{"id":457,"date":"2026-09-07T05:01:10","date_gmt":"2026-09-07T05:01:10","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/how-generative-engine-optimization-works"},"modified":"2026-09-07T05:01:10","modified_gmt":"2026-09-07T05:01:10","slug":"how-generative-engine-optimization-works","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/how-generative-engine-optimization-works","title":{"rendered":"How Generative Engine Optimization Works: Get Cited by AI"},"content":{"rendered":"<p><em>Written by: Arjun Karnik, Growth Marketing Specialist<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Generative engine optimization (GEO) targets AI citations inside machine-generated answers rather than traditional search rankings, as buyers increasingly rely on AI chatbots for vendor research.<\/li>\n<li>AI engines use a four-stage retrieval pipeline of query fan-out, retrieval, chunk extraction, and synthesis, where only about 15% of retrieved pages earn citations, often from the first 30% of a page.<\/li>\n<li>Effective GEO strategies include aligning content with buyer language, structuring sections for machine extraction, building topical authority through comprehensive coverage, and maintaining weekly content freshness.<\/li>\n<li>GEO complements SEO. Strong technical fundamentals remain essential, and success now depends on continuous updates and matching hidden fan-out queries rather than backlinks alone.<\/li>\n<li>Businesses ready to get cited by AI can <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>book a demo with Arjun Karnik<\/strong><\/a> to see how his test lab and AI Growth Agent system deliver measurable citation results.<\/li>\n<\/ul>\n<h2>How AI Engines Work: The Retrieval Pipeline<\/h2>\n<p>Most businesses assume GEO is SEO with a new coat of paint, but the retrieval mechanics are structurally different. You need a clear picture of how AI engines retrieve and cite content before you can influence them.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472409902-31baebe3e87f.png\" alt=\"Bar chart showing the share of B2B software buyers who start research with an AI chatbot more often than Google, rising from 29 percent in April 2025 to 51 percent in March 2026. Source: G2, 1,076 B2B software buyers and decision-makers.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>In under a year the starting point for B2B software research crossed over. More buyers now begin with a chatbot than with Google.<\/em><\/figcaption><\/figure>\n<h3>Stage 1: Query Interpretation And Fan-Out Generation<\/h3>\n<p>A single buyer prompt triggers dozens of hidden retrieval queries. When a user asks ChatGPT \u201cbest CRM for small business,\u201d the system does not run one search. <a href=\"https:\/\/ahrefs.com\/blog\/retrieval-augmented-generation\/\" target=\"_blank\" rel=\"noindex nofollow\">It fans out into multiple sub-queries, such as \u201cCRM for startups pricing,\u201d \u201cCRM with email marketing,\u201d and \u201csmall business CRM comparison.\u201d The AI combines and re-ranks results across all sub-queries before assembling an answer<\/a>. This fan-out mechanic determines which content gets retrieved. Content that only targets the visible prompt ignores the real retrieval surface.<\/p>\n<h3>Stage 2: Retrieval<\/h3>\n<p>The AI engine runs these fan-out queries against search indexes. <a href=\"https:\/\/webintellitech.com\/2026\/06\/02\/how-chatgpt-finds-website-answers\/\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT uses Microsoft Bing as its search backbone<\/a>, while Google\u2019s Gemini and AI Overviews use Google Search. <a href=\"https:\/\/operatoriq.io\/blog\/google-gemini-b2b-saas-visibility\/\" target=\"_blank\" rel=\"noindex nofollow\">Perplexity performs live retrieval for every query using Bing\u2019s index<\/a>. The engine retrieves candidate pages based on relevance, authority, recency, and diversity of perspective.<\/p>\n<h3>Stage 3: Content Extraction And Chunking<\/h3>\n<p>AI engines do not read entire pages. <a href=\"https:\/\/ahrefs.com\/blog\/retrieval-augmented-generation\/\" target=\"_blank\" rel=\"noindex nofollow\">Web content is broken into chunks, converted to embeddings, and matched against the query semantically, and a study of 1.2 million ChatGPT citations by Kevin Indig found that the first 30% of a page generates 44.2% of all citations<\/a>. The engine extracts specific passages, usually the most relevant paragraphs appearing immediately below a matching heading. <a href=\"https:\/\/geotoolbox.ai\/blog\/how-chatgpt-search-works\/\" target=\"_blank\" rel=\"noindex nofollow\">A \u201csliding window\u201d strips design and scripts and pulls short passages of plain text, so the earliest windows capture the top of a page\u2019s content<\/a>.