{"id":749,"date":"2025-12-16T12:57:55","date_gmt":"2025-12-16T12:57:55","guid":{"rendered":"https:\/\/maulikmasrani.com\/blog\/?p=749"},"modified":"2026-01-29T17:58:24","modified_gmt":"2026-01-29T12:28:24","slug":"how-ai-uses-social-media-signals-to-rank-brands","status":"publish","type":"post","link":"https:\/\/maulikmasrani.com\/blog\/how-ai-uses-social-media-signals-to-rank-brands\/","title":{"rendered":"How AI Uses Social Media Signals to Rank Brands"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"749\" class=\"elementor elementor-749\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7dd9c1f3 e-flex e-con-boxed e-con e-parent\" data-id=\"7dd9c1f3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-247ca046 elementor-widget elementor-widget-text-editor\" data-id=\"247ca046\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">AI systems, especially LLMs like ChatGPT, Gemini, Claude and Perplexity are increasingly relying on social signals AIO inputs to understand which brands people trust, mention and engage with.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Modern ranking models scan platforms like LinkedIn, Reddit, YouTube and X to read engagement patterns, sentiment, and authority markers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These signals contribute to an \u201cAI social trust graph\u201d that shapes a brand\u2019s visibility in AI-generated answers. If your brand sparks conversations, earns positive sentiment, shows up in expert discussions, and builds consistent social proof, AI engines begin ranking it higher, often faster than traditional SEO.<\/span><\/p>\n<h2><b>How AI Uses Social Media Signals<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI search is shifting from URL-based evaluation to <\/span><a href=\"https:\/\/www.ibm.com\/think\/topics\/ueba\"><b>entity-based and behavior-based evaluation<\/b><\/a><span style=\"font-weight: 400;\">. That means brands are no longer ranked solely by links or keywords they are ranked by <\/span><b>how people talk about them online<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Generative engines trained on public data (LinkedIn posts, Reddit threads, Meta datasets, open social content) scan millions of interactions to determine:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Which brands do people trust<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What conversations do they dominate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How consistently are they mentioned<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How users emotionally react to them<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This behavioral dataset powers what many researchers now call the <\/span><b>AI social trust graph<\/b><span style=\"font-weight: 400;\"> a map of brands, entities and people connected through social proof.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">External references:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Meta AI Papers analyzing public engagement patterns<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reddit\/<\/span><a href=\"https:\/\/www.reddit.com\/r\/LocalLLaMA\/comments\/1cg2ce7\/llm_datasets_a_curated_list_of_datasets_for\/\"><b>LLM datasets<\/b><\/a><span style=\"font-weight: 400;\"> used in training conversational models<\/span><\/li>\n<\/ul>\n<h2><b>What Social Signals LLMs Read<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">LLMs process social data differently from Google\u2019s crawler-style SEO systems. Instead of evaluating HTML, they extract <\/span><b>semantic, behavioral and sentiment-based patterns<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Below are the social ranking signals most LLMs read:<\/span><\/p>\n<h3><b>1. Brand Mentions Across Public Platforms<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">LLMs detect when brand names appear repeatedly on:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LinkedIn posts and comments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reddit subreddits<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Product threads<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Industry discussions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Public reviews<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The more frequently and contextually a brand is mentioned, the stronger the <\/span><a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/ai-services\/language-service\/custom-named-entity-recognition\/concepts\/evaluation-metrics\"><b>entity confidence signal<\/b><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3><b>2. Author\/Poster Credibility<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI weighs mentions differently based on:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Account history<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Topic expertise<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Community authority (e.g., Reddit karma, LinkedIn influence)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A mention from a reputable expert \u2260 a mention from a random account.<\/span><\/p>\n<h3><b>3. Conversation Context<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI reads the <\/span><i><span style=\"font-weight: 400;\">meaning<\/span><\/i><span style=\"font-weight: 400;\"> of conversations:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Problem-solving discussions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recommendations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Industry analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Customer feedback loops<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This is where social signals <\/span><a href=\"https:\/\/maulikmasrani.com\/blog\/aeo-geo-and-aio-explained-how-ai-is-redefining-content-visibility-beyond-seo\/\"><b>AIO<\/b><\/a><span style=\"font-weight: 400;\"> becomes a powerful brand that fits naturally into problem-solving contexts, ranking higher.