{"id":853,"date":"2026-03-17T07:05:15","date_gmt":"2026-03-17T07:05:15","guid":{"rendered":"https:\/\/www.stridec.com\/blog\/build-backlinks-ai-search-strategic-guide\/"},"modified":"2026-03-17T07:05:15","modified_gmt":"2026-03-17T07:05:15","slug":"build-backlinks-ai-search-strategic-guide","status":"publish","type":"post","link":"https:\/\/www.stridec.com\/blog\/build-backlinks-ai-search-strategic-guide\/","title":{"rendered":"How to Build Backlinks for AI Search: A Strategic Guide for 2026"},"content":{"rendered":"<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Article\",\n      \"headline\": \"How to Build Backlinks for AI Search: A Strategic Guide for 2026\",\n      \"description\": \"The backlink landscape has fundamentally shifted in 2026. While traditional SEO focused on accumulating links for PageRank authority, AI search engines like ChatGPT, Google's SGE, and Perplexity evaluate backlinks through semantic context and topical relevance. AI systems understand content relat...\",\n      \"keywords\": \"backlinks ai search\",\n      \"datePublished\": \"2026-03-17\",\n      \"dateModified\": \"2026-03-17\",\n      \"author\": {\n        \"@type\": \"Person\",\n        \"name\": \"Alva Chew\",\n        \"url\": \"https:\/\/stridec.com\/blog\"\n      },\n      \"publisher\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Stridec\",\n        \"url\": \"https:\/\/stridec.com\/blog\"\n      }\n    }\n  ]\n}\n<\/script><\/p>\n<p>The backlink landscape has fundamentally shifted in 2026. While traditional SEO focused on accumulating links for PageRank authority, AI search engines like ChatGPT, Google&#8217;s SGE, and Perplexity evaluate backlinks through semantic context and topical relevance. AI systems understand content relationships at a deeper level, replacing the old playbook of domain authority metrics.<\/p>\n<p>After 24 years in SEO and successfully positioning AeroChat alongside established players like Tidio and Gorgias in AI search results, I&#8217;ve learned that building backlinks for AI search requires a completely different strategic approach. Here&#8217;s the framework that actually works.<\/p>\n<h2>How AI Search Engines Evaluate Backlinks Differently Than Traditional SEO<\/h2>\n<p>AI search engines don&#8217;t just count backlinks\u2014they understand them. While traditional SEO algorithms relied heavily on PageRank signals and domain authority scores, AI systems analyze the semantic context surrounding each link to determine its relevance and trustworthiness.<\/p>\n<p>The fundamental difference lies in how AI processes information. Traditional search engines evaluated links based on anchor text, linking domain authority, and link velocity. AI search engines read the entire content context around a link, understand the topical relationship between linking and linked content, and assess whether the citation makes logical sense within the broader information ecosystem.<\/p>\n<p>At Stridec, I&#8217;ve observed this shift directly through client results. Links from high-DA sites with weak topical relevance now perform poorly in AI search results, while contextually relevant citations from moderate-authority sources drive significant AI visibility.<\/p>\n<table>\n<tr>\n<th>Traditional SEO Link Evaluation<\/th>\n<th>AI Search Link Evaluation<\/th>\n<\/tr>\n<tr>\n<td>Domain Authority (DA\/DR scores)<\/td>\n<td>Topical authority and semantic relevance<\/td>\n<\/tr>\n<tr>\n<td>Anchor text keyword matching<\/td>\n<td>Contextual understanding of citation purpose<\/td>\n<\/tr>\n<tr>\n<td>Link quantity and velocity<\/td>\n<td>Citation quality and informational value<\/td>\n<\/tr>\n<tr>\n<td>PageRank flow and link juice<\/td>\n<td>Knowledge graph connections and entity relationships<\/td>\n<\/tr>\n<tr>\n<td>Nofollow vs. dofollow distinction<\/td>\n<td>All citations contribute to entity recognition<\/td>\n<\/tr>\n<\/table>\n<p>This shift explains why AeroChat appeared in AI search results alongside competitors with significantly more backlinks. The AI systems recognized our citations came from contextually relevant e-commerce and Shopify-focused sources, making them more valuable than generic business directory links.<\/p>\n<h2>Quality Indicators That AI Systems Prioritize When Assessing Backlinks<\/h2>\n<p>AI search engines evaluate backlink quality through multiple sophisticated signals that go far beyond traditional metrics. Understanding these indicators is crucial for building an effective 2026 link strategy.<\/p>\n<p><strong>Topical Authority Over Domain Metrics<\/strong><\/p>\n<p>AI systems prioritize links from sources that demonstrate clear expertise in your specific niche. A citation from a well-researched industry blog with 500 monthly visitors often outperforms a link from a generic high-DA site with no topical relevance. The AI assesses the depth of knowledge in the linking content and weights it accordingly.<\/p>\n<p><strong>Content Freshness and Accuracy<\/strong><\/p>\n<p>AI search engines cross-reference information across multiple sources to verify accuracy. Links from content that contains outdated information or factual errors carry less weight, regardless of the source&#8217;s traditional authority metrics. This makes maintaining up-to-date, accurate content critical for sustainable link building.