{"id":6421,"date":"2026-09-20T05:01:51","date_gmt":"2026-09-20T05:01:51","guid":{"rendered":"https:\/\/aigrowthagent.co\/articles\/ai-search-ranking-factors\/"},"modified":"2026-09-20T05:01:51","modified_gmt":"2026-09-20T05:01:51","slug":"ai-search-ranking-factors","status":"publish","type":"post","link":"https:\/\/aigrowthagent.co\/articles\/ai-search-ranking-factors\/","title":{"rendered":"How To Rank In AI Search Results: Key Ranking Factors"},"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>AI search ranking runs through a multi-stage pipeline. Retrieval-stage factors differ from citation-stage factors, so traditional SEO factor lists cover only part of the picture.<\/li>\n<li>Retrieval depends on crawlability, indexation, and semantic relevance. Citation depends on extractability, authority, and entity consistency at later stages.<\/li>\n<li>Authority and trust signals get a page through the trust gate, but they do not decide which passages the model cites in its answers.<\/li>\n<li>Teams should move beyond chasing rankings or publishing commodity content and focus on self-contained answers, consistent entity signals, and first-hand insights.<\/li>\n<li>AI Growth Agent supports every stage of the pipeline, from mapping the query universe to publishing self-healing content that earns citations.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">Book A Demo With AI Growth Agent<\/a><\/p>\n<h2>Stages Of The AI Search Ranking Pipeline<\/h2>\n<p>This pipeline is the spine of the article. Each stage runs on different factors, so knowing where a factor operates guides budget and effort.<\/p>\n<ol>\n<li><strong>Query Understanding.<\/strong> The system parses the user\u2019s prompt to identify intent, entities, and the type of answer required.<\/li>\n<li><strong>Query Expansion And Fan-Out.<\/strong> The system issues multiple related sub-queries across different subtopics to gather a broader set of candidate sources. <a href=\"https:\/\/demandsphere.com\/blog\/google-ai-optimization-guide-ai-search-is-still-search\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s documentation describes this as query fan-out<\/a>, used by both AI Overviews and AI Mode, with an example query like \u201chow to fix a lawn full of weeds\u201d triggering simultaneous sub-queries for \u201cbest herbicides,\u201d \u201cremove weeds without chemicals,\u201d and \u201cprevent weeds in lawn.\u201d<\/li>\n<li><strong>Retrieval.<\/strong> The system pulls candidate pages from its index. Google\u2019s AI features use the same Search index that powers traditional results, and <a href=\"https:\/\/gist.ai\/blog\/where-chatgpt-get-its-information\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT Search draws primarily from OpenAI\u2019s own index built by OAI-SearchBot<\/a>, which has historically pulled signal from Bing\u2019s results.<\/li>\n<li><strong>Ranking.<\/strong> Candidate pages are scored against core ranking systems. Google states its generative AI features are rooted in its core Search ranking and quality systems.<\/li>\n<li><strong>Reranking.<\/strong> Surviving passages are re-scored at the passage level. <a href=\"https:\/\/examinotion.com\/blog\/ai-103-rag-azure-ai-search-tutorial\" target=\"_blank\" rel=\"noindex nofollow\">Microsoft\u2019s Azure AI Search semantic ranker takes the top results from an initial pass and reranks them using language-understanding models<\/a>, returning a relevance score alongside semantic captions.<\/li>\n<li><strong>Answer Generation.<\/strong> The model synthesizes an answer from the retrieved passages, grounding each claim in a specific source.<\/li>\n<li><strong>Source Selection.<\/strong> The system decides which sources to cite. Extractability, authority, and entity consistency at this stage decide whether a retrieved page becomes a cited page.<\/li>\n<\/ol>\n<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">See Which Pipeline Stage Is Blocking Your Citations<\/a><\/p>\n<h2>Retrieval-Stage Factors: Relevance And Semantic Understanding<\/h2>\n<p>The first stage of this pipeline that SEO teams recognize is retrieval. Google\u2019s May 2026 AI optimization guide states that its generative AI features are \u201crooted in our core Search ranking and quality systems.\u201d Traditional signals such as crawlability, indexation, content quality, and earned authority still govern whether a page enters the candidate set. A page must be indexed and eligible to appear in Search with a snippet before AI features can consider it.