{"id":460,"date":"2026-09-07T05:01:26","date_gmt":"2026-09-07T05:01:26","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/best-b2b-content-marketing-practices"},"modified":"2026-09-07T05:01:26","modified_gmt":"2026-09-07T05:01:26","slug":"best-b2b-content-marketing-practices","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/best-b2b-content-marketing-practices","title":{"rendered":"B2B Content Marketing Best Practices: The 2026 Guide"},"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>B2B content marketing now revolves around earning AI citations instead of chasing traditional clicks, as 71% of buyers use AI chatbots for research and zero-click rates have reached 68%.<\/li>\n<li>Traditional SEO signals like backlinks and domain authority have given way to content freshness, which drives 40% of AI ranking signals and produces 3.2\u00d7 more citations for pages under 30 days old.<\/li>\n<li>Content decays rapidly without maintenance, with pages losing 78\u201399% visibility in two months, so continuous freshness loops keep AI citations alive.<\/li>\n<li>Winning programs map fan-out queries from AI assistants, structure content with answer-first sections and schema, and mirror buyer phrasing instead of industry jargon.<\/li>\n<li>Arjun Karnik\u2019s documented GEO methodology delivers these outcomes; <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>walk through the full framework in a live demo<\/strong><\/a> for your content program.<\/li>\n<\/ul>\n<h2>Why Traditional B2B Content Marketing Is Failing<\/h2>\n<p>The \u201cSearch Console scissors\u201d tell the story: impressions climb while clicks fall. AI systems read your content to construct answers, yet they rarely send buyers back to your site. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">A G2 survey of 1,076 B2B decision-makers found that 33% bought from a vendor they had never heard of before the AI surfaced it<\/a>, so the assistant now acts as a vendor-selection mechanism and not only a research helper.<\/p>\n<p>Content decays faster than most teams realize. In Arjun Karnik\u2019s own tests, pages can drop 78% to 99% in two months without updates. The content library built over years quietly loses value while dashboards still report stable rankings.<\/p>\n<p>Authority signals have also inverted. Backlinks and domain authority no longer determine AI visibility. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Content freshness accounts for 40% of Perplexity\u2019s 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 to 60% month over month<\/a>, which makes freshness the core of the game.<\/p>\n<p>This shift explains why traditional SEO agencies, human content agencies, and one-shot AI content tools all break on the same three variables: volume, structure, and freshness. None of them deliver all three simultaneously at the cadence the AI discovery layer now expects. To close that gap, you need a focused set of practices built for AI retrieval.<\/p>\n<h2>The 8 Core B2B Content Marketing Best Practices For AI Discovery<\/h2>\n<ol>\n<li><strong>Set Citation-Based Goals And KPIs<\/strong><\/li>\n<\/ol>\n<p>Move from clicks to citations, share of voice, and pipeline influence. Track mentions across ChatGPT, Google AI Overviews, Perplexity, and Gemini. <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><\/p>\n<ol start=\"2\">\n<li><strong>Research Fan-Out Queries, Not Just Keywords<\/strong><\/li>\n<\/ol>\n<p>A single buyer prompt triggers dozens of hidden retrieval queries. In a documented test on Arjun Karnik\u2019s own site, pages rewritten to match extracted ChatGPT fan-out queries earned citations while control pages did not.<\/p>\n<ol start=\"3\">\n<li><strong>Map Content To The Funnel And AI Answers<\/strong><\/li>\n<\/ol>\n<p>Create content for each buying stage, then structure top-funnel content to answer the questions AI assistants surface. <a href=\"https:\/\/machinerelations.ai\/research\/b2b-ai-vendor-research-2026\" target=\"_blank\" rel=\"noindex nofollow\">Forrester\u2019s 2026 Buyers\u2019 Journey Survey of 18,000 global business buyers found that 55% use AI tools to compare vendors before any vendor contact.<\/a><\/p>\n<ol start=\"4\">\n<li><strong>Write Problem-Solving Content In Buyer Language<\/strong><\/li>\n<\/ol>\n<p>Use the phrases buyers actually type when they ask AI for help. In Arjun\u2019s test lab, a page titled \u201cWhat Is GEO\u201d was relabeled \u201cHow To Get Your Business Recommended By AI Search.\u201d Citations followed within weeks of that specific change.