<\/p>\n<p><strong>Citation Patterns and Verification<\/strong><\/p>\n<p>AI systems analyze how information flows across the web. Sources that consistently cite accurate, well-researched content build trust signals that compound over time. This creates a virtuous cycle where quality publishers become more valuable link sources as AI systems learn to trust their editorial judgment.<\/p>\n<p><strong>User Engagement and Interaction Signals<\/strong><\/p>\n<p>While traditional SEO couldn&#8217;t easily measure user engagement with specific links, AI systems analyze interaction patterns to assess content quality. Links from content that generates meaningful discussion, shares, and engagement carry more weight than those from content that users quickly abandon.<\/p>\n<p>Here&#8217;s my checklist for evaluating backlink quality in the AI search era:<\/p>\n<ul>\n<li>Topical relevance between linking and linked content<\/li>\n<li>Content accuracy and factual verification<\/li>\n<li>Editorial quality and research depth<\/li>\n<li>Source expertise in the subject matter<\/li>\n<li>Content freshness and regular updates<\/li>\n<li>Natural citation context and purpose<\/li>\n<li>User engagement with the linking content<\/li>\n<li>Cross-referencing with other authoritative sources<\/li>\n<li>Entity recognition and knowledge graph connections<\/li>\n<li>Semantic relationship strength<\/li>\n<li>Citation formatting and presentation quality<\/li>\n<li>Overall content comprehensiveness<\/li>\n<\/ul>\n<p>I&#8217;ve seen this play out directly in our work on <a href=\"https:\/\/www.stridec.com\/blog\/aeo-optimization-checklist-content-cited-ai-overviews\/\">optimizing for AI search citations<\/a>. The backlinks that drive the most AI visibility come from sources that demonstrate clear expertise and provide meaningful context around the citation.<\/p>\n<h2>Link Building Strategies That Work Specifically for AI Search Visibility<\/h2>\n<p>Building backlinks for AI search requires creating content that AI systems naturally want to cite and reference. This means shifting from traditional outreach tactics to becoming a primary source that other authoritative publishers reference organically.<\/p>\n<p><strong>The CITE Framework for AI-Optimized Link Building<\/strong><\/p>\n<p>I developed this framework after analyzing which content types consistently earn citations in AI search results:<\/p>\n<p><strong>Create Comprehensive Resources<\/strong>: Develop in-depth guides, original research, and data-driven content that becomes the definitive source on specific topics. AI systems prioritize comprehensive information over surface-level coverage.<\/p>\n<p><strong>Identify Citation Opportunities<\/strong>: Find existing content gaps where authoritative sources need better data or examples. Position your content as the missing piece that completes their narrative.<\/p>\n<p><strong>Target Expert Networks<\/strong>: Build relationships with recognized experts and thought leaders in your space. Their citations carry disproportionate weight because AI systems recognize their authority.<\/p>\n<p><strong>Establish Thought Leadership<\/strong>: Publish original insights and predictions that other industry sources reference. AI systems learn to associate your entity with specific expertise areas.<\/p>\n<p><strong>Building Citable Original Research<\/strong><\/p>\n<p>Original research and proprietary data create natural citation magnets. When I published AeroChat&#8217;s query resolution benchmarks, multiple industry sources cited our data because AI systems recognized it as primary source material. The key is making your research methodology transparent and your data easily referenceable.<\/p>\n<p>Create studies that answer specific questions your industry is asking. Survey your customer base, analyze industry trends, or compile comparative data that doesn&#8217;t exist elsewhere. Package this research in formats that make citation easy\u2014clear charts, quotable statistics, and downloadable resources.<\/p>\n<p><strong>Developing Strategic Content Partnerships<\/strong><\/p>\n<p>Instead of traditional guest posting, focus on collaborative content that provides mutual value. Co-author research studies with complementary businesses, contribute expert insights to industry reports, or provide case study data for authoritative publications.<\/p>\n<p>These partnerships work because they create natural citation opportunities where both parties benefit from the association. AI systems recognize these authentic collaborations and weight them more heavily than obvious link exchanges.<\/p>\n<p>The strategy that transformed AeroChat&#8217;s visibility was focusing on becoming a frequently cited source rather than accumulating random backlinks. This approach requires more initial investment but creates compounding returns as AI systems learn to trust and reference your entity consistently.<\/p>\n<h2>Optimizing Anchor Text and Link Context for AI Understanding<\/h2>\n<p>AI search engines understand context far better than traditional algorithms, which means anchor text optimization requires a more sophisticated approach. Instead of keyword-stuffed anchor text, focus on natural language patterns that clearly communicate the relationship between content pieces.