{"id":1743,"date":"2026-08-28T05:01:10","date_gmt":"2026-08-28T05:01:10","guid":{"rendered":"https:\/\/listenlabs.com\/articles\/tracksuit-competitors\/"},"modified":"2026-08-28T05:01:10","modified_gmt":"2026-08-28T05:01:10","slug":"tracksuit-competitors","status":"publish","type":"post","link":"https:\/\/listenlabs.com\/articles\/tracksuit-competitors\/","title":{"rendered":"Listen Pulse vs. Traditional Brand Trackers: Full Guide"},"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>Traditional brand trackers report KPI movements but lack mechanisms to explain why metrics shift, which forces teams to commission separate qualitative studies.<\/li>\n<li>Quant-only platforms like Tracksuit, Latana, Attest, and YouGov deliver fast, affordable dashboards yet cannot surface the consumer language behind perception changes.<\/li>\n<li>Listen Pulse is the only continuous tracker in this comparison that pairs locked quantitative questions with AI-moderated open-ended interviews, so teams receive both the score and the diagnostic narrative in the same wave.<\/li>\n<li>Enterprise-grade security (SOC 2 Type II, ISO 27001\/27701\/42001, GDPR) and a 50M+ verified respondent network across 120+ languages make Listen Pulse scalable without sacrificing data quality or trend-line integrity.<\/li>\n<li>Teams ready to replace reactive follow-up studies with built-in diagnosis should <a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">schedule a consultation<\/a> with Listen Labs to see how Listen Pulse turns every metric movement into actionable insight.<\/li>\n<\/ul>\n<h2>How We Evaluate Continuous Brand Tracking Platforms<\/h2>\n<p><strong>Speed to insight<\/strong> describes the time from fieldwork close to a decision-ready output. Traditional agency processes often introduce lags of several months between fieldwork and final deliverables, which can render the data strategically stale before anyone reads it.<\/p>\n<p><strong>Cost and total cost of ownership<\/strong> extends beyond the invoice. Buyers often focus on platform fees while overlooking the analyst hours and reporting overhead required to interpret results, which can double or triple the effective price of a tracking program.<\/p>\n<p><strong>Methodology<\/strong> distinguishes platforms that field only closed-ended survey batteries from those that combine structured KPI questions with open-ended conversational follow-up. Survey-based brand trackers are structurally incapable of explaining why a metric moved because they rely on pre-scripted questions that cannot branch dynamically based on a respondent&#8217;s prior answer.<\/p>\n<p><strong>Sample quality<\/strong> covers panel composition, fraud controls, and whether quota controls enforce census-representative sampling. <a href=\"https:\/\/timelaps.io\/resources\/blogs\/what-is-brand-tracking-a-2026-guide-to-optimize-roi-in-brand-health-tracking\" target=\"_blank\" rel=\"noindex nofollow\">Convenience samples from one-off panels produce precise numbers about the wrong population.<\/a><\/p>\n<p><strong>Diagnostic depth<\/strong> reflects the platform&#8217;s ability to explain metric movements rather than merely report them. <a href=\"https:\/\/brandspeak.co.uk\/blog\/brand-tracking-guide\" target=\"_blank\" rel=\"noindex nofollow\">If a provider offers only tracking with no diagnostic depth, you may measure movement without understanding it.<\/a><\/p>\n<p><strong>Scalability<\/strong> addresses multi-market reach, language support, and whether the platform can grow with a brand&#8217;s geographic and organizational footprint without proportional cost increases.<\/p>\n<h2>How the Platforms Compare on These Criteria<\/h2>\n<p>The following sections evaluate leading brand tracking platforms against these criteria. Each overview highlights where a platform excels and where it leaves diagnostic or operational gaps.<\/p>\n<h2>Tracksuit: Accessible Always-On Funnel Tracking<\/h2>\n<p>Tracksuit is a self-serve, always-on brand funnel tracker built for mid-market and DTC brands, delivering monthly dashboard refreshes against a locked quantitative question battery. It <a href=\"https:\/\/mediaweek.vinyl.media\/james-hurman-on-tracksuits-20-5m-raise-and-giving-marketers-roi-confidence\" target=\"_blank\" rel=\"noindex nofollow\">positions itself as substantially less expensive than traditional brand tracking providers charging $80,000\u2013$100,000 per year, with its own pricing typically $15,000\u2013$25,000 annually<\/a>. Its strength is accessibility, with clean dashboards, fast setup, and a price point that makes always-on tracking viable for brands that previously relied on biannual waves. The gap is diagnostic, as the platform shares the quant-only limitation described earlier and any root-cause investigation requires a separately commissioned qualitative study.