<\/p>\n<p>Google distinguishes between a page being eligible for retrieval and being selected for an answer. Ranking helps a page enter the candidate set but does not guarantee citation in the generated response. <a href=\"https:\/\/growthx.ai\/learn\/how-to-get-recommended-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Research from seoClarity found that 97% of AI Overviews cite at least one source from the top 20 organic results<\/a>, which makes retrievability table stakes. Yet <a href=\"https:\/\/firstmotion.com\/insights\/how-google-ai-mode-and-ai-overviews-select-sources\" target=\"_blank\" rel=\"noindex nofollow\">analyses in 2026 found that roughly 62% of AI Overview citations come from pages outside the organic top 10, though reported figures vary by study and date<\/a>, so a number-one ranking often appears without any AI mention.<\/p>\n<p>Teams that celebrate rankings producing zero AI mentions treat retrieval as the finish line. Retrieval acts as the entry ticket. Citation requires passing additional gates at reranking and source selection, where traditional ranking signals carry far less weight.<\/p>\n<p>This pattern holds across the major AI surfaces. <a href=\"https:\/\/corymaki.com\/how-google-ai-overviews-choose-citations-query-fan-out\" target=\"_blank\" rel=\"noindex nofollow\">Google AI Overviews narrows 200 to 500 candidate documents down to 5 to 15 cited sources<\/a>. The filtering moves through four stages: semantic retrieval, authority filtering, passage-level reranking, and final synthesis. <a href=\"https:\/\/gist.ai\/blog\/where-chatgpt-get-its-information\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT Search collects candidate pages, deduplicates them, ranks for relevance and authority, and then uses them to build the answer<\/a>. Perplexity crawls in near real-time and processes structured data alongside visible content. Each surface runs its own pipeline, and each one separates retrieval from citation.<\/p>\n<h2>Authority And Trust Signals: Passing The Trust Gate<\/h2>\n<p>Authority and trust decide whether a passage clears the trust gate. <a href=\"https:\/\/growthx.ai\/learn\/how-to-get-recommended-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s Search Quality Evaluator Guidelines place trust at the top of the E-E-A-T framework<\/a>, stating a page cannot make up for being untrustworthy no matter how experienced, expert, or authoritative it otherwise seems. <a href=\"https:\/\/aioseo.fr\/en\/microsoft-clarity-bing-webmaster-tools-the-only-geo-stack-that-actually-measures-llm-visibility\" target=\"_blank\" rel=\"noindex nofollow\">Microsoft\u2019s rewritten Bing Webmaster Guidelines define GEO as content eligibility for grounding and reference in AI answers, and explicitly state that GEO does not guarantee citation<\/a>, just as SEO does not guarantee ranking.<\/p>\n<p><a href=\"https:\/\/stridec.com\/blog\/how-does-google-ai-overview-select-sources\" target=\"_blank\" rel=\"noindex nofollow\">A page can rank in the top three blue links and still be skipped by the AI Overview panel if its content cannot be cleanly lifted. A page ranking at position eight can be cited if it states the answer in two sentences with a named data point.<\/a> The trust gate behaves closer to pass or fail than to a smooth gradient. <a href=\"https:\/\/llmgapanalyzer.com\/how-ai-overviews-choose-sources\" target=\"_blank\" rel=\"noindex nofollow\">Passages with named authors, evidence near claims, dates, and first-hand markers pass, while orphaned confident assertions get dropped regardless of the domain they live on.<\/a><\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">See How AI Growth Agent Helps You Clear The Trust Gate<\/a><\/p>\n<h2>Extractable Answers And Page Structure<\/h2>\n<p>Extractability decides which passages the model can safely quote. AI Overviews cite passages rather than whole pages. <a href=\"https:\/\/aisyndicate.com\/blog\/how-ai-overviews-choose-sources\" target=\"_blank\" rel=\"noindex nofollow\">The citation unit is a specific extractable answer within a page. A page that is broadly \u201cabout\u201d a topic loses to a page containing a paragraph that directly answers the exact question.<\/a><\/p>\n<p>Google\u2019s documentation states that its systems \u201care able to understand the nuance of multiple topics on a page and show the relevant piece to users.\u201d At the same time, <a href=\"https:\/\/machinerelations.ai\/glossary\/extractable-content\" target=\"_blank\" rel=\"noindex nofollow\">research on structure-preserving retrieval shows that standard retrieval pipelines linearize documents into fixed-size chunks before indexing<\/a>. That process obscures section structure, tables, and lists and makes it harder to return citation-ready evidence without losing surrounding context.