{"id":1752,"date":"2026-08-29T05:02:12","date_gmt":"2026-08-29T05:02:12","guid":{"rendered":"https:\/\/listenlabs.com\/articles\/track-ai-brand-mentions\/"},"modified":"2026-08-29T05:02:12","modified_gmt":"2026-08-29T05:02:12","slug":"track-ai-brand-mentions","status":"publish","type":"post","link":"https:\/\/listenlabs.com\/articles\/track-ai-brand-mentions\/","title":{"rendered":"How to Track AI Visibility Without Paying for Tools"},"content":{"rendered":"<p><em>Written by: Anish Rao, Head of Growth, Listen Labs<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>AI chatbots now reach nearly half of US adults, yet 53% of brands remain invisible across major AI platforms, so proactive brand mention tracking is essential.<\/li>\n<li>A repeatable four-step monitoring loop of building prompts, running queries, logging results, and analyzing gaps lets teams track AI visibility weekly without paid tools.<\/li>\n<li>Free tools like HubSpot AEO Grader, Trakkr, SEORCE, Authoritas, and Mangools AI Search Grader combined with a simple spreadsheet tracker deliver about 80% of paid-tool value at zero cost for teams running up to 20 prompts per week.<\/li>\n<li>Organizing prompts into direct brand, category-level, and comparison queries, then logging mention rate, sentiment, accuracy, and competitor gaps, surfaces narrative issues before they affect buyer perception.<\/li>\n<li>Listen Labs turns the visibility data your spreadsheet uncovers into qualitative buyer interviews that explain why your brand narrative is drifting, and you can <a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">see the full workflow in action<\/a>.<\/li>\n<\/ul>\n<h2>The Four-Step Monitoring Loop You Can Run This Week<\/h2>\n<p>This monitoring loop gives you a simple, repeatable way to track AI brand mentions. The core workflow follows four connected steps:<\/p>\n<ol>\n<li><strong>Build your prompt set.<\/strong> Organize queries into category-level questions, direct brand queries, and comparison queries. Start with 50 prompts (see the starter set below) so you capture both branded and non-branded demand.<\/li>\n<li><strong>Run prompts across platforms.<\/strong> Once you have your prompts, test each one in ChatGPT, Gemini, Perplexity, and Claude. Record the full response, not just a yes or no mention flag, because the full text reveals sentiment and accuracy issues that a binary flag hides.<\/li>\n<li><strong>Log results in your tracker spreadsheet.<\/strong> As you collect responses, capture mention status, position, sentiment direction, attribute tags, and the source the AI cites. These fields let you compare how each platform talks about your brand and where competitors appear.<\/li>\n<li><strong>Analyze gaps and act.<\/strong> Finally, identify prompts where competitors appear and your brand does not, flag factual errors, and prioritize corrections by severity and by how often each issue appears.<\/li>\n<\/ol>\n<p>Run this loop weekly for Tier 1 prompts, which cover direct brand and flagship product queries, and monthly for Tier 2 and Tier 3 category terms. <a href=\"https:\/\/trysight.ai\/blog\/how-to-track-ai-brand-visibility\" target=\"_blank\" rel=\"noindex nofollow\">A practical keyword framework organizes terms into three tiers: Tier 1 tracked weekly, Tier 2 biweekly, and Tier 3 monthly.<\/a> Run each Tier 1 prompt three to five times to account for non-deterministic model outputs, since AI platforms can return different answers to the same query.<\/p>\n<h2>How to Track AI Visibility Without Paying for Tools<\/h2>\n<p>Free AI visibility tracking works well for teams running up to 20 prompts per week. <a href=\"https:\/\/vismore.ai\/blog\/track-brand-mentions-ai-search\" target=\"_blank\" rel=\"noindex nofollow\">Manual prompt auditing across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews costs only time<\/a>, so DIY baseline tracking remains a zero-software-cost option at that volume.<\/p>\n<p>Several free tools supplement manual checks and reduce the logging burden:<\/p>\n<ul>\n<li><strong>HubSpot AEO Grader<\/strong>, a one-time, no-signup brand check across ChatGPT, Perplexity, and Gemini.<\/li>\n<li><strong>Trakkr (free plan)<\/strong>, which supports one brand, five prompts, six AI models, and 30 days of history.<\/li>\n<li><strong>SEORCE (free plan)<\/strong>, which runs 25 prompts per week across seven platforms, without competitor tracking.<\/li>\n<li><strong>Authoritas (free plan)<\/strong>, which offers 50 AI credits per month across seven platforms.<\/li>\n<li><strong>Mangools AI Search Grader<\/strong>, a free page-level audit tool.