<\/span><\/p>\n<h3><b>4. Content Velocity<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Sudden spikes in social conversations tell AI that a brand is \u201ctrending,\u201d which increases visibility.<\/span><\/p>\n<h2><b>Role of Engagement (Comments, Saves, Shares)<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Engagement is one of the strongest <\/span><b>social ranking<\/b><span style=\"font-weight: 400;\"> signals for AI because it represents <\/span><i><span style=\"font-weight: 400;\">validation from real users<\/span><\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">LLMs analyze:<\/span><\/p>\n<h3><b>1. Comments \u2192 Depth of Conversation<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A post with 150+ comments about a product teaches AI that people actively care.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">LLMs break down:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Question types<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pain points<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recommendations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Arguments<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This shapes a brand\u2019s \u201ctopic relevance score.\u201d<\/span><\/p>\n<h3><b>2. Saves \u2192 Long-Term Value Signal<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Platforms like LinkedIn and Instagram treat saves as a sign of expert-level content.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI models interpret saves as:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cUsers found this valuable enough to revisit, so this brand may be credible in its category.\u201d<\/span><\/p>\n<h3><b>3. Shares \u2192 Social Trust Propagation<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Sharing demonstrates trust.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">A brand with high share rates signals:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Community endorsement<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Solution-level authority<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">High domain relevance<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Shares contribute heavily to the <\/span><a href=\"https:\/\/www.pewresearch.org\/science\/2025\/09\/17\/how-americans-view-ai-and-its-impact-on-people-and-society\/\"><b>AI social trust graph<\/b><\/a><span style=\"font-weight: 400;\">, reinforcing the brand\u2019s footprint.<\/span><\/p>\n<h2><b>How AI Evaluates Sentiment &amp; Authority<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Sentiment is no longer a surface-level \u201cpositive vs negative\u201d score.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Modern <\/span><a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/ai-services\/language-service\/sentiment-opinion-mining\/overview\"><b>AI sentiment<\/b><\/a><span style=\"font-weight: 400;\"> engines evaluate:<\/span><\/p>\n<h3><b>1. Emotional Tone<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Confidence<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Frustration<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Urgency<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Curiosity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Satisfaction<\/span><\/li>\n<\/ul>\n<h3><b>2. Intensity<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u201cExcited\u201d sentiment impacts rankings differently from \u201cslightly positive.\u201d<\/span><\/p>\n<h3><b>3. Narrative Patterns<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">LLMs follow how users talk about a brand over time:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Does the brand solve problems?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Do customers recommend it?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Are industry experts referencing it?<\/span><\/li>\n<\/ul>\n<h3><b>4. Reputation Trajectory<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI models track reputation shifts:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Consistent praise \u2192 authority score increases<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Repeated complaints \u2192 reliability score decreases<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This is similar to traditional <\/span><b>social proof SEO<\/b><span style=\"font-weight: 400;\"> but applied at an LLM scale.<\/span><\/p>\n<h2><b>Real Examples of Brand Visibility Shifts<\/b><\/h2>\n<h3><b>LinkedIn Example<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A SaaS company generated a viral carousel breaking down a new industry framework.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Engagement reached:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">900+ comments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">3,000+ shares<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">15,000+ saves<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Within 30 days:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/chatgpt.com\/\"><b>ChatGPT<\/b><\/a><span style=\"font-weight: 400;\"> began referencing the brand in related industry queries.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"http:\/\/gemini.google.com\/\"><b>Gemini<\/b><\/a><span style=\"font-weight: 400;\"> started listing it as an example in thought-leadership prompts.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Why?<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Its AI social trust graph spiked.<\/span><\/p>\n<h3><b>Reddit Example<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A mid-sized ecommerce brand received dozens of organic mentions in r\/BuyItForLife and r\/Frugal.