{"id":27,"date":"2026-08-10T05:12:29","date_gmt":"2026-08-10T05:12:29","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/why-seo-traffic-dropping"},"modified":"2026-08-10T05:12:29","modified_gmt":"2026-08-10T05:12:29","slug":"why-seo-traffic-dropping","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/why-seo-traffic-dropping","title":{"rendered":"Why SEO Traffic Is Dropping Even When Rankings Hold"},"content":{"rendered":"<p><em>Written by: Arjun Karnik, Growth Marketing Specialist<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for GEO-First SEO Teams<\/h2>\n<ul>\n<li>AI Overviews now appear in 48% of Google results, cutting CTR by about 60% and driving the \u201cscissors pattern\u201d of rising impressions but falling clicks.<\/li>\n<li>68% of US Google searches end without a click, and 71% of B2B buyers start research with AI chatbots, so appearing inside AI answers now shapes vendor selection.<\/li>\n<li>Targeting fan-out queries, matching buyer language, adding schema markup, and keeping content fresh earns citations even when traditional rankings stay flat.<\/li>\n<li>Content freshness is critical. Pages can lose 78\u201399% of impressions within two months without updates, and 75% of cited pages were refreshed within the past year.<\/li>\n<li>See how AI Growth Agent maps Search Console data to GEO actions that protect and grow visibility with Arjun Karnik\u2019s system.<\/li>\n<\/ul>\n<h2>Why SEO Traffic Is Dropping Despite Rankings<\/h2>\n<p>Rankings are holding, impressions are climbing, and clicks are falling. This scissors pattern defines the zero-click era in B2B search.<\/p>\n<p>The mechanism is structural, not cyclical. <a href=\"https:\/\/www.pewresearch.org\/\" target=\"_blank\" rel=\"noindex nofollow\">Pew Research Center tracked 900 US adults across 68,879 Google searches in March 2025<\/a> and found that when an AI summary appeared, users clicked a traditional search result in only 8% of visits, against 15% when no summary was present. <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&#8217;s 2026 analysis of Similarweb clickstream data found that 68.01% of US Google searches ended without any click<\/a>, up from 60.45% in 2024. Fewer than 276 out of every 1,000 searches now send a visitor to the open web.<\/p>\n<p>For B2B founders, the revenue impact stays invisible in standard reporting. The SEO retainer tracks rankings, which are holding. The dashboard says everything is fine. Meanwhile, G2&#8217;s March 2026 survey of 1,076 B2B software buyers across North America, EMEA, and APAC found that 71% use AI chatbots for software research, 69% switched to a different vendor than originally planned based on what the assistant told them, and 33% bought from a vendor they had never previously heard of. Being in the AI answer functions as a vendor-selection event, not just a visibility metric.<\/p>\n<p>The scissors are the visible half of the problem. The invisible half is attribution. Buyers who read an AI answer and then type a brand name directly into their browser show up in analytics as direct traffic, not as AI-driven demand. Whatever is measured is a floor, not a ceiling.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>See how AI Growth Agent maps your Search Console scissors pattern to specific GEO actions that recover lost visibility.<\/strong><\/a><\/p>\n<h2>How AI Overviews Reduce Clicks<\/h2>\n<p>The shift from lists to answers has already happened. AI-generated summaries are now the default surface for most informational and commercial queries.<\/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>. <a href=\"https:\/\/serps.io\/blog\/ai-overviews-ctr-impact\" target=\"_blank\" rel=\"noindex nofollow\">When an AI Overview is present, click-through rates fall by roughly 60%<\/a>, which aligns with the Pew finding that users click traditional results about half as often when summaries appear. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-automated-keyword-research-tool\/\" target=\"_blank\">Clicks are nearly twice as high when no AI summary appears<\/a>, and only 1% of users click links cited inside the summary itself.<\/p>\n<p>At Google I\/O in May 2026, Sundar Pichai reported AI Overviews at over 2.5 billion monthly active users and AI Mode at over 1 billion monthly active users within its first year. OpenAI reported 900 million weekly active ChatGPT users in February 2026. AI is now the primary search surface many buyers use, not a side channel.<\/p>\n<p>B2B buyers have moved their starting point. 51% of B2B software buyers now start their research with an AI chatbot more often than Google, up from 29% in April 2025. Prospects arrive at sales calls pre-educated. The journey now runs AI answer, then brand search, then visit. The old path of query, then article click, then CTA no longer describes the dominant flow. Judging organic performance by clicks alone means grading a channel on a step the buyer skipped.