<\/p>\n<p>The practical requirements follow from this retrieval behavior. Because the model maps passages to queries, each section should open with a self-contained answer in the first two to four sentences and use question-phrased headings. Because the model needs to distinguish content types, use tables for comparisons, lists for steps, and Article, FAQPage, and Organization schema to identify authorship and entity relationships. Google states that structured data is not required for generative AI search, yet <a href=\"https:\/\/menra.ai\/guides\/ai-overviews-structured-data\" target=\"_blank\" rel=\"noindex nofollow\">on competitive queries, clean JSON-LD often separates equally relevant passages<\/a>.<\/p>\n<p>Extractability acts at the generation and source-selection stages rather than at retrieval. A page can clear the retrieval gate and still lose at source selection because its answer sits under a long preamble, appears only in content injected by JavaScript the crawler cannot execute, or depends on surrounding context to make sense. <a href=\"https:\/\/suffdigital.com\/resources\/guides\/google-ai-overviews\" target=\"_blank\" rel=\"noindex nofollow\">Even one accurate two-sentence summary before the deeper content noticeably raises citation rate on informational queries.<\/a> The table below maps each pipeline stage to its primary factors and shows which ones carry over from traditional SEO.<\/p>\n<table>\n<thead>\n<tr>\n<th>Pipeline Stage<\/th>\n<th>Primary Factors<\/th>\n<th>Inherited From Traditional SEO?<\/th>\n<th>AI Growth Agent Capability<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Retrieval<\/td>\n<td>Crawlability, indexation, semantic relevance<\/td>\n<td>Yes<\/td>\n<td>Agentic technical SEO, sitemaps, robots.txt<\/td>\n<\/tr>\n<tr>\n<td>Ranking<\/td>\n<td><a href=\"https:\/\/growthx.ai\/learn\/how-to-get-recommended-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Core ranking systems, E-E-A-T<\/a><\/td>\n<td>Yes<\/td>\n<td>Evidence-based content, primary-source validation<\/td>\n<\/tr>\n<tr>\n<td>Reranking<\/td>\n<td><a href=\"https:\/\/examinotion.com\/blog\/ai-103-rag-azure-ai-search-tutorial\" target=\"_blank\" rel=\"noindex nofollow\">Passage-level relevance, information density<\/a><\/td>\n<td>Partially<\/td>\n<td>Self-contained answer units, structured headings<\/td>\n<\/tr>\n<tr>\n<td>Source Selection<\/td>\n<td><a href=\"https:\/\/aioseo.fr\/en\/microsoft-clarity-bing-webmaster-tools-the-only-geo-stack-that-actually-measures-llm-visibility\" target=\"_blank\" rel=\"noindex nofollow\">Extractability, entity consistency, freshness<\/a><\/td>\n<td>No<\/td>\n<td>Living content, schema, entity alignment<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Evidence, Freshness, And Entity Consistency<\/h2>\n<p>Evidence quality, recency, and clean entity signals decide which brand the model trusts for a given fact. <a href=\"https:\/\/demandsphere.com\/blog\/google-ai-optimization-guide-ai-search-is-still-search\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s AI optimization guide emphasizes \u201cnon-commodity content,\u201d contrasting commodity content such as \u201c7 Tips for First-Time Homebuyers\u201d with a non-commodity alternative like \u201cWhy We Waived the Inspection and Saved Money: A Look Inside the Sewer Line.\u201d<\/a> Content that provides unique insight beyond common knowledge earns retrieval, while content that only restates existing information struggles to surface.<\/p>\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>Freshness matters most for changing subjects. <a href=\"https:\/\/growthx.ai\/learn\/how-to-get-recommended-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Ahrefs measured roughly 17 million cited URLs and found AI-cited content averages 25.7% fresher than organic SERP results.<\/a> Freshness remains query-dependent. Evergreen definitional queries tolerate older sources, while topical or moving queries rotate citations toward more recent sources.<\/p>\n<p>Entity consistency often delivers the largest quick win. <a href=\"https:\/\/aknigam.com\/insights\/ai-search-ranking-factors\" target=\"_blank\" rel=\"noindex nofollow\">AI engines resolve entities by triangulating schema markup, sameAs links, Wikipedia and Wikidata entries, and third-party descriptions.<\/a> When these signals disagree, engines may pick an unintended version or skip the entity entirely. The same product described differently across the site, schema, and third-party profiles creates ambiguity that suppresses citation. <a href=\"https:\/\/aioseo.fr\/en\/microsoft-clarity-bing-webmaster-tools-the-only-geo-stack-that-actually-measures-llm-visibility\" target=\"_blank\" rel=\"noindex nofollow\">Microsoft\u2019s Bing Webmaster Guidelines spell out grounding selection criteria explicitly: facts stated directly rather than implied, clear and consistent entity names, one intent per URL, and essential information placed at the top of the page.<\/a><\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">Audit Your Evidence, Freshness, And Entity Signals<\/a><\/p>\n<h2>What To Stop Doing For AI Citations<\/h2>\n<p>Several inherited SEO habits still influence retrieval yet no longer move the needle at source selection.