<\/p>\n<p><strong>Semantic Context Over Exact Match<\/strong><\/p>\n<p>AI systems analyze the entire paragraph surrounding a link to understand its purpose and relevance. A natural anchor like &#8220;comprehensive analysis of e-commerce chatbot performance&#8221; provides more value than &#8220;best Shopify chatbot&#8221; because it clearly communicates what the reader will find when they follow the link.<\/p>\n<p>The surrounding content matters as much as the anchor text itself. AI systems evaluate whether the citation makes logical sense within the broader narrative and whether it adds genuine value for readers seeking that specific information.<\/p>\n<p><strong>Natural Language Citation Patterns<\/strong><\/p>\n<p>Study how authoritative sources naturally cite information and mirror those patterns. Academic papers, quality journalism, and expert analysis all follow similar citation conventions that AI systems recognize as trustworthy.<\/p>\n<p>Examples of AI-friendly citation context:<\/p>\n<ul>\n<li>&#8220;According to recent research from [Company], the average query resolution rate for AI chatbots has increased to 87-94%&#8221;<\/li>\n<li>&#8220;A comprehensive analysis by [Expert] found that entity differentiation strategies outperform traditional SEO approaches&#8221;<\/li>\n<li>&#8220;Industry data from [Source] suggests that businesses implementing AI-first content strategies see 343% impression growth&#8221;<\/li>\n<\/ul>\n<p><strong>Contextual Relevance Signals<\/strong><\/p>\n<p>AI systems evaluate the logical flow of information around citations. The linking content should establish why the citation is relevant, what specific information it provides, and how it supports the broader argument or narrative.<\/p>\n<p>This means the paragraph before and after a link should create clear context for why that citation exists. Random links inserted without proper context carry minimal weight because AI systems can&#8217;t determine their relevance or value.<\/p>\n<h2>Building Relationships with Sources That AI Systems Frequently Reference<\/h2>\n<p>AI search engines consistently cite certain types of sources because they demonstrate reliability, expertise, and editorial quality. Identifying and building relationships with these sources should be a core component of your 2026 link building strategy.<\/p>\n<p><strong>Academic and Research Institutions<\/strong><\/p>\n<p>Universities, research centers, and academic publications carry exceptional weight in AI search results because they follow rigorous editorial standards and peer review processes. AI systems have learned to trust these sources through extensive training data.<\/p>\n<p>Building relationships with academic sources requires providing genuine value\u2014original research data, expert commentary, or case study access that supports their research objectives. The key is approaching these relationships as collaborative partnerships rather than traditional link exchanges.<\/p>\n<p><strong>Established Industry Publications<\/strong><\/p>\n<p>AI systems recognize publications that consistently produce quality content and maintain editorial standards. These sources become trusted references that AI engines cite frequently across multiple queries.<\/p>\n<p>Focus on publications that already appear in AI search results for queries related to your industry. <a href=\"https:\/\/www.stridec.com\/blog\/track-google-ai-overview-rankings-tools-methods-guide\/\">Track which sources AI systems reference<\/a> most often and prioritize building relationships with those editorial teams.<\/p>\n<p><strong>Government and Regulatory Sources<\/strong><\/p>\n<p>Official government websites, regulatory bodies, and policy organizations carry significant authority in AI search results because they represent authoritative information sources that AI systems are trained to trust.<\/p>\n<p>While these sources may seem difficult to access, many government agencies and regulatory bodies actively seek industry input for policy development, research studies, and public comment periods. Participating in these processes can lead to valuable citations.<\/p>\n<p><strong>Expert Networks and Thought Leaders<\/strong><\/p>\n<p>Individual experts who consistently appear in AI search results become valuable relationship targets. AI systems learn to associate specific individuals with expertise areas and weight their citations accordingly.<\/p>\n<p>Building these relationships requires genuine expertise and consistent value contribution. Engage meaningfully with expert content, provide thoughtful commentary, and establish yourself as a knowledgeable peer rather than someone seeking favors.<\/p>\n<p>The strategy that worked for positioning AeroChat alongside industry leaders was systematically building relationships with sources that AI systems already trusted and cited. This created a network effect where our entity became associated with established authorities in the space.<\/p>\n<h2>Measuring Backlink Performance in an AI Search Landscape<\/h2>\n<p>Traditional backlink metrics like referring domains and domain authority provide incomplete pictures of link performance in 2026. AI search engines evaluate links through different criteria, requiring new measurement approaches and KPIs.