{"id":475,"date":"2026-09-08T05:03:54","date_gmt":"2026-09-08T05:03:54","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/getting-cited-ai-search-results"},"modified":"2026-09-08T05:03:54","modified_gmt":"2026-09-08T05:03:54","slug":"getting-cited-ai-search-results","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/getting-cited-ai-search-results","title":{"rendered":"Getting Cited In AI Search Results: The 2026 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>AI citations now act as vendor-selection events, with 69% of B2B buyers switching vendors based on AI assistant recommendations.<\/li>\n<li>Traditional SEO rankings rarely predict citations. Only 38% of cited pages rank in Google\u2019s top 10, and 80% of LLM citations sit outside the top 100.<\/li>\n<li>Position and freshness drive visibility. 44.2% of citations come from the first 30% of a page, and 75% of cited pages were updated within the last year.<\/li>\n<li>Third-party web mentions outperform backlinks as authority signals, correlating at 0.664 versus 0.218 with ChatGPT citation likelihood.<\/li>\n<\/ul>\n<h2>Why AI Citations Matter Now<\/h2>\n<p><a href=\"https:\/\/www.pewresearch.org\/internet\/2025\/07\/22\/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results\/\" target=\"_blank\" rel=\"noindex nofollow\">Pew Research Center tracked 900 US adults across 68,879 Google searches in March 2025 and found that when an AI summary appeared, users clicked a traditional search result in only 8% of visits, compared to 15% when no summary appeared<\/a>. The click is dying where the answer appears.<\/p>\n<p>The audience behind these answers is massive. OpenAI reported 900 million weekly active ChatGPT users in February 2026. 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. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">AI search engines now influence B2B product discovery, with studies showing a large share of B2B buyers using AI tools for research<\/a>.<\/p>\n<p>The stakes are measurable. 71% of B2B buyers now use AI chatbots for software research, and 85% view a vendor more favorably when an assistant mentions it. Being cited now functions as a vendor-selection event, not just a visibility metric. The practical challenge is learning how to earn those citations consistently.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>See How The Test Lab Maps To Your Category<\/strong><\/a> and benchmark your current AI visibility.<\/p>\n<h2>How AI Search Engines Retrieve And Cite Content<\/h2>\n<p>A single buyer prompt does not trigger a single lookup. It triggers dozens of hidden retrieval queries underneath, often called fan-out queries. The answer is assembled from what comes back across all of them. Optimizing for the visible prompt while ignoring the fan-out means optimizing for the wrong surface entirely.<\/p>\n<p>This is why traditional rankings are an unreliable proxy for citation eligibility. <a href=\"https:\/\/thestacc.com\/blog\/ai-overviews-citation-sources\" target=\"_blank\" rel=\"noindex nofollow\">A theStacc study of 1,000 Google AI Overviews collected between April 8\u201322, 2026 found that only 38% of cited pages ranked in Google&#039;s top 10 organic results, down from 76% seven months earlier<\/a>. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">80% of LLM citations do not rank in Google&#039;s top 100 for the original query<\/a>.<\/p>\n<p>Position within a page matters as much as which page gets retrieved. <a href=\"https:\/\/thestacc.com\/blog\/ai-overviews-citation-sources\" target=\"_blank\" rel=\"noindex nofollow\">The theStacc study found that AI Overviews pull 44.2% of citations from the first 30% of a page<\/a>, a finding independently replicated by Kevin Indig&#039;s research. Indig analyzed 18,012 verified ChatGPT citations and found 44.2% came from the first 30% of the page, 31.1% from the middle, and 24.7% from the final third. This 30% rule means you front-load your most citable facts.<\/p>\n<p>Freshness is the game, not just hygiene. Seer Interactive analyzed 47,097 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity between March and June 2026 and found that 75% of cited pages had been updated within the last year, with consistently cited pages averaging under six months since their last update. In Arjun&#039;s own tests, pages dropped 78\u201399% in two months without updates.<\/p>\n<p>Third-party consensus outperforms backlinks as an authority signal. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">An Ahrefs study of 75,000 brands found brand web mentions correlate at 0.664 with ChatGPT citation likelihood, compared to only 0.218 for backlinks<\/a>.