{"id":732690,"date":"2026-06-11T05:10:22","date_gmt":"2026-06-11T02:10:22","guid":{"rendered":"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/"},"modified":"2026-06-11T05:10:22","modified_gmt":"2026-06-11T02:10:22","slug":"how-to-make-prompt-tracking-much-more-accurate","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/","title":{"rendered":"How to make prompt tracking much more accurate"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a2ae6408e407\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a2ae6408e407\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#AI_answers_are_variable_but_measurable_Use_repeated_runs_confidence_intervals_and_journey_tracking_to_separate_signal_from_noise\" >AI answers are variable, but measurable. Use repeated runs, confidence intervals, and journey tracking to separate signal from noise.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#The_prompt-tracking_backlash_is_only_half-right\" >The prompt-tracking backlash is only half-right<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#Keyword_tracking_was_never_as_clean_as_wed_like_to_remember\" >Keyword tracking was never as clean as we\u2019d like to remember<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#Where_common_prompt_tracking_breaks\" >Where common prompt tracking breaks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#What_good_prompt_tracking_looks_like_in_practice\" >What good prompt tracking looks like in practice<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#The_next_generation_of_tracking_looks_like_polling\" >The next generation of tracking looks like polling<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/buradabiliyorum.com\/en\/how-to-make-prompt-tracking-much-more-accurate\/#Topics_on_this_page\" >Topics on this page<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"subhead\" itemprop=\"alternativeHeadline\"><span class=\"ez-toc-section\" id=\"AI_answers_are_variable_but_measurable_Use_repeated_runs_confidence_intervals_and_journey_tracking_to_separate_signal_from_noise\"><\/span>AI answers are variable, but measurable. Use repeated runs, confidence intervals, and journey tracking to separate signal from noise.<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><\/p>\n<div class=\"bialty-container\">\n<p>By now, you understand that LLMs are probabilistic systems and that AI answers are highly variable. That fact has convinced a lot of people that prompt tracking is extra noise. But discounting prompt tracking as nonsense is the wrong conclusion.<\/p>\n<p>Even though prompt tracking is much less deterministic than keyword tracking, we can significantly increase the accuracy of tracking AI mentions and citations. Repeated runs, fixed sampling rules, and confidence intervals turn variance from a reason to quit into a number you can defend.\u00a0<\/p>\n<p>By the end of this Memo, you\u2019ll know how to build that system.<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/searchengineland.com\/about:blank\" width=\"480\" height=\"320\" style=\"border: 0; background: transparent\" frameborder=\"0\" scrolling=\"no\" data-rocket-lazyload=\"fitvidscompatible\" data-lazy-src=\"https:\/\/www.growth-memo.com\/embed?transparent=1\"><\/iframe><noscript><iframe loading=\"lazy\" src=\"https:\/\/www.growth-memo.com\/embed?transparent=1\" width=\"480\" height=\"320\" style=\"border: 0; background: transparent\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/noscript><\/p>\n<p>This memo assumes that you\u2019re already:<\/p>\n<ul class=\"wp-block-list\">\n<li>Operating under the philosophy of persona-based prompt design, argued for in <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/synthetic-personas-for-better-prompt\" target=\"_blank\" rel=\"noopener\">Synthetic Personas for Better Prompt Tracking<\/a>.<\/li>\n<li>Bought into doing AI SEO \/ AEO and need a measurement system that actually tracks your progress vs. noise. Check out <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/how-much-can-we-influence-ai-responses\" target=\"_blank\" rel=\"noopener\">How Much Can We Influence AI Responses<\/a> to learn more.