{"id":247,"date":"2026-08-24T05:01:57","date_gmt":"2026-08-24T05:01:57","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/ai-search-optimization-consultants"},"modified":"2026-08-24T05:01:57","modified_gmt":"2026-08-24T05:01:57","slug":"ai-search-optimization-consultants","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/ai-search-optimization-consultants","title":{"rendered":"AI Search Optimization for Consultants: The 5-Layer Playbook"},"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>The 5-layer system replaces decaying SEO clicks with AI citations by combining Visibility Audit, Technical Plumbing, Fan-Out Query Mapping, Structured Publishing, and a Freshness Loop.<\/li>\n<li>AI Overviews now appear in most searches, cutting traditional clicks to 8% and making citations the primary performance metric instead of rankings.<\/li>\n<li>Technical barriers like robots.txt blocks, missing schema, and nosnippet tags silently prevent even top-ranking pages from being cited by AI engines.<\/li>\n<li>Fan-out queries hidden beneath each buyer prompt mean optimizing for the typed keyword alone misses the real retrieval surface that drives citations.<\/li>\n<li>Book a demo with Arjun Karnik to see the 5-layer system applied to your domain and category at <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">akarnik.com\/demo<\/a>.<\/li>\n<\/ul>\n<h2>Why Traditional SEO No Longer Reaches Your Buyers<\/h2>\n<p>Buyers now ask AI assistants for vendor recommendations instead of clicking through long search result pages. ChatGPT, Perplexity, Gemini, and Google AI Overviews answer those questions directly and often never show your site. If your business is not cited inside those answers, you are removed from the consideration set before sales ever hears the opportunity existed.<\/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>AI search optimization focuses on earning citations and mentions inside those answers. The 5-layer system below gives consultants and small firms a practical way to diagnose where they stand, repair technical gaps, and publish content that AI engines can read, trust, and reuse. Each layer builds on the previous one, so the sequence matters.<\/p>\n<h2>How Do I Know If AI Already Mentions My Business?<\/h2>\n<p>The Visibility Audit is the starting line. Before publishing a new page or touching a title tag, the audit captures the current state of AI visibility across four major surfaces: ChatGPT, Google AI Overviews, Perplexity, and Gemini. It replaces guesswork about what assistants say about the business and which competitors they recommend instead.<\/p>\n<p>The audit runs a structured prompt library against each engine, logging whether the business is mentioned, whether it is cited with a URL, where competitors appear instead, and how the answer frames the brand when it does appear. Sentiment matters here. A wrong AI answer hurts more than no answer, and the audit surfaces both gaps and errors at the same time.<\/p>\n<p>The scale of the audience makes this urgent. <a href=\"https:\/\/openai.com\/index\/chatgpt\/\" target=\"_blank\" rel=\"noindex nofollow\">OpenAI reported 900 million weekly active ChatGPT users in February 2026.<\/a> At Google I\/O in May 2026, Sundar Pichai put AI Overviews at over 2.5 billion monthly active users and AI Mode at over 1 billion monthly active users within its first year. These are primary research environments for buyers who are already making vendor decisions before any sales contact occurs.<\/p>\n<p>On Arjun&#8217;s own site, the audit revealed citation gaps on core topics where competitors with less expertise were being named. That finding drove every downstream decision. The audit is not a one-time exercise. It becomes the control group against which every later result is measured. The next step after establishing that baseline is making sure the machine can actually read what it finds.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">See how the Visibility Audit applies to your category and review your current AI citation baseline in a demo.<\/a><\/p>\n<h2>Why AI Engines Cannot Read Many High-Ranking Sites<\/h2>\n<p>Technical Plumbing is the most common silent blocker in generative engine optimization. A site can rank in Google\u2019s top ten and still be invisible to AI citation systems because the retrieval layer cannot parse it. <a href=\"https:\/\/digitalapplied.com\/blog\/ai-search-citation-ranking-factors-2026-data-study\" target=\"_blank\" rel=\"noindex nofollow\">Cyrus Shepard&#8217;s May 2026 Zyppy meta-analysis of 54 studies scored URL accessibility at 9.5 out of 10 as the top AI citation factor across ChatGPT, Gemini, and Perplexity, and found that robots.txt blocks, paywalls, or server errors render URLs invisible to AI citation systems.