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adobe data shows AI referral traffic to US retail sites grew 138% year over year as of May 2026<\/a>, and traffic arriving from chatgpt.com converts like a referral rather than cold search traffic. An assistant recommended the brand, so intent is already warmed.<\/p>\n<p>To respond effectively to this shift, five core concepts define the new optimization landscape.<\/p>\n<h2>Key Concepts for Earning AI Citations<\/h2>\n<p><strong>Citations<\/strong> are the instances in which an AI assistant names, links, or quotes a specific source inside a generated answer. In Arjun Karnik&#8217;s test lab, pages rewritten to match extracted ChatGPT fan-out queries earned citations while control pages did not. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">80% of LLM citations do not rank in Google&#8217;s top 100 for the original query<\/a>, so citation and ranking are separate outcomes that need separate strategies.<\/p>\n<p><strong>Fan-out queries<\/strong> are the dozens of hidden retrieval queries an AI assistant triggers underneath a single buyer prompt to assemble its answer. Optimizing for the visible prompt while ignoring the fan-out targets the wrong surface. On Arjun&#8217;s site, extracting fan-out queries directly from ChatGPT and aligning slugs, titles, H1s, and H2s to that language produced citations on rewritten pages while controls stayed uncited.<\/p>\n<p><strong>Topical authority<\/strong> in GEO is earned through depth of coverage across a mapped question space. Pillars and clusters matter more than legacy backlink profiles. A small expert team can appear alongside or ahead of an incumbent because the system matches a question to the best available answer, not to the oldest domain.<\/p>\n<p><strong>Freshness<\/strong> functions as the entry fee. In Arjun&#8217;s decay tracking, pages dropped 78% to 99% in two months without updates. <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 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity 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>. The refreshed page beats the page that was written once and left.<\/p>\n<p><strong>Structured content<\/strong> means query language in URLs, titles, and H1s, schema markup on every page, and answer-first formatting the retrieval layer can parse. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics increases AI citation visibility by approximately 31\u201333% and adding quotations by approximately 41\u201343%, according to the Princeton GEO study<\/a>. Plain but structured pages that are fresh and aligned to buyer language outperform beautiful, unstructured prose.<\/p>\n<h2>Diagnostic Table: Search Console Patterns to GEO Actions<\/h2>\n<table>\n<thead>\n<tr>\n<th>Search Console Pattern<\/th>\n<th>What It Signals<\/th>\n<th>GEO Action<\/th>\n<th>Priority<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Impressions rising, clicks falling (scissors)<\/td>\n<td>AI Overviews consuming content without sending clicks, <a href=\"https:\/\/peppereffect.com\/blog\/impressions-up-clicks-down\" target=\"_blank\" rel=\"noindex nofollow\">the &#8220;Great Decoupling&#8221; documented across dozens of publisher graphs in 2025<\/a><\/td>\n<td>Map fan-out queries, restructure pages for citation, add schema<\/td>\n<td>Immediate<\/td>\n<\/tr>\n<tr>\n<td>CTR collapsing on informational queries, position stable<\/td>\n<td>AI Overview intercepting clicks, <a href=\"https:\/\/prnewswire.com\/news-releases\/ranking-1-on-google-now-delivers-58-fewer-clicks-than-it-used-to-gravitate-analysis-finds-302822237.html\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs February 2026 data shows a 58% CTR reduction for position-1 results when AI Overviews appear<\/a><\/td>\n<td>Rewrite to buyer language, align H2s to decision-stage questions, target citation inside the Overview<\/td>\n<td>High<\/td>\n<\/tr>\n<tr>\n<td>Impression decay of 20%+ within 60 days on previously stable pages<\/td>\n<td>Freshness bias deprioritizing stale content, with decay rates described in the Freshness concept above<\/td>\n<td>Set impression-decay tripwires, auto-queue refreshes via AI Growth Agent, update at least one data point per major section<\/td>\n<td>High<\/td>\n<\/tr>\n<tr>\n<td>AI referrers (chatgpt.com) appearing in analytics with high conversion, low volume<\/td>\n<td>Citations already earned, channel underreported because zero-click paths land as direct or branded search<\/td>\n<td>Expand fan-out coverage, measure share of answer as well as referral volume, instrument branded search as a proxy<\/td>\n<td>Medium<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Solution Landscape: How Different Approaches Scale<\/h2>\n<p>Five approaches exist for addressing the scissors pattern. Each breaks on some combination of volume, structure, and freshness.