<\/p>\n<h2>Latana: Modeled Metrics for Niche Audiences<\/h2>\n<p>Latana uses statistical modeling on continuous survey data to deliver reliable brand metrics for niche and hard-to-reach audiences, with monthly updates and segmentation by audience cohort. Pricing starts at \u20ac7,900 per year for the Essential plan. The modeling approach improves precision for small-population segments, which benefits brands with narrow target demographics. The same structural limitation described earlier applies here, so the platform measures shifts but does not capture the open-ended language behind them.<\/p>\n<h2>Attest: Agile Surveys for Non-Researchers<\/h2>\n<p>Attest is an agile consumer research platform that supports brand tracking alongside concept testing and message testing, with a self-serve interface designed for non-researchers. It delivers results faster than traditional agency trackers and allows teams to add custom questions to a standard brand health battery. The trade-off is depth, because Attest requires the separate qualitative follow-up described earlier to diagnose the drivers behind any metric movement, and its panel is less differentiated from commodity sources than platforms with proprietary recruitment infrastructure.<\/p>\n<h2>Behavio: Behavioral Science Frameworks in Tracking<\/h2>\n<p>Behavio applies behavioral science frameworks, particularly mental availability and category entry points from the Ehrenberg-Bass Institute, to brand tracking. This approach adds diagnostic constructs that go beyond the standard awareness-consideration-preference funnel. <a href=\"https:\/\/smilingcfo.co.uk\/insights-hub\/brand-health-measurement\" target=\"_blank\" rel=\"noindex nofollow\">Mental Market Share shows a clear correlation with actual sales market share, enabling stakeholders to understand reasons for changes when tracking results are shared across the business.<\/a> Behavio&#8217;s strength is its theoretical grounding. Its limitation is that the diagnostic layer remains quantitative, so it measures which category entry points a brand wins or loses without surfacing the open-ended consumer language behind those patterns.<\/p>\n<h2>Kantar: Analyst-Led Global Tracking Programs<\/h2>\n<p>Kantar&#8217;s full-service brand tracking programs combine quantitative measurement with proprietary frameworks and senior analyst support across 90+ markets. These programs sit at a premium price point. The analyst layer provides commercially grounded interpretation that pure software platforms cannot replicate. The gaps are speed and cost, as <a href=\"https:\/\/timelaps.io\/resources\/blogs\/what-is-brand-tracking-a-2026-guide-to-optimize-roi-in-brand-health-tracking\" target=\"_blank\" rel=\"noindex nofollow\">legacy agency trackers are characterized by long lead times and low speed to insight<\/a>, and the price point is prohibitive for all but the largest brand portfolios.<\/p>\n<h2>YouGov: Syndicated Daily Brand Health<\/h2>\n<p>YouGov BrandIndex is a syndicated, always-on tracker that delivers daily brand health measurement across 16 metrics in 55+ markets, covering more than 27,000 brands and 18+ years of historical data. The daily granularity and historical depth help enterprise brands correlate perception shifts with specific events. The diagnostic limitation is structural, because the syndicated model locks question wording and format, so explanation of any metric movement depends on analyst interpretation rather than direct consumer voice.<\/p>\n<h2>Ipsos: Custom and Agile Brand Health Solutions<\/h2>\n<p>Ipsos offers both full-service custom brand tracking and its agile Brand Health Essentials product. <a href=\"https:\/\/ipsos.com\/en-th\/introducing-brand-health-essentials\" target=\"_blank\" rel=\"noindex nofollow\">Brand Health Essentials is designed for turnkey execution with a templated questionnaire, delivering data and insights faster than legacy cycles and available across multiple markets.<\/a> Custom programs are offered at a range of price points. Ipsos&#8217;s strength is methodological rigor and global infrastructure. Its gap is that even the agile tier remains a quantitative instrument, so the diagnostic \u201cwhy\u201d still depends on separately commissioned qualitative work or consultant interpretation.<\/p>\n<h2>Qualtrics: Experience Management Infrastructure<\/h2>\n<p>Qualtrics BrandXM sits within a broader experience management suite, which allows brand tracking data to connect with customer experience, employee, and product data in a single platform. Costs scale based on users, response volume, and add-on modules. The integration advantage is meaningful for organizations already standardized on the Qualtrics ecosystem. The methodology remains survey-based, and the platform focuses on measurement and reporting rather than conversational diagnosis, so it functions as strong infrastructure but not a standalone solution for teams that need to understand why brand metrics move.<\/p>\n<h2>Brandwatch: Real-Time Social Listening<\/h2>\n<p>Brandwatch is an enterprise social listening and consumer intelligence platform that monitors brand mentions, sentiment, and share of voice across the web, social channels, forums, and reviews in near real-time. <a href=\"https:\/\/rwazi.com\/blog\/best-brand-tracking-tools\" target=\"_blank\" rel=\"noindex nofollow\">Enterprise pricing is typically several thousand dollars per month.