<\/p>\n<h3>Stage 4: Synthesis And Citation<\/h3>\n<p><a href=\"https:\/\/mentionsapi.com\/blog\/how-chatgpt-search-works\/\" target=\"_blank\" rel=\"noindex nofollow\">Only about 15% of the pages ChatGPT retrieves for a query earn a citation, and the rest are read and discarded. ChatGPT does not cite the best page; it cites the page it can most confidently extract and attribute a specific claim from.<\/a> The engine synthesizes an answer from the two to five strongest sources and attaches citations to specific claims. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">80% of LLM citations do not rank in Google\u2019s top 100 for the original query<\/a>. A page can dominate Google and still go uncited in AI answers.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472329589-66792c0ee7e9.png\" alt=\"SERP analysis panel on the ChatGPT tab, showing ChatGPT&apos;s answer to the query how does ai powered search work, the web search it ran to build that answer, and the cited source attached to its opening claim.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>The same question asked of ChatGPT, including the search it ran to answer it. Two surfaces, two answers, one query.<\/em><\/figcaption><\/figure>\n<h2>Core GEO Strategies: How To Get Cited By AI Engines<\/h2>\n<h3>Strategy 1: Align Content With Buyer Language, Not Industry Jargon<\/h3>\n<p>AI engines match questions to answers using the words buyers actually use. In Arjun\u2019s tests on his own site, relabeling a page from \u201cWhat Is GEO\u201d to \u201cHow To Get Your Business Recommended By AI Search,\u201d and realigning the slug, title, H1, and H2s to buyer questions, produced citations within weeks. Jargon blocks retrieval at the exact moment the machine is matching a question to an answer. <a href=\"https:\/\/ahrefs.com\/blog\/retrieval-augmented-generation\/\" target=\"_blank\" rel=\"noindex nofollow\">A study of 1.4 million ChatGPT prompts found that cited pages have titles more semantically similar to ChatGPT\u2019s internal fan-out queries than pages that were passed over<\/a>.<\/p>\n<h3>Strategy 2: Structure Content For Machine Extraction<\/h3>\n<p>AI engines retrieve passages, not pages, so each section should open with a direct answer in 40\u201360 words. Follow that answer with supporting explanation and detail. <a href=\"https:\/\/ahrefs.com\/blog\/retrieval-augmented-generation\/\" target=\"_blank\" rel=\"noindex nofollow\">Content structured as question followed by immediate answer is cited twice as often as content that does not follow this convention (18% vs. 8.9%)<\/a>. To support this, use question-based H2s that mirror natural query language, format comparisons as tables, and present processes as numbered lists. Schema markup such as Article, FAQPage, and HowTo further reinforces machine readability. In Arjun\u2019s tests on his own site, pages rewritten to match extracted ChatGPT fan-out queries earned citations, while control pages did not.<\/p>\n<h3>Strategy 3: Build Topical Authority Through Coverage, Not Backlinks<\/h3>\n<p>GEO authority comes from comprehensive coverage of a topic area, with pillars and clusters that answer every question in the fan-out space. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics improves AI citation visibility by around 31\u201333% and adding quotations by around 41\u201343%, according to the Princeton GEO study (Aggarwal et al., KDD 2024)<\/a>. This dynamic levels the playing field for challengers. A competitor with a decade of domain authority but a stale library loses to a challenger that publishes and refreshes content on a consistent cadence.<\/p>\n<h3>Strategy 4: Maintain Freshness To Stay In The Citation Set<\/h3>\n<p>AI engines favor recently updated content. In Arjun\u2019s own decay tracking on his site, pages dropped 78% to 99% in two months without updates. Seer Interactive\u2019s analysis of 47,097 AI citations across 7,683 pages between March and June 2026 found that 75% of cited pages had been updated within the last year, with consistently cited pages averaging under six months since their last update. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Approximately 50% of sources cited for a given prompt will change within 13 weeks<\/a>. The page you refreshed usually beats the page you wrote and left untouched.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472438102-dfd59b5fabac.png\" alt=\"Bar chart showing 75 percent of pages cited by AI assistants were updated within the last year and 25 percent were older. Source: Seer Interactive, July 2026, 7,683 pages and 47,097 citations across ChatGPT, Gemini and Perplexity.