<\/p>\n<ul>\n<li>Stop treating rankings as the finish line. <a href=\"https:\/\/firstmotion.com\/insights\/how-google-ai-mode-and-ai-overviews-select-sources\" target=\"_blank\" rel=\"noindex nofollow\">A number-one ranking does not guarantee AI citation<\/a>, and the overlap between top-10 results and AI Overview sources has roughly halved over 18 months.<\/li>\n<li>Stop optimizing for a single head term when <a href=\"https:\/\/corymaki.com\/how-google-ai-overviews-choose-citations-query-fan-out\" target=\"_blank\" rel=\"noindex nofollow\">AI systems fan out into dozens of sub-queries<\/a> that the user never typed.<\/li>\n<li>Stop publishing commodity content that restates what already exists. <a href=\"https:\/\/demandsphere.com\/blog\/google-ai-optimization-guide-ai-search-is-still-search\" target=\"_blank\" rel=\"noindex nofollow\">Google\u2019s guidance distinguishes commodity content from non-commodity content<\/a> and rewards the latter.<\/li>\n<li>Stop bolting FAQ schema onto content with no genuine question-and-answer structure. <a href=\"https:\/\/suffdigital.com\/resources\/guides\/google-ai-overviews\" target=\"_blank\" rel=\"noindex nofollow\">That pattern is discounted quickly by Google\u2019s systems and can trigger manual action in extreme cases.<\/a><\/li>\n<li>Stop bumping dateModified without real content changes. <a href=\"https:\/\/aknigam.com\/insights\/ai-search-ranking-factors\" target=\"_blank\" rel=\"noindex nofollow\">Engines detect cosmetic date bumps and do not treat them as freshness signals.<\/a><\/li>\n<\/ul>\n<p>Crawlability, indexation, page experience, and earned authority still gate retrieval and remain foundational. Passage-level extractability, entity consistency across schema and third-party profiles, and information gain from original first-party data now decide which pages earn citations.<\/p>\n<h2>How To Prioritize AI Search Work<\/h2>\n<p>Teams should fund the factors that gate everything else before they fund multipliers. Crawlability, indexation, and entity consistency sit in this gate category. If the crawler cannot fetch and read the page, nothing else counts. If the entity appears ambiguous across schema and third-party profiles, the system may skip the entity entirely. These factors behave as binary checks.<\/p>\n<p>Extractability, authority, and freshness act as multipliers. Extractability decides whether a retrieved page becomes a cited page. Authority decides whether the trust gate passes. Freshness decides whether the page stays in the citation pool as the world changes. These factors compound over time.<\/p>\n<p>Fund the gates first, then the multipliers, because gates are binary and multipliers compound. Spending on extractability before crawlability and entity consistency are fixed wastes budget. AI Growth Agent is built to address both in sequence, operating across every stage of the pipeline from mapping the universe to publishing self-healing content that earns citations. 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%+ 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<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">Get A Pipeline-Wide AI Search Plan<\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How To Rank In AI Search Results?<\/h3>\n<p>Ranking in AI search results requires both retrievability and citability. Pages must be indexed and eligible to appear in Search with a snippet. Beyond that, pages need extractable passages that directly answer the query, clear entity signals, and authority that passes the trust gate. Google\u2019s AI optimization guide states that its generative AI features are rooted in core Search ranking and quality systems, so traditional SEO remains foundational. Source selection at the end of the pipeline then relies on passage-level extractability, entity consistency, and information gain.<\/p>\n<h3>How To Optimize A Website For AI Search?<\/h3>\n<p>Teams should optimize for retrieval first by ensuring crawlability, indexation, and page experience. They should then optimize for citation by leading each section with a self-contained answer, using question-phrased headings, adding Article and Organization schema, and maintaining consistent entity descriptions across the site, schema, and third-party profiles. Google\u2019s documentation states there is no special schema.org markup required for AI features, yet structured data helps models identify content type and entity relationships, and on competitive queries it often separates equally relevant passages. Entity consistency remains the highest-impact factor many teams overlook.<\/p>\n<h3>What Is The Difference Between Ranking And Being Cited In AI Search?