{"id":2095,"date":"2026-09-18T05:03:00","date_gmt":"2026-09-18T05:03:00","guid":{"rendered":"https:\/\/listenlabs.com\/articles\/best-ai-platforms-brand-insights\/"},"modified":"2026-09-18T05:03:00","modified_gmt":"2026-09-18T05:03:00","slug":"best-ai-platforms-brand-insights","status":"publish","type":"post","link":"https:\/\/listenlabs.com\/articles\/best-ai-platforms-brand-insights\/","title":{"rendered":"The Best AI Platforms for Brand Insights in 2026"},"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 brand insights tools fall into four distinct categories: social listening, brand tracking, AI-search visibility, and conversational research. Each category answers a different question.<\/li>\n<li>Most tools report the \u201cwhat\u201d such as mentions, KPI shifts, or LLM citations. They do not explain why perception formed or what would change buyer behavior.<\/li>\n<li>Conversational AI research platforms like Listen Labs run adaptive, AI-moderated interviews at scale to uncover emotional drivers and decision-making behind brand perception.<\/li>\n<li>Listen Labs combines verified global recruitment, Emotional Intelligence, Visual Insights, and automated analysis to deliver traceable findings in under 24 hours.<\/li>\n<li>Listen Labs is the only end-to-end platform that explains why metrics move, making it the strongest fit for teams that need qualitative depth at quantitative scale.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" class=\"solid-button\" target=\"_blank\" rel=\"noindex nofollow\">Book a demo with Listen Labs<\/a><\/p>\n<h2>Why Most AI Brand Insights Tools Stop At The \u2018What\u2019<\/h2>\n<p>The four categories of AI brand insights tools use different methods and answer different questions. Treating them as interchangeable leads to wasted budget and blind spots.<\/p>\n<p><strong>Social Listening Tools<\/strong> monitor public conversation across social platforms, forums, news sites, and review channels. They answer: <em>What are people saying publicly, and how much of it is positive or negative?<\/em> They cannot probe a follow-up question, reach the silent majority of buyers who never post, or access the <a href=\"https:\/\/askattest.com\/blog\/articles\/social-listening-is-a-terrible-way-to-measure-your-brand\" target=\"_blank\" rel=\"noindex nofollow\">roughly 84% of sharing activity that now occurs in dark social channels<\/a> such as WhatsApp, Snapchat, and email.<\/p>\n<p><strong>Brand Tracking Tools<\/strong> measure awareness, consideration, preference, and associations through periodic surveys of representative samples. They answer: <em>Did a KPI move?<\/em> The structural limitation is that surveys cannot branch dynamically based on what a respondent just revealed. A tracker can confirm that consideration dropped two points but carry no diagnostic for why. By the time a KPI declines enough to exceed the margin of error, the underlying shift has been building for months.<\/p>\n<p><strong>AI-Search Visibility Tools<\/strong> track how a brand appears inside large language model (LLM) responses across ChatGPT, Gemini, Perplexity, and Claude. They answer: <em>Is our brand being cited, and how is it framed?<\/em> <a href=\"https:\/\/strategyand.pwc.com\/lu\/en\/insights\/measuring-brand-visibility-llm-results.html\" target=\"_blank\" rel=\"noindex nofollow\">PwC Strategy&amp; reports that 94% of B2B buyers now use LLMs during the buying process<\/a>, and that only three to four brands are typically cited in any AI-generated answer. That pattern makes AI-search visibility a first-class brand signal. These tools still cannot explain why buyers respond the way they do to what they find.<\/p>\n<p><strong>Conversational AI Research<\/strong> runs AI-moderated qualitative interviews at scale with verified participants. It answers: <em>Why do people feel and act the way they do?<\/em> <a href=\"https:\/\/listenlabs.ai\/blog\/what-is-qual-at-scale\" target=\"_blank\">Traditional surveys may tell you what people do. Understanding why takes a conversation. That difference is what separates adequate customer research from outstanding customer research.<\/a> These categories work together but do not replace one another. A team that uses social listening instead of brand tracking measures a different signal. A team that relies on brand tracking instead of conversational research reacts to lagging indicators with no explanation attached.<\/p>\n<h2>Best AI Platforms For Conversational Research<\/h2>\n<p>Conversational research is the newest category, and Listen Labs is the platform that defines it for enterprise teams.