{"id":175,"date":"2026-08-19T05:08:35","date_gmt":"2026-08-19T05:08:35","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/ai-search-impact-traffic"},"modified":"2026-08-19T05:08:35","modified_gmt":"2026-08-19T05:08:35","slug":"ai-search-impact-traffic","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/ai-search-impact-traffic","title":{"rendered":"How AI Search Is Impacting Traffic (And What to Do)"},"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>AI Overviews and assistants have halved traditional clicks on affected queries, so success now depends on citations across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/li>\n<li>Zero-click searches reached 68% in early 2026, and 75% of cited pages were updated within the past year, which shows freshness and structure drive visibility.<\/li>\n<li>Buyers now receive one synthesized answer, and a citation inside that answer acts as a vendor-selection event that pre-sells prospects before any click.<\/li>\n<li>A five-step playbook of fan-out query mapping, buyer-language alignment, structured publishing at machine cadence, impression-decay tripwires, and citation monitoring replaces outdated rank tracking.<\/li>\n<li>Live site tests show this method works; <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>see how the method applies to your domain<\/strong><\/a> by mapping your fan-out queries and measuring your current share of answer.<\/li>\n<\/ul>\n<h2>2025\u20132026 Data: How AI Search Reshaped Discovery<\/h2>\n<p>The scissors chart in Google Search Console, with impressions climbing while clicks fall, is not a reporting glitch. It is the new baseline. The table below shows three converging trends: AI platforms now serve billions of users, those users click traditional results far less when AI answers appear, and smaller publishers lose the most traffic, which is exactly where most B2B brands compete.<\/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<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Figure<\/th>\n<th>Source &amp; Date<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>CTR with AI Overview present vs. absent<\/td>\n<td>8% vs. 15% click rate on traditional results<\/td>\n<td><a href=\"https:\/\/www.pewresearch.org\/\" target=\"_blank\" rel=\"noindex nofollow\">Pew Research Center<\/a>, 900 US adults, 68,879 searches, March 2025<\/td>\n<\/tr>\n<tr>\n<td>Zero-click share of US Google searches<\/td>\n<td>68.01% (Jan\u2013Apr 2026), up from 60.45% in 2024<\/td>\n<td><a href=\"https:\/\/sparktoro.com\/blog\/in-2026-less-than-one-third-of-google-searches-still-send-a-click\" target=\"_blank\" rel=\"noindex nofollow\">SparkToro \/ Similarweb<\/a>, 2026<\/td>\n<\/tr>\n<tr>\n<td>AI Overviews monthly active users<\/td>\n<td>Over 2.5 billion<\/td>\n<td><a href=\"https:\/\/blog.google\/\" target=\"_blank\" rel=\"noindex nofollow\">Sundar Pichai, Google I\/O<\/a>, May 2026<\/td>\n<\/tr>\n<tr>\n<td>ChatGPT weekly active users<\/td>\n<td>900 million (up from 800M in Oct 2025)<\/td>\n<td><a href=\"https:\/\/openai.com\/\" target=\"_blank\" rel=\"noindex nofollow\">OpenAI<\/a>, February 2026<\/td>\n<\/tr>\n<tr>\n<td>B2B buyers who switched intended vendor after AI recommendation<\/td>\n<td>69%<\/td>\n<td>G2, 1,076 decision-makers, March 2026<\/td>\n<\/tr>\n<tr>\n<td>B2B buyers who purchased from a previously unknown vendor<\/td>\n<td>33%<\/td>\n<td>G2, March 2026<\/td>\n<\/tr>\n<tr>\n<td>Search referral traffic decline for small publishers (1k\u201310k daily views)<\/td>\n<td>\u221260% over two years<\/td>\n<td><a href=\"https:\/\/axios.com\/2026\/03\/17\/chartbeat-search-traffic-ai-chatbots\" target=\"_blank\" rel=\"noindex nofollow\">Chartbeat \/ Axios<\/a>, March 2026<\/td>\n<\/tr>\n<tr>\n<td>Cited pages updated within the last year<\/td>\n<td>75% of all cited pages<\/td>\n<td><a href=\"https:\/\/seerinteractive.com\/insights\/aio-impact-on-google-ctr-2026-update\" target=\"_blank\" rel=\"noindex nofollow\">Seer Interactive<\/a>, 47,097 citations, 7,683 pages, March\u2013June 2026<\/td>\n<\/tr>\n<tr>\n<td>AI referral traffic conversion premium<\/td>\n<td>often higher than that of organic search visitors<\/td>\n<td>multiple studies<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The regressive pattern in publisher traffic losses deserves separate attention. <a href=\"https:\/\/axios.com\/2026\/03\/17\/chartbeat-search-traffic-ai-chatbots\" target=\"_blank\" rel=\"noindex nofollow\">Chartbeat data shared with Axios<\/a> shows small publishers lost 60% of search referrals, medium publishers 47%, and large publishers 22% over two years. Smaller B2B sites and expert consultancies sit in the most exposed segment.<\/p>\n<h2>The New Buyer Journey: From Prompt to Selective Click<\/h2>\n<p>Buyers now receive one synthesized answer instead of scanning ten blue links. A citation inside that answer functions as a vendor-selection event, not a footnote. The assistant effectively shortlists vendors before the buyer ever reaches a website.<\/p>\n<p>G2&#8217;s March 2026 survey of 1,076 B2B decision-makers found 85% view a vendor more favorably when an assistant mentions it. That favorability precedes any visit to the vendor&#8217;s site. The click, when it comes, arrives from a buyer who has already been pre-sold.