<\/p>\n<h2>Platform Citation Patterns At A Glance<\/h2>\n<p>Each AI platform cites sources differently. The table below summarizes citation overlap, key drivers, and average sources per response so you can decide where to focus your efforts first.<\/p>\n<table>\n<thead>\n<tr>\n<th>Platform<\/th>\n<th>Citation Overlap<\/th>\n<th>Key Citation Driver<\/th>\n<th>Avg. Sources Cited<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Google AI Overviews<\/td>\n<td><a href=\"https:\/\/writesonic.com\/blog\/ai-citation-source-overlap-study\" target=\"_blank\" rel=\"noindex nofollow\">~24% With Perplexity<\/a><\/td>\n<td><a href=\"https:\/\/thestacc.com\/blog\/ai-overviews-citation-sources\" target=\"_blank\" rel=\"noindex nofollow\">Top-10 Rankings + Schema<\/a><\/td>\n<td><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">3\u20138 Per Response<\/a><\/td>\n<\/tr>\n<tr>\n<td>ChatGPT<\/td>\n<td><a href=\"https:\/\/foglift.io\/research\/chatgpt-vs-aio-citation-divergence-2026\" target=\"_blank\" rel=\"noindex nofollow\">~4% With AI Overviews<\/a><\/td>\n<td><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Brand Mentions (r=0.664)<\/a><\/td>\n<td><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">2\u20138 Per Response<\/a><\/td>\n<\/tr>\n<tr>\n<td>Perplexity<\/td>\n<td><a href=\"https:\/\/writesonic.com\/blog\/ai-citation-source-overlap-study\" target=\"_blank\" rel=\"noindex nofollow\">~24% With AI Overviews<\/a><\/td>\n<td>Freshness + Semantic Depth<\/td>\n<td><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">4\u20136 Per Response<\/a><\/td>\n<\/tr>\n<tr>\n<td>Gemini<\/td>\n<td><a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">~12% With ChatGPT<\/a><\/td>\n<td><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">Structured Data + Knowledge Graph<\/a><\/td>\n<td><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">2\u20134 Per Response<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>Sources: <a href=\"https:\/\/writesonic.com\/blog\/ai-citation-source-overlap-study\" target=\"_blank\" rel=\"noindex nofollow\">Writesonic (2026)<\/a>, <a href=\"https:\/\/foglift.io\/research\/chatgpt-vs-aio-citation-divergence-2026\" target=\"_blank\" rel=\"noindex nofollow\">Foglift (2026)<\/a>, <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Ahrefs (2026)<\/a>, <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Visiby (2026)<\/a><\/em><\/p>\n<h2>The 2026 Playbook: 7 Steps To Get Cited In AI Search Results<\/h2>\n<h3>Step 1: Audit Your Current AI Visibility<\/h3>\n<p>Start by establishing a baseline. Run 20\u201350 buyer-intent prompts across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Record whether your brand is cited, mentioned, or absent at the URL level for each run. A citation is a source URL surfaced as the basis for an answer. A mention is your brand name appearing in the answer body without a link. Both matter and both need separate tracking.<\/p>\n<p>Arjun Karnik&#039;s test lab starts every engagement with this visibility audit. It functions as the control group against which every later result is measured. Without it, you are optimizing blind.<\/p>\n<h3>Step 2: Fix Technical Plumbing<\/h3>\n<p>AI crawlers act as binary gates. If GPTBot, PerplexityBot, ClaudeBot, and Google-Extended are blocked in your robots.txt, the retrieval layer cannot read your site. Unblock them before you invest in content.<\/p>\n<p>Schema markup comes next. <a href=\"https:\/\/thestacc.com\/blog\/ai-overviews-citation-sources\" target=\"_blank\" rel=\"noindex nofollow\">The theStacc study found pages with schema markup are 2.3x more likely to be cited than pages without it, with HowTo schema providing the strongest lift at 2.8x<\/a>. <a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">First Citation&#039;s analysis of 527 Google AI Overview responses found pages with FAQ schema markup were 2.3x more likely to be cited than equivalent pages without it, after controlling for domain authority<\/a>. Apply schema broadly. Make pages machine-parseable with a clear heading hierarchy and server-rendered HTML. <a href=\"https:\/\/conbersa.ai\/learn\/perplexity-citation-strategy-b2b\" target=\"_blank\" rel=\"noindex nofollow\">JavaScript-dependent pages receive zero citations from Perplexity, regardless of their Google performance<\/a>.<\/p>\n<h3>Step 3: Map Fan-Out Queries<\/h3>\n<p>The buyer&#039;s prompt is the visible surface. Underneath it, AI engines run dozens of hidden retrieval queries to assemble an answer. Those hidden queries form the real optimization target.