{"id":214,"date":"2026-08-22T05:02:37","date_gmt":"2026-08-22T05:02:37","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/zero-click-search-statistics-2026"},"modified":"2026-08-22T05:02:37","modified_gmt":"2026-08-22T05:02:37","slug":"zero-click-search-statistics-2026","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/zero-click-search-statistics-2026","title":{"rendered":"Zero-Click Search Statistics and Trends in 2026"},"content":{"rendered":"<p><em>Written by: Arjun Karnik, Growth Marketing Specialist<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for 2026 Zero-Click Search<\/h2>\n<ul>\n<li>Zero-click searches now dominate U.S. Google results at 68.01% in early 2026, up 7.56 points since 2024, leaving the open web with fewer than three clicks per ten mobile searches.<\/li>\n<li>AI Overviews appear on 48% of results and cut click-through rates by 47%, with only 1% of users clicking links inside the summaries themselves.<\/li>\n<li>Clicks are now a floor metric, so brands must track share of voice, citation rate, brand sentiment, and prompt coverage across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/li>\n<li>Content freshness drives citations, with pages under 30 days old earning 3.2\u00d7 more mentions, while content older than 13 weeks rapidly loses visibility.<\/li>\n<li>Ready to see where your business stands in AI answers? <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">Run a visibility audit<\/a> with Arjun Karnik across the major AI engines.<\/li>\n<\/ul>\n<h2>AI Overviews as the Primary Driver of Zero-Click Growth<\/h2>\n<p><a href=\"https:\/\/omnibound.ai\/blog\/ai-seo-statistics\" target=\"_blank\" rel=\"noindex nofollow\">Pew Research Center tracked 68,879 real Google searches conducted by 900 U.S. adults in March 2025 and found that users clicked a traditional result only 8% of the time when an AI Overview was present, compared to 15% when no summary appeared<\/a>. That change represents a 47% relative reduction in click-through behavior from a single SERP feature.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472381682-fffc2026c81f.png\" alt=\"Bar chart comparing click-through rate on a traditional search result, 15 percent with no AI summary shown and 8 percent when an AI summary is shown. Source: Pew Research Center, July 2025, 900 US adults across 68,879 Google searches.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>The click roughly halves when an AI summary appears above the result. Pew also found only 1 percent of users clicked a link inside the summary itself.<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/omnibound.ai\/blog\/ai-seo-statistics\" target=\"_blank\" rel=\"noindex nofollow\">Only 1% of users clicked a link inside the AI Overview itself<\/a>. <a href=\"https:\/\/omnibound.ai\/blog\/ai-seo-statistics\" target=\"_blank\" rel=\"noindex nofollow\">Twenty-six percent ended their browsing session entirely after seeing an AI summary, compared to 16% without one<\/a>. The answer satisfied the intent. The session closed. No click was recorded anywhere.<\/p>\n<p><a href=\"https:\/\/serps.io\/blog\/zero-click-searches\" target=\"_blank\" rel=\"noindex nofollow\">A Semrush study of 69 million U.S. desktop search sessions found a 93% zero-click rate for Google AI Mode queries, with only 6\u20138% of sessions resulting in an external website visit<\/a>. A randomized field experiment by researchers Agarwal and Sen found a 39.8% decrease in organic clicks when AI Overviews are shown, with zero-click searches increasing by 34.5% when overviews were present. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Brand visibility in search now depends less on page position in ranked results and more on whether a brand is cited within AI-generated responses<\/a>.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">AI Overviews now appear in approximately 48% of Google search results as of 2026<\/a>. That prevalence, combined with the behavioral data above, makes AI Overviews the single largest driver of the zero-click trend currently measurable.<\/p>\n<h2>Why Clicks Now Act as a Floor Metric<\/h2>\n<p>Clicks now measure only one visible step in a buyer journey that no longer runs in a straight line. The 2026 path often runs AI answer, then brand search, then direct visit. The click that used to connect query to article disappears, yet the influence that used to travel through that click still shapes decisions.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472460824-bf9470f3f071.png\" alt=\"Line chart showing the scissors pattern over twelve months, with an impressions line rising while a clicks line falls away from it. Illustrative shape of the pattern, not data from a specific account.