<\/a><\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1786472197479-b9e2170ef2ff.png\" alt=\"Content editor Properties tab showing a social preview card with thumbnail, title, description and publish date, article details for blog type and category, a rich schema markup check reading two valid items detected for Articles and FAQ, and the start of the external links list.\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Everything that decides how a machine reads the page. Social preview, article type, schema validation and outbound links all sit in one panel.<\/em><\/figcaption><\/figure>\n<p>Three conditions must be true before any content strategy can work. AI crawlers must be unblocked. Schema markup must be present. Pages must be machine-parseable. <a href=\"https:\/\/auracite.de\/content\/research\/state-of-ai-visibility-2026.html\" target=\"_blank\" rel=\"noindex nofollow\">AuraCite\u2019s Q1 2026 monitoring found that brands implementing comprehensive Schema.org structured data achieve higher citation rates and accuracy compared to brands with no structured data.<\/a><\/p>\n<table>\n<thead>\n<tr>\n<th>Task<\/th>\n<th>What to Check<\/th>\n<th>Why It Matters<\/th>\n<th>Priority<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Unblock AI crawlers<\/td>\n<td>robots.txt permits GPTBot, Google-Extended, PerplexityBot<\/td>\n<td>Blocked crawlers cannot index content for citation<\/td>\n<td>Fix first<\/td>\n<\/tr>\n<tr>\n<td>Add schema markup<\/td>\n<td>Organization, Person, Article, FAQPage schemas present<\/td>\n<td><a href=\"https:\/\/schemaapp.com\/schema-markup\/case-study-entity-linking-increases-aio-visibility\" target=\"_blank\" rel=\"noindex nofollow\">Entity linking via schema increased AI Overview visibility by 19.72% in Schema App&#8217;s internal case study<\/a><\/td>\n<td>Fix first<\/td>\n<\/tr>\n<tr>\n<td>Ensure 200 status codes<\/td>\n<td>All key pages return 200 during crawl windows<\/td>\n<td>Errors and redirects suppress citation eligibility<\/td>\n<td>Fix first<\/td>\n<\/tr>\n<tr>\n<td>Remove nosnippet directives<\/td>\n<td>No nosnippet meta tags on citation-target pages<\/td>\n<td><a href=\"https:\/\/digitalapplied.com\/blog\/ai-search-citation-ranking-factors-2026-data-study\" target=\"_blank\" rel=\"noindex nofollow\">Nosnippet directives can reduce or eliminate AI citation visibility because engines rely on snippet data during grounding<\/a><\/td>\n<td>Fix first<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This layer is a one-time correction with ongoing maintenance, not a campaign. Without it, every downstream investment in content is spent on pages the machine cannot access. Once the plumbing is in place, the next decision is what questions to publish against.<\/p>\n<h2>What Questions Is the AI Actually Asking Behind My Keyword?<\/h2>\n<p>Fan-Out Query Mapping addresses the core mechanic that most businesses miss. A single buyer prompt does not produce a single lookup. It triggers dozens of hidden retrieval queries underneath, and the answer is assembled from what comes back across all of them. Optimizing for the visible keyword while ignoring the fan-out means optimizing for the wrong surface.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">A Moz analysis of 40,000 queries found that 88% of Google AI Mode citations do not appear in the organic top 10 search results for the same queries.<\/a> This is the fan-out effect in practice. The machine is retrieving from a much wider surface than traditional keyword rankings cover.<\/p>\n<p>The mapping process extracts fan-out queries directly from ChatGPT rather than inferring them from keyword tools, because the target is the machine&#8217;s questions, not the human&#8217;s typed query. That map becomes the production queue. It determines what gets written and, critically, what language it gets written in. In a test on Arjun&#8217;s own site, pages rewritten to match extracted fan-out queries earned citations while control pages did not.<\/p>\n<p>The buyer-language component matters as much as the structural one. A page titled &#8220;What is GEO&#8221; was relabelled &#8220;How to Get Your Business Recommended by AI Search,&#8221; with the slug, title, H1, and H2s all realigned to buyer questions. Citations followed within weeks of that specific change. <a href=\"https:\/\/radiantelephant.com\/geo-tactics-what-works-evidence-based-research-review\" target=\"_blank\" rel=\"noindex nofollow\">Wellows research found topical authority correlates with AI citation, while domain authority explains less of the citation variance.