<\/a> The distinction from survey-based trackers is methodological. <a href=\"https:\/\/blog.hubspot.com\/marketing\/brand-tracking-tools\" target=\"_blank\" rel=\"noindex nofollow\">Brand monitoring answers what people are saying about the brand right now, while brand tracking answers whether market perception is changing over time.<\/a> Brandwatch excels at monitoring organic public conversation but cannot field representative samples or maintain the consistent question wording required for valid longitudinal brand measurement.<\/p>\n<h2>Listen Pulse: Quant KPIs and AI Conversations in One Wave<\/h2>\n<p>Listen Pulse is the continuous brand tracking product within Listen Labs&#8217; end-to-end AI research platform, and it is the only tracker in this comparison that combines quantitative KPI waves with open-ended AI-moderated conversation in the same instrument. Core questions stay constant wave over wave to protect the trend line, while timely add-on questions address new campaigns, competitors, or news events without breaking historical comparability. Every metric movement arrives with the consumer language behind it, because themes are quantified and charted directly alongside the KPIs teams already report, and every number traces back to the original interview, verbatim quote, and audio or video clip.<\/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>In January 2026, Listen Labs raised a $69 million Series B led by Ribbit Capital, bringing total funding to $100 million. The platform draws on a verified respondent network of 50M+ people across 45+ countries and 120+ languages. Pulse integrates with Qualtrics and Decipher, so teams keep the KPIs they already report while adding the narrative behind them. One clothing brand&#8217;s existing tracker caught a consideration decline but could not explain it. Pulse identified that a growing customer segment felt the brand&#8217;s signature aesthetic no longer matched their evolving lifestyle, and that finding required no separate qualitative study and arrived in the same wave as the quantitative score.<\/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>The gap relative to syndicated tools like YouGov BrandIndex is historical data depth, because Pulse builds its trend line from the date of onboarding rather than drawing on decades of pre-existing benchmarks. For teams that prioritize diagnostic clarity over historical archive, that trade-off is favorable.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">See how Pulse pairs quantitative scores with diagnostic narratives in the same tracking wave.<\/a><\/p>\n<h2>Which Platform Fits Your Brand Tracking Scenario?<\/h2>\n<p>Platform selection depends on company size, budget, research maturity, and the specific question the team needs to answer.<\/p>\n<p>Mid-market brands with annual brand research budgets of $25,000\u2013$60,000 and a primary need for always-on funnel metrics will find Tracksuit or Latana sufficient if the team has the analytical capacity to commission separate qualitative work when a metric moves unexpectedly. A combined stack of a survey tracker at $25,000\u2013$40,000 per year alongside an AI interview layer at $12,000\u2013$16,000 per year delivers both quantitative metrics and qualitative diagnosis for mid-market budgets.<\/p>\n<p>Organizations where the core problem is not measurement but explanation, where the team already has quantitative trend data and needs to understand why a metric moved before the next leadership review, are the clearest fit for Listen Pulse. The conversational methodology delivers substantially longer responses than traditional open-ended surveys, which produces the diagnostic depth that quant-only trackers lack.<\/p>\n<p>Fast-moving CPG, DTC, and retail brands that need to detect emerging consumer sentiment before it registers as a KPI decline are the strongest candidates for always-on conversational tracking. <a href=\"https:\/\/timelaps.io\/resources\/blogs\/what-is-brand-tracking-a-2026-guide-to-optimize-roi-in-brand-health-tracking\" target=\"_blank\" rel=\"noindex nofollow\">Quarterly tracking misses early signals on every campaign, crisis, and competitor move, and monthly tracking is now the 2026 baseline for fast-growing B2C brands.<\/a><\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">Map Pulse against your current tracking cadence and research budget.<\/a><\/p>\n<h2>Operational Factors When Switching Trackers<\/h2>\n<p>Data governance requirements vary significantly by organization. Enterprise teams subject to GDPR, SOC 2, or ISO certification mandates should verify that any platform holds the relevant certifications before procurement. Listen Labs holds SOC 2 Type II, ISO 27001, ISO 27701, and ISO 42001 certifications, is GDPR compliant, and does not train its AI models on customer data, which matters for organizations with strict data residency or confidentiality requirements.