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sunilpratapsingh.com\/guides\/geo\/ai-visibility-tools-compared\" target=\"_blank\" rel=\"noindex nofollow\">Free tools combined with manual prompt tracking provide roughly 80% of the value of a $99-per-month paid tool at zero cost<\/a> for practitioners building internal brand mention monitoring processes. Start with free page-level audits plus weekly manual checks of 20\u201330 business-relevant prompts, then consider paid AI visibility tools only when volume or automation needs increase.<\/p>\n<p>Different platforms require separate tracking because <a href=\"https:\/\/cornelldesigngroup.com\/brand-visibility-generative-ai\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT pulls from training data and web browsing, Perplexity emphasizes real-time web sources, and Google Gemini integrates with Google\u2019s search index.<\/a> A single platform check cannot replace cross-platform monitoring when each system relies on different data and update cycles.<\/p>\n<h2>Build Your Free AI Visibility Tracker Spreadsheet<\/h2>\n<p>A simple spreadsheet keeps your AI visibility data consistent and comparable across platforms. Create one tab per platform, such as ChatGPT, Gemini, Perplexity, and Claude, plus one summary tab.<\/p>\n<p>Use the following column headers in each platform tab:<\/p>\n<ol>\n<li><strong>Prompt ID<\/strong>, a unique identifier such as P001.<\/li>\n<li><strong>Prompt Text<\/strong>, the exact query as entered.<\/li>\n<li><strong>Tier<\/strong>, 1, 2, or 3.<\/li>\n<li><strong>Category<\/strong>, Direct Brand, Comparison, or Category-Level.<\/li>\n<li><strong>Date Run<\/strong>, formatted as YYYY-MM-DD.<\/li>\n<li><strong>Brand Mentioned?<\/strong>, Yes or No.<\/li>\n<li><strong>Mention Position<\/strong>, First, Second, Third, or Not Mentioned.<\/li>\n<li><strong>Sentiment Direction<\/strong>, Positive, Mixed-Positive, Neutral, Mixed-Negative, or Negative.<\/li>\n<li><strong>Factual Accuracy<\/strong>, Accurate, Outdated, Incorrect, or Hallucinated.<\/li>\n<li><strong>Attribute Tags<\/strong>, comma-separated descriptors the AI used, such as \u201caffordable, easy to use.\u201d<\/li>\n<li><strong>Competitors Named<\/strong>, a list of all competitors appearing in the same answer.<\/li>\n<li><strong>Source Cited<\/strong>, the URL or domain the AI attributed, if visible.<\/li>\n<li><strong>Notes<\/strong>, a verbatim quote of the brand description.<\/li>\n<\/ol>\n<p>In the summary tab, add these formulas, assuming platform data starts in Sheet1:<\/p>\n<ul>\n<li><strong>Mention Rate %:<\/strong> <code>=COUNTIF(Sheet1!F:F,\"Yes\")\/COUNTA(Sheet1!F2:F1000)<\/code><\/li>\n<li><strong>Positive Sentiment Rate %:<\/strong> <code>=COUNTIF(Sheet1!H:H,\"Positive\")\/COUNTA(Sheet1!H2:H1000)<\/code><\/li>\n<li><strong>Accuracy Rate %:<\/strong> <code>=COUNTIF(Sheet1!I:I,\"Accurate\")\/COUNTA(Sheet1!I2:I1000)<\/code><\/li>\n<li><strong>Prompt Gap Count:<\/strong> <code>=COUNTIFS(Sheet1!F:F,\"No\",Sheet1!K:K,\"\")<\/code> for prompts where competitors appear but your brand does not<\/li>\n<\/ul>\n<p>Log each Tier 1 prompt run as a separate row in your tracker, following the three to five run guideline established earlier. <a href=\"https:\/\/trysight.ai\/blog\/how-to-measure-ai-brand-sentiment\" target=\"_blank\" rel=\"noindex nofollow\">Multiple runs capture non-deterministic model outputs and support more reliable sentiment classification.<\/a><\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\"><strong>See how Listen Labs automates this workflow<\/strong><\/a> so you can run the same analysis at scale without manual logging.<\/p>\n<h2>50-Prompt Starter Set Built From Real Buyer Language<\/h2>\n<p>This 50-prompt starter set gives you a ready-made baseline for your first audit. Organize your prompt set into three categories, then run all 50 prompts in your first baseline week and rotate based on tier priority.<\/p>\n<p><strong>Direct Brand Queries (10 prompts)<\/strong><\/p>\n<ol>\n<li>What is [Brand]?<\/li>\n<li>What does [Brand] do?<\/li>\n<li>Who is [Brand] best for?<\/li>\n<li>What are [Brand]\u2019s main features?<\/li>\n<li>How much does [Brand] cost?<\/li>\n<li>Is [Brand] reliable?<\/li>\n<li>What are the pros and cons of [Brand]?<\/li>\n<li>Has [Brand] had any recent news or changes?<\/li>\n<li>What do customers say about [Brand]?<\/li>\n<li>Is [Brand] a good company to work with?<\/li>\n<\/ol>\n<p><strong>Category-Level Queries (20 prompts)<\/strong><\/p>\n<ol start=\"11\">\n<li>Best [category] tools in 2026<\/li>\n<li>Top [category] platforms for [industry]<\/li>\n<li>How do I solve [core problem your product addresses]?<\/li>\n<li>What should I look for in a [category] solution?<\/li>\n<li>Which [category] tools do enterprises use?