<\/p>\n<table>\n<thead>\n<tr>\n<th>Approach<\/th>\n<th>Speed to First Result<\/th>\n<th>Scalability<\/th>\n<th>Core Trade-Off<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Improve existing content structure and buyer-language alignment<\/td>\n<td>Citations within weeks of relabelling (based on Arjun&#8217;s internal tests)<\/td>\n<td>Low, because work happens manually, page by page<\/td>\n<td>High-impact but does not solve freshness or volume at cadence<\/td>\n<\/tr>\n<tr>\n<td>Technical fixes (schema, AI crawler access, machine-parseable pages)<\/td>\n<td>Immediate unblocking, with downstream results in weeks<\/td>\n<td>One-time correction with ongoing maintenance<\/td>\n<td>Foundational requirement, since nothing else works without it<\/td>\n<\/tr>\n<tr>\n<td>Topic expansion via fan-out query mapping and pillar\/cluster publishing<\/td>\n<td>Impressions in weeks, citations in 1\u20133 months<\/td>\n<td>High with AI-assisted production<\/td>\n<td>Requires sustained cadence, with compounding beginning after month three<\/td>\n<\/tr>\n<tr>\n<td>Refresh loops with impression-decay tripwires<\/td>\n<td>Decay arrested within the monitoring cycle<\/td>\n<td>High, automated via AI Growth Agent<\/td>\n<td>Passive by design and requires initial tripwire configuration<\/td>\n<\/tr>\n<tr>\n<td>New measurement (citations, share of answer, AI referrers)<\/td>\n<td>Immediate visibility into current citation state<\/td>\n<td>High, dashboard-level<\/td>\n<td>Diagnosis without execution changes nothing, so it must pair with production<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Human content agencies typically produce well-written prose at approximately $10,000 per month for 7\u201310 articles with no refresh loop. AI content engines run at approximately $5,000 per month with continuous publishing and automated refreshes. The second option buys volume, structure, and freshness, which are the three variables the retrieval layer rewards. <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>. Prose quality is not the variable being judged.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Explore AI Growth Agent&#8217;s full-workflow solution for fan-out mapping, structured publishing, and citation tracking.<\/strong><\/a><\/p>\n<h2>Evaluation Framework for GEO Readiness<\/h2>\n<p>Before selecting any approach, five conditions must be assessed in sequence. Skipping steps wastes investment on downstream work that cannot function without upstream foundations.<\/p>\n<ol>\n<li><strong>Technical accessibility.<\/strong> Confirm AI crawlers are unblocked, pages are machine-parseable, and schema is present. If any of these fail, fix them first. Every downstream investment otherwise lands on content the retrieval layer cannot read.<\/li>\n<li><strong>Topic coverage.<\/strong> Check whether the content library covers the full fan-out question space behind each buyer prompt or only the visible head terms. Gaps in coverage create gaps in citation eligibility.<\/li>\n<li><strong>Buyer-question alignment.<\/strong> Compare URLs, titles, H1s, and H2s to the words buyers actually use rather than practitioner jargon. In Arjun&#8217;s testing, relabelling a jargon-heavy page to buyer language produced citations within weeks of that specific change.<\/li>\n<li><strong>Measurement readiness.<\/strong> Track citations across ChatGPT, Google AI Overviews, Perplexity, and Gemini, and segment AI referrer traffic in analytics. <a href=\"https:\/\/pepper.inc\/blog\/what-is-share-of-answer\" target=\"_blank\" rel=\"noindex nofollow\">Share of Answer, the percentage of category prompts on which a brand is cited, moves ahead of pipeline in B2B data<\/a>. Ranking reports do not capture this shift.<\/li>\n<li><strong>Refresh capacity.<\/strong> Put a mechanism in place to detect decay and queue updates automatically. As shown in the earlier decay tracking, a fixed library of any size lost up to 99% of its performance within two months without maintenance. <a href=\"https:\/\/www.airops.com\/report\/the-2026-state-of-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">The AirOps 2026 State of AI Search report (discussed by Kevin Indig)<\/a> found that pages not updated quarterly are 3\u00d7 more likely to lose their citations.<\/li>\n<\/ol>\n<h2>Misconceptions and Risks in GEO<\/h2>\n<p><strong>Stale content is invisible decay, not a stable asset.<\/strong> Many SEO-plateau founders assume a content library built over years retains its value passively. As demonstrated in the decay tracking discussed earlier, pages lost up to 99% of their performance within two months of going stale. <a href=\"https:\/\/takeagander.ai\/resources\/gander-blog\/how-content-freshness-drives-visibility-in-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Gander&#8217;s Q1 2026 analysis found that content has a one-year half-life in AI search, with each year of age reducing a page&#8217;s visibility by roughly 40\u201360%<\/a>. A library only functions as an asset when it is maintained.<\/p>\n<p><strong>Weak structure is the silent blocker.<\/strong> Well-written content that lacks schema, uses jargon in headings, and buries answers in narrative prose becomes structurally invisible to the retrieval layer. High-influence cited pages contain more headings, higher paragraph counts, greater list density, and stronger semantic alignment with the generated answer. Structure operates as a requirement, not a finish.