<\/p>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/iainmartin\/2026\/01\/14\/this-500-million-ai-startup-runs-customer-interviews-for-microsoft-and-sweetgreen\/\" target=\"_blank\">Listen Labs has conducted over 1 million AI-powered customer interviews for companies including Microsoft, Perplexity, and Sweetgreen<\/a>, and <a href=\"https:\/\/www.forbes.com\/sites\/iainmartin\/2026\/01\/14\/this-500-million-ai-startup-runs-customer-interviews-for-microsoft-and-sweetgreen\/\" target=\"_blank\">raised a $69 million Series B led by Ribbit Capital at a valuation above $500 million in January 2026<\/a>. It is an end-to-end platform that recruits verified participants, runs AI-moderated qualitative interviews at scale, captures emotion and on-screen behavior, and delivers traceable answers in under 24 hours. Its architecture covers the entire research lifecycle: study design, global recruitment, moderation, analysis, and deliverables in a single system.<\/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><a href=\"https:\/\/listenlabs.ai\/blog\/ai-interviews-beat-focus-groups\" target=\"_blank\">Listen Labs layers auto-recruiting, transcription, sentiment tagging, and insight summarization so teams jump from question to findings in hours, not weeks.<\/a> As <a href=\"https:\/\/www.forbes.com\/sites\/iainmartin\/2026\/01\/14\/this-500-million-ai-startup-runs-customer-interviews-for-microsoft-and-sweetgreen\/\" target=\"_blank\">Listen Labs CEO Alfred Wahlforss has stated<\/a>, companies now use the platform for major decisions because hundreds of one-on-one interviews can run in parallel.<\/p>\n<p><strong>Listen Pulse<\/strong> is the conversational tracker that runs the same study wave after wave. It keeps core questions constant to protect the trend line and adds open-ended conversation to every wave. It charts emerging themes directly alongside the KPIs teams already report. One well-known clothing brand, famous for its big logos, was quietly losing customers. Its old tracker caught the drop but could not explain it. Pulse surfaced that style, not price, was the issue. A growing group of customers felt the big logos were too loud for their changing lifestyles. Pulse integrates with Qualtrics and Decipher, so teams keep the metrics they already report while adding the narrative behind them.<\/p>\n<p><strong>Emotional Intelligence<\/strong> is <a href=\"https:\/\/listenlabs.ai\/blog\/emotional-intelligence\" target=\"_blank\">built on Ekman\u2019s universal emotions framework<\/a> and <a href=\"https:\/\/listenlabs.ai\/blog\/emotional-intelligence\" target=\"_blank\">analyzes three signals: tone of voice, word choice, and subconscious micro expressions<\/a>. These signals surface emotions that transcripts alone miss. <a href=\"https:\/\/listenlabs.ai\/blog\/emotional-intelligence\" target=\"_blank\">Every emotion is quantified per question and concept.<\/a> Each label traces back to the exact timestamp, verbatim quote, and AI reasoning behind it. The capability is <a href=\"https:\/\/listenlabs.ai\/blog\/emotional-intelligence\" target=\"_blank\">available across 50+ languages<\/a> and connects directly to the Research Agent.<\/p>\n<p><strong>Research Agent<\/strong> <a href=\"https:\/\/listenlabs.ai\/blog\/research-agent\" target=\"_blank\">generates key findings, themes, personas, slide decks, memos, highlight reels, and charts in under a minute<\/a>. <a href=\"https:\/\/listenlabs.ai\/blog\/research-agent\" target=\"_blank\">Every insight links directly to the underlying response data<\/a>, so leadership can trace any claim back to the participant who made it. That traceability extends beyond a single study. The <strong>Research Library<\/strong> stores each project with its full source trail, so teams can query every study they have ever run in natural language. The Research Library keeps attribution intact back to the original discussion guide, screener, and respondent, so insights compound instead of expiring with each project.<\/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><strong>Listen Atlas<\/strong> is the 50M+ verified respondent network across 45+ countries and 120+ languages. Quality Guard monitors every interview in real time for fraud, low-effort responses, and repeat respondents. Participants are limited to three studies per month, which prevents professional survey-taker behavior.<\/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>These capabilities show up in measurable outcomes across very different organizations. Microsoft cut research wait time from 6\u20138 weeks to hours. Anthropic now runs 100 studies in the time it previously took to run five or six. Sweetgreen scaled research across 300+ locations at one-third the cost.<\/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\" class=\"solid-button\" target=\"_blank\" rel=\"noindex nofollow\">See Listen Labs In Action<\/a><\/p>\n<p>Conversational research answers the \u201cwhy\u201d behind perception. Monitoring tools still matter for tracking what is happening in public and AI-generated conversations. The next sections cover those monitoring categories and where each one stops.