<\/a> Coverage of the fan-out question space is the lever. Domain authority is not.<\/p>\n<p>Once the question map is built, the challenge is publishing against it at a cadence the channel actually rewards.<\/p>\n<h2>How Do I Publish at the Cadence AI Actually Rewards?<\/h2>\n<p>Structured Publishing at Machine Cadence is where most solo consultants and small firms hit a hard constraint. The channel requires continuous publishing plus continuous refreshing across a mapped question space. That is a full-time function, and in a business with zero to three marketers there is no one to assign it to.<\/p>\n<p>The practical answer is an AI article engine deployed on a site subfolder, running via AI Growth Agent at 5 to 8 autonomous actions per day, with new articles combined with updates to existing ones. Query language goes into URLs, titles, and H1s. Schema goes on everything. 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, with new articles reaching thousands of monthly Google impressions within weeks.<\/p>\n<p>The structural requirements for citation are specific, and they align with how AI retrieval systems parse content during the grounding phase. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics increases AI citation visibility by approximately 31 to 33% and adding quotations by approximately 41 to 43%, according to the Princeton GEO study.<\/a> Statistics and quotations act as high-confidence anchor points because they give the model verifiable facts to extract. <a href=\"https:\/\/pixis.ai\/blog\/the-ai-trust-ecosystem-getting-cited-by-ai\" target=\"_blank\" rel=\"noindex nofollow\">Pages with structured H2 headings phrased as questions are cited more often than unstructured prose, and answer capsules at page openings yield a higher citation rate, according to Semrush\u2019s 2025 State of AI Search.<\/a> Question-structured headings map directly to the fan-out queries the system is running underneath each buyer prompt.<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>Traditional SEO<\/th>\n<th>Generative Engine Optimization<\/th>\n<th>Why It Changed<\/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<td>Buyers ask assistants, not search engines<\/td>\n<\/tr>\n<tr>\n<td>Query model<\/td>\n<td>The keyword the buyer typed<\/td>\n<td>Dozens of hidden fan-out queries triggered by one prompt<\/td>\n<td><a href=\"https:\/\/digitalapplied.com\/blog\/ai-search-citation-ranking-factors-2026-data-study\" target=\"_blank\" rel=\"noindex nofollow\">Only 38% of AI Overview citations now come from pages ranking in Google&#8217;s top 10, down from 76% in mid-2025<\/a><\/td>\n<\/tr>\n<tr>\n<td>Success metric<\/td>\n<td>Rankings and click-through rate<\/td>\n<td>Citations, mentions, share of voice<\/td>\n<td><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Zero-click rate reached 68.01% for Google searches in January through April 2026<\/a><\/td>\n<\/tr>\n<tr>\n<td>Authority source<\/td>\n<td>Backlinks and domain authority<\/td>\n<td>Topical coverage and entity corroboration<\/td>\n<td><a href=\"https:\/\/radiantelephant.com\/geo-tactics-what-works-evidence-based-research-review\" target=\"_blank\" rel=\"noindex nofollow\">Brand web mentions correlate at 0.664 with AI citation versus 0.218 for backlinks<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">Watch the structured publishing model in action on a live domain during a demo walkthrough.<\/a><\/p>\n<h2>What Happens When Content Goes Stale?<\/h2>\n<p>The Freshness Loop is the layer that separates a one-time content push from a compounding asset. In Arjun&#8217;s own tests, pages can drop 78% to 99% in two months without updates. That decay is invisible unless the site is instrumented for it, and by the time it shows up in a monthly report the citation position is already gone.<\/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 independent research points the same direction. 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 pages cited consistently across all four months averaging under six months since their last update. The page that was refreshed beats the page that was written.<\/p>\n<p><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, according to Searchless internal benchmark data.<\/a> The game resets weekly. A fixed library of any size decays in place without a maintenance loop.