{"id":6320,"date":"2026-09-11T05:16:54","date_gmt":"2026-09-11T05:16:54","guid":{"rendered":"https:\/\/aigrowthagent.co\/articles\/how-google-ai-mode-works\/"},"modified":"2026-09-11T05:16:54","modified_gmt":"2026-09-11T05:16:54","slug":"how-google-ai-mode-works","status":"publish","type":"post","link":"https:\/\/aigrowthagent.co\/articles\/how-google-ai-mode-works\/","title":{"rendered":"How Google AI Mode Works: Query Fan-Out Explained"},"content":{"rendered":"<p><em>Written by: Mariana Fonseca, Editorial Team, AI Growth Agent<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Google AI Mode uses query fan-out to break a single question into multiple parallel sub-queries, retrieves live results from Google\u2019s index, and then synthesizes them into a conversational answer via Gemini.<\/li>\n<li>AI Mode functions as an opt-in conversational tab that maintains session context across up to 30 follow-up turns and produces responses that are about four times longer than AI Overviews, with more entity mentions.<\/li>\n<li>Being cited in AI Mode depends on ranking for multiple fan-out sub-queries across the topic, and pages that cover several angles are 161% more likely to earn citations.<\/li>\n<li>AI Mode has a 93% zero-click rate, so visibility is measured in brand exposure and citations rather than referral traffic.<\/li>\n<li>Visibility in AI Mode is measured in citations and brand exposure, so brands need content that covers multiple fan-out angles across each priority topic.<\/li>\n<\/ul>\n<h2>How Google AI Mode Works Behind The Scenes<\/h2>\n<p>Google AI Mode runs on a more complex architecture than a simple chat layer on top of Search. Google\u2019s Search Central documentation names two core mechanisms. The first is retrieval-augmented generation (RAG). Core Search ranking systems fetch relevant pages from the index, and the model composes its answer from that retrieved material rather than from parametric memory alone. The second is query fan-out, a set of concurrent, related queries the model generates to gather more information than the literal question would return. These mechanisms play out across five sequential steps.<\/p>\n<p><strong>Step One: Query Fan-Out.<\/strong> When you submit a question, Google AI Mode does not run a single search. <a href=\"https:\/\/geotoolbox.ai\/blog\/query-fan-out\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s I\/O 2025 write-up describes AI Mode as breaking down a question into subtopics and issuing a multitude of queries simultaneously on the user\u2019s behalf.<\/a> A single AI Mode query is commonly decomposed into <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">roughly 8 to 16 parallel sub-queries, though estimates across sources range from about 5 to 20<\/a>. These sub-queries cover the question from multiple angles, including definitions, comparisons, recency checks, and entity lookups the user never explicitly asked for.<\/p>\n<p><strong>Step Two: Live Search Retrieval.<\/strong> Those sub-queries run against Google\u2019s live Search index, not against a static training snapshot. <a href=\"https:\/\/plain-intelligence.com\/blog\/ai-search\/google-ai-mode-complete-guide-for-2026\" target=\"_blank\" rel=\"noindex nofollow\">Because AI Mode retrieves from the same Google index as classic Search, traditional Google ranking still matters for AI Mode visibility.<\/a> Results reflect what is on the web now. That behavior differs structurally from a standalone chatbot that draws only on training data.<\/p>\n<p><strong>Step Three: Gemini Reasoning And Synthesis.<\/strong> The retrieved material is fed to Gemini, which reads across the full candidate pool, weighs the sources, and composes a single conversational answer. <a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-3-5\" target=\"_blank\" rel=\"noindex nofollow\">As of May 2026, Google announced Gemini 3.5 Flash as the default model for AI Mode in Search globally<\/a>. Some practitioner testing later described the default most users receive as Gemini 3.5 Flash-Lite. That distinction matters because model choice affects how aggressively the system synthesizes versus summarizes. Either way, the model does not return a list of links. It produces a synthesized, multi-paragraph response with inline citation chips pointing back to the sources it drew from.<\/p>\n<p><strong>Step Four: Conversational Memory.<\/strong> AI Mode holds context across a session. <a href=\"https:\/\/muratulusoy.de\/en\/blog\/google-ai-mode-seo.html\" target=\"_blank\" rel=\"noindex nofollow\">AI Mode builds a session context that persists across up to 30 follow-up turns<\/a>. Each follow-up question builds on what came before rather than starting over. Every follow-up triggers another fan-out, retrieval, and synthesis cycle against the live index.<\/p>\n<p><strong>Step Five: Source Citation.