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Both lines start together. The content keeps getting read so impressions rise, the answer gets delivered on the results page so the click never happens. Most owners see only the falling line.<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/siteimprove.com\/blog\/aeo-attribution-challenge\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs&#8217; June 2025 analysis showed AI referrals made up just 0.5% of sessions yet drove 12.1% of signups, a 23-times gap between share of traffic and share of outcome<\/a>. Whatever a click-based dashboard reports now represents a floor, not a ceiling. The practical response is to instrument for citations and share of answer instead of grading a channel on the metric it no longer produces at scale.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472616931-9a13bc7984c5.png\" alt=\"Bar chart showing 2.5 percent of downstream brand visits after an AI mention carry a trackable referral parameter while 97.5 percent arrive untraceable. Source: Profound, analysis of more than 2 million AI conversations, January to June 2026.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Buyers read an answer, then type your name into a browser. That visit lands as direct or branded search, so whatever you measure here is a floor and never a ceiling.<\/em><\/figcaption><\/figure>\n<p>Four metrics now replace rank position as the headline measurement for this channel:<\/p>\n<ul>\n<li><strong>Share of voice:<\/strong> how often a brand appears across a defined prompt set versus competitors<\/li>\n<li><strong>Citation rate:<\/strong> the percentage of prompts where an AI response directly sources the brand&#8217;s content<\/li>\n<li><strong>Brand sentiment:<\/strong> whether AI responses represent the brand accurately<\/li>\n<li><strong>Prompt coverage:<\/strong> which buyer questions trigger a brand mention<\/li>\n<\/ul>\n<p>These metrics require different instrumentation than traditional SEO. <a href=\"https:\/\/siteimprove.com\/blog\/answer-engine-optimization-metrics\" target=\"_blank\" rel=\"noindex nofollow\">Traditional tools such as GA4, Search Console, and rank trackers cannot capture AI citations because AI search engines generate none of those signals when answering questions directly<\/a>. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Once the right measurement infrastructure is in place, competitive benchmarks become meaningful: a share of citation between 5% and 15% aggregate across major AI engines represents competitive performance for B2B brands in 2026, with 20% or above signaling category leadership<\/a>.<\/p>\n<p><strong>Ready to see where your business stands in AI answers? <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">Start your visibility audit<\/a> across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/strong><\/p>\n<h2>Three Forces Behind Rising Zero-Click Searches<\/h2>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Similarweb clickstream data shows the zero-click rate for Google searches reached 68.01% in January through April 2026, up from 60.45% in 2024, with only 276 out of every 1,000 Google searches resulting in a click to the open web<\/a>. Three forces compound that number simultaneously.<\/p>\n<p>First, AI Overviews prevalence. <a href=\"https:\/\/airestream.ai\/blog\/this-week-in-ai-search-wc-13-04-26\" target=\"_blank\" rel=\"noindex nofollow\">With AI Overviews appearing on nearly half of U.S. searches, their impact on click behavior compounds across the majority of search sessions<\/a>. <a href=\"https:\/\/searchengineland.com\/google-zero-click-searches-2026-study-479717\" target=\"_blank\" rel=\"noindex nofollow\">Click-through rates drop by nearly 60% when AI Overviews are present<\/a>.<\/p>\n<p>Second, the scale of AI-native search. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adobe data shows AI referral traffic to U.S. retail sites grew 138% year over year as of May 2026<\/a>. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">AI search engines like Perplexity now drive over 40% of B2B product-discovery interactions<\/a>.<\/p>\n<p>Third, the mobile gap. Mobile organic click rates have declined since 2024. Mobile accounts for the majority of searches, and mobile users are the least likely to click through to any external site.<\/p>\n<h2>How Content Freshness Shapes AI Citation Performance<\/h2>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Content freshness accounts for 40% of Perplexity&#8217;s ranking signal, and pages under 30 days old receive 3.2\u00d7 more citations than older content<\/a>. Longitudinal analysis across AI platforms shows that many cited sources stop receiving mentions after a few months.