{"id":80,"date":"2026-03-26T12:45:00","date_gmt":"2026-03-26T04:45:00","guid":{"rendered":"https:\/\/www.wintechnology.ai\/insights\/how-to-get-cited-by-chatgpt-perplexity-and-google-gemini-a-geo-playbook\/"},"modified":"2026-04-10T14:39:07","modified_gmt":"2026-04-10T21:39:07","slug":"how-to-get-cited-by-chatgpt-perplexity-and-google-gemini-a-geo-playbook","status":"publish","type":"post","link":"https:\/\/www.wintechnology.ai\/insights\/how-to-get-cited-by-chatgpt-perplexity-and-google-gemini-a-geo-playbook\/","title":{"rendered":"How to Get Cited by ChatGPT, Perplexity, and Google Gemini: A GEO Playbook"},"content":{"rendered":"<p># How to Get Cited by ChatGPT, Perplexity, and Google Gemini: A GEO Playbook<\/p>\n<p>Last month, we ran an experiment. We asked ChatGPT, Perplexity, and Google Gemini the same 50 questions about IT services, cybersecurity, and digital marketing \u2014 all topics our clients compete in. Then we tracked which websites got cited, how often, and in what position.<\/p>\n<p>The results were eye-opening. A handful of websites appeared repeatedly across all three platforms. Most businesses \u2014 including some with excellent traditional SEO \u2014 never showed up once. The difference wasn&#8217;t content quality or domain age. It was whether the content was structured and positioned for AI citation.<\/p>\n<p>This playbook breaks down exactly how each AI engine selects sources, what we learned from the citation patterns, and the specific steps you can take to get your business cited consistently.<\/p>\n<h2>How Each AI Engine Selects Sources<\/h2>\n<p>Each platform has its own approach to finding and citing content. Understanding these differences is essential for a targeted optimization strategy.<\/p>\n<h3>ChatGPT&#8217;s Source Selection<\/h3>\n<p>ChatGPT operates in two modes: knowledge-based responses (from training data) and browsing-enabled responses (pulling current web content).<\/p>\n<p><strong>Training data mode:<\/strong> ChatGPT draws from its training corpus. Getting into this layer requires long-term authority building \u2014 being cited by major publications, having a strong Wikipedia presence, appearing consistently in industry discussions across the web. This is a slow game measured in years, not months.<br \/>\n<strong>Browsing mode:<\/strong> When ChatGPT browses, it uses Bing&#8217;s search index to find relevant pages. It tends to:<\/p>\n<ul>\n<li>Favor well-known, authoritative domains<\/li>\n<li>Cite 1-3 sources per response (fewer than Perplexity)<\/li>\n<li>Prefer content that directly answers the user&#8217;s query in the first few paragraphs<\/li>\n<li>Weight domain authority heavily \u2014 established publications and well-known brands get preference<\/li>\n<\/ul>\n<p><strong>Citation behavior:<\/strong> ChatGPT is the least generous with citations. It often synthesizes information without citing specific sources, especially in knowledge-based mode. When it does cite, it tends to reference the most authoritative source available rather than providing multiple references.<\/p>\n<h3>Perplexity&#8217;s Source Selection<\/h3>\n<p>Perplexity is fundamentally different from ChatGPT in its approach to citations. It was designed as a research tool that shows its sources, making it the most citation-friendly platform.<\/p>\n<p><strong>How Perplexity finds sources:<\/strong><\/p>\n<ul>\n<li>Runs real-time web searches for every query<\/li>\n<li>Uses its own index plus search engine results<\/li>\n<li>Evaluates pages for relevance, authority, and content structure<\/li>\n<li>Updates its index frequently \u2014 new content can appear within days<\/li>\n<\/ul>\n<p><strong>Citation behavior:<\/strong> Perplexity typically cites 5-10 sources per response with inline citations. This means:<\/p>\n<ul>\n<li>More opportunities for smaller and niche websites to get cited<\/li>\n<li>Content freshness matters significantly<\/li>\n<li>The &#8220;Top-4 