<\/p>\n<h2>Best AI Platforms For Social Listening And Media Monitoring<\/h2>\n<p>Brandwatch, Talkwalker, and Meltwater lead this category. Each monitors public conversation, tracks sentiment at scale, and surfaces media coverage across social networks, news sites, forums, and review platforms.<\/p>\n<p><strong>Best For:<\/strong> Real-time crisis detection and share-of-voice tracking.<\/p>\n<p>These tools excel at flagging volume spikes, tracking competitor mentions, and alerting teams to emerging narratives. <a href=\"https:\/\/konnectinsights.com\/blogs\/10-best-social-listening-tools-in-2026-for-enterprise-brands\" target=\"_blank\" rel=\"noindex nofollow\">Brandwatch is a listening and intelligence platform rather than a CX platform<\/a>, and <a href=\"https:\/\/konnectinsights.com\/blogs\/10-best-social-listening-tools-in-2026-for-enterprise-brands\" target=\"_blank\" rel=\"noindex nofollow\">Talkwalker uses its Blue Silk AI to detect brand logos and products in image and video content across more than 150 million sources<\/a>.<\/p>\n<p>Where they stop appears in the metrics they report. <a href=\"https:\/\/pulsarplatform.com\/guides\/audience-intelligence-vs-social-listening\" target=\"_blank\" rel=\"noindex nofollow\">Social listening platforms aggregate public mentions and report the \u201cwhat\u201d and \u201chow many\u201d such as volume, sentiment, and share of voice.<\/a> They cannot reveal why different communities hold the views they do or probe a follow-up question. They also cannot reach the majority of buyers who never post publicly. These tools complement conversational research rather than replace it.<\/p>\n<h2>Best AI Platforms For Brand Tracking And Surveys<\/h2>\n<p>Qualtrics, Kantar, and YouGov are the established names in survey-based brand tracking. They measure awareness, consideration, preference, and associations through periodic waves of structured surveys sent to representative samples.<\/p>\n<p>The core limitation is structural rather than an execution problem. Brand-tracking surveys are structurally incapable of explaining why a metric moved because the required follow-up question depends on each prior answer, and surveys are pre-scripted and cannot branch dynamically. A tracker can confirm that consideration dropped, but it cannot tell you what associations shifted, what competitor action triggered the change, or what specific experience tipped the scale. By the time a KPI declines enough to surface clearly, the underlying shift has been building for months.<\/p>\n<p>Teams do not need to replace their existing tracker to solve this problem. Listen Pulse deploys alongside an existing tracker or as the primary tracking system, and integrates with Qualtrics and Decipher so teams keep the KPIs they already report while adding the explanation behind every metric movement.<\/p>\n<p>Tracking surveys capture what buyers say when asked. A newer category captures where buyers now form impressions before they are ever asked: inside AI-generated answers.<\/p>\n<h2>Best AI Tools For Monitoring Brand Mentions In AI Search<\/h2>\n<p>AI-search visibility is a first-class brand insights signal in 2026. Similarweb, Profound, and AIclicks are tools in this emerging category, each tracking how a brand appears inside LLM-generated answers across ChatGPT, Gemini, Perplexity, and Claude.<\/p>\n<p>The scale of the shift is significant. A Listen Labs and Profound study of 100 CMOs found that 90% use large language models daily, and 22% now begin vendor research inside an LLM versus 16% using traditional search. <a href=\"https:\/\/semrush.com\/news\/463141-semrush-releases-expanded-2026-ai-visibility-index-analyzing-126-million-ai-search-prompts\" target=\"_blank\" rel=\"noindex nofollow\">Semrush\u2019s 2026 AI Visibility Index, analyzing 126 million U.S. AI search prompts, found that 45% of marketing leaders cannot accurately measure their brand visibility within AI-generated answers, and only 9% have the tools to track all relevant metrics across AI platforms.<\/a><\/p>\n<p>This category tells you how your brand appears inside AI answers and whether the framing is favorable. It does not tell you why buyers respond the way they do to what they find, which product attributes drive consideration, or what emotional associations shape the perception that LLMs reflect. Conversational research fills that gap.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" class=\"solid-button\" target=\"_blank\" rel=\"noindex nofollow\">See How Listen Labs Closes The Gap<\/a><\/p>\n<h2>Which AI Platform Is Best For Branding?<\/h2>\n<p>The answer depends on whether the primary need is monitoring brand perception or explaining it. Monitoring tools such as social listening platforms, brand trackers, and AI-search visibility tools tell you that perception exists, that a metric moved, or that a brand is being cited. Conversational AI research platforms go further. They tell you why perception formed, what emotional drivers are shaping it, and what would change it. The list below maps each need to the platform category that serves it best.