<\/p>\n<ol start=\"5\">\n<li><strong>Structure Pages For AI Retrieval<\/strong><\/li>\n<\/ol>\n<p>Use answer-first headings, bullet points, schema markup, and self-contained sections of 100\u2013300 words. <a href=\"https:\/\/competlab.com\/ai-visibility\/nlp-content-mirroring\" target=\"_blank\" rel=\"noindex nofollow\">A CXL study of 100 AI Overview citations found that 55% of citations come from the first 30% of page content.<\/a><\/p>\n<ol start=\"6\">\n<li><strong>Maintain A Continuous Freshness Loop<\/strong><\/li>\n<\/ol>\n<p>Use the 78\u201399% two-month decay rate mentioned earlier as your warning signal. Arjun\u2019s system uses impression-decay tripwires via AI Growth Agent that auto-queue updates when performance drops, creating self-healing content that repairs itself on a loop.<\/p>\n<ol start=\"7\">\n<li><strong>Make Every Asset AI-Accessible<\/strong><\/li>\n<\/ol>\n<p>Provide transcripts for video, avoid gating core educational content, and confirm that AI crawlers are not blocked. <a href=\"https:\/\/fiftyfiveandfive.com\/resources\/how-to-build-content-that-ai-search-engines-actually-cite\" target=\"_blank\" rel=\"noindex nofollow\">99.3% of LLM citations come from open-access sources, so gated content remains essentially invisible to AI crawlers.<\/a><\/p>\n<ol start=\"8\">\n<li><strong>Audit AI Visibility On A Regular Cadence<\/strong><\/li>\n<\/ol>\n<p>Check your presence in ChatGPT, Perplexity, and AI Overviews for priority topics at least annually. Treat gaps as your production queue for the next planning cycle.<\/p>\n<h2>How To Create Content That Earns AI Citations<\/h2>\n<h3>Start With Fan-Out Query Research<\/h3>\n<p>One buyer prompt triggers dozens of hidden queries. Extract those queries directly from ChatGPT instead of inferring them from keyword tools, because the real target is the machine\u2019s internal questions. <a href=\"https:\/\/parse.gl\/blog\/content-structure-for-ai-citation\" target=\"_blank\" rel=\"noindex nofollow\">AirOps found that 95% of ChatGPT fan-out queries had zero monthly search volume in traditional keyword tools<\/a>, so keyword-only research misses most of the retrieval surface.<\/p>\n<h3>Match Buyer Language To Those Queries<\/h3>\n<p>Jargon blocks relevance at the exact moment the machine matches a question to an answer. Use the words buyers type, not the words practitioners prefer. The relabeling test on Arjun\u2019s site, where he moved from category jargon to buyer-question phrasing, produced citations within weeks.<\/p>\n<h3>Publish With Clear, Machine-Readable Structure<\/h3>\n<p>Place query language in URLs, titles, and H1s. Add schema markup across your library. <a href=\"https:\/\/amicited.com\/how-to\/structure-content-for-ai-citation\" target=\"_blank\" rel=\"noindex nofollow\">FAQPage schema delivers a 200%+ higher citation rate<\/a> compared to unstructured pages. Answer-first formatting gives the retrieval layer a self-contained unit to extract instead of a long preamble.<\/p>\n<h3>Build A Freshness Loop Around Decay<\/h3>\n<p>Use the earlier 78\u201399% decay rate as your design constraint. Arjun\u2019s system, run via AI Growth Agent, uses impression-decay tripwires that auto-queue updates, so content refreshes continuously instead of waiting for a quarterly audit.<\/p>\n<h3>Fix Technical Plumbing Before Scaling<\/h3>\n<p>Unblock AI crawlers, add schema, and make pages easy for machines to parse. <a href=\"https:\/\/rawmktg.com\/blogs\/schema-markup-ai-citations-2026\" target=\"_blank\" rel=\"noindex nofollow\">Major AI crawlers including GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, and Google-Extended will crawl a site unless explicitly blocked<\/a>, and blocking them removes any chance of AI citation regardless of content quality.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Explore Arjun Karnik\u2019s full citation-earning workflow in a demo<\/strong><\/a> and see how these steps connect inside a live program.<\/p>\n<h2>Measuring What Matters: From Clicks To Citations And Revenue<\/h2>\n<p>Once your content is structured and fresh, the next step is measuring its impact in AI environments. The table below contrasts traditional SEO metrics with AI-era GEO metrics.