<\/li>\n<li>Recommended [category] software for [buyer type]<\/li>\n<li>What is the best [category] tool for [use case]?<\/li>\n<li>How do I choose a [category] vendor?<\/li>\n<li>What are the leading [category] companies?<\/li>\n<li>What [category] tools integrate with [common platform]?<\/li>\n<li>Free [category] tools worth using<\/li>\n<li>[Category] tools with the best reviews<\/li>\n<li>What [category] platforms are analysts recommending?<\/li>\n<li>Which [category] tools are growing fastest?<\/li>\n<li>What do [buyer persona] use for [category]?<\/li>\n<li>How is [category] changing in 2026?<\/li>\n<li>What problems does [category] software solve?<\/li>\n<li>Is [category] software worth the investment?<\/li>\n<li>What are the hidden costs of [category] tools?<\/li>\n<li>What [category] tools do [industry] companies trust?<\/li>\n<\/ol>\n<p><strong>Comparison Queries (20 prompts)<\/strong><\/p>\n<ol start=\"31\">\n<li>[Brand] vs. [Competitor A], which is better?<\/li>\n<li>[Brand] vs. [Competitor B] for [use case]<\/li>\n<li>Alternatives to [Brand]<\/li>\n<li>Is [Brand] better than [Competitor A]?<\/li>\n<li>Why would someone choose [Brand] over [Competitor A]?<\/li>\n<li>What are the main differences between [Brand] and [Competitor B]?<\/li>\n<li>[Brand] or [Competitor A] for [specific buyer type]?<\/li>\n<li>Which is cheaper, [Brand] or [Competitor B]?<\/li>\n<li>Does [Brand] integrate with [common tool]?<\/li>\n<li>[Brand] vs. [Competitor A] for enterprise use<\/li>\n<li>[Brand] vs. [Competitor B] for small teams<\/li>\n<li>Is [Brand] worth it compared to [Competitor A]?<\/li>\n<li>What do reviewers say about [Brand] vs. [Competitor A]?<\/li>\n<li>Which has better customer support, [Brand] or [Competitor B]?<\/li>\n<li>Is [Brand] easier to use than [Competitor A]?<\/li>\n<li>[Brand] vs. [Competitor A] security comparison<\/li>\n<li>[Brand] vs. [Competitor B], which scales better?<\/li>\n<li>Does [Brand] offer a free trial compared to [Competitor A]?<\/li>\n<li>Which is faster to implement, [Brand] or [Competitor B]?<\/li>\n<li>What are users switching from [Competitor A] to [Brand] for?<\/li>\n<\/ol>\n<h2>Weekly Cadence Checklist and Success Metrics<\/h2>\n<p>This weekly and monthly cadence keeps your AI visibility data fresh and comparable over time.<\/p>\n<p><strong>Weekly checklist for Tier 1 prompts:<\/strong><\/p>\n<ul>\n<li>Run all Tier 1 prompts three to five times each across ChatGPT, Gemini, Perplexity, and Claude.<\/li>\n<li>Log each run as a separate row in the tracker spreadsheet so you can see variation across executions.<\/li>\n<li>Flag any new factual errors or hallucinations immediately for follow-up.<\/li>\n<li>Note any new competitors appearing in answers where they did not appear the prior week.<\/li>\n<li>Update the summary tab formulas and screenshot the current state to preserve a visual record.<\/li>\n<\/ul>\n<p><strong>Monthly checklist for Tier 2 and Tier 3 prompts:<\/strong><\/p>\n<ul>\n<li>Run all Tier 2 and Tier 3 prompts and log results across all platforms.<\/li>\n<li>Review attribute tags for narrative drift and check whether the descriptors AI uses are changing over time.<\/li>\n<li>Calculate month-over-month changes in mention rate, sentiment accuracy, and prompt gap count.<\/li>\n<li>Identify the top three prompt gaps to address with content or PR updates.<\/li>\n<li>Archive the month\u2019s raw data in a dated tab before starting the next cycle.<\/li>\n<\/ul>\n<p><strong>Metrics to track beyond share of voice:<\/strong><\/p>\n<ul>\n<li><strong>Sentiment accuracy<\/strong>, which combines positive or neutral tone with factual correctness. <a href=\"https:\/\/maxaeo.ai\/blog\/ai-generated-brand-mention-checker\" target=\"_blank\" rel=\"noindex nofollow\">Sentiment accuracy measures positive, neutral, or negative tone combined with factual correctness of a brand mention to assess reputation and trust risk in AI outputs.<\/a><\/li>\n<li><strong>Narrative drift<\/strong>, which tracks whether the descriptors AI uses to describe your brand are shifting across platforms or over time. <a href=\"https:\/\/dageno.ai\/blog\/brand-sentiment-in-ai\" target=\"_blank\" rel=\"noindex nofollow\">Narrative stability measures whether the same sentiment appears consistently across repeated executions, related prompts, different AI platforms, geographic markets, and reporting periods.<\/a><\/li>\n<li><strong>Source attribution<\/strong>, which shows which domains AI cites when mentioning your brand. <a href=\"https:\/\/ranqo.ai\/blog\/where-ai-citations-come-from\" target=\"_blank\" rel=\"noindex nofollow\">Only 2.9\u20135% of AI citations point to a specific brand\u2019s own website<\/a>.