logic&#8221; applies \u2014 the first 4 cited sources receive the vast majority of clicks<\/li>\n<li>Well-structured content with clear answer blocks gets cited more than long narrative content<\/li>\n<\/ul>\n<p><strong>What Perplexity favors:<\/strong><\/p>\n<ul>\n<li>Recent content (published or updated within the last 3-6 months)<\/li>\n<li>Content with specific data points, statistics, and concrete examples<\/li>\n<li>Pages that load quickly and are mobile-friendly<\/li>\n<li>Content that directly addresses the query without excessive preamble<\/li>\n<\/ul>\n<h3>Google Gemini (and AI Overviews)<\/h3>\n<p>Google&#8217;s approach blends traditional search ranking with AI understanding.<\/p>\n<p><strong>How Google selects AI Overview sources:<\/strong><\/p>\n<ul>\n<li>Heavily weights traditional Google ranking signals (if you rank on page one, you&#8217;re likely to be cited)<\/li>\n<li>Uses structured data (schema markup) to understand content organization<\/li>\n<li>Favors content from entities Google recognizes in its Knowledge Graph<\/li>\n<li>Considers E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)<\/li>\n<\/ul>\n<p><strong>Citation behavior:<\/strong> Google AI Overviews typically cite 3-5 sources, displayed as clickable cards below the AI-generated response. The correlation between organic ranking and AI Overview citation is strong \u2014 top-3 organic results get cited in AI Overviews roughly 60-70% of the time.<br \/>\n<strong>What Google favors:<\/strong><\/p>\n<ul>\n<li>Sites with strong E-E-A-T signals<\/li>\n<li>Proper schema markup implementation<\/li>\n<li>Content that matches Google&#8217;s quality rater guidelines<\/li>\n<li>Fast-loading, mobile-optimized pages<\/li>\n<li>Sites with Google Business Profiles (for local queries)<\/li>\n<\/ul>\n<h2>The Top-4 Citation Logic<\/h2>\n<p>Across all three platforms, we&#8217;ve observed a consistent pattern: the first 4 sources cited in any AI response receive disproportionate attention.<\/p>\n<p>Here&#8217;s what the click distribution typically looks like:<\/p>\n<p>| Citation Position | Estimated Click Share |<br \/>\n|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|<br \/>\n| 1st cited source | 35-45% |<br \/>\n| 2nd cited source | 20-25% |<br \/>\n| 3rd cited source | 10-15% |<br \/>\n| 4th cited source | 5-10% |<br \/>\n| 5th+ cited sources | 2-5% combined |<\/p>\n<p>This mirrors traditional SEO&#8217;s page-one dynamics but compressed into an even smaller set. Being cited at all is good. Being in the first 2-3 citations is where the real traffic comes from.<\/p>\n<h2>Step 1: Audit Your Current GEO Visibility<\/h2>\n<p>Before optimizing, you need to know where you stand. Here&#8217;s how to run a baseline audit.<\/p>\n<h3>Manual Citation Audit<\/h3>\n<p>Create a spreadsheet with 20-30 questions that your business should be answering. These should include:<\/p>\n<ul>\n<li>Direct questions about your services (&#8220;What is managed IT support?&#8221;)<\/li>\n<li>Comparison queries (&#8220;managed IT vs. in-house IT team&#8221;)<\/li>\n<li>Location-based queries (&#8220;IT support companies in [your city]&#8221;)<\/li>\n<li>Industry-specific questions (&#8220;cybersecurity requirements for healthcare&#8221;)<\/li>\n<li>Cost and pricing queries (&#8220;how much does IT support cost for small business&#8221;)<\/li>\n<\/ul>\n<p>Ask each question on ChatGPT, Perplexity, and Google Gemini. Record:<\/p>\n<ul>\n<li>Whether your site was cited (yes\/no)<\/li>\n<li>Citation position (1st, 2nd, 3rd, etc.)<\/li>\n<li>Which competitors were cited<\/li>\n<li>What content was referenced (which page on your site or theirs)<\/li>\n<\/ul>\n<h3>Tool-Based Audit<\/h3>\n<p>For ongoing monitoring, set up these tools:<\/p>\n<p><strong>Otterly.ai<\/strong> \u2014 Tracks your visibility across AI answer engines. Set up your brand terms and key queries, and it monitors citation frequency automatically. Plans start around $49\/month.