<\/p>\n<ul>\n<li><strong>For Understanding Brand Perception And The Emotional Drivers Behind It:<\/strong> Listen Labs. It recruits verified participants, conducts AI-moderated interviews at scale, captures emotion through Emotional Intelligence, and delivers traceable findings in under 24 hours.<\/li>\n<li><strong>For Real-Time Crisis Detection And Share-Of-Voice Monitoring:<\/strong> Brandwatch, Talkwalker, or Meltwater.<\/li>\n<li><strong>For Longitudinal KPI Benchmarking:<\/strong> Kantar, YouGov, or Qualtrics, ideally paired with Listen Pulse for the diagnostic layer.<\/li>\n<li><strong>For AI-Search Citation Tracking:<\/strong> Profound, Similarweb, or AIclicks.<\/li>\n<\/ul>\n<h2>Which AI Is Best For Consumer Insights?<\/h2>\n<p>Survey-based tools scale but cannot follow up. A Likert scale can tell you that 62% of respondents rate a brand favorably, but it cannot tell you what \u201cfavorable\u201d means to each of them, what would change their mind, or what emotion accompanied the rating. That gap is exactly what conversational AI research closes. It delivers both scale and depth by conducting hundreds of adaptive, AI-moderated interviews simultaneously, each one probing dynamically based on what the participant just said.<\/p>\n<p><a href=\"https:\/\/listenlabs.ai\/blog\/research-agent\" target=\"_blank\">With AI-moderated interviews, talking to users at scale is no longer the hard part. The challenge is understanding what they mean.<\/a> Listen Labs solves both sides of that problem. Its AI moderator generates responses three times longer than average through intelligent probing, and its Research Agent converts those responses into consultant-quality deliverables in under a minute. For consumer insights teams that need qualitative depth at quantitative scale, Listen Labs is the strongest fit in the market.<\/p>\n<h2>How To Choose: A Decision Framework<\/h2>\n<p>The right starting point is the type of data the team actually needs: say data (what people report), feel data (what emotions accompany those reports), or do data (what people actually do on screen versus what they say).<\/p>\n<p><strong>Enterprise insights teams<\/strong> should prioritize platforms with verified respondent networks, real-time fraud prevention, emotional intelligence capabilities, and integration with existing tracking infrastructure. Listen Labs\u2019 Quality Guard, Listen Atlas, and Pulse integrations with Qualtrics and Decipher are purpose-built for this profile.<\/p>\n<p><strong>UX research leads<\/strong> should prioritize platforms with screen-sharing, usability testing, and visual behavior capture. Listen Labs\u2019 Visual Insights feature observes on-screen behavior in real time, detects contradictions between stated preference and observed action, and probes those contradictions mid-interview.<\/p>\n<p><strong>Product and marketing leaders without a dedicated research team<\/strong> should prioritize self-serve simplicity and automated deliverables. Listen Labs allows teams to describe research goals in natural language and have the platform handle study design, recruitment, moderation, and analysis automatically.<\/p>\n<p><strong>Consultancies and agencies<\/strong> should prioritize speed, global reach, and the ability to recruit niche audiences. Listen Labs\u2019 dedicated recruitment ops team can source audiences below 1% incidence rate, including enterprise decision-makers, engineers, and healthcare workers, and the platform covers 45+ countries.<\/p>\n<p>For one-off studies, any category tool can serve a narrow need. Ongoing brand intelligence programs need to explain metric movements, not just report them, which rules out single-category tools. The only end-to-end solution is Listen Labs.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" class=\"solid-button\" target=\"_blank\" rel=\"noindex nofollow\">Start Your Brand Intelligence Program<\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How Long Does It Take To Get Brand Insights From An AI Platform?<\/h3>\n<p>Timing depends on the category. Social listening tools surface mentions in near real time. <a href=\"https:\/\/pulsarplatform.com\/guides\/what-is-brand-tracking-2026\" target=\"_blank\" rel=\"noindex nofollow\">Traditional brand trackers typically take four to eight weeks from data collection to delivery<\/a>, and agency-led tracking programs can take considerably longer once internal prioritization and report writing are factored in. Listen Labs compresses the entire research cycle, from study design through AI-moderated interviews, analysis, and final deliverables, to less than 24 hours. Microsoft used Listen Labs to collect global customer stories for its 50th anniversary celebration within a single day.<\/p>\n<h3>Can AI Platforms For Brand Insights Reach Niche Or Hard-To-Find Audiences?