<\/li>\n<\/ul>\n<h2 id=\"the-prompttracking-backlash-is-only-halfright\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_prompt-tracking_backlash_is_only_half-right\"><\/span>The prompt-tracking backlash is only half-right<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2040\" height=\"1208\" http: alt=\"Where the prompt critique breaks down\" class=\"wp-image-479712\" srcset=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down.png 2040w, https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down-768x455.png 768w, https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down-1536x910.png 1536w\" data-lazy-sizes=\"(max-width: 2040px) 100vw, 2040px\" src=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down.png\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2040\" height=\"1208\" src=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down.png\" alt=\"Where the prompt critique breaks down\" class=\"wp-image-479712\" srcset=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down.png 2040w, https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down-768x455.png 768w, https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/Where-the-prompt-critique-breaks-down-1536x910.png 1536w\" sizes=\"(max-width: 2040px) 100vw, 2040px\"><\/figure>\n<\/div>\n<p>Prompt tracking critics are not wrong. Five people running the same prompt get five different answers. Within-LLM variance from sampling alone hits <a rel=\"nofollow\" target=\"_blank\" href=\"http:\/\/arxiv.org\/pdf\/2601.21339\" target=\"_blank\" rel=\"noopener\">10-34% on identical prompts<\/a>.<\/p>\n<p>Reporting a point estimate from one run is astrology. Together with AirOps, I looked at <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/shorter-focused-content-wins-in-chatgpt\" target=\"_blank\" rel=\"noopener\">815,000 prompt-page pairs<\/a> and found that after running the same prompt 3x in ChatGPT, only 2.2% of citations remain.<\/p>\n<p>Every prompt is n = 1. Given that the average prompt is 5x longer than classic search keywords, the chance that 2 people around the world use the same exact prompt is close to 0. We currently don\u2019t have any insight into what users prompt, and we might never get that data (although both <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blogs.bing.com\/webmaster\/February-2026\/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview\" target=\"_blank\" rel=\"noopener\">Bing<\/a> and <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/developers.google.com\/search\/blog\/2026\/06\/gen-ai-performance-reports\" target=\"_blank\" rel=\"noopener\">Google<\/a> are keeping us satiated, for now, by offering some AI-visibility data).<\/p>\n<p>But \u201cprobabilistic = unmeasurable\u201d is lazy thinking. The weather is probabilistic. Credit scores are probabilistic. We still forecast and track them.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-keyword-tracking-was-never-as-clean-as-we-d-like-to-remember\"><span class=\"ez-toc-section\" id=\"Keyword_tracking_was_never_as_clean_as_wed_like_to_remember\"><\/span>Keyword tracking was never as clean as we\u2019d like to remember<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Classic keyword tracking was more deterministic, but not as much as you think:<\/p>\n<ul class=\"wp-block-list\">\n<li>For local searches, results were personalized by location and device.\u00a0<\/li>\n<li>Google rescores results daily, so every rank tracker reports a position range, not a fixed number.<\/li>\n<\/ul>\n<p>The industry standardized the sampling, fixed location, clean profile, daily crawl, etc., until the noise dis<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>eared. Prompt tracking needs the same move, applied to a harder problem. An added challenge: Keyword tracking was focused on Google, but now we have tons of engines. As the market consolidates, tracking simplifies.<\/p>\n<p>I\u2019d argue there\u2019s no escaping this either as Google transitions from classic search to AI search. More searches than ever show AI Overviews, all while AI Overviews and AI Mode increasingly merge.<\/p>\n<p>At I\/O 2026, Search head Liz Reid said users increasingly ask \u201clonger, more natural-language questions,\u201d and Sundar Pichai described Search as \u201cless about individual queries\u201d and \u201cmore like an ongoing conversation.\u201d<\/p>\n<h2 id=\"where-common-prompt-tracking-breaks\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Where_common_prompt_tracking_breaks\"><\/span>Where common prompt tracking breaks<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Over the last 2 years, prompt-tracking tools have multiplied, while the methodology behind them has stalled. Where\u2019s the innovation?<\/p>\n<p><strong>The common prompt-tracking approach looks something like this:<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li>Define 25-50 prompts (brand\/category\/problem split).