<\/p>\n<p>The Freshness Loop runs on impression-decay tripwires wired to Google Search Console signals. When a page&#8217;s performance drops past a threshold calibrated against Arjun&#8217;s measured decay curves, an update is automatically queued in AI Growth Agent. The content repairs itself rather than 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 is precisely why it is where a challenger wins. But sustaining freshness only matters if you measure the outcomes that freshness drives, and in AI search that means tracking share of answer, not traditional rankings.<\/p>\n<p><a href=\"https:\/\/parse.gl\/blog\/content-freshness-ai-visibility\" target=\"_blank\" rel=\"noindex nofollow\">SE Ranking\u2019s November 2025 analysis found pages updated in the past three months averaged more AI citations than older equivalents on the same content theme.<\/a> A substantive refresh requires more than a timestamp change. A 20 to 30% body-text change plus at least one updated data point, source, or example per major section registers a freshness lift with AI retrieval systems.<\/p>\n<h2>How Do I Measure Share of Answer Instead of Rankings?<\/h2>\n<p>Share of answer replaces rank position as the headline metric. The measurement dashboard tracks five things simultaneously. It tracks citation rate, which is the percentage of tracked prompts where a URL appears as a source. It tracks mention rate, which is the percentage where the brand name appears in answer text. It tracks AI referral traffic from chatgpt.com and equivalents in analytics. It tracks impression and decay curves in Google Search Console. It also tracks competitive share of voice across all four surfaces.<\/p>\n<p><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 prompt library that feeds this measurement should cover 15 to 50 real buyer questions across brand, category, comparison, and best-option clusters, run across ChatGPT, Perplexity, Google AI Overviews, and Gemini in signed-out sessions.<\/p>\n<p>One honest caveat applies to every number this dashboard produces. Buyers frequently copy an answer and paste a name directly into a browser, which lands in analytics as direct traffic and never gets attributed to the AI answer that caused it. Whatever the dashboard measures is a floor, not a ceiling. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">AI Growth Agent clients average more than 12,000 additional AI citations and mentions, over 100,000 additional bot visits, and a 20% or greater lift in impressions across the first twelve weeks.<\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is generative engine optimization and how is it different from SEO?<\/h3>\n<p>Generative engine optimization (GEO) is the practice of structuring, publishing, and refreshing content so that AI answer engines such as ChatGPT, Google AI Overviews, Perplexity, and Gemini cite, mention, and recommend a business when buyers ask relevant questions. The difference from SEO is structural, not cosmetic. SEO targets position on a human-readable ranked list, where authority comes from backlinks and domain authority. GEO targets citation inside a machine-generated answer, where authority comes from topical coverage, entity corroboration, and content freshness. SEO targets the keyword the buyer typed. GEO targets the dozens of fan-out queries the machine generates underneath a single buyer prompt. The success metric in SEO is a ranking. The success metric in GEO is share of answer, which measures how often the business appears in the answer, not where it sits on a list.<\/p>\n<h3>How long does it take to see results from AI search optimization?<\/h3>\n<p>The timeline has three stages. Coverage and impressions appear within weeks of publishing structured, schema-marked content aligned to fan-out query language. On Arjun&#8217;s own site, new articles reached thousands of monthly Google impressions within weeks of publication. Citations in ChatGPT, Perplexity, and Google AI Overviews typically follow within one to three months, particularly after buyer-language alignment and technical plumbing are in place. Compounding, where topical authority accumulates and citation share grows across head terms, begins after month three. These timelines assume the technical plumbing is fixed first. If AI crawlers are blocked or schema is absent, nothing downstream works until those issues are resolved.<\/p>\n<h3>What does AI search optimization cost compared to traditional content marketing?