<\/p>\n<p><strong>AI Visibility Metrics<\/strong><\/p>\n<p>The most important metric is how often your content appears in AI-generated responses and featured snippets. This indicates that AI systems recognize your backlinks as credible citations worth referencing in their answers.<\/p>\n<p>Track mentions in ChatGPT responses, Google SGE results, Bing Chat answers, and Perplexity citations. While these platforms don&#8217;t provide direct analytics, you can monitor brand mentions and topic associations through various methods I&#8217;ve documented in my work on <a href=\"https:\/\/www.stridec.com\/blog\/track-brand-mentions-ai-search-complete-strategy-guide\/\">tracking brand mentions in AI search<\/a>.<\/p>\n<p><strong>Entity Recognition Signals<\/strong><\/p>\n<p>Monitor how AI systems understand and categorize your business entity. This includes tracking which topics and keywords AI engines associate with your brand, how often you appear alongside competitors, and whether AI systems recognize your expertise areas.<\/p>\n<p>Use tools like Google Search Console to monitor branded search growth, as this often correlates with improved entity recognition. Branded searches increased 74% for AeroChat after implementing AI-optimized link building strategies.<\/p>\n<p><strong>Topical Authority Development<\/strong><\/p>\n<p>Measure your content&#8217;s performance across related topic clusters rather than individual keywords. AI systems evaluate topical authority holistically, so track rankings and citations across your entire expertise area.<\/p>\n<p>Create content hubs around core topics and monitor how backlinks to different pieces within each hub contribute to overall topical authority. This provides insights into which link building approaches most effectively build AI search visibility.<\/p>\n<p><strong>Citation Quality Assessment<\/strong><\/p>\n<p>Evaluate the context and quality of sites linking to your content. High-quality citations from relevant sources carry more weight than numerous low-quality links from irrelevant sites.<\/p>\n<p>Analyze the content surrounding your backlinks to ensure they provide appropriate context and support your entity positioning. Links that clearly communicate your expertise and value proposition contribute more to AI search visibility.<\/p>\n<p>Here&#8217;s the KPI framework I use for clients:<\/p>\n<ul>\n<li>AI search result appearances (monthly count)<\/li>\n<li>Branded search volume growth<\/li>\n<li>Entity mention frequency in AI responses<\/li>\n<li>Topic association accuracy in AI systems<\/li>\n<li>Citation context quality scores<\/li>\n<li>Referral traffic from AI-cited sources<\/li>\n<li>Content engagement from AI-driven visits<\/li>\n<li>Cross-platform AI visibility consistency<\/li>\n<\/ul>\n<h2>Future-Proofing Your Link Building Strategy as AI Search Evolves<\/h2>\n<p>The AI search landscape will continue evolving rapidly through 2026 and beyond. Building a sustainable link strategy requires understanding these trends and positioning your approach to adapt as AI systems become more sophisticated.<\/p>\n<p><strong>Anticipated Platform Changes<\/strong><\/p>\n<p>Major AI search platforms are moving toward more sophisticated source evaluation and real-time information processing. This means link building strategies must focus on maintaining consistently high-quality, accurate content rather than one-time optimization efforts.<\/p>\n<p>Google&#8217;s SGE continues expanding its citation sources and improving context understanding. ChatGPT and other AI platforms are developing better methods for verifying information accuracy and source credibility. These changes favor sustainable, expertise-based approaches over tactical manipulation.<\/p>\n<p><strong>Sustainable Link Acquisition Processes<\/strong><\/p>\n<p>Build systems that generate ongoing citations rather than relying on periodic outreach campaigns. This means creating content frameworks that consistently produce citable resources and establishing relationships that generate natural citation opportunities.<\/p>\n<p>Focus on becoming a primary source in your niche rather than accumulating secondary citations. AI systems increasingly prioritize original information and first-hand expertise over aggregated or republished content.<\/p>\n<p><strong>Obsolete Traditional Tactics<\/strong><\/p>\n<p>Several traditional SEO link building tactics are becoming counterproductive in the AI search era:<\/p>\n<ul>\n<li>Generic directory submissions with weak topical relevance<\/li>\n<li>Exact-match anchor text optimization for keyword rankings<\/li>\n<li>Link exchanges based solely on domain authority metrics<\/li>\n<li>Guest posting without genuine expertise or value contribution<\/li>\n<li>Automated outreach campaigns with templated messaging<\/li>\n<li>Link building focused on quantity over contextual relevance<\/li>\n<li>Citation acquisition without considering entity positioning<\/li>\n<\/ul>\n<p><strong>Building Adaptive Frameworks<\/strong><\/p>\n<p>Create link building processes that evolve with AI search developments. This means focusing on fundamental principles\u2014expertise, accuracy, relevance, and value\u2014rather than platform-specific tactics that may become obsolete.<\/p>\n<p>The methodology I outline in <a href=\"https:\/\/alvachew.gumroad.com\/l\/google-ai-overview-playbook\" target=\"_blank\" rel=\"noopener\">my step-by-step guide<\/a> provides frameworks that adapt to algorithm changes because they&#8217;re based on how AI systems fundamentally evaluate information quality and source credibility.