<\/p>\n<p><a href=\"https:\/\/authoritytech.io\/curated\/content-decay-ai-citation-playbook-2026\" target=\"_blank\" rel=\"noindex nofollow\">Seer Interactive analyzed 47,097 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity between March and June 2026 and 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>. The page refreshed most recently beats the page written most authoritatively when both cover the same topic.<\/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>In Arjun Karnik&#8217;s own decay tracking on his site, measured via Google Search Console, pages dropped 78% to 99% in two months without updates. That decay remains invisible until the position is already gone. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">The Semrush AI Visibility Study found that AI citations change 40 to 60% month over month<\/a>, which means a content library treated as a fixed asset is a content library in active decay.<\/p>\n<p><a href=\"https:\/\/axenorconsulting.com\/insights\/content-decay-ai-search-13-week-refresh\" target=\"_blank\" rel=\"noindex nofollow\">Content not refreshed in more than 13 weeks becomes progressively invisible to AI citation, even if it still ranks on Google, because AI retrieval systems weight recency heavily in citation selection<\/a>. The game resets weekly. Volume and cadence are not vanity metrics. They are the entry fee.<\/p>\n<p>Given this rapid decay cycle, traditional measurement approaches that treat content as a fixed asset no longer capture what actually happens to visibility.<\/p>\n<h2>Measurement Framework for a Zero-Click, AI-First World<\/h2>\n<p>The measurement framework for the zero-click era tracks four surfaces and three signal types. The four surfaces are ChatGPT, Google AI Overviews, Perplexity, and Gemini. The three signal types are citations, AI referrer traffic, and impression decay curves in Google Search Console.<\/p>\n<p>The framework operates in this sequence:<\/p>\n<ol>\n<li>Baseline current visibility across all four surfaces before publishing anything new.<\/li>\n<li>Track citation rate and share of voice prompt by prompt against named competitors.<\/li>\n<li>Segment chatgpt.com and equivalent referrers as a distinct traffic class in analytics, because <a href=\"https:\/\/similarweb.com\/blog\/marketing\/geo\/zero-click-marketing\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT-referred visitors to U.S. transactional sites spent an average of 15 minutes on site and viewed 12 pages per session, compared with Google&#8217;s 8 minutes and 9 pages<\/a>.<\/li>\n<li>Monitor impression decay curves in Search Console and queue updates when performance drops, before the position is lost.<\/li>\n<li>Feed citation wins back into production to double down on what earns mentions.<\/li>\n<\/ol>\n<p>Arjun runs this measurement loop via AI Growth Agent (a disclosed partnership) using impression-decay tripwires that auto-queue updates when performance drops. The library repairs itself instead of waiting for a quarterly audit.<\/p>\n<p><a href=\"https:\/\/siteimprove.com\/blog\/aeo-attribution-challenge\" target=\"_blank\" rel=\"noindex nofollow\">An industry survey of senior B2B marketing leaders found that 81% consider answer engine visibility a blind spot, while just 10% say they can connect it to revenue<\/a>. The gap between those two numbers is where the measurement framework operates. <strong><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">See citation tracking in action<\/a> and learn how share-of-answer measurement replaces click reporting in practice.<\/strong><\/p>\n<h2>What Arjun Karnik&#8217;s Test Lab Shows About Queries and Decay<\/h2>\n<p>The following results were measured on Arjun Karnik&#8217;s own site via Google Search Console and run via AI Growth Agent. They are findings from his test lab, not guarantees of outcomes for other properties.<\/p>\n<p>Fan-out query alignment produced the clearest result. Pages rewritten to match fan-out queries extracted directly from ChatGPT earned citations. Control pages covering the same topics, left with their original structure, did not. The variable isolated was query-language alignment in URLs, titles, H1s, and H2s.<\/p>\n<p>Buyer-language relabeling produced a second measurable result. A page titled using practitioner jargon was relabeled using the words a buyer would type. Citations followed within weeks of that specific change. Jargon becomes a barrier at exactly the moment the machine matches a question to an answer.