<\/strong> The synthesized answer links back to the sources it drew from. <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs analyzed 730,000 query pairs in December 2025 and found that only 3% of AI Mode responses lack sources, compared with 11% for AI Overviews.<\/a> Those citation links let a reader check the claim. They also determine whether a brand appears in the conversation at all.<\/p>\n<h2>What Query Fan-Out Looks Like In A Real Shopping Query<\/h2>\n<p>Query fan-out changes how a single shopping question turns into many related searches. Consider the query: \u201cWhat is the best adjustable bed for back pain under $2,000?\u201d A human might treat this as one question. AI Mode treats it as a starting point. <a href=\"https:\/\/searchengineland.com\/guide\/how-to-optimize-for-query-fan-out\" target=\"_blank\" rel=\"noindex nofollow\">In fan-out retrieval, AI search systems treat the original query as a starting point rather than a final instruction and infer what else the user might need to know.<\/a> The sub-queries AI Mode would generate from this example include:<\/p>\n<ul>\n<li>What are the top-rated adjustable beds for back pain?<\/li>\n<li>What features matter most in an adjustable bed for lumbar support?<\/li>\n<li>Which adjustable bed brands are most recommended by sleep specialists?<\/li>\n<li>What is the price range for quality adjustable beds?<\/li>\n<li>What do customer reviews say about adjustable beds under $2,000?<\/li>\n<li>How does an adjustable bed compare to a standard mattress for back pain relief?<\/li>\n<\/ul>\n<p>Each sub-query runs against Google\u2019s live index independently. Gemini then reads across all the retrieved sources and synthesizes a single answer that addresses the original question from every angle. A brand that appears across those sub-queries earns a citation. <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">A SurferSEO study of 173,902 URLs and 33,000 fan-out queries found that pages ranking for fan-out sub-queries are 161% more likely to be cited than pages ranking only for the head term.<\/a><\/p>\n<h2>Google AI Mode Vs AI Overviews: How The Two Surfaces Behave<\/h2>\n<p>AI Mode and AI Overviews share the Gemini model family and both live inside Google Search, yet they behave very differently. The difference is structural rather than cosmetic.<\/p>\n<p>AI Overviews appear automatically at the top of a standard results page for eligible queries. <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">AI Overviews trigger automatically on 48% of tracked queries across commercial verticals<\/a>, and the user does not explicitly request them. The response is short, typically one to three paragraphs, and the normal blue links appear below it. The session usually ends there.<\/p>\n<p>AI Mode functions as a separate, opt-in conversational tab. The entire page becomes an AI conversation, and Google does not show blue links on that surface. <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">AI Mode responses are about four times longer than AI Overviews responses and mention more entities per response (3.3 versus 1.3).<\/a> The user keeps asking follow-ups and the context carries across the session. <a href=\"https:\/\/pepper.inc\/blog\/how-google-ai-mode-works\" target=\"_blank\" rel=\"noindex nofollow\">AI Mode sessions run roughly three times longer than traditional Google Search.<\/a> Users drive that length by asking three to five follow-up turns per query.<\/p>\n<p>The citation overlap between the two surfaces stays surprisingly small. <a href=\"https:\/\/pepper.inc\/blog\/how-google-ai-mode-works\" target=\"_blank\" rel=\"noindex nofollow\">For the same query, only about 13.7% of citations overlap between AI Overviews and AI Mode<\/a>, even though <a href=\"https:\/\/pepper.inc\/blog\/how-google-ai-mode-works\" target=\"_blank\" rel=\"noindex nofollow\">the two surfaces reach the same conclusion 86% of the time semantically<\/a>. The shared model layer explains why the same content signals can earn citations on both surfaces. The retrieval mechanics differ, which causes the source sets to diverge sharply.<\/p>\n<p>The Gemini app adds a third distinct surface. <a href=\"https:\/\/plain-intelligence.com\/blog\/ai-search\/google-ai-mode-complete-guide-for-2026\" target=\"_blank\" rel=\"noindex nofollow\">The Gemini app is a general assistant that may ground answers in Search when needed, while AI Mode is Google Search itself in conversational form, always grounded in live results and sitting directly in the search journey where commercial intent lives.<\/a><\/p>\n<h2>Is Google AI Mode Free? Cost And Access Explained<\/h2>\n<p>The core AI Mode experience is available without a paid subscription, though some advanced features such as Deep Search and expanded Gemini 3 Pro access require Google AI Pro or Ultra. Users with a personal Google account can typically access AI Mode by going to google.com\/ai, tapping the AI Mode button in Google Search, or opening the Google app and tapping the AI Mode icon, subject to regional and account eligibility requirements. No subscription is required for standard conversational queries.