<\/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<p>This dynamic explains the conversion premium. <a href=\"https:\/\/heybuffy.com\/blog\/is-ai-traffic-more-valuable\" target=\"_blank\" rel=\"noindex nofollow\">Adobe Digital Insights<\/a> found AI-referred retail traffic converts 54% better than non-AI traffic and generates 53% more revenue per visit in May 2026. Some studies have measured AI citation traffic converting at higher rates than Google organic. The buyer arrives later in the consideration stage because the AI answer already walked them through the category.<\/p>\n<p>The attribution problem compounds this shift. When a buyer reads an AI answer that names your business, then types your name directly into a browser, that visit lands in analytics as direct traffic. Sites cited consistently in AI Overviews can see higher direct traffic and branded search volume. Whatever citation monitoring captures is a floor, not a ceiling.<\/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<h2>Step 1: Fan-Out Query Mapping Targets the Real Retrieval Surface<\/h2>\n<p>A single buyer prompt rarely produces a single lookup. ChatGPT can break one user query into multiple parallel web sub-queries. Content that focuses only on the visible prompt while ignoring the fan-out targets the wrong surface.<\/p>\n<p>In Arjun Karnik\u2019s test lab, fan-out queries were extracted directly from ChatGPT rather than inferred from keyword tools, because the target is the machine&#8217;s questions, not the human&#8217;s. URLs, titles, H1s, and H2s were rewritten to match that extracted language. Pages rewritten this way earned citations. Control pages, held back from the same treatment, did not.<\/p>\n<p><a href=\"https:\/\/convert.com\/blog\/growth-marketing\/how-to-optimize-content-for-generative-ai\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs data shows that only 38% of pages cited in AI Overviews rank in the top 10 for the original query<\/a>, which confirms that topical cluster coverage across fan-out sub-queries drives citations more than single-page ranking. The fan-out map becomes the production queue.<\/p>\n<h2>Step 2: Buyer-Language Alignment Triggers Faster Citations<\/h2>\n<p>Buyer language alignment turns abstract GEO theory into citations within weeks. Jargon blocks visibility at the exact moment the machine matches a question to an answer.<\/p>\n<p>In one test, a page titled \u201cWhat is GEO\u201d was relabelled \u201cHow to Get Your Business Recommended by AI Search,\u201d with the slug, title, H1, and H2s all realigned to buyer questions. Citations followed within weeks of that specific change. The buyer verbs that matter are mentioned, recommended, and cited, because buyers search for these outcomes and the retrieval layer matches against them.<\/p>\n<p>Pages labelled in practitioner vocabulary, such as \u201cgenerative engine optimization methodology\u201d or \u201cLLM retrieval architecture,\u201d miss the query surface entirely. Analyses of URLs cited by AI platforms have found that cited pages tend to use question-and-answer formatting and include clear summaries and easy-to-scan takeaways. Structure and language alignment act as ranking factors, not cosmetic choices.<\/p>\n<h2>Step 3: Structured Publishing at Machine Cadence Drives New Impressions<\/h2>\n<p>Structured publishing at a steady cadence creates the only new impressions many domains now see. Volume and recency form the entry fee for AI visibility.<\/p>\n<p><a href=\"https:\/\/seerinteractive.com\/insights\/aio-impact-on-google-ctr-2026-update\" target=\"_blank\" rel=\"noindex nofollow\">Seer Interactive&#8217;s analysis of 47,097 citations found that pages cited consistently across all four months averaged under six months since their last update, and that refreshed pages outperform newly published ones<\/a>. A fixed library of any size decays.<\/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>On Arjun Karnik\u2019s site, an AI article engine ran on a GEO subfolder via AI Growth Agent, with 5\u20138 autonomous actions per day such as new articles and updates. Query language went into URLs, titles, and H1s, and schema covered every page. New articles reached thousands of monthly Google impressions within weeks. The GEO subfolder grew from zero to the only source of new impressions on the entire domain in 60 days, measured in Google Search Console.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786471826043-e712a9527e2b.png\" alt=\"Agent Actions board set to autopilot, showing day columns of task cards at stages from write and writing through draft in review, scheduled, published and refreshed. Decay cards flag pages down 41 to 62 percent on impressions and queue them for an update.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>The publishing cadence, running. New articles and refreshes sit in one queue, and pages that have started to slide get flagged and rewritten without anyone auditing a spreadsheet.<\/em><\/figcaption><\/figure>\n<p>The structural requirements that determine whether a page gets cited all support one goal: making the page easy for machines to parse at the moment they match a question to an answer.