<\/p>\n<p>Content decay produced the most operationally significant finding. In Arjun&#8217;s tests, the decay pattern matched what was described earlier: pages lost the majority of their visibility within weeks of going stale. That range aligns with the external research: <a href=\"https:\/\/quattr.com\/blog\/content-decay-cycle-for-ai-citation\" target=\"_blank\" rel=\"noindex nofollow\">each year of content age can cut AI retrieval visibility by roughly 40 to 60%, even when the page continues to rank well in classic Google search<\/a>.<\/p>\n<p>Publishing cadence via AI Growth Agent runs at 5 to 8 autonomous actions per day, combining new articles with updates to existing ones. On Arjun&#8217;s own site, the GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days. New articles reached thousands of monthly Google impressions within weeks of publication.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics increases AI citation visibility by around 31\u201333% and adding quotations by around 41\u201343%, according to the Princeton GEO study<\/a>. That finding matches the structural pattern in Arjun&#8217;s own tests: specific, dated, first-person, verifiable content is what the retrieval layer rewards.<\/p>\n<h2>Neutral Recap of the Measurement Framework<\/h2>\n<p>The 2026 zero-click data points in one direction. <a href=\"https:\/\/searchengineland.com\/google-zero-click-searches-2026-study-479717\" target=\"_blank\" rel=\"noindex nofollow\">More than two-thirds of U.S. Google searches now end without a click, as the data above demonstrates<\/a>. <a href=\"https:\/\/omnibound.ai\/blog\/ai-seo-statistics\" target=\"_blank\" rel=\"noindex nofollow\">AI Overviews cut click-through rates by nearly half compared to searches without them, as noted in the data above<\/a>. <a href=\"https:\/\/geodocs.dev\/geo\/geo-topical-decay-framework\" target=\"_blank\" rel=\"noindex nofollow\">Sixty-two percent of AI-cited sources drop out of citation within three months<\/a>. These are not projections. They are measurements from the current environment.<\/p>\n<p>The measurement shift that follows from this data stays straightforward. Clicks remain a useful floor metric for understanding minimum traffic. Citations, share of answer, and AI referrer behavior are the metrics that explain what is actually happening to buyer awareness and vendor selection. <a href=\"https:\/\/business.adobe.com\/blog\/ai-search-visibility-kpis\" target=\"_blank\" rel=\"noindex nofollow\">Adobe&#8217;s 2026 analysis recommends tracking AI visibility, citations, share of voice, brand sentiment, AI referral traffic, and business impact alongside traditional SEO metrics<\/a>, because neither set alone tells the complete story.<\/p>\n<p>The framework Arjun documents publicly combines fan-out query mapping, buyer-language alignment, structured publishing at machine cadence via AI Growth Agent, impression-decay tripwires, and citation tracking across ChatGPT, Google AI Overviews, Perplexity, and Gemini. Every result is labeled by source. Misses are published alongside wins. The method is self-verifying: ask an AI assistant about these topics and see who gets cited.<\/p>\n<p>The window for outsized gains in this channel remains open now, for the same reason it was open in the early SEO era. Early citations become tomorrow&#8217;s settled answers. Answers gain incumbency. The cost of entry rises as the record hardens. <strong>Run your own visibility audit and <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">find out where your business stands<\/a> in AI answers today.<\/strong><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What does &#8220;zero-click search&#8221; mean, and why does it matter for B2B marketers in 2026?<\/h3>\n<p>A zero-click search is any Google search session that ends without the user clicking through to an external website. The user&#8217;s intent is satisfied directly on the search results page, either by a featured snippet, a knowledge panel, or, increasingly, an AI-generated overview. For B2B marketers, this matters because the traditional model assumed a click was the bridge between a buyer&#8217;s question and a brand&#8217;s content. When that bridge disappears, the content still influences the buyer, but through a citation or mention inside the AI answer rather than through a page visit. Measuring only clicks in this environment means measuring the minority of buyer interactions that leave a traceable signal, while ignoring the majority that do not.<\/p>\n<h3>How is generative engine optimization different from traditional SEO, and do I need to choose between them?