<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>Traditional SEO<\/th>\n<th>AI-Era GEO<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Primary success signal<\/td>\n<td>Rankings<\/td>\n<td>Citations, mentions, share of voice<\/td>\n<\/tr>\n<tr>\n<td>Authority source<\/td>\n<td>Backlinks, domain authority<\/td>\n<td>Expert topical coverage and freshness<\/td>\n<\/tr>\n<tr>\n<td>Query model<\/td>\n<td>The typed query<\/td>\n<td>Dozens of hidden fan-out queries triggered by one prompt<\/td>\n<\/tr>\n<tr>\n<td>Sustainability<\/td>\n<td>Accumulated domain authority<\/td>\n<td>Continuous freshness, with <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">citations changing 40\u201360% month over month<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Track AI referrers like chatgpt.com, because <a href=\"https:\/\/quickseo.ai\/blog\/b2b-buyers-ai-chatbot-research-2026-stats\" target=\"_blank\" rel=\"noindex nofollow\">Semrush concluded that the average LLM visitor is worth 4.4\u00d7 the average traditional organic search visitor<\/a>. Attribution has limits, since buyers often copy an answer and paste a name into a browser, which shows up as direct traffic. Whatever you measure represents a floor, so instrument for citations and share of answers instead of grading a channel on a metric it no longer produces.<\/p>\n<p>On Arjun Karnik\u2019s own site, the GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days, measured in Google Search Console. New articles reached thousands of monthly Google impressions within weeks. These numbers come from his own property and do not represent generalized market claims.<\/p>\n<h2>Common Content Frameworks In The AI Era<\/h2>\n<p>Classic content frameworks still help, and they become more useful when you interpret them through an AI-era lens.<\/p>\n<p><strong>What Is The Rule Of 7 In B2B Marketing?<\/strong> The traditional rule held that prospects needed seven touches before converting. <a href=\"https:\/\/quickseo.ai\/blog\/b2b-buyers-ai-chatbot-research-2026-stats\" target=\"_blank\" rel=\"noindex nofollow\">G2\u2019s 2026 data shows that 80% of B2B software buyers say AI accelerated their purchase decision<\/a>, which compresses those touchpoints. A single AI citation can replace multiple impressions by delivering a pre-synthesized recommendation before the buyer contacts any vendor.<\/p>\n<p><strong>What Are The Five C\u2019s Of Content Marketing?<\/strong> Customer, Context, Content, Channel, and Conversion. The framework still applies, and \u201cContext\u201d now includes AI retrieval context, meaning the fan-out queries underneath a buyer\u2019s prompt. \u201cChannel\u201d now includes ChatGPT, Perplexity, Google AI Overviews, and Gemini as primary discovery surfaces.<\/p>\n<p><strong>What Are The Five Pillars Of Content Strategy?<\/strong> Audience, Topic, Format, Distribution, and Measurement. In the AI era, \u201cTopic\u201d means fan-out query coverage mapped directly from AI assistants, and \u201cMeasurement\u201d means citation tracking across all major AI surfaces alongside traditional Search Console signals.<\/p>\n<h2>Why Arjun Karnik\u2019s Test Lab Leads These Best Practices<\/h2>\n<p>Arjun Karnik is a twenty-year tech marketer and former B2B software CMO who runs a public test lab under his own name. He documents exactly what gets a business cited in AI answers and publishes the receipts, including misses.<\/p>\n<p>He does not operate as an agency, tool, or course provider. He publishes specific tests, numbers, and failures from his own site, measured in his own Google Search Console. The methodology is self-verifying, because anyone can ask an AI assistant about his topics and see who gets cited.<\/p>\n<p>His system covers the full framework: visibility audit, technical plumbing, fan-out query mapping, buyer-language alignment, structured publishing at machine cadence via AI Growth Agent, freshness loops with impression-decay tripwires, and citation measurement across all major AI surfaces. He discloses his AI Growth Agent partnership, and his numbers are always labelled as his results.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>See the documented tests in a demo and apply this methodology to your own program<\/strong><\/a>.<\/p>\n<h2>A Practical Action Plan For 2026<\/h2>\n<ol>\n<li><strong>Conduct An AI Visibility Audit<\/strong><\/li>\n<\/ol>\n<p>Establish where you appear in ChatGPT, Perplexity, and AI Overviews for priority topics. Use this as the baseline for every later result.<\/p>\n<ol start=\"2\">\n<li><strong>Fix Technical Plumbing<\/strong><\/li>\n<\/ol>\n<p>Unblock AI crawlers, add schema markup, and make pages machine-parseable. Every downstream tactic depends on this foundation.<\/p>\n<ol start=\"3\">\n<li><strong>Map Fan-Out Queries<\/strong><\/li>\n<\/ol>\n<p>Extract fan-out queries for key topics directly from ChatGPT instead of relying only on keyword tools.<\/p>\n<ol start=\"4\">\n<li><strong>Rewrite High-Value Content<\/strong><\/li>\n<\/ol>\n<p>Align existing high-value content to buyer language and answer-first structure, with query language in URLs, titles, H1s, and H2s.