<\/h3>\n<p>Ranking means a page appears in the traditional ordered list of search results. Being cited means an AI system references the page as a source in a generated answer. Google distinguishes between a page being eligible for retrieval and being selected for an answer. The citation unit is a specific extractable passage within a page rather than the overall authority of the domain. As noted earlier, most AI Overview citations come from outside the organic top 10, so citation selection operates as a separate step with its own governing factors.<\/p>\n<h3>Does Traditional SEO Still Matter For AI Search?<\/h3>\n<p>Traditional SEO still matters because it controls retrieval. Google states that its generative AI features are rooted in its core Search ranking and quality systems. Signals such as crawlability, indexation, content quality, and earned authority remain relevant. Extractability, entity consistency, and information gain now decide whether a retrieved page becomes a cited page. Traditional SEO gets a page into the candidate set, while citation-stage factors decide whether it exits that set as a cited source.<\/p>\n<h3>What Is AI Growth Agent And How Does It Address These Factors?<\/h3>\n<p>AI Growth Agent is a Level 4 autonomous engine that maps, writes, publishes, and self-heals content across the AI search surfaces. It maps a brand\u2019s full universe of seed terms and long-tail queries from real-time Google and ChatGPT data, produces authoritative content that validates every claim and source, 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 living content that updates and self-heals over time instead of going stale. Every site ships with the full technical and agentic SEO stack, including Blog MCP, llms.txt, the full schema suite, and bot tracking, so the gates and multipliers are addressed in the same engine rather than across a stack of disconnected tools.<\/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><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">Talk With The AI Growth Agent Team<\/a><\/p>\n<h2>The AI Search Pipeline Thesis<\/h2>\n<p>AI search ranking runs across a pipeline with distinct stages, and each stage depends on different factors. Retrieval-stage factors such as crawlability, indexation, and semantic relevance gate everything else. Citation-stage factors such as extractability, authority, and entity consistency decide whether a retrieved page becomes a cited page. A factor that wins retrieval can have little influence at reranking and source selection, so factor lists that ignore stages miss how AI systems actually choose sources.<\/p>\n<p>The brands appearing in AI answers this year are training the next generation of models with their own narrative. The brands that wait allow the next generation to train on whatever happens to be sitting on the open web. AI Growth Agent supports every stage of the pipeline, from mapping the universe to publishing self-healing content that earns citations.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/book-a-demo\/\" class=\"solid-button\" target=\"_blank\">See How AI Growth Agent Maps Your Pipeline<\/a><\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/increase-ai-search-citations\" target=\"_blank\">How To Increase Citations In AI Search In 2026<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-mode-ranking-factors\" target=\"_blank\">AI Mode Ranking Factors: 12 Signals That Drive Citations<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-overview-ranking-factors\" target=\"_blank\">AI Overview Ranking Factors: The 2026 Guide to Getting Cited<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/optimize-website-ai-search-engines\" target=\"_blank\">AI Search Optimization: Get Cited by AI Engines<\/a><\/li>\n<li><a href=\"https:\/\/aigrowthagent.co\/articles\/rank-new-ai-search-engines\" target=\"_blank\">How to Rank Higher in AI Search Engines in 2026<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn the AI search ranking factors that drive citations. AI Growth Agent helps you optimize every pipeline stage. Start winning AI citations today.<\/p>\n","protected":false},"author":1,"featured_media":6420,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-6421","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\/6421","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=6421"}],"version-history":[{"count":0,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/posts\/6421\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/media\/6420"}],"wp:attachment":[{"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/media?parent=6421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/categories?post=6421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aigrowthagent.co\/articles\/wp-json\/wp\/v2\/tags?post=6421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}