<\/li>\n<li>Run each prompt once per platform.<\/li>\n<li>Track daily.<\/li>\n<li>Score for citation, mention, sentiment, position.<\/li>\n<\/ul>\n<p><strong>Here are the problems I see with that approach:<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Variance<\/strong>: Only 2.3% of citations remain after three prompt runs [<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/the-consensus-gap\" target=\"_blank\" rel=\"noopener\">The Consensus Gap<\/a>]. One run is a coin flip with the answer hidden.\u00a0<\/li>\n<li><strong>Reasoning<\/strong>: High vs. low reasoning opens an 18 percentage point citation-rate gap and changes how the model searches, with high reasoning firing 4.6x more fan-out queries [<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/reasoning-lift-what-happens-to-ai\" target=\"_blank\" rel=\"noopener\">Reasoning Lift<\/a>]. An aggregate score blends two different engines into one misleading number.\u00a0<\/li>\n<li><strong>Personalization: <\/strong>Most prompt-tracking is not <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/synthetic-personas-for-better-prompt\" target=\"_blank\" rel=\"noopener\">persona-specific<\/a>, so it reports generic answers that no one sees.<\/li>\n<li><strong>Monthly cadence<\/strong>: SISTRIX <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.sistrix.com\/blog\/ai-citation-drift-how-stable-are-sources-in-ai-search-results\/\" target=\"_blank\" rel=\"noopener\">tracked<\/a> 82,619 prompts over 17 weeks and found Google AI Mode replaces 56% of its cited sources every week, while ChatGPT replaces 74%. At that drift, monthly tracking is like checking your bank account once a quarter.<\/li>\n<li><strong>Cross-platform aggregation<\/strong>: Blending your ChatGPT + Perplexity + Gemini visibility into one \u201cAI visibility score\u201d is like averaging your Google rank with your Bing rank.<\/li>\n<li><strong>Conversations<\/strong>: A single Turn 1 query tells you whether you get mentioned. It says nothing about whether you survive Turn 2 onward, when the user asks about alternatives, pricing, integrations, or risk. AI is a conversational interface, so the journey is the unit of measurement, and a one-shot prompt misses most of it.\u00a0<\/li>\n<li><strong>Context<\/strong>: Pure mention counting with no context treats every appearance as a win. Get named first for \u201cwhat are the worst CRMs to avoid?\u201d and a mention tracker still records a victory.\u00a0<\/li>\n<\/ul>\n<p>So, while we can\u2019t remove AI answer variance, we can run prompts multiple times and measure what parts, brand mentions, and citations of the AI answer remain.<\/p>\n<p>Mirroring follow-up prompts is hard because we don\u2019t know exactly what people will ask, but we can use AI to estimate likely follow-ups, enrich them with real conversation transcripts, and track the follow-ups LLMs suggest inside their own answers. We can also record the attributes a brand gets mentioned with, not only whether it shows up.<\/p>\n<h2 id=\"what-good-prompt-tracking-looks-like-in-practice\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_good_prompt_tracking_looks_like_in_practice\"><\/span>What good prompt tracking looks like in practice<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Worked example: B2B SaaS, CRM category.<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Prompt set: <\/strong>40 seed prompts, weighted toward problem prompts where purchase intent lives (12 brand, 12 category, 16 problem).<\/li>\n<li><strong>Platforms:<\/strong> ChatGPT, Perplexity, Gemini, Google AI Overviews. Tracked separately.<\/li>\n<li><strong>Run config: <\/strong>Five reps per prompt per platform, every week.<\/li>\n<li><strong>Personas:<\/strong> The 28 category and problem prompts are customized for three key personas (CFO, IT, marketing).<\/li>\n<li><strong>Metrics:<\/strong> Mention rate (\u00b1 CI), citation rate (\u00b1 CI), average position when mentioned (1-5), sentiment, and the attributes attached to each mention.<\/li>\n<\/ul>\n<p>Level it up by adding the journey layer. A flat list of 40 prompts only measures Turn 1. To measure conversations, build the high-intent prompts into journeys that follow the buyer across the five stages from <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.growth-memo.com\/p\/reasoning-lift-what-happens-to-ai\" target=\"_blank\" rel=\"noopener\">Reasoning Lift:<\/a> Problem, Exploration, Comparison, Validation, Selection.