<\/p>\n<ol start=\"5\">\n<li><strong>Implement A Freshness Loop<\/strong><\/li>\n<\/ol>\n<p>Set up automated updates triggered by impression decay so the content library stops silently losing value.<\/p>\n<ol start=\"6\">\n<li><strong>Measure Citations And Share Of Voice Monthly<\/strong><\/li>\n<\/ol>\n<p>Track citations across ChatGPT, Google AI Overviews, Perplexity, and Gemini, alongside AI referrer traffic in analytics.<\/p>\n<h2>Conclusion: Content Marketing Has Changed For The AI Era<\/h2>\n<p>B2B content marketing best practices have fundamentally shifted. Success now requires earning AI citations as the primary visibility outcome. <a href=\"https:\/\/machinerelations.ai\/research\/b2b-ai-vendor-research-2026\" target=\"_blank\" rel=\"noindex nofollow\">Forrester\u2019s 2026 buyer data concludes that providers must evolve from driving traffic through search engine optimization to driving visibility through answer engine optimization.<\/a> Buyers start with assistants, content decays without freshness, and relevance now beats tenure.<\/p>\n<p>To see the proof, ask an AI assistant about B2B content marketing best practices and note who appears. Then <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>implement these practices with a live walkthrough of Arjun Karnik\u2019s methodology<\/strong><\/a>.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What Is The Difference Between SEO And GEO For B2B Content Marketing?<\/h3>\n<p>SEO, or Search Engine Optimization, focuses on ranking content on human-readable lists of blue links and uses backlinks and domain authority as currency. GEO, or Generative Engine Optimization, focuses on getting content cited inside machine-generated answers from AI assistants like ChatGPT, Perplexity, Google AI Overviews, and Gemini.<\/p>\n<p>The retrieval mechanics differ. SEO targets the query the buyer typed, while GEO targets dozens of hidden fan-out queries triggered by a single buyer prompt. SEO measures rankings and clicks, while GEO measures citations, mentions, and share of voice.<\/p>\n<p>Authority in SEO compounds through backlinks over time. Authority in GEO comes from topical coverage and continuous freshness, so performance resets weekly instead of compounding indefinitely. A business can hold strong SEO rankings yet remain absent from AI answers, because the two surfaces use different signals and reward different behaviors.<\/p>\n<h3>How Quickly Can B2B Content Earn AI Citations After Optimization?<\/h3>\n<p>The timeline depends on the platform and the changes you make. <a href=\"https:\/\/seattleorganicseo.com\/the-ultimate-guide-on-how-to-structure-content-to-be-cited-by-artificial-intelligence-ai-systems\" target=\"_blank\" rel=\"noindex nofollow\">Perplexity responds fastest due to its recency bias, with some citation appearances within days of publishing or updating structured content<\/a>. <a href=\"https:\/\/competlab.com\/ai-visibility\/nlp-content-mirroring\" target=\"_blank\" rel=\"noindex nofollow\">Google AI Overviews typically reflect changes within two to four weeks as pages get recrawled and reindexed<\/a>. ChatGPT operates on a different index refresh schedule.<\/p>\n<p>In Arjun Karnik\u2019s tests on his site, new articles reached thousands of monthly Google impressions within weeks, and pages rewritten to match extracted fan-out queries earned citations while control pages did not. The buyer-language relabeling test produced citations within weeks of that specific change.<\/p>\n<p>A practical framing is that coverage and impressions often appear in weeks, citations in one to three months, and compounding after month three. These timelines depend on fixing technical plumbing first, publishing with proper structure, and maintaining a freshness loop instead of publishing once and walking away.<\/p>\n<h3>What Content Formats Are Most Likely To Be Cited By AI Assistants?<\/h3>\n<p>AI systems extract and score discrete passages rather than reading content top to bottom, so format strongly influences citation probability. Answer-first sections of 100 to 300 words, where each section opens with a direct self-contained answer to an implied question, form the base unit of AI-citable content.