<\/p>\n<p><strong>Timeline for Evolution<\/strong><\/p>\n<p>Based on current AI development patterns, expect significant changes in how AI search engines handle backlinks:<\/p>\n<ul>\n<li><strong>Q2 2026<\/strong>: Enhanced real-time source verification and fact-checking<\/li>\n<li><strong>Q3 2026<\/strong>: Improved context understanding and semantic relationship analysis<\/li>\n<li><strong>Q4 2026<\/strong>: More sophisticated entity recognition and expertise assessment<\/li>\n<li><strong>2027<\/strong>: Integration of user feedback loops to improve source quality evaluation<\/li>\n<\/ul>\n<p>The key insight from my 24 years in SEO is that successful strategies focus on fundamental value creation rather than algorithmic manipulation. As we&#8217;ve seen with the transition from <a href=\"https:\/\/www.stridec.com\/blog\/from-traditional-seo-to-ai-first-perspective\/\">traditional SEO to AI-first approaches<\/a>, the businesses that adapt earliest and most comprehensively gain sustainable competitive advantages.<\/p>\n<p>Building backlinks for AI search in 2026 requires understanding that AI systems evaluate links through semantic context, topical relevance, and source credibility rather than traditional metrics. The businesses that recognize this shift and adapt their strategies accordingly will build sustainable competitive moats that become progressively harder for competitors to replicate.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<div itemscope itemtype=\"https:\/\/schema.org\/FAQPage\">\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">Do backlinks still matter as much for AI search engines compared to traditional SEO?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">Backlinks remain important for AI search engines, but their evaluation criteria have fundamentally changed. AI systems prioritize contextual relevance and topical authority over traditional metrics like domain authority scores. A single high-quality citation from a topically relevant source now carries more weight than multiple links from generic high-DA sites. The focus has shifted from link quantity to citation quality and semantic context.<\/p>\n<\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">How can I identify which sources AI search engines trust most?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">Monitor which sources consistently appear in AI search results for queries in your industry. Academic institutions, established industry publications, government sources, and recognized expert networks typically carry the most weight. Track citations in ChatGPT responses, Google SGE results, and Perplexity answers to identify patterns. Sources that maintain editorial standards, publish original research, and demonstrate clear expertise in specific topics earn the most AI citations.<\/p>\n<\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">What&#8217;s the biggest mistake businesses make when building backlinks for AI search?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">The biggest mistake is continuing to use traditional SEO tactics focused on domain authority and link quantity. Businesses often pursue high-DA links without considering topical relevance or citation context. AI systems recognize these mismatched citations and assign them minimal weight. Instead, focus on becoming a primary source in your niche through original research, expert insights, and comprehensive resources that naturally earn contextually relevant citations.<\/p>\n<\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">How long does it take to see results from AI-optimized link building?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">AI search engines process and evaluate new citations faster than traditional search algorithms, but building meaningful topical authority takes 3-6 months of consistent effort. You&#8217;ll typically see initial entity recognition improvements within 4-8 weeks, with significant AI visibility gains appearing after 3-4 months. The key is maintaining consistent quality and relevance rather than expecting immediate results from individual link placements.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The backlink landscape has fundamentally shifted in 2026. While traditional SEO focused on accumulating links for PageRank authority, AI search engines like ChatGPT, Google&#8217;s SGE,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":852,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-853","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-seo"],"_links":{"self":[{"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/posts\/853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/comments?post=853"}],"version-history":[{"count":0,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/posts\/853\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/media\/852"}],"wp:attachment":[{"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/media?parent=853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/categories?post=853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.stridec.com\/blog\/wp-json\/wp\/v2\/tags?post=853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}