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> These mentions triggered:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LLM recognition<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Higher entity confidence<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More contextual recall in product recommendation prompts<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This is how <\/span><b>generative engines learn brand authority<\/b><span style=\"font-weight: 400;\">, even without traditional SEO content.<\/span><\/p>\n<h2><b>How to Improve Brand Social Signals for AIO<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Here\u2019s how brands can intentionally improve their social signals AIO footprint.<\/span><\/p>\n<h3><b>1. Publish High-Authority LinkedIn Content Weekly<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Thought-leadership content on LinkedIn is heavily used in <\/span><a href=\"https:\/\/www.ibm.com\/think\/topics\/large-language-models\"><b>LLM<\/b><\/a><span style=\"font-weight: 400;\"> training datasets.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Focus on:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Problem-solving breakdowns<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Frameworks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Industry insights<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Case studies<\/span><\/li>\n<\/ul>\n<h3><b>2. Seed Authentic Reddit Discussions<\/b><\/h3>\n<p><b>Reddit<\/b><span style=\"font-weight: 400;\"> data is deeply embedded in LLM training.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Ethically encourage:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Honest product reviews<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Q&amp;A participation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Value-driven conversations<\/span><\/li>\n<\/ul>\n<h3><b>3. Create Save-worthy Content<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI treats \u201csave actions\u201d as evidence of expertise.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> Use formats like:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Templates<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Frameworks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Step-by-step breakdowns<\/span><\/li>\n<\/ul>\n<h3><b>4. Respond to Comments Publicly<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Your replies become training data boosting sentiment, authority and entity clarity.<\/span><\/p>\n<h3><b>5. Encourage UGC &amp; Social Proof<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">UGC signals authenticity, which strengthens <\/span><i><span style=\"font-weight: 400;\">AI social trust graphs<\/span><\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3><b>6. Maintain Consistency Across Platforms<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AIO strengthens when:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Messaging is consistent<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Brand claims match<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tone is uniform<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Entity references align<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Consistency teaches AI how to classify your brand across contexts.<\/span><\/p>\n<h2><b>FAQs<\/b><\/h2>\n<h3><b>1. Do likes matter for AI?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Indirectly, yes. AI doesn\u2019t rank content by likes alone, but high engagement likes, comments and shares signal trust and relevance that influence AIO visibility.<\/span><\/p>\n<h3><b>2. Can social media improve AIO?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Absolutely. Social platforms supply sentiment, authority and conversational data that LLMs use to evaluate brand credibility and rank entities.<\/span><\/p>\n<h3><b>3. Do LLMs use Reddit and LinkedIn data to understand brand authority?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Yes. Public Reddit threads and LinkedIn discussions help LLMs detect real-world sentiment, expertise signals and contextual brand mentions that influence AIO visibility.<\/span><\/p>\n<h3><b>4. What\u2019s the AI social trust graph and why does it matter?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The AI social trust graph is the network of brand mentions, conversations and engagement patterns across social platforms. AI uses it to decide which brands appear trustworthy and deserve higher ranking in generative answers.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI systems, especially LLMs like ChatGPT, Gemini, Claude and Perplexity are increasingly relying on social signals AIO inputs to understand which brands people trust, mention and engage with.\u00a0 Modern ranking models scan platforms like LinkedIn, Reddit, YouTube and X to read engagement patterns, sentiment, and authority markers.\u00a0 These signals contribute to an \u201cAI social trust [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":752,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-749","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-category"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/posts\/749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/comments?post=749"}],"version-history":[{"count":10,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/posts\/749\/revisions"}],"predecessor-version":[{"id":761,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/posts\/749\/revisions\/761"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/media\/752"}],"wp:attachment":[{"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/media?parent=749"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/categories?post=749"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/maulikmasrani.com\/blog\/wp-json\/wp\/v2\/tags?post=749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}