<\/p>\n<p>Question-based H2 headings that mirror how buyers actually ask in chat tools signal that the section is an answer candidate. <a href=\"https:\/\/pepper.inc\/blog\/how-to-structure-content-for-ai-citation\" target=\"_blank\" rel=\"noindex nofollow\">Comparison tables are consistently among the most-cited formats because each cell contains a complete, independently quotable fact<\/a>. <a href=\"https:\/\/ziptie.dev\/blog\/faq-schema-for-ai-answers\" target=\"_blank\" rel=\"noindex nofollow\">FAQ sections with FAQPage schema perform well because the question-and-answer structure matches how AI retrieval works<\/a>.<\/p>\n<p>Numbered lists and step-by-step how-to content map cleanly to procedural queries. Content that includes specific statistics with named sources and dates is more citable than qualitative claims, because AI systems can verify and extract a specific, attributed figure more reliably. Gated content, PDFs, and pages that block AI crawlers remain effectively invisible regardless of quality.<\/p>\n<h3>How Should B2B Marketers Measure Content Performance In The AI Era?<\/h3>\n<p>Measurement must shift from rankings and clicks to citations, mentions, and share of voice. The primary surfaces to track are ChatGPT, Google AI Overviews, Perplexity, and Gemini, checking whether the business appears in answers for priority topics and in what context.<\/p>\n<p>AI referrer traffic from chatgpt.com and similar sources should be segmented in analytics and treated as a distinct traffic class, because it converts more like a referral than cold search traffic. Google Search Console still provides the main view into impressions, clicks, and decay curves, and the scissors chart, where impressions rise while clicks fall, signals that AI systems consume content without returning traffic.<\/p>\n<p>One caveat applies to all AI-era measurement. Buyers frequently copy an answer and paste a brand name directly into a browser, which shows up as direct traffic and never gets attributed to the AI citation that caused it. Whatever you measure is a floor. Pipeline influence, which tracks which content touches appeared in the path to closed deals, connects citation activity to revenue.<\/p>\n<h3>Why Does Content Decay Matter More In The AI Era Than In Traditional SEO?<\/h3>\n<p>In traditional SEO, accumulated domain authority created a buffer against content aging. A page could hold rankings for months or years without updates because its backlink profile sustained its position.<\/p>\n<p>In the AI era, freshness acts as a primary retrieval signal. In Arjun Karnik\u2019s decay tracking on his site, pages can drop 78% to 99% in two months without updates, and this rate remains invisible unless the content program is instrumented to catch it. A monthly report may show stable rankings while the page has already lost most of its AI citation presence.<\/p>\n<p>The practical consequence is that a fixed content library of any size, regardless of how well it was originally written and structured, will decay in place without a maintenance loop. Businesses that sustain AI citation share run continuous freshness systems, with impression-decay tripwires that auto-queue updates when performance drops, instead of relying on annual audits or reactive refreshes triggered by visible traffic declines.<\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/b2b-content-trends-ai\" target=\"_blank\">B2B Content Trends AI: The 2026 GEO Playbook for AI Search<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/best-ai-content-strategy-practices\" target=\"_blank\">AI Content Strategy Best Practices: The 2026 Playbook<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/ai-marketing-strategy-best-practices\" target=\"_blank\">AI Marketing Strategy Best Practices for 2026<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/b2b-marketing-trends\" target=\"_blank\">B2B Marketing Trends for 2026: AEO, AI Search &amp; ABM<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/content-marketing-trends-ai-citations\" target=\"_blank\">8 Content Marketing Trends That Earn AI Citations in 2026<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Earn more AI citations with Arjun Karnik&#8217;s proven B2B content marketing best practices. Get the 2026 playbook and drive real pipeline. Read now.<\/p>\n","protected":false},"author":118,"featured_media":459,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-460","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\/460","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=460"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/460\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/459"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=460"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=460"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=460"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}