\u00a0<\/p>\n<p>Each seed prompt for Turn 1 becomes the \u201cseed prompt,\u201d and each stage adds a natural follow-up prompt on subsequent turns.<\/p>\n<p>For a buyer evaluating CRMs, one journey runs:<\/p>\n<ul class=\"wp-block-list\">\n<li>Problem: \u201cHow do I know if my sales team needs a CRM?\u201d<\/li>\n<li>Exploration: \u201cWhat types of CRM software exist for B2B SaaS?\u201d<\/li>\n<li>Comparison: \u201cHubSpot vs. Salesforce vs. Pipedrive for a 50-person sales team\u201d<\/li>\n<li>Validation: \u201cIs HubSpot worth the price for mid-market B2B?\u201d<\/li>\n<li>Selection: \u201cHow do I get started with HubSpot Sales Hub?\u201d<\/li>\n<\/ul>\n<p>Run the full sequence as one conversation rather than five isolated prompts, and score every turn. The payoff is persistence: in Reasoning Lift, a brand cited at the Problem stage carried all the way to Selection in four journeys under high reasoning and in zero under minimal. Persistence is the metric a one-shot tracker can never see.<\/p>\n<p>Scope it so the run volume stays sane. Track all 40 seed prompts at Turn 1 for breadth, and build the 16 problem prompts into full five-stage journeys for depth.<\/p>\n<p>Insight example: HubSpot is mentioned in 78% \u00b1 6pp of \ufb01problem prompts on ChatGPT vs. 34% \u00b1 9pp on Perplexity. Perplexity pulls from comparison posts (G2, Capterra); ChatGPT pulls from HubSpot\u2019s own blog plus integration and compliance docs.<\/p>\n<p>Action: invest in integration guides and API docs to win ChatGPT. Invest in G2 review velocity and comparison content to win Perplexity.<\/p>\n<h2 id=\"the-next-generation-of-tracking-looks-like-polling\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_next_generation_of_tracking_looks_like_polling\"><\/span>The next generation of tracking looks like polling<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Prompt tracking won\u2019t become keyword tracking. AI answers are too variable, too personalized, and too dependent on source selection. But that doesn\u2019t make them unmeasurable.<\/p>\n<p>The next iteration of prompt tracking will look less like rank tracking and more like polling: repeated runs, clear sampling rules, confidence intervals, segmented panels, and raw-answer audits.<\/p>\n<p><em>This post first appeared on the author\u2019s website and is republished here with permission.<\/em><\/p>\n<div class=\"ttd-topics-display\">\n<div class=\"ttd-topics-content\">\n<h5><span class=\"ez-toc-section\" id=\"Topics_on_this_page\"><\/span>Topics on this page<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<div class=\"ttd-topics-links\">Prompt engineeringChatGPTGoogleLarge language modelPerplexity AIAI OverviewsArtificial intelligenceBusiness-to-businessCapterraConversational user interfaceCustomer relationship managementGeminiGoogle SearchHubSpotLiz ReidMicrosoft BingOpenAISalesforceSearch engine optimizationSISTRIXSundar Pichai<\/div>\n<\/div>\n<div class=\"ttd-topics-show-extra-button\">+16 more<\/div>\n<\/div>\n<\/div>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" target=\"_blank\" >Technology<\/a><\/span> category.<\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/searchengineland.com\/make-prompt-tracking-more-accurate-479708\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI answers are variable, but measurable. Use repeated runs, confidence intervals, and journey tracking to separate signal from noise. By now, you understand that LLMs are probabilistic systems and that AI answers are highly variable. That fact has convinced a lot of people that prompt tracking is extra noise. But discounting prompt tracking as nonsense&#8230;<\/p>\n","protected":false},"author":1,"featured_media":732691,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/searchengineland.com\/wp-content\/seloads\/2026\/06\/How-to-make-prompt-tracking-much-more-accurate-featured-image.png","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-732690","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/732690","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=732690"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/732690\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/732691"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=732690"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=732690"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=732690"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}