<\/h3>\n<p>The market benchmarks for comparison are approximately $5,000 per month for an AI content engine running at machine cadence versus approximately $10,000 per month for a human content agency producing seven to ten articles with no refresh loop. The second option buys stronger prose. The first buys volume, structure, and freshness, which are the three things the channel actually rewards. The more important cost comparison is opportunity cost. In Arjun&#8217;s tests, a fixed library of any size decays 78% to 99% in two months without maintenance. A human agency producing ten articles a month with no refresh loop is producing content that will be invisible within weeks of publication. These are market benchmarks used for context, not Arjun&#8217;s rates.<\/p>\n<h3>What technical prerequisites must be in place before GEO can work?<\/h3>\n<p>Three conditions must be true before any content strategy produces citations. First, AI crawlers must be explicitly permitted in robots.txt. GPTBot, Google-Extended, and PerplexityBot are blocked by default on many sites and must be unblocked. Second, schema markup must be present across all key pages, including Organization, Person, Article, and FAQPage schemas at minimum. Third, all citation-target pages must return 200 status codes and must not carry nosnippet meta directives, which suppress the snippet data AI engines rely on during grounding. Without these three conditions, content that ranks in Google&#8217;s top ten can still be completely invisible to AI citation systems. Technical plumbing is fixed first, before any content strategy is applied.<\/p>\n<h3>How do I defend against AI saying wrong things about my business?<\/h3>\n<p>Defensive GEO runs in parallel with growth work, not after it. The Visibility Audit across ChatGPT, Google AI Overviews, Perplexity, and Gemini surfaces both gaps and errors at the same time, including places where the business is absent and places where the assistant is saying something inaccurate or misleading. A wrong AI answer hurts more than no answer, because buyers who encounter it arrive with incorrect expectations or do not arrive at all. Correcting the record requires publishing accurate, structured, entity-consistent content that gives the retrieval layer a better source to pull from. Schema markup with sameAs links connecting owned properties to authoritative third-party profiles removes friction from AI classification. The audit is revisited on a cycle because model answers change as training data and retrieval indexes update.<\/p>\n<h2>Conclusion<\/h2>\n<p>The operating model is five layers in sequence. Visibility Audit establishes the baseline. Technical Plumbing makes the site machine-readable. Fan-Out Query Mapping targets the right retrieval surface. Structured Publishing at Machine Cadence fills that surface with fresh structured answers. The Freshness Loop prevents decay from erasing what was built. Share of answer, which includes citations, mentions, and AI referral traffic, replaces rankings as the measurement target.<\/p>\n<p>The window for outsized gains is open now. <a href=\"https:\/\/demandgenreport.com\/industry-news\/feature\/dgr-report-on-the-answer-economy-why-aeo-now-decides-which-vendors-make-the-shortlist\/53449\" target=\"_blank\" rel=\"noindex nofollow\">G2&#8217;s 2026 report found that 69% of B2B buyers chose a different software vendor than they initially planned based on AI chatbot guidance, and one-third purchased from a vendor they had never previously heard of.<\/a> Being in the answer is a vendor-selection event, not a visibility metric. Early citations become tomorrow&#8217;s settled record, and answers gain incumbency the same way early SEO rankings did.<\/p>\n<p>The system documented here is self-verifying. Ask an AI assistant about generative engine optimization and see who gets cited. The same methodology being described is what produces the visibility.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">Ready to apply the 5-layer system to your domain? Book a demo to see your citation gaps and the roadmap to close them.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Stop losing buyers to AI search. Arjun Karnik&#8217;s 5-layer GEO playbook helps consultants win more citations and grow share of answer. Start today.<\/p>\n","protected":false},"author":118,"featured_media":246,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-247","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\/247","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=247"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/247\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/246"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=247"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=247"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}