<\/p>\n<p>Use ChatGPT to generate fan-out queries for your topic. Then align your URLs, titles, and H1s to that language precisely. In Arjun&#039;s own test on his site, pages rewritten to match extracted fan-out queries earned citations while control pages did not. The mechanism is straightforward. <a href=\"https:\/\/conbersa.ai\/learn\/how-to-optimize-content-for-perplexity\" target=\"_blank\" rel=\"noindex nofollow\">Perplexity&#039;s content-to-query matching is more literal than ChatGPT&#039;s, so section headings that mirror query phrasing precisely outperform generic headings<\/a>.<\/p>\n<h3>Step 4: Write Answer-First Content<\/h3>\n<p>Lead with the direct answer in the first 150\u2013200 words. The 30% rule mentioned earlier shows that conclusions buried at the bottom of long articles are significantly less likely to be cited, regardless of quality.<\/p>\n<p>Structure content around what First Citation calls &quot;Answer Blocks.&quot; Each block is a self-contained section with a clear H2 or H3 heading matching a user question, a direct answer in the first one to two sentences under 50 words, supporting evidence, and a concluding sentence. <a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">Pages containing Answer Blocks were cited 2.7x more frequently than pages covering the same topic without this structure<\/a>.<\/p>\n<p>Named-source citations inside the body strengthen citation eligibility. <a href=\"https:\/\/thestacc.com\/blog\/ai-overviews-citation-sources\" target=\"_blank\" rel=\"noindex nofollow\">Pages citing named sources inline are 2.1x more likely to be cited than pages presenting facts without attribution<\/a>. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics increases AI citation visibility by around 31\u201333% and adding quotations by around 41\u201343%, according to the Princeton GEO study<\/a>.<\/p>\n<h3>Step 5: Publish At Machine Cadence<\/h3>\n<p>Freshness remains the most underestimated lever in this channel. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Pages under 30 days old receive 3.2x more citations than older content, and content freshness accounts for 40% of Perplexity&#039;s ranking signal<\/a>. In Arjun&#039;s own tests, pages dropped 78\u201399% in two months without updates, a decay rate that stays hidden until the position is already gone.<\/p>\n<p>One person cannot publish and refresh at the cadence this channel requires. That reality is why Arjun uses AI Growth Agent (partnership disclosed) to run 5\u20138 autonomous actions per day, including new articles and updates to existing ones, on autopilot. The result on his own site was clear. New articles reached thousands of monthly Google impressions within weeks, and the GEO subfolder went from zero to the only source of new impressions on the domain in 60 days.<\/p>\n<h3>Step 6: Build Third-Party Consensus<\/h3>\n<p>AI engines weight web mentions far more heavily than backlinks. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Brand web mentions correlate at 0.664 with ChatGPT citation likelihood versus only 0.218 for backlinks<\/a>. PR coverage, guest posts, industry publication mentions, and review platform presence therefore matter more than classic link acquisition for AI citation authority.<\/p>\n<p><a href=\"https:\/\/firstcitation.com\/blog\/google-ai-overviews-citation-patterns\" target=\"_blank\" rel=\"noindex nofollow\">Pages with named-source citations in the body were cited 2.1x more often, indicating that third-party corroboration and inline attribution strengthen citation eligibility<\/a>. Get mentioned by credible sources, and make sure those sources are structured and crawlable.<\/p>\n<h3>Step 7: Measure And Iterate<\/h3>\n<p>Track citations, mentions, and share of voice across all four platforms, not just rankings. <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>. Citation drift is the norm.<\/p>\n<p>Feed wins back into content production. In Arjun&#039;s tests, content decayed sharply without updates, so he uses impression-decay tripwires in AI Growth Agent to auto-queue updates when performance drops. This creates self-healing content that refreshes on a loop instead of waiting for a quarterly audit.<\/p>\n<p>Keep one caveat in mind for every measurement. Buyers often 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 represents a floor.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Get A Baseline Visibility Audit<\/strong><\/a> and apply this measurement framework across ChatGPT, AI Overviews, Perplexity, and Gemini.