<\/p>\n<p><strong>Incomplete attribution understates the problem.<\/strong> Because the zero-click path runs answer, then brand search, then visit, a meaningful share of AI-driven demand lands in analytics as direct or branded search. <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 a single-snapshot measurement of citations is unreliable as a performance benchmark. Track citation velocity and share of answer over rolling windows, not point-in-time snapshots.<\/p>\n<p><strong>Wrong AI answers are worse than no answer.<\/strong> If an AI assistant currently says something inaccurate about a brand, that becomes the first priority ahead of any growth work. Defensive GEO audits what the assistants currently say and corrects it. A visibility audit across ChatGPT, Google AI Overviews, Perplexity, and Gemini surfaces these problems before they compound.<\/p>\n<h2>Three Anonymized GEO Scenarios<\/h2>\n<p><strong>Scenario 1: Founder-led professional services firm.<\/strong> A boutique consultancy with a seven-year content library sees impressions up 40% over 18 months while clicks have fallen 28%. Average position is unchanged. The diagnosis is a classic scissors pattern concentrated on informational queries. The test plan is straightforward. Audit AI crawler access and schema first. Extract fan-out queries from ChatGPT for the firm&#8217;s three core service areas. Rewrite the top 20 pages by impression volume to buyer language in URLs, titles, and H1s. Set impression-decay tripwires at a 20% drop threshold. In Arjun&#8217;s lab, this sequence of fan-out extraction plus buyer-language relabelling produced citations on rewritten pages while controls stayed uncited. The measurement target shifts from rankings to citation share across the four major AI surfaces.<\/p>\n<p><strong>Scenario 2: SaaS team with 0\u20132 marketers.<\/strong> A $5M ARR SaaS company has held page-one rankings for its primary category terms for three years. Organic-attributed pipeline has dropped 35% in 12 months with no ranking change. Recall that one-third of B2B buyers now purchase from previously unknown vendors based on AI recommendations. The diagnosis is that the company is missing from the AI answer for its category. The test plan starts with a baseline visibility audit across all four surfaces. Next, map the full fan-out question space behind the buyer&#8217;s primary research prompt. Then deploy a structured publishing engine via AI Growth Agent at 5\u20138 autonomous actions per day on a site subfolder and measure subfolder impressions separately from the main domain. On Arjun&#8217;s site, the GEO subfolder went from zero to the only source of new impressions on the domain in 60 days.<\/p>\n<p><strong>Scenario 3: Consultancy competing against entrenched incumbents.<\/strong> A specialist consultancy in a category dominated by three large firms cannot win on head terms through traditional SEO economics. The incumbents have a decade of domain authority. The test plan targets the long tail first. The focus is on specific fan-out queries around situations, comparisons, and objections where relevance and freshness beat tenure. <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>. The challenger does not need to win the head term to reach 5\u201315% citation share. Freshness becomes the lever incumbents are least likely to pull. A stale library with a decade of authority loses to a challenger publishing and refreshing at cadence because the game resets weekly.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the difference between SEO and GEO?<\/h3>\n<p>SEO targets rankings on a human-readable list of results and earns authority through backlinks and domain age. GEO targets citation inside a machine-generated answer and earns authority through topical coverage and content freshness. The success metric in SEO is rank position. In GEO it is citations, mentions, and share of answer. A single buyer prompt in GEO triggers dozens of hidden fan-out queries the buyer never sees, so optimizing for the visible keyword alone misses the retrieval surface.<\/p>\n<h3>How do I measure AI search visibility if I cannot see citations in Search Console?<\/h3>\n<p>Search Console does not separate clicks from AI Overviews, AI Mode, and traditional results. A practical measurement stack uses five layers. Track AI Overview appearances in Search Console with the Search Appearance filter. Monitor citations in external services such as ChatGPT and Perplexity through manual prompt audits or monitoring tools. Segment AI referrer traffic in GA4 by chatgpt.com and equivalents. Watch branded search volume in Search Console as a proxy for zero-click AI-driven demand. Finally, connect these signals to downstream inquiries and pipeline. Share of answer, the percentage of a fixed set of category prompts on which the brand is cited, becomes the headline metric. Run the same prompt set weekly across all four major surfaces and track movement over rolling 30-day windows because cited sources drift significantly over time.