<\/h3>\n<p>Most commodity panel providers struggle with audiences below 1% incidence rate. Listen Labs\u2019 dedicated recruitment ops team partners with niche communities, micro-creators, and specialized networks to source exactly the right participants, including enterprise decision-makers, engineers, healthcare workers, and highly specialized consumer segments. Listen Atlas, the 50M+ verified respondent network, covers 45+ countries and 120+ languages, and Quality Guard\u2019s behavioral matching operates on intent and past actions rather than self-reported demographics alone.<\/p>\n<h3>How Do You Ensure Participant Quality And Prevent Fraud?<\/h3>\n<p>Listen Labs uses three layers of protection. First, it works only with high-quality, non-commodity panel sources. Second, Quality Guard is an AI orchestration layer that monitors every interview in real time across video, voice, content, and device signals to detect fraud, low-effort responses, AI-generated scripts, and mismatched profiles. Third, participants are limited to three studies per month, which reduces incentive-driven behavior that degrades commodity panel data. A dedicated recruitment ops team adds a human review layer on top of the automated system.<\/p>\n<h3>Is Customer Data Used To Train AI Models?<\/h3>\n<p>Customer data never trains Listen Labs\u2019 AI models. The platform holds SOC 2 Type II, GDPR, ISO 27001, ISO 27701, and ISO 42001 certifications, and uses 256-bit encryption. Enterprise SSO is also available.<\/p>\n<h3>Do Teams Need To Replace Their Existing Brand Tracker To Use Listen Labs?<\/h3>\n<p>Teams can keep their existing tracker. Listen Pulse deploys alongside an existing tracker or as the primary tracking system. It integrates with Qualtrics and Decipher so teams keep the KPIs and trend lines they already report, while adding open-ended conversation to every wave. The metric movement and the reason behind it arrive in the same wave, rather than requiring a separate qualitative study to diagnose what the tracker surfaced.<\/p>\n<h2>Conclusion<\/h2>\n<p>Most AI platforms for brand insights stop at the \u201cwhat.\u201d Social listening tools capture what people say publicly. Brand trackers report that a KPI moved. AI-search visibility tools show how a brand is cited inside LLM answers. Each of these categories serves a real purpose, and the strongest brand intelligence programs use them in combination. None of them can explain why perception formed, what emotion accompanied a rating, or what would change a buyer\u2019s mind. That explanation requires a conversation.<\/p>\n<p>Listen Labs is the only end-to-end platform that recruits verified participants from a 50M+ global network, conducts AI-moderated qualitative interviews at scale, captures emotion through Ekman-based Emotional Intelligence, closes the say-do gap through Visual Insights, and delivers traceable findings in under 24 hours. It is the definitive solution for brand and insights teams that need to understand the \u201cwhy\u201d behind brand perception and connect it directly to the numbers they report.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" class=\"solid-button\" target=\"_blank\" rel=\"noindex nofollow\">Book a demo with Listen Labs today<\/a><\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/listenlabs.com\/articles\/best-ai-brand-intelligence-platforms\" target=\"_blank\">AI Brand Intelligence Platforms: Compare Top Tools<\/a><\/li>\n<li><a href=\"https:\/\/listenlabs.com\/articles\/best-ai-brand-tracking-software\" target=\"_blank\">Best AI Brand Tracking Software: Top Tools for 2026<\/a><\/li>\n<li><a href=\"https:\/\/listenlabs.com\/articles\/best-ai-brand-research-tools\" target=\"_blank\">Best AI Brand Research Tools in 2026: Top Platforms Compared<\/a><\/li>\n<li><a href=\"https:\/\/listenlabs.com\/articles\/best-ai-consumer-insights-platform\" target=\"_blank\">Best AI Consumer Insights Platforms in 2026: Compared<\/a><\/li>\n<li><a href=\"https:\/\/listenlabs.com\/articles\/ai-brand-monitoring-tools-2026\" target=\"_blank\">AI Brand Monitoring Tools: How to Choose in 2026<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Discover the top AI platforms for brand insights in 2026. Listen Labs helps you go beyond the &#8220;what&#8221; to uncover the &#8220;why.&#8221; Explore the guide now.<\/p>\n","protected":false},"author":52,"featured_media":2094,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2095","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\/2095","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=2095"}],"version-history":[{"count":0,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts\/2095\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media\/2094"}],"wp:attachment":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media?parent=2095"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/categories?post=2095"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/tags?post=2095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}