<\/p>\n<h2>Common Pitfalls That Undercut AI Citations<\/h2>\n<p>Many teams still assume AI engines behave like traditional Google search. They optimize for a single platform, ignore freshness, or treat GEO like classic SEO. These assumptions create predictable mistakes that quietly cap citation share.<\/p>\n<p>Teams often focus only on Google AI Overviews, even though <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">only 11% of cited domains overlap between ChatGPT and Perplexity<\/a>. They overlook freshness, despite Arjun&#039;s tests showing steep decay within two months without updates. They lean on backlinks even though web mentions correlate far more strongly with ChatGPT citations. They bury answers below the fold, ignoring the 30% rule mentioned earlier. Finally, they track rankings instead of citations, even though <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>, and they sometimes still block GPTBot, PerplexityBot, ClaudeBot, or Google-Extended in robots.txt, which guarantees zero citations.<\/p>\n<h2>Conclusion<\/h2>\n<p>The seven steps in this playbook form a complete system for earning AI citations in 2026. Audit visibility, fix technical plumbing, map fan-out queries, write answer-first content, publish at machine cadence, build third-party consensus, and measure citations.<\/p>\n<p>Traditional rankings no longer determine who gets cited. Structure, freshness, and third-party consensus now drive visibility. The window for outsized gains is open. Answers gain incumbency, and once a model settles on an answer for a category, that answer tends to stick. Early citations become tomorrow&#039;s record.<\/p>\n<p>The businesses that decode these mechanics first will own the answers. <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Start Your Visibility Audit<\/strong><\/a> and turn this playbook into a working system for your category.<\/p>\n<h2>About The Author And Test Lab<\/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 mentioned, cited, and recommended in AI answers, including the misses. His method is self-verifying. You can ask an AI assistant about these topics and see who gets cited. The system being documented is the same system producing the visibility.<\/p>\n<p>His numbers come from his own Google Search Console, cadence records, and measured decay curves. They are never blended with AI Growth Agent&#039;s client case studies, which are cited separately. Every figure is labelled and traceable, and that separation underpins the credibility.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What Is The 30% Rule In AI?<\/h3>\n<p>The 30% rule refers to position bias in AI citations. AI systems disproportionately cite content from the opening third of a page rather than later sections. Kevin Indig&#039;s research, reported by Search Engine Land in February 2026, analyzed 18,012 verified ChatGPT citations and found 44.2% came from the first 30% of the page, 31.1% from the middle, and 24.7% from the final third. The theStacc study of 1,000 Google AI Overviews independently confirmed the same 44.2% figure. The practical application is to front-load the most citable facts, direct answers, and statistics near the top of every page.<\/p>\n<h3>How Do You Get Listed In AI Search Results?<\/h3>\n<p>Getting listed requires seven steps executed in sequence. First, audit your current visibility across ChatGPT, Gemini, Perplexity, and Google AI Overviews using 20\u201350 buyer-intent prompts. Second, fix technical plumbing by unblocking AI crawlers in robots.txt and adding schema markup across all pages. Third, map fan-out queries by extracting the hidden retrieval questions AI engines run beneath a buyer&#039;s prompt, then align URLs, titles, and H1s to that language. Fourth, write answer-first content with direct answers in the first 150\u2013200 words and self-contained Answer Blocks under each H2 or H3. Fifth, publish at machine cadence because freshness acts as a primary ranking signal and pages decay rapidly without updates. Sixth, build third-party consensus through PR, guest posts, and industry publication mentions, since web mentions correlate far more strongly with AI citation likelihood than backlinks. Seventh, measure citations and share of voice across all four platforms and feed wins back into content production.<\/p>\n<h3>How Do You Get Mentioned In Google&#039;s AI Search Results?