<\/h3>\n<p>Traditional SEO optimizes for rankings on a human-readable list of results. Generative engine optimization targets citation inside a machine-generated answer. The retrieval mechanics differ: SEO builds authority through backlinks and domain tenure, while GEO builds it through topical coverage, buyer-language alignment, structured formatting, and content freshness. The success metric also differs: SEO reports rank position, while GEO reports citations, share of voice, and prompt coverage. The query model shifts as well: SEO optimizes for the keyword the buyer typed, while GEO must account for dozens of hidden fan-out queries triggered by a single prompt. The two approaches do not conflict. Structured, fresh, specific content earns citations in AI answers and impressions in traditional Google results simultaneously. The change lies in what you optimize toward and what you report on, not in abandoning one channel for the other.<\/p>\n<h3>How do I track whether my business is being cited in AI answers if there is no standard reporting tool for it?<\/h3>\n<p>The measurement approach combines four signal types. First, direct citation monitoring: run a defined set of buyer prompts across ChatGPT, Google AI Overviews, Perplexity, and Gemini on a regular cadence and record whether your brand appears, in what context, and whether a competitor appears instead. Second, AI referrer tracking: segment chatgpt.com and equivalent domains as a distinct traffic class in your analytics platform, because this traffic converts differently from standard organic and should be evaluated separately. Third, Google Search Console impression curves: impressions rising while clicks fall is the diagnostic signal that your content is being consumed inside AI answers rather than clicked through. Fourth, branded search lift: when AI answers name your business, buyers frequently search your brand name directly rather than clicking a citation link, so branded query volume becomes a proxy for AI-driven awareness that never shows up as a referral. None of these signals is complete on its own. Together they give a directional picture of AI visibility that is more accurate than click reporting alone.<\/p>\n<h3>How quickly does content lose citation visibility if it is not updated, and what counts as a meaningful update?<\/h3>\n<p>Citation decay begins faster than most content teams expect. Research across multiple platforms shows that roughly half of all AI-cited content is under 13 weeks old, and pages updated within the last 30 days earn several times more citations than equivalent pages that have not been touched. The decay rate varies by platform and content type: news and trend content can lose citation relevance within one to two weeks, while reference and definition pages hold citations for months. A meaningful update is one that adds new evidence, corrects outdated claims, incorporates recent statistics, or adds a new section addressing a question the original page did not cover. Changing a publication date without substantive content changes does not reset freshness signals, because AI crawlers and Google&#8217;s current core update behavior detect and discount superficial date changes. The practical implication is that a content library treated as a fixed asset is a content library in active decay, and the refresh cadence needs to match the decay rate of each content type rather than defaulting to an annual audit cycle.<\/p>\n<h3>What should a business do first if it has never measured its AI search visibility before?<\/h3>\n<p>The first step is a baseline visibility audit across the four major surfaces: ChatGPT, Google AI Overviews, Perplexity, and Gemini. The audit answers three questions: where the business currently appears in AI answers, where competitors appear instead, and where no credible answer exists at all. The third category, gaps where no one is cited yet, often becomes the highest-value starting point because it represents buyer questions the AI has not settled an answer for. Before any content strategy is built, the technical foundation needs to be confirmed: AI crawlers must be unblocked in robots configuration, schema markup must be present, and pages must be machine-parseable. If the retrieval layer cannot read the site, no content investment downstream will produce citations. Once the baseline is established and the technical plumbing is confirmed, the audit becomes the control group against which every subsequent content and structural change is measured.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>65\u201368% of searches end without a click. Arjun Karnik breaks down 2026 zero-click stats, AI Overview impact, and strategies to stay visible.<\/p>\n","protected":false},"author":118,"featured_media":213,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-214","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\/214","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=214"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/214\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/213"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}