<br \/>\n<strong>AthenaHQ<\/strong> \u2014 Provides competitive intelligence for AI visibility. Shows how your citation share compares to competitors. Useful for identifying gaps in your coverage.<br \/>\n<strong>Writesonic AI Traffic Analytics<\/strong> \u2014 Specifically designed to track traffic from AI referral sources. Integrates with your analytics to show which AI platforms are sending visitors.<br \/>\n<strong>Google Search Console<\/strong> \u2014 Free, and now includes data on AI Overview appearances. Check the &#8220;Search appearance&#8221; filter for AI Overview metrics.<\/p>\n<h3>What to Look For in Your Audit<\/h3>\n<ul>\n<li><strong>Citation gaps:<\/strong> Queries where competitors are cited but you&#8217;re not<\/li>\n<li><strong>Content gaps:<\/strong> Questions you should be able to answer but don&#8217;t have content for<\/li>\n<li><strong>Structure gaps:<\/strong> Pages that have good information but aren&#8217;t formatted for AI extraction<\/li>\n<li><strong>Authority gaps:<\/strong> Areas where your domain lacks the backlinks or entity signals to compete<\/li>\n<\/ul>\n<h2>Step 2: Optimize Your Content Blocks<\/h2>\n<p>This is the highest-leverage change you can make. AI engines extract information in blocks \u2014 self-contained chunks of text that answer a specific question or explain a specific concept.<\/p>\n<h3>The Anatomy of a Citable Block<\/h3>\n<p>A citable content block has four characteristics:<\/p>\n<li><strong>Self-contained.<\/strong> It makes sense without surrounding context.<\/li>\n<li><strong>Specific.<\/strong> It includes concrete details \u2014 numbers, names, examples.<\/li>\n<li><strong>Structured.<\/strong> It sits under a clear, descriptive heading.<\/li>\n<li><strong>Concise.<\/strong> It&#8217;s 40-80 words \u2014 long enough to be useful, short enough for clean extraction.<\/li>\n<h3>Optimization Checklist for Each Key Page<\/h3>\n<p>Go through each of your important pages and verify:<\/p>\n<ul>\n<li>[ ] The page has a clear H1 that matches a common query<\/li>\n<li>[ ] Each H2 section opens with a citable answer block<\/li>\n<li>[ ] Specific numbers, percentages, and data points are included (not just qualitative claims)<\/li>\n<li>[ ] The content is organized in a logical sequence (definition \u2192 explanation \u2192 examples \u2192 action steps)<\/li>\n<li>[ ] An FAQ section exists with 4-6 relevant questions<\/li>\n<li>[ ] FAQPage schema markup is implemented<\/li>\n<li>[ ] The meta description is under 160 characters and includes the primary keyword<\/li>\n<li>[ ] The page has been updated within the last 6 months (update the dateModified in your schema)<\/li>\n<\/ul>\n<h3>Content Types That Earn the Most Citations<\/h3>\n<p>Based on our cross-platform citation tracking, here&#8217;s what gets cited most:<\/p>\n<p><strong>Definitions and explanations<\/strong> \u2014 &#8220;What is [concept]?&#8221; content that provides clear, authoritative definitions. These get cited across all platforms because they answer the most fundamental queries.<br \/>\n<strong>Comparison and versus content<\/strong> \u2014 &#8220;X vs Y&#8221; articles with structured comparison points. AI engines love these because users frequently ask comparison questions, and structured comparisons are easy to extract from.<br \/>\n<strong>Statistics and original data<\/strong> \u2014 Content with original numbers, survey results, or compiled industry data. If you can produce original research \u2014 even a simple customer survey \u2014 you create a citable asset that nobody else has.<br \/>\n<strong>Step-by-step guides<\/strong> \u2014 Numbered, sequential instructions. The HowTo format maps perfectly to how AI engines structure instructional responses.<br \/>\n<strong>Cost and pricing information<\/strong> \u2014 Transparent pricing content is cited heavily because it&#8217;s something users frequently ask about and most businesses are reluctant to publish. Being transparent gives you a citation advantage.