<\/h3>\n<p>Google&#039;s AI Overviews pull from a mix of sources that does not map cleanly to organic rankings. Only 38% of cited pages rank in the top 10 organic results, down from 76% seven months earlier. To get mentioned, focus on three levers. First, use answer-first structure and apply the 30% rule. Second, add schema markup, since pages with schema are 2.3x more likely to be cited and HowTo schema provides a 2.8x lift. Third, keep content fresh, because 75% of cited pages were updated within the last year. Pages containing Answer Blocks, which are self-contained sections with a direct answer under 50 words beneath a question-format heading, are cited 2.7x more frequently than pages covering the same topic without this structure. Named-source citations in the body and comparison tables also increase citation probability significantly.<\/p>\n<h3>How Long Until I See Results From GEO?<\/h3>\n<p>Coverage and impressions typically appear within weeks of publishing structured, fan-out-aligned content. Citations usually follow in one to three months, with compounding after month three. In Arjun Karnik&#039;s own tests on his site, new articles reached thousands of monthly Google impressions within weeks, and his GEO subfolder went from zero to the only source of new impressions on the domain in 60 days. Results decay quickly without a continuous freshness loop, so gains compound when the system runs continuously rather than when content is published once and left alone.<\/p>\n<h3>Does Optimizing For One AI Platform Transfer To Others?<\/h3>\n<p>Optimization transfers partially across platforms, but not in a reliable way. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Only 11% of cited domains overlap between ChatGPT and Perplexity<\/a>, and <a href=\"https:\/\/writesonic.com\/blog\/ai-citation-source-overlap-study\" target=\"_blank\" rel=\"noindex nofollow\">only 3.8% of cited sources are shared by all four major engines for the same prompt<\/a>. Each platform uses a different index, retrieval architecture, and freshness weighting. <a href=\"https:\/\/lumengeo.co\/blog\/google-ai-overviews-optimization\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT uses Bing&#039;s index and weights brand mentions heavily<\/a>. <a href=\"https:\/\/machinerelations.ai\/research\/ai-engine-source-selection-patterns-2026\" target=\"_blank\" rel=\"noindex nofollow\">Perplexity runs its own crawler and weights freshness and semantic depth most aggressively<\/a>. <a href=\"https:\/\/machinerelations.ai\/research\/ai-engine-source-selection-patterns-2026\" target=\"_blank\" rel=\"noindex nofollow\">Google AI Overviews draw from Google&#039;s own index and favor pages already ranking in organic results<\/a>. <a href=\"https:\/\/dev.to\/searchless_ai\/ai-citation-benchmarks-how-to-measure-whether-your-content-gets-recommended-by-ai-engines-5b25\" target=\"_blank\" rel=\"noindex nofollow\">Gemini integrates deeply with Google&#039;s Knowledge Graph and structured data<\/a>. The structural answer-first content and schema fundamentals transfer across all four platforms, while fan-out query mapping and freshness cadence need to be maintained for each surface independently.<\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/get-recommended-by-chatgpt\" target=\"_blank\">How to Get Recommended by ChatGPT: The 6-Mechanic Playbook<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/chatgpt-not-mentioning-business\" target=\"_blank\">The 7-Step GEO Checklist to Win AI Search Citations<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/ai-search-optimization-best-practices\" target=\"_blank\">AI Search Optimization Strategies: The 2026 Playbook<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/machine-generated-answers-citation-strategies\" target=\"_blank\">GEO Citation Strategies: How to Get Your Brand Cited by AI<\/a><\/li>\n<li><a href=\"https:\/\/www.akarnik.com\/blog\/chatgpt-citation-optimization-tips\" target=\"_blank\">ChatGPT Citation Optimization: 7 Tactics That Work<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn how to get cited in ChatGPT, Perplexity, Gemini &amp; AI Overviews. Arjun Karnik&#8217;s 7-step 2026 GEO playbook \u2014 start winning AI citations today.<\/p>\n","protected":false},"author":118,"featured_media":474,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-475","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\/475","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=475"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/475\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/474"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}