<\/li>\n<li><strong>Prompt gap count<\/strong>, which highlights prompts where competitors appear and your brand does not. <a href=\"https:\/\/maxaeo.ai\/blog\/ai-generated-brand-mention-checker\" target=\"_blank\" rel=\"noindex nofollow\">Prompt gap count identifies valuable prompts where competitors appear and the brand does not, revealing content and PR opportunities.<\/a><\/li>\n<li><strong>Factual accuracy rate<\/strong>, which measures the percentage of mentions that contain no errors. <a href=\"https:\/\/optimizegeo.ai\/blog\/fix-ai-brand-misinformation\" target=\"_blank\" rel=\"noindex nofollow\">AI brand misinformation falls into five categories: factual errors, stale information, conflation with competitors, negative framing, and hallucinations.<\/a><\/li>\n<\/ul>\n<p><a href=\"https:\/\/searchengineland.com\/ai-search-adoption-rises-consumer-trust-declines-study-480338\" target=\"_blank\" rel=\"noindex nofollow\">27% of brands have already been misrepresented in AI-generated responses, while only 24% of marketers track LLM visibility.<\/a> Running this cadence puts your team in the minority that actually knows what AI is saying about your brand.<\/p>\n<h2>Turn Visibility Data Into Perception Fixes With Listen Labs<\/h2>\n<p>Your spreadsheet tells you what AI is saying about your brand, but it does not show how real buyers interpret those narratives. It also does not reveal which inaccuracies influence purchase decisions or what your brand should say instead.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/listenlabs.ai\/\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1773098461736-796a7724447a.png\" alt=\"Screenshot of researcher creating a study by simply typing &quot;I want to interview Gen Z on how they use ChatGPT&quot;\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Our AI helps you go from idea to implemented discussion guide in seconds.<\/em><\/figcaption><\/figure>\n<p>Your spreadsheet can show that AI describes your brand as \u201cexpensive\u201d across five platforms, but it cannot tell you whether buyers read that as \u201cpremium quality\u201d or \u201coverpriced,\u201d or whether that perception is stopping deals. That gap is where Listen Labs connects directly to the monitoring workflow. When your tracker flags a narrative problem, such as a competitor consistently displacing you in category queries, an attribute tag like \u201cexpensive\u201d appearing across platforms, or a factual error that keeps returning after correction, the next step is understanding the consumer impact of that narrative, not just the AI output.<\/p>\n<p>Listen Labs is an end-to-end AI research platform that sources participants from a 50M+ verified respondent network and conducts, analyzes, and summarizes thousands of in-depth customer interviews in hours. When your spreadsheet reveals that AI describes your brand as \u201cbest for large enterprises\u201d but your target buyer is a mid-market team, Listen Labs can run qualitative interviews with that exact segment overnight to surface how the misframing affects consideration and what messaging would correct it.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/listenlabs.ai\/\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1773098685817-eaceb6089d9a.png\" alt=\"Listen Labs finds participants and helps build screener questions\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Listen Labs finds participants and helps build screener questions<\/em><\/figcaption><\/figure>\n<p>The research cycle that used to take four to six weeks compresses to less than 24 hours. Enterprises including Microsoft, Procter &amp; Gamble, and Skims use Listen Labs to move from a data signal to a qualitative explanation without waiting weeks for traditional research to complete.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/listenlabs.ai\/\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1773098910279-d16bc544a32e.png\" alt=\"Listen Labs auto-generates research reports in under a minute\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Listen Labs auto-generates research reports in under a minute<\/em><\/figcaption><\/figure>\n<p>Listen Pulse, the conversational tracker from Listen Labs, adds an always-on layer that runs the same study wave after wave. It combines quantitative KPI tracking with open-ended conversation so every metric movement arrives with the explanation behind it. When your AI visibility spreadsheet shows narrative drift, Pulse shows you whether that drift is registering in how real customers describe your brand before it appears as a decline in tracked metrics.