<\/p>\n<ul>\n<li>Answer-first formatting places the direct response in the first 40\u201360 words of each section, because <a href=\"https:\/\/astiva.ai\/blog\/optimize-content-ai-citations-llm\" target=\"_blank\" rel=\"noindex nofollow\">44.2% of ChatGPT citations come from the first 30% of article text<\/a>, so the model samples early and moves on.<\/li>\n<li>Question-phrased H2 headings signal which section answers each sub-query, which reduces matching cost for the retrieval layer.<\/li>\n<li>FAQPage, Article, and HowTo schema in static server-rendered HTML, rather than client-side JavaScript, provide the structured data layer assistants parse before rendering the page.<\/li>\n<li>Three to five sourced statistics per page, supported by <a href=\"https:\/\/radiantelephant.com\/geo-tactics-what-works-evidence-based-research-review\" target=\"_blank\" rel=\"noindex nofollow\">the Princeton GEO study that found adding statistics improves AI visibility by +37% to +41%<\/a>, help models favor content that cites evidence.<\/li>\n<li>AI crawlers must remain unblocked in robots configuration, because this silent blocker can prevent every other improvement from having any effect.<\/li>\n<\/ul>\n<h2>Step 4: Impression-Decay Tripwires Catch Drops Before Positions Vanish<\/h2>\n<p>Impression-decay tripwires protect citation positions before they disappear. In controlled tests, pages dropped 78% to 99% in two months without updates, and that decay remained invisible without instrumentation.<\/p>\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>. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">The Semrush AI Visibility Study found that AI citations change 40\u201360% month over month<\/a>. The game effectively resets every week.<\/p>\n<p>Impression-decay tripwires in AI Growth Agent monitor Search Console signals and automatically queue an update when a page starts falling. The threshold is set against the measured decay behavior from these tests. The result is self-healing content that repairs itself on a loop instead of waiting for a quarterly audit. Freshness is the hardest thing for a competitor to sustain and the easiest thing for an incumbent to neglect, which creates an opening for challengers.<\/p>\n<h2>Step 5: Citation and Share-of-Answer Measurement Replace Rank Tracking<\/h2>\n<p>Citation and share-of-answer metrics now matter more than rank position. Rank measures a surface the buyer often skips.<\/p>\n<p>The correct replacement metrics are citations, mentions, and share of voice across ChatGPT, Google AI Overviews, Perplexity, and Gemini, plus AI referrer segmentation in analytics. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">A competitive share of citation for B2B brands in 2026 sits between 5% and 15% aggregate across major AI engines, with 20% or above signaling category leadership<\/a>. <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>, so citation monitoring must run weekly, not quarterly.<\/p>\n<p>AI referrer traffic from chatgpt.com and similar domains should be treated as a distinct traffic class in analytics because it converts like a referral rather than like search. <a href=\"https:\/\/ziptie.dev\/blog\/ai-search-traffic-attribution\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs&#8217; internal data showed AI-referred visitors represented only 0.5% of total traffic but drove 12.1% of new signups, a 24.2\u00d7 conversion rate disparity relative to traffic share<\/a>. Measuring this channel by clicks alone means grading work on a step the buyer skipped.<\/p>\n<p>Wins feed back into production. The system doubles down on what earns citations, and performance compounds over time.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<p><strong>How is AI search draining your traffic?<\/strong><\/p>\n<p>AI search drains traffic through two mechanisms. First, AI Overviews and assistants answer the buyer&#8217;s question directly, which removes the need to click through to a source. Pew Research Center&#8217;s behavioral study of 68,879 real Google searches found users click a traditional result in only 8% of visits when an AI Overview is present, versus 15% without one.<\/p>\n<p>Second, the <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">zero-click rate for US Google searches reached 68.01% in January\u2013April 2026, up from 60.45% in 2024<\/a>. The content is being read and used to construct answers, but it no longer sends traffic back to the originating site at previous levels.<\/p>\n<p><strong>Why does AI ignore my business in answers?<\/strong><\/p>\n<p>AI assistants skip a business when the retrieval layer cannot find structured, fresh, buyer-language-aligned content that answers the fan-out queries triggered by a buyer&#8217;s prompt. The most common causes are AI crawlers blocked in robots configuration, pages written in practitioner jargon rather than buyer language, content that has not been updated within the past 30\u201390 days, absence of schema markup, and no coverage of the specific sub-questions the model uses to construct its answer.<\/p>\n<p>In controlled tests, pages rewritten to match extracted fan-out queries earned citations while control pages with identical domain authority did not. The problem is structural rather than purely competitive.<\/p>\n<p><strong>What percentage of Google searches go past the first page?