-structured-data\">Google Structured Data Guidelines<\/a><\/li>\n<p><\/p>\n<li>External: <a target=\"_blank\" href=\"https:\/\/moz.com\/learn\/seo\/what-is-seo\">Moz \u2013 What Is SEO?<\/a><\/li>\n<p><\/p>\n<li>External: <a target=\"_blank\" href=\"https:\/\/ahrefs.com\/blog\/content-engineering\/\">Ahrefs \u2013 Content Engineering Explained<\/a><\/li>\n<p><\/p>\n<li>External: <a target=\"_blank\" href=\"https:\/\/www.semrush.com\/blog\/headless-cms\/\">SEMrush \u2013 Headless CMS Benefits<\/a><\/li>\n<p>\n<\/ul>\n<p><\/p>\n<h2>16. Conclusion: Your Roadmap to Scalable, SEO\u2011Ready Content<\/h2>\n<p><\/p>\n<p>Content engineering is not a buzzword\u2014it\u2019s the disciplined approach that turns scattered copy into a high\u2011performing, searchable asset. By defining precise models, building clean taxonomies, enforcing metadata, and automating workflows, you create a resilient content ecosystem that scales with product growth and search\u2011algorithm changes. Start small, iterate often, and let data guide each refinement. The result will be a brand\u2011centric knowledge hub that delights users, satisfies AI assistants, and climbs the rankings.<\/p>\n<p>[ad_2]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] In the digital age, raw words and images are no longer enough to win the attention of search engines and users alike. Content engineering\u2014the systematic planning, creation, structuring, and delivery of content\u2014has become the backbone of successful content marketing, product documentation, and knowledge\u2011base initiatives. Whether you\u2019re a marketer, technical writer, or product manager, understanding [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":451,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[535],"tags":[328,370,642,643],"class_list":["post-450","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-writing","tag-basics","tag-content","tag-content-engineering-basics","tag-engineering"],"_links":{"self":[{"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/posts\/450","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/comments?post=450"}],"version-history":[{"count":0,"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/posts\/450\/revisions"}],"wp:attachment":[{"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/media?parent=450"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/categories?post=450"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vebnox.com\/blog\/wp-json\/wp\/v2\/tags?post=450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}