<\/p>\n<h2>Step 3: Build Brand Authority Signals<\/h2>\n<p>Getting cited isn&#8217;t just about content \u2014 it&#8217;s about the AI engine trusting your brand enough to reference it.<\/p>\n<h3>Entity Recognition<\/h3>\n<p>AI engines need to recognize your brand as a distinct entity. This means:<\/p>\n<p><strong>Consistent information across the web.<\/strong> Your business name, address, phone number, and description should be identical everywhere \u2014 Google Business Profile, Bing Places, Yelp, industry directories, social media profiles, and your website.<br \/>\n<strong>Structured data on your site.<\/strong> Implement Organization schema on your about page with your official name, logo, contact information, founding date, and social media links. This helps AI engines build an entity profile for your brand.<br \/>\n<strong>Knowledge Graph presence.<\/strong> If your business doesn&#8217;t appear in Google&#8217;s Knowledge Graph, work toward it by:<\/p>\n<ul>\n<li>Creating or updating your Wikipedia page (if your business is notable enough)<\/li>\n<li>Adding your business to Wikidata<\/li>\n<li>Ensuring consistent structured data across all web properties<\/li>\n<li>Building citations from authoritative industry sources<\/li>\n<\/ul>\n<h3>Backlink Authority<\/h3>\n<p>AI engines use backlink quality as a trust signal, similar to traditional SEO but with some differences:<\/p>\n<p><strong>Quality over quantity.<\/strong> A single citation from a well-known industry publication is worth more than 50 links from obscure blogs.<br \/>\n<strong>Topical relevance matters more.<\/strong> Backlinks from sites in your industry carry significantly more weight than generic directory links.<br \/>\n<strong>Diverse source types strengthen trust.<\/strong> Links from news sites, industry associations, educational institutions, and government sites (.edu, .gov) all contribute different authority signals.<\/p>\n<h3>Content Attribution<\/h3>\n<p>Make sure your content has clear author attribution:<\/p>\n<ul>\n<li>Author names on every article<\/li>\n<li>Author bio pages with credentials and expertise<\/li>\n<li>Links to author profiles on LinkedIn or other professional platforms<\/li>\n<li>Organization attribution (not just individual \u2014 the company behind the content matters)<\/li>\n<\/ul>\n<h2>Step 4: Platform-Specific Optimization Tactics<\/h2>\n<h3>For ChatGPT Visibility<\/h3>\n<ul>\n<li>Focus on building brand recognition in authoritative sources (industry publications, news outlets)<\/li>\n<li>Optimize for Bing search rankings (ChatGPT uses Bing for browsing)<\/li>\n<li>Maintain a strong, well-linked Wikipedia page if eligible<\/li>\n<li>Publish content on platforms ChatGPT&#8217;s training data likely includes (major publications, established blogs, Stack Overflow for technical content)<\/li>\n<li>Update your robots.txt to allow OAI-SearchBot (OpenAI&#8217;s web crawler)<\/li>\n<\/ul>\n<h3>For Perplexity Visibility<\/h3>\n<ul>\n<li>Publish content frequently \u2014 Perplexity favors recency<\/li>\n<li>Structure every page with clear, extractable answer blocks<\/li>\n<li>Include specific data, statistics, and examples (Perplexity cites specific claims)<\/li>\n<li>Ensure your site loads fast \u2014 Perplexity&#8217;s crawler penalizes slow sites<\/li>\n<li>Allow PerplexityBot in your robots.txt<\/li>\n<li>Focus on long-tail, specific queries (Perplexity cites niche content more readily than ChatGPT)<\/li>\n<\/ul>\n<h3>For Google Gemini \/ AI Overview Visibility<\/h3>\n<ul>\n<li>Prioritize traditional Google SEO \u2014 ranking on page one is the strongest predictor<\/li>\n<li>Implement comprehensive schema markup (FAQPage, HowTo, Article, Organization)<\/li>\n<li>Optimize for Featured Snippets (the selection criteria overlap significantly)<\/li>\n<li>Maintain a complete, optimized Google Business Profile<\/li>\n<li>Build E-E-A-T signals (author expertise pages, about page credentials, testimonials)<\/li>\n<\/ul>\n<h2>Step 5: Monitor, Iterate, Improve<\/h2>\n<p>GEO isn&#8217;t a one-time optimization. It&#8217;s an ongoing process of monitoring and adjustment.