<\/p>\n<p>Google\u2019s AI subscription tiers add higher usage limits and expanded model access. The tier structure as of 2026 is:<\/p>\n<ul>\n<li><strong>Free:<\/strong> Standard AI Mode access with base usage limits.<\/li>\n<li><strong>Google AI Plus ($4.99\/month):<\/strong> 2x higher usage limits in Gemini, 400 GB of storage, and access to Gemini 3.1 Pro and Deep Research.<\/li>\n<li><strong>Google AI Pro ($19.99\/month):<\/strong> 4x higher usage limits, access to Deep Search in AI Mode, Gemini Spark, and 5 TB of cloud storage.<\/li>\n<li><strong>Google AI Ultra (starting at $99.99\/month):<\/strong> Up to 20x higher usage limits, access to Deep Think reasoning mode, and 20 TB of storage, with a higher-priced Ultra 20x variant at $199.99\/month offering 30 TB.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/macrumors.com\/2026\/08\/19\/students-free-year-google-ai-pro\" target=\"_blank\" rel=\"noindex nofollow\">As of August 2026, eligible college students in the United States can get a free year of Google AI Pro.<\/a> AI Mode is available on both Android and iOS through the Google app, with the same tier structure applying across devices. Only personal Google accounts can subscribe to Google AI plans; Google Workspace customers must sign up for a Gemini add-on to their existing subscription.<\/p>\n<h2>Can You Turn Off Google AI Mode? Control And Privacy<\/h2>\n<p>Control and privacy settings for AI Mode mirror the broader Google ecosystem. AI Mode is opt-in by design. Users access it by choosing the AI Mode tab, and it does not replace the standard Search experience by default. If you do not tap the AI Mode tab, you receive the standard Google Search results page.<\/p>\n<p>On data handling, <a href=\"https:\/\/seoptimate.com\/blog\/google-ai-mode-explained\" target=\"_blank\" rel=\"noindex nofollow\">Google applies the same account-level privacy settings to AI Mode as it does to standard Search.<\/a> If Google Search History is enabled, AI Mode queries are stored and can be reviewed or deleted via Google account settings. If Search History is off, AI Mode sessions are not saved once closed.<\/p>\n<p>Personal Intelligence, the feature that connects AI Mode to Gmail, Google Photos, and other Google apps, sits on a separate layer with its own controls. <a href=\"https:\/\/thekeyword.co\/news\/google-personal-intelligence-free-users\" target=\"_blank\" rel=\"noindex nofollow\">Personal Intelligence is off by default and requires users to explicitly opt in.<\/a> Users can select which apps to connect and can disconnect any service at any time through their Google account settings. <a href=\"https:\/\/blog.google\/products-and-platforms\/products\/search\/personal-intelligence-expansion\" target=\"_blank\" rel=\"noindex nofollow\">Google states that Gemini and AI Mode do not train directly on a user\u2019s Gmail inbox or Google Photos library; instead, Google trains on limited information such as specific prompts in Gemini or AI Mode and the model\u2019s responses.<\/a><\/p>\n<p>For site owners, <a href=\"https:\/\/inspeccia.com\/en\/google-ai-mode-what-it-is-and-how-to-appear\" target=\"_blank\" rel=\"noindex nofollow\">Google offers a control in Search Console to decide if a site appears in generative AI Search features.<\/a> Opting out removes the site from those features, and Google says that choice will not be used as a ranking signal for ordinary results.<\/p>\n<h2>Google AI Mode Vs ChatGPT: An Architecture Comparison<\/h2>\n<p>Architecture explains why Google AI Mode and ChatGPT excel at different tasks. They start from different organizing principles and serve different user needs. The table below highlights four dimensions that shape which system performs better for a given query: core purpose, web access, search strategy, and personal context.<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>Google AI Mode<\/th>\n<th>ChatGPT<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Core Purpose<\/td>\n<td>Conversational search anchored to the live web index, built for queries that are long, multi-part, and comparative<\/td>\n<td>General-purpose AI assistant anchored to the user\u2019s ongoing tasks, with optional web browsing<\/td>\n<\/tr>\n<tr>\n<td>Web Access<\/td>\n<td><a href=\"https:\/\/plain-intelligence.com\/blog\/ai-search\/google-ai-mode-complete-guide-for-2026\" target=\"_blank\" rel=\"noindex nofollow\">Always grounded in live Google Search results, where retrieval is the default behavior<\/a><\/td>\n<td>Web browsing available but not the default for every query, and the system draws on training data first<\/td>\n<\/tr>\n<tr>\n<td>Search Strategy<\/td>\n<td><a href=\"https:\/\/pepper.inc\/blog\/how-google-ai-mode-works\" target=\"_blank\" rel=\"noindex nofollow\">Query fan-out of 5 to 16 parallel sub-queries per prompt, with complex B2B queries averaging 9 to 11 