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Three quarters of cited pages were updated inside a year, and the consistently cited ones averaged under six months. The page you refresh beats the page you write.<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Book A Demo To See How This Freshness System Can Keep Your Business Cited By AI.<\/strong><\/a><\/p>\n<h2>GEO vs. SEO: What Actually Changes<\/h2>\n<p>The strategies above shift how you think about visibility, so it helps to see GEO and SEO side by side. The table below summarizes the key differences.<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>SEO<\/th>\n<th>GEO<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Optimizes For<\/td>\n<td>Human-ranked lists and domain authority<\/td>\n<td>Machine retrieval and citation<\/td>\n<\/tr>\n<tr>\n<td>Query Model<\/td>\n<td>The query the buyer typed<\/td>\n<td>Dozens of hidden fan-out queries triggered by one prompt<\/td>\n<\/tr>\n<tr>\n<td>Success Metric<\/td>\n<td>Rankings, click-through rate<\/td>\n<td>Citations, mentions, share of voice<\/td>\n<\/tr>\n<tr>\n<td>Authority Source<\/td>\n<td>Backlinks and domain authority<\/td>\n<td>Expert topical coverage<\/td>\n<\/tr>\n<tr>\n<td>What Sustains A Win<\/td>\n<td>Accumulated domain authority<\/td>\n<td>Continuous freshness<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>SEO still matters, but its role is evolving. Technical fundamentals, structure, and quality content serve both surfaces. <a href=\"https:\/\/aisearch.similarweb.com\/blog\/what-is-geo\/\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s AI Mode and Bing AI draw exclusively from their respective search indexes, so if a page does not rank in Google, it will not be cited in Google AI Mode. Traditional rankings remain the entry fee to AI citation<\/a>. On Arjun\u2019s site, articles reached thousands of monthly Google impressions within weeks, and the GEO subfolder became the only source of new impressions on the domain in 60 days. GEO extends SEO rather than replacing it.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472591777-ce2b4433381a.png\" alt=\"Bar chart comparing correlation with AI Overview visibility, branded search volume at 0.392 against backlinks at 0.218. Source: Ahrefs study of 75,000 brands.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Branded search correlates with AI Overview visibility almost twice as strongly as backlinks do. The authority model that governed SEO is not the one governing this.<\/em><\/figcaption><\/figure>\n<h2>How To Measure GEO Success<\/h2>\n<p>Measurement starts with visibility inside AI answers. Track citations, mentions, and share of voice across ChatGPT, Google AI Overviews, Perplexity, and Gemini. Monitor AI referrers such as chatgpt.com in analytics as a distinct traffic class. <a href=\"https:\/\/axis-intelligence.com\/geo-statistics\/\" target=\"_blank\" rel=\"noindex nofollow\">Similarweb data from April\u2013May 2026 shows ChatGPT referral traffic converts at 7.1%, second only to paid search at 7.8% and ahead of organic search at 5%<\/a>, because AI-referred visitors arrive already pre-qualified. Use Google Search Console to watch impression and decay curves.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472105191-afa856c56ce7.png\" alt=\"Content planner filtered to Google AI Overviews, showing share-of-voice chips across competing domains, a summary row of searches tracked, AI Overviews, mentions, mention rate and average position, and topic cards listing search volume, pages published and mention rate.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>The question space as a working queue. Every tracked topic carries its search volume, how many pages have been published against it, and the mention rate that resulted.<\/em><\/figcaption><\/figure>\n<p>Attribution has limits, because buyers frequently copy an answer and paste a name into a browser, which shows up as direct traffic and never gets credited to AI. Whatever you measure is a floor, not a ceiling. With measurement in mind, Arjun Karnik\u2019s test lab provides a dashboard for this via AI Growth Agent (partnership disclosed), tracking citations and share of answer across all four surfaces.<\/p>\n<h2>Common Misconceptions About GEO<\/h2>\n<h3>Misconception 1: \u201cAI-Generated Content Will Be Penalized By Google\u201d<\/h3>\n<p>Google penalizes low-quality content and has done so for years. Relevant, structured, fresh, specific content wins regardless of how you produce it. The production method matters less than quality, structure, and freshness.