<\/p>\n<h3>Weekly Tasks<\/h3>\n<ul>\n<li>Check AI citation monitoring tools for new citations and lost citations<\/li>\n<li>Review AI referral traffic in your analytics<\/li>\n<li>Note any new competitor citations for your target queries<\/li>\n<\/ul>\n<h3>Monthly Tasks<\/h3>\n<ul>\n<li>Run your 20-30 question audit again and compare to the previous month<\/li>\n<li>Update content that has become outdated (change dates, refresh statistics)<\/li>\n<li>Publish at least 2 new pieces of AEO-optimized content<\/li>\n<li>Review and respond to any new questions your audience is asking (check support tickets, social media, forums)<\/li>\n<\/ul>\n<h3>Quarterly Tasks<\/h3>\n<ul>\n<li>Full competitive analysis of AI citation share<\/li>\n<li>Schema markup audit (test all pages with Google&#8217;s Rich Results Test)<\/li>\n<li>Backlink quality review and outreach planning<\/li>\n<li>Content gap analysis \u2014 what questions are being asked that you don&#8217;t have content for?<\/li>\n<\/ul>\n<h2>Tools for GEO Implementation<\/h2>\n<p>Here&#8217;s our recommended tool stack, organized by budget:<\/p>\n<h3>Free \/ Low Cost<\/h3>\n<p>| Tool | Purpose | Cost |<br \/>\n|&#8212;&#8212;|&#8212;&#8212;&#8212;|&#8212;&#8212;|<br \/>\n| Google Search Console | AI Overview tracking, search performance | Free |<br \/>\n| Google Rich Results Test | Schema validation | Free |<br \/>\n| AnswerThePublic | Question research | Free (limited) |<br \/>\n| AlsoAsked | PAA question discovery | Free (limited) |<br \/>\n| Schema.org validator | Structured data testing | Free |<\/p>\n<h3>Professional<\/h3>\n<p>| Tool | Purpose | Cost |<br \/>\n|&#8212;&#8212;|&#8212;&#8212;&#8212;|&#8212;&#8212;|<br \/>\n| Otterly.ai | AI citation tracking across platforms | $49-149\/mo |<br \/>\n| AthenaHQ | Competitive AI visibility analysis | $99-299\/mo |<br \/>\n| Semrush \/ Ahrefs | SEO + content gap analysis | $99-199\/mo |<br \/>\n| Writesonic AI Traffic | AI referral traffic analytics | $49-99\/mo |<\/p>\n<h3>Enterprise<\/h3>\n<p>| Tool | Purpose | Cost |<br \/>\n|&#8212;&#8212;|&#8212;&#8212;&#8212;|&#8212;&#8212;|<br \/>\n| Brightedge | Enterprise GEO + SEO platform | Custom pricing |<br \/>\n| Conductor | AI-integrated SEO platform | Custom pricing |<br \/>\n| seoClarity | Large-scale content optimization | Custom pricing |<\/p>\n<p>For most small businesses, the free tools plus one AI citation tracking tool (Otterly or AthenaHQ) provide sufficient visibility into your GEO performance.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How long does it take to start getting cited by AI engines?<\/h3>\n<p>Perplexity is the fastest \u2014 we&#8217;ve seen new, well-optimized content get cited within 1-2 weeks of publication. Google AI Overviews typically pick up content changes within 2-4 weeks, especially for pages that already rank well. ChatGPT is the slowest for training-data-based citations (months), but browsing-mode citations can happen within days if your page ranks in Bing. On average, expect to see measurable improvements in overall AI citation frequency within 6-8 weeks of implementing the optimizations in this playbook.<\/p>\n<h3>Should I block AI crawlers to prevent them from using my content without driving traffic?<\/h3>\n<p>This is a legitimate concern, and some publishers have chosen to block AI crawlers. However, for most businesses, the visibility benefit outweighs the risk. Being cited by AI engines drives referral traffic, builds brand awareness, and establishes authority. If you block AI crawlers, your competitors will fill the space you vacate. The exception might be if you run a content-based business where the AI is providing your content in full and replacing the need for users to visit your site. For service businesses, the citation serves as a recommendation that drives inquiries.