<\/strong><\/p>\n<p>The more relevant question in 2026 is what percentage of Google searches produce any click at all. SparkToro&#8217;s analysis of Similarweb clickstream data found 68.01% of US Google searches ended without a click during January\u2013April 2026.<\/p>\n<p>Of the clicks that do occur, roughly 92% of AI Overview citations come from pages already ranking in the organic top 10, which means traditional ranking remains the entry ticket to AI visibility. Earning a citation inside the Overview then determines whether the click goes to you or a competitor. Being cited inside an AI Overview delivers 120% more organic clicks per impression than being uncited on the same SERP, per Seer Interactive&#8217;s 2026 study of 2.43 billion impressions.<\/p>\n<p><strong>My competitor shows up in ChatGPT and I do not. What do they have that I do not?<\/strong><\/p>\n<p>Competitors appearing in ChatGPT typically have three advantages most businesses lack. They publish structured content aligned to buyer-language fan-out queries, they keep that content fresh within the past 30\u201390 days, and they use schema markup that makes pages easy for machines to parse.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">An Ahrefs study of 75,000 brands found brand web mentions correlate with AI citation likelihood at 0.664, compared to only 0.218 for backlinks<\/a>, which shows the traditional SEO authority model matters less for citations. A challenger that targets specific fan-out queries with fresh, structured content can outrun an incumbent whose library has gone stale, because the game resets weekly. In one lab test, buyer-language relabelling of a single page produced citations within weeks on a domain with no inherited authority advantage.<\/p>\n<p><strong>How do you measure share of answer instead of rankings?<\/strong><\/p>\n<p>Share of answer is measured by running a defined set of buyer prompts across ChatGPT, Google AI Overviews, Perplexity, and Gemini at regular intervals and recording how often the business is cited, mentioned, or recommended versus competitors. The core metrics are citation frequency per prompt, share of voice relative to the competitive set, and AI referrer sessions in analytics segmented from chatgpt.com and similar domains.<\/p>\n<p>Google Search Console provides the impression and decay curves that signal when a page is losing citation performance before the drop becomes hard to reverse. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">A competitive share of citation for B2B brands sits between 5% and 15% aggregate across major AI engines, with 20% or above signaling category leadership<\/a>. Because buyers often copy an AI answer and type a brand name directly into a browser, measured citation impact understates real impact, so whatever is captured represents a floor.<\/p>\n<h2>Recap: Turn AI Search From Risk Into Channel<\/h2>\n<p>The \u201cimpressions up, clicks down\u201d pattern is not a traffic problem to patch. It signals that AI systems are consuming your content to construct answers, and the real question is whether those answers name your business.<\/p>\n<p>The five-step system documented in Arjun Karnik&#8217;s public test lab addresses each failure point in sequence.<\/p>\n<ol>\n<li>Map the full fan-out query space extracted directly from ChatGPT, not inferred from keyword tools.<\/li>\n<li>Align buyer language across URLs, titles, H1s, and H2s, using the words buyers use rather than practitioner terms.<\/li>\n<li>Publish structured content at machine cadence via AI Growth Agent, with schema on every eligible page.<\/li>\n<li>Set impression-decay tripwires that auto-queue updates before the position is lost.<\/li>\n<li>Replace rank tracking with citation, mention, and share-of-voice monitoring across all four AI surfaces.<\/li>\n<\/ol>\n<p>Every result described here came from controlled tests on Arjun Karnik&#8217;s site, measured in Google Search Console, with control pages held back to isolate the effect. The method is self-verifying: ask an AI assistant about these topics and see which brands it cites. No guarantees are made, but the receipts, including the misses, are published in public.<\/p>\n<p>The window for outsized gains remains open. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Early citations become tomorrow&#8217;s record, and answers gain incumbency<\/a>. The cost of entry rises as settled answers harden.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Start with a diagnostic<\/strong><\/a> to map your fan-out query space and measure your current share of answer across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI Overviews are halving organic clicks. Arjun Karnik&#8217;s 5-step playbook wins citations across ChatGPT, Gemini &amp; Perplexity. Protect your traffic now.<\/p>\n","protected":false},"author":118,"featured_media":174,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-175","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\/175","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=175"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/175\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/174"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}