<\/p>\n<h3>Misconception 2: \u201cIt\u2019s Too Early To Invest In GEO\u201d<\/h3>\n<p>Answers gain incumbency, and once a model has a settled answer for a category, that answer tends to stick. Early citations become tomorrow\u2019s record. This pattern mirrors the early SEO window, where a short period of decoding the new layer produced outsized returns, followed by a long period of paying to catch up. The window for outsized GEO gains is open now.<\/p>\n<h3>Misconception 3: \u201cGEO Replaces SEO\u201d<\/h3>\n<p><a href=\"https:\/\/thehoth.com\/blog\/generative-engine-optimization\/\" target=\"_blank\" rel=\"noindex nofollow\">A study by Originality.ai found that 48% of AI citations come from the top 100 organic results<\/a>. This means nearly half of AI sources already rank well in traditional search. The two disciplines are complementary. Strong technical SEO, genuine authority, and well-structured content remain the foundation, and GEO builds on that base.<\/p>\n<h2>Getting Started With GEO: A Step-By-Step Playbook<\/h2>\n<ol>\n<li><strong>Run A Visibility Audit.<\/strong> Baseline where you currently appear in AI answers across ChatGPT, Google AI Overviews, Perplexity, and Gemini. Capture where competitors appear instead.<\/li>\n<li><strong>Fix Technical Plumbing.<\/strong> Unblock AI crawlers such as OAI-SearchBot, GPTBot, Google-Extended, and PerplexityBot, add schema markup, and ensure pages are machine-parseable. <a href=\"https:\/\/geotoolbox.ai\/blog\/how-chatgpt-search-works\/\" target=\"_blank\" rel=\"noindex nofollow\">If OAI-SearchBot is blocked in robots.txt, or content only renders after JavaScript, the crawler will not run and the page is not eligible to be cited regardless of content quality<\/a>. If the retrieval layer cannot read your site, nothing downstream matters.<\/li>\n<li><strong>Map Fan-Out Queries.<\/strong> Use ChatGPT to extract the actual questions behind buyer prompts. Rely on the machine you are optimizing for rather than inferring from keyword tools.<\/li>\n<li><strong>Publish Structured, Buyer-Language Content.<\/strong> Align URLs, titles, H1s, and H2s to the mapped question language. Publish at a consistent cadence. Arjun\u2019s system runs 5 to 8 autonomous actions per day via AI Growth Agent (partnership disclosed).<\/li>\n<li><strong>Set Up A Freshness Loop.<\/strong> Install impression-decay tripwires that auto-queue updates when performance drops. Content that repairs itself outperforms content that waits for a quarterly audit.<\/li>\n<li><strong>Measure Citations And Share Of Voice.<\/strong> Track which pages earn citations and feed those wins back into production so the system doubles down on what works.<\/li>\n<\/ol>\n<p>This is the exact system Arjun Karnik runs on his own site, and the results are public. Ask an AI assistant about GEO and see who gets cited.<\/p>\n<h2>Conclusion: Act While The GEO Window Is Still Open<\/h2>\n<p>GEO success comes from understanding fan-out queries, structuring content for machine readability, building topical authority through comprehensive coverage, and keeping content fresh. Buyers have shifted from searching to asking, and businesses that appear as cited answers capture that demand.<\/p>\n<p>Arjun Karnik\u2019s public test lab provides both proof and playbook, with documented results and misses included. The method is self-verifying. Ask an AI assistant about GEO and see who gets cited, then decide how quickly you want your brand in that answer set.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Ready To Get Your Business Recommended By AI Search? Book A Demo With Arjun Karnik Today.<\/strong><\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What Is The Difference Between GEO And SEO?<\/h3>\n<p>Traditional SEO focuses on a ranked position on a search results page, while GEO focuses on citation inside a machine-generated answer. The retrieval mechanics differ, because SEO targets the query the buyer typed, and GEO must account for dozens of hidden fan-out queries triggered by a single prompt. Authority in SEO is built through backlinks and domain metrics. In GEO, authority grows through comprehensive topical coverage. Success in SEO is measured by rankings and click-through rate. In GEO, success is measured by citations, brand mentions, and share of voice across AI platforms. The two disciplines are complementary, and strong technical SEO remains the foundation that GEO builds on.<\/p>\n<h3>How Long Does It Take To See Results From GEO?