sub-queries<\/a><\/td>\n<td><a href=\"https:\/\/pepper.inc\/blog\/how-google-ai-mode-works\" target=\"_blank\" rel=\"noindex nofollow\">Query expansion that typically runs roughly 2.3 to 2.8 sub-queries per prompt, which is far less aggressive than AI Mode\u2019s fan-out<\/a><\/td>\n<\/tr>\n<tr>\n<td>Personal Context<\/td>\n<td><a href=\"https:\/\/blog.google\/products-and-platforms\/products\/search\/personal-intelligence-expansion\" target=\"_blank\" rel=\"noindex nofollow\">Optional Personal Intelligence connects Gmail, Google Photos, YouTube, and Search history, and remains strictly opt-in<\/a><\/td>\n<td>Memory feature stores context users provide manually and cannot access a Gmail inbox or photo library<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Google AI Mode works best for research-oriented queries where live web grounding matters and where the user wants to follow a thread across multiple turns. ChatGPT works best for open-ended reasoning, creative tasks, and long-horizon conversations where the user is not primarily seeking current web information.<\/p>\n<p>Perplexity occupies a middle position. <a href=\"https:\/\/searchengineland.com\/guide\/how-to-optimize-for-query-fan-out\" target=\"_blank\" rel=\"noindex nofollow\">Perplexity\u2019s official documentation describes issuing multiple related queries together to improve topic coverage<\/a>. That approach brings its retrieval behavior closer to AI Mode than to standard ChatGPT, although it lacks Google\u2019s index depth and the session-persistent conversational memory AI Mode provides.<\/p>\n<h2>Where Google AI Mode Falls Short For Brands<\/h2>\n<p>AI Mode introduces new discovery opportunities, but it also comes with clear limitations for brands and researchers.<\/p>\n<p><strong>Shallow Fan-Out On Niche Topics.<\/strong> When a query touches a domain with thin web coverage, the sub-queries fan out but retrieve low-quality or repetitive sources. The synthesized answer can sound authoritative while drawing from a narrow, homogeneous source pool.<\/p>\n<p><strong>Low-Quality Source Retrieval.<\/strong> <a href=\"https:\/\/inspeccia.com\/en\/google-ai-mode-what-it-is-and-how-to-appear\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s own help documentation states that \u201cAI Mode doesn\u2019t always get it right,\u201d which is why the product offers thumbs up and thumbs down feedback controls to correct it.<\/a> Live retrieval means the quality of the answer is only as good as what is currently indexed. Low-quality pages can contaminate the synthesis.<\/p>\n<p><strong>Brand Drift Across Follow-Up Turns.<\/strong> <a href=\"https:\/\/muratulusoy.de\/en\/blog\/google-ai-mode-seo.html\" target=\"_blank\" rel=\"noindex nofollow\">A brand cited in turn one because it fits the content can be replaced by turn three because a competitor is available as a Knowledge Graph entity and the brand is not.<\/a> A single strong page rarely holds citation across a multi-turn session.<\/p>\n<p><strong>Thin Citation Trails On Complex Claims.<\/strong> AI Mode cites sources, but the citation chips link to the page, not to the specific passage. For complex or contested claims, the reader has to do their own verification work inside the linked page.<\/p>\n<p><strong>Zero-Click Dominance.<\/strong> <a href=\"https:\/\/ai-advisors.ai\/glossary\/google-ai-mode\" target=\"_blank\" rel=\"noindex nofollow\">AI Mode has a 93% zero outbound clicks rate<\/a>, which means citation visibility functions as brand exposure rather than a guaranteed traffic event. Brands that measure success only in referral clicks will undercount the value of AI Mode presence and overcount the perceived cost of zero-click answers.<\/p>\n<p> <a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" target=\"_blank\"><strong>See how AI Growth Agent maps your brand\u2019s search universe across AI Mode, AI Overviews, and ChatGPT, and turns that coverage into measurable visibility.<\/strong><\/a><\/p>\n<h2>Why Being The Source AI Mode Cites Now Decides Visibility<\/h2>\n<p>Source status inside AI Mode now determines whether a brand appears in high-intent conversations. Because Google AI Mode retrieves from the live Search index, reasons over what it finds, and cites its sources, what those systems can find, trust, and cite now decides whether a brand exists in the conversation at all. Google reports more than one billion monthly active users for AI Mode as of May 2026. That scale shows how much discovery now happens without a traditional click.<\/p>\n<p>The discovery shift is accelerating. Customers ask ChatGPT, Perplexity, and Google\u2019s AI Mode, and the answer increasingly appears inside the AI interface. Traditional search tools show where a brand stands today and act as a rearview mirror. Brands now need narrative control. That means producing the content the models will use to describe the brand, in formats and structures the models can read, with the validation that earns the citation.