<\/p>\n<h3>How quickly does content decay in AI search, and how do I prevent it?<\/h3>\n<p>On Arjun Karnik&#8217;s site, internal tests showed pages dropping 78\u201399% in two months without updates. Prevention relies on impression-decay tripwires wired to Search Console signals that automatically queue an update when performance drops past a set threshold. A substantive refresh requires meaningful content change, such as at least one updated data point, source, or example per major section, not just a date stamp update. The goal is self-healing content that repairs itself on a loop rather than waiting for a quarterly audit that arrives after the position is already gone.<\/p>\n<h3>Do I need to stop doing SEO to start GEO?<\/h3>\n<p>SEO and GEO can run together. Technical fundamentals, structured content, and topical depth support both channels. What changes is the optimization target and the reporting metric. Content built for citation that is structured, fresh, aligned to buyer-language fan-out queries, and marked up with schema still performs in traditional Google search. On Arjun&#8217;s site, articles structured for GEO reached thousands of monthly Google impressions within weeks, and the GEO subfolder became the only source of new impressions on the domain. The channels do not conflict. The measurement framework and content structure are what need to change.<\/p>\n<h3>What technical setup is required before GEO content work can succeed?<\/h3>\n<p>Three elements must be in place before any content strategy can function. AI crawlers must be unblocked in robots configuration, which is the most common silent blocker. Schema markup must be present across all target pages. Pages must be machine-parseable with answer-first structure, question-format headings, and enough heading and list density for the retrieval layer to extract claims cleanly. Without these, every downstream content investment lands on pages the machine cannot read. Technical plumbing is fixed first, not after the content is published.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>The answers are being written right now, so see how AI Growth Agent ensures your business gets into the record AI reads from.<\/strong><\/a><\/p>\n<h2>Conclusion: Next-Step Checklist for GEO Execution<\/h2>\n<p>The scissors pattern reflects a distribution shift, not a ranking problem. The following checklist maps the diagnostic sequence to the actions that address it.<\/p>\n<ol>\n<li>Pull Search Console and filter by Search Appearance and Query to confirm whether click loss concentrates on informational queries where AI Overviews appear.<\/li>\n<li>Run a baseline visibility audit across ChatGPT, Google AI Overviews, Perplexity, and Gemini to establish what the assistants currently say about the business and whether any of it is wrong.<\/li>\n<li>Confirm AI crawlers are unblocked, schema is present, and pages are machine-parseable, then fix any gaps before publishing new content.<\/li>\n<li>Extract fan-out queries directly from ChatGPT for each core service or product area and align URLs, titles, H1s, and H2s to that language.<\/li>\n<li>Set impression-decay tripwires at a 20% drop threshold to auto-queue refreshes before decay becomes invisible in monthly reporting.<\/li>\n<li>Shift the reporting dashboard from rank position to citation share, share of answer, AI referrer traffic, and branded search volume as a zero-click proxy.<\/li>\n<li>Establish a publishing cadence that combines new articles with continuous refreshes. In Arjun&#8217;s test lab, 5\u20138 autonomous actions per day via AI Growth Agent produced the only source of new impressions on the domain within 60 days.<\/li>\n<\/ol>\n<p>The window for outsized gains is open now for the same reason it was open in the early SEO era. Businesses that decode the new answer layer first earn citations that become tomorrow&#8217;s settled record. Early citations gain incumbency, and the cost of entry rises as answers harden.<\/p>\n<p>Follow Arjun Karnik&#8217;s link to AI Growth Agent&#8217;s system to see the record-framing approach in practice. <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Schedule a walkthrough to see how your business can earn citations in AI answers.<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rankings up, clicks down? Discover why AI Overviews are slashing SEO traffic \u2014 and how Arjun Karnik&#8217;s GEO system wins back your visibility.<\/p>\n","protected":false},"author":118,"featured_media":26,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-27","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\/27","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=27"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/27\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/26"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=27"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=27"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}