<\/h3>\n<p>Coverage and impressions typically move within weeks, and citations in AI answers generally follow within one to three months. Compounding, where topical authority accumulates and citation share grows, tends to begin after month three. On Arjun\u2019s site, new articles reached thousands of monthly Google impressions within weeks of publication, and the GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days. These results reflect a specific system on a specific property. Individual outcomes depend on the starting point, the competitive landscape, and how consistently you maintain the freshness loop.<\/p>\n<h3>Do I Need To Stop Doing SEO To Invest In GEO?<\/h3>\n<p>You do not need to stop SEO to invest in GEO. The technical fundamentals, content quality standards, and structural requirements that underpin good SEO are the same signals AI retrieval systems use to evaluate and select sources. A page that is well-indexed, fast-loading, clearly structured, and topically authoritative performs better on both surfaces. What changes is the optimization target and the measurement framework. Content built for AI citation still earns Google impressions. The practical approach is to run both in parallel, treating SEO as the foundation and GEO as the additional layer that extends visibility into conversational AI platforms.<\/p>\n<h3>How Do I Measure Whether GEO Is Working?<\/h3>\n<p>The primary metrics are citations, brand mentions, and share of voice across ChatGPT, Google AI Overviews, Perplexity, and Gemini. In analytics, AI referrers such as chatgpt.com should be tracked as a distinct traffic class, because AI-referred visitors behave like referrals. They arrive pre-qualified and convert at higher rates than cold search traffic. Google Search Console remains the instrument for tracking impressions and decay curves. One important caveat applies to all of these metrics. Buyers frequently copy an AI answer and type a brand name directly into a browser, which registers as direct traffic and carries no attribution back to the AI answer that caused it. Every measurement of GEO performance is therefore a floor rather than a complete picture. The most useful response is to instrument for citations and share of answer instead of grading the channel on click metrics it no longer produces.<\/p>\n<h3>What Is A Fan-Out Query And Why Does It Matter For GEO?<\/h3>\n<p>A fan-out query is one of the multiple hidden sub-queries that an AI engine generates from a single user prompt before retrieving content. When a buyer asks \u201cwhat is the best project management software for agencies,\u201d the AI does not run one search. It fans out into related queries covering pricing, integrations, comparisons, use cases, and alternatives, then assembles an answer from the combined results. This mechanic matters for GEO because content optimized only for the visible prompt misses the real retrieval surface. The pages that earn citations match the language and structure of these hidden sub-queries, not just the head term. Mapping the full fan-out question space by extracting sub-queries directly from ChatGPT, instead of inferring them from keyword tools, is the step that separates GEO from rebranded SEO.<\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/optimizing-content-generative-engines\" target=\"_blank\">Generative Engine Optimization: GEO Strategies That Work<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/ai-marketing-generative-engine-optimization\" target=\"_blank\">Generative Engine Optimization: The 2026 GEO Guide<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/generative-engine-optimization-agency\" target=\"_blank\">Generative Engine Optimization Agency: Get Cited by AI<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/generative-engine-optimization-content-structure\" target=\"_blank\">GEO Content Structure: How to Get Cited by AI Engines<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/generative-engine-optimization-examples\" target=\"_blank\">GEO Examples: 8 Tactics That Turned Impressions to Citations<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn how GEO gets your content cited by AI engines in 2026. Strategies, measurement, and a step-by-step playbook from Arjun Karnik.<\/p>\n","protected":false},"author":118,"featured_media":456,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-457","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/comments?post=457"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/457\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/456"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=457"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=457"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}