<\/p>\n<p>AI Growth Agent focuses on that narrative control. The platform maps a brand\u2019s full universe of seed terms and long-tail queries from real-time Google and ChatGPT data. It then produces authoritative content that validates every claim and source. The team stands up a fully optimized site the client owns within the first week and reports the incremental visibility it generates week over week. The content behaves as a living system that updates and self-heals over time instead of going stale. Across the first twelve weeks, 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.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" target=\"_blank\"><video src=\"https:\/\/cdn.aigrowthmarketer.co\/1779159451320-5a90f189a229.mp4\" style=\"max-height: 500px;\" autoplay loop muted playsinline><\/video><\/a><figcaption><em>AI Growth Agent&#039;s Content Planner show each brand&#039;s universe of search (tracked prompts\/queries) and its visibility (ranking rate) on both Google Rankings, Google AI Overviews, and ChatGPT citations and mentions.<\/em><\/figcaption><\/figure>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" target=\"_blank\"><video src=\"https:\/\/cdn.aigrowthmarketer.co\/1779160037512-1ef412c1e09b.mp4\" style=\"max-height: 500px;\" autoplay loop muted playsinline><\/video><\/a><figcaption><em>Example of long-form article produced by AI Growth Agent: fact-checked, credible research meets unique content, derives from a brand&#039;s Company Manifesto.<\/em><\/figcaption><\/figure>\n<p>Client results show how citation share translates into business outcomes. Leva Sleep is now the most mentioned retailer for adjustable beds in Canada, with ChatGPT citing Leva Sleep content over 10,000 times per month and $40,000 to $50,000 in deals closed in under three weeks from buyers who found them through AI Growth Agent content. Breadless is now one of the most recommended healthy franchises in the US, ahead of CAVA, Rush Bowls, and Sweetgreen in its search universe, with ChatGPT citing eatbreadless.com over 45,000 times per month. These metrics track citations and mentions, which now function as the new leaderboard.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1784770867905-37ab03798ac6.png\" alt=\"AI Growth Agent&#039;s Reporting dashboard, with ranking rates and their separation between Primary Domain results, Overlapping results, and AI Growth Agent content results (incremental visibility).\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>AI Growth Agent&#039;s Reporting dashboard, with ranking rates and their separation between Primary Domain results, Overlapping results, and AI Growth Agent content results (incremental visibility).<\/em><\/figcaption><\/figure>\n<p>The brands cited in AI search this year are training the next generation of models with their own narrative. Brands that wait allow the next generation to train on whatever happens to be sitting on the open web.<\/p>\n<p> <a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" target=\"_blank\"><strong>Get your first citation-ready article live within a week and see how AI Growth Agent turns that content into sustained AI visibility.<\/strong><\/a><\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/brand-visibility-google-ai-mode\" target=\"_blank\">How To Win Brand Visibility in Google AI Mode<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/google-ai-mode-vs-overviews\" target=\"_blank\">Google AI Mode vs. AI Overviews: Key Differences<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/google-ai-mode-marketing\" target=\"_blank\">Google AI Mode Marketing: The 2026 Playbook for Visibility<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/does-google-ai-mode-traffic\" target=\"_blank\">Does Google AI Mode Send Traffic to Websites?<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/google-ai-mode-content-strategy\" target=\"_blank\">Google AI Mode Content Strategy: Win AI Citations in 2026<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn how Google AI Mode&#8217;s query fan-out changes brand visibility. Let AI Growth Agent make your brand the source AI Mode cites first.<\/p>\n","protected":false},"author":1,"featured_media":6319,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-6320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wordpress"],"_links":{"self":[{"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/posts\/6320","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/comments?post=6320"}],"version-history":[{"count":0,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/posts\/6320\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/media\/6319"}],"wp:attachment":[{"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/media?parent=6320"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/categories?post=6320"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/tags?post=6320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}