<\/p>\n<h3>Can I optimize for all three platforms with the same content, or do I need separate strategies?<\/h3>\n<p>The foundation is the same: well-structured, authoritative content with clear answer blocks, proper schema markup, and strong E-E-A-T signals. About 80% of your optimization work benefits all three platforms equally. The remaining 20% is platform-specific: ensuring Bing rankings for ChatGPT, content freshness for Perplexity, and traditional Google rankings for Gemini AI Overviews. We recommend building the shared foundation first, then adding platform-specific optimizations based on which platform your audience uses most.<\/p>\n<h3>What&#8217;s more valuable \u2014 being cited once by ChatGPT or five times by Perplexity?<\/h3>\n<p>It depends on your audience, but generally Perplexity citations are more immediately actionable for small businesses. Perplexity users click through to sources at a higher rate than ChatGPT users (because Perplexity&#8217;s interface is designed around source exploration). However, a ChatGPT citation reaches a much larger total audience. For brand awareness and long-term authority, ChatGPT matters more. For direct traffic and lead generation, Perplexity citations deliver more measurable results.<\/p>\n<h3>Do paid ads or sponsored content help with AI citations?<\/h3>\n<p>No. AI citation selection is organic \u2014 it&#8217;s based on content quality, authority signals, and relevance, not ad spend. Paid ads might indirectly help by driving traffic and brand searches (which contribute to authority signals over time), but there&#8217;s no way to pay for a citation in an AI-generated response. This is actually good news for smaller businesses: the playing field is more level than traditional paid advertising, where bigger budgets always win.<\/p>\n<h2>Start Building Your Citation Presence<\/h2>\n<p>AI citation is becoming a significant source of qualified traffic and brand authority. The businesses appearing in AI responses today started optimizing 6-12 months ago. The strategies in this playbook aren&#8217;t theoretical \u2014 they&#8217;re the specific steps we use with our clients, refined through tracking thousands of AI citations across platforms.<\/p>\n<p>Pick your 5 highest-priority pages. Audit them against the optimization checklist. Add answer blocks, implement schema markup, and set up basic citation monitoring. That&#8217;s your first week. Build from there.<\/p>\n<p>Need help implementing a GEO strategy to get cited by AI engines? WinTechnology Inc. helps Southern California businesses adopt AI and digital strategy with hands-on expertise. Contact us for a free consultation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p># How to Get Cited by ChatGPT, Perplexity, and Google Gemini: A GEO Playbook Last month, we ran an experiment. We asked ChatGPT, Perplexity, and Google Gemini the same 50&hellip;<\/p>\n","protected":false},"author":1,"featured_media":73,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2],"tags":[],"class_list":["post-80","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seo-search"],"_links":{"self":[{"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/posts\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":1,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/posts\/80\/revisions"}],"predecessor-version":[{"id":87,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/posts\/80\/revisions\/87"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/media\/73"}],"wp:attachment":[{"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/media?parent=80"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/categories?post=80"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wintechnology.ai\/insights\/wp-json\/wp\/v2\/tags?post=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}