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/listenlabs.ai\/\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1773099063654-7132de546a42.png\" alt=\"Listen Labs&apos; Research Agent quickly generates consultant-quality PowerPoint slide decks\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Listen Labs&#039; Research Agent quickly generates consultant-quality PowerPoint slide decks<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\"><strong>Book a demo to see the full Listen Labs workflow in action<\/strong><\/a> and understand how visibility data turns into concrete perception fixes.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<p><strong>How many prompts do I need to track AI brand mentions effectively?<\/strong><\/p>\n<p>Start with 20\u201330 prompts for a baseline measurement, organized across direct brand, comparison, and category-level queries. The 50-prompt starter set in this guide covers a full initial audit. Over time, prioritize the 10\u201315 prompts that most closely match the language buyers use when they are close to a purchase decision. Running a smaller, focused set consistently creates more useful trend data than running a large set inconsistently.<\/p>\n<p><strong>How often should I run my AI visibility checks?<\/strong><\/p>\n<p>Run Tier 1 prompts, which include direct brand and flagship product queries, weekly. Run Tier 2 and Tier 3 category prompts monthly. Increase to weekly across all tiers for the first two months after a rebrand, product launch, or major content update, since those periods are when AI outputs most often reflect stale or conflicting information.<\/p>\n<p><strong>Is my data private when I query AI platforms manually?<\/strong><\/p>\n<p>When you enter prompts manually into ChatGPT, Gemini, Perplexity, or Claude, those inputs fall under each platform\u2019s data and privacy policies. For competitive or sensitive brand queries, review each platform\u2019s terms before entering proprietary information. Using a dedicated workspace account with appropriate privacy settings reduces exposure. The spreadsheet you maintain locally contains no data shared with any platform.<\/p>\n<p><strong>When should I move from a free manual system to a paid AI visibility tool?<\/strong><\/p>\n<p>The manual spreadsheet system works well up to about 20 prompts per week across four platforms. Beyond that volume, the time cost of manual logging exceeds the cost of entry-level paid tools, which start around $29 per month. Move to a paid tool when you need automated scheduling, historical trend charts, or competitor tracking across more than five rivals. Move to Listen Labs when the data reveals a narrative problem that requires qualitative research to diagnose and fix, not just a content update.<\/p>\n<p><strong>What should I do when I find a factual error in an AI response about my brand?<\/strong><\/p>\n<p>Start by documenting the exact prompt, platform, full response, and timestamp so you can track changes over time. Next, identify the likely source of the error by searching for the claim online and checking visible citations on Perplexity and Google AI Overviews. Focus corrective actions on updating canonical content on your own domain, such as About, Product, FAQ, and Leadership pages, because AI systems often rely on those pages as reference points. After publishing updates, re-run the same prompts weekly to monitor progress. Expect corrections to appear in Perplexity within one to three weeks and in ChatGPT base models within six to twelve weeks. Use Listen Labs to assess whether the error has already shaped buyer perception and whether additional messaging or campaigns are needed while AI outputs catch up.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\"><strong>Get a personalized walkthrough<\/strong><\/a> showing how Listen Labs connects AI visibility monitoring to qualitative research that explains what buyers actually believe about your brand.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Monitor your brand&#8217;s AI visibility for free with prompts, spreadsheets &amp; weekly checklists. Listen Labs turns that data into real perception fixes.<\/p>\n","protected":false},"author":52,"featured_media":1751,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1752","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts\/1752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/comments?post=1752"}],"version-history":[{"count":0,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts\/1752\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media\/1751"}],"wp:attachment":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media?parent=1752"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/categories?post=1752"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/tags?post=1752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}