<\/p>\n<p>Change management is a practical barrier that vendor comparisons rarely address. Switching from a legacy tracker to a new platform resets the historical trend line, which can create internal resistance from stakeholders who rely on year-over-year comparability. This resistance is why integration capability matters, because platforms that connect with existing infrastructure, such as Listen Pulse&#8217;s native connections to Qualtrics and Decipher, reduce friction by preserving existing KPI reporting while adding the conversational layer incrementally.<\/p>\n<p>Dashboard integration determines whether insights reach decision-makers or remain in a research team silo. <a href=\"https:\/\/www.reportsimple.com.au\/data-source\/yougov-sport-to-power-bi\" target=\"_blank\" rel=\"noindex nofollow\">YouGov data can be integrated with Power BI and Looker Studio via third-party connectors such as Windsor.ai and Report Simple<\/a>. Enterprise buyers should confirm equivalent integration paths for any platform under evaluation.<\/p>\n<h2>Risks to Watch in Brand Tracking Programs<\/h2>\n<p>Alert fatigue is a real operational risk with always-on quant-only tools. When a dashboard surfaces metric movements without explanation, research teams face pressure to investigate every fluctuation, often commissioning reactive qualitative studies that arrive too late to inform the decision that triggered the alert.<\/p>\n<p><a href=\"https:\/\/getperspective.ai\/blog\/conversational-surveys-are-replacing-static-forms-in-2026-the-data\" target=\"_blank\" rel=\"noindex nofollow\">Survey requests have risen 71% since 2020, with 70% of people abandoning surveys due to fatigue and average response rates sliding to 18\u201330%.<\/a> Any platform that relies on high-volume survey fielding without quality controls is exposed to this trend.<\/p>\n<p>Pure AI solutions carry their own risk, because some vendors over-promise on diagnostic capability without the methodological rigor to support it. Conversational tracking is only as reliable as the consistency of the discussion guide, the quality of the moderator&#8217;s probing logic, and the fraud controls applied to the respondent pool. <a href=\"https:\/\/thealchemic.com\/deeper-brand-tracks\" target=\"_blank\" rel=\"noindex nofollow\">Holding the discussion guide, moderator, and synthesis framework constant allows AI-moderated tracking to generate comparable qualitative trend lines that hand-moderated qualitative programs struggle to achieve.<\/a> Buyers should verify that any conversational tracker maintains this consistency wave over wave.<\/p>\n<p>Panel quality variation is the least visible risk in brand tracking. <a href=\"https:\/\/timelaps.io\/resources\/blogs\/what-is-brand-tracking-a-2026-guide-to-optimize-roi-in-brand-health-tracking\" target=\"_blank\" rel=\"noindex nofollow\">Active fraud detection, quality-control trap questions, and advanced data-cleansing algorithms are required to counter bots, speeders, straight-liners, and LLM-generated responses that degrade data quality in online panels.<\/a> Buyers should ask every vendor to describe their fraud detection methodology in specific terms rather than accepting general assurances about panel quality.<\/p>\n<h2>Decision Checklist for Brand Tracking Buyers<\/h2>\n<p>Use the following checklist to pressure-test any platform under evaluation:<\/p>\n<ul>\n<li>Does the platform deliver a diagnostic explanation for metric movements in the same wave as the quantitative scores, or does explanation require a separate study?<\/li>\n<li>Are core questions locked wave over wave to protect trend-line integrity, and can timely questions be added without breaking historical comparability?<\/li>\n<li>What fraud detection controls are applied at the respondent level, and how are professional survey-takers and AI-generated responses identified and removed?<\/li>\n<li>Does the platform&#8217;s geographic and language coverage match the markets where the brand operates or plans to expand?<\/li>\n<li>What is the total cost of ownership, including analyst hours, reporting overhead, and any separately commissioned qualitative studies required to explain metric movements?<\/li>\n<li>Does the platform integrate with existing data infrastructure, such as dashboards, survey tools, or CRM, or does it create a new reporting silo?<\/li>\n<li>What certifications does the platform hold for data security and privacy, and does it train AI models on customer data?<\/li>\n<li>Can the platform deploy alongside an existing tracker, or does adoption require replacing the current measurement infrastructure?<\/li>\n<\/ul>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How does conversational brand tracking differ from traditional wave-based surveys?<\/h3>\n<p>Traditional wave-based surveys field a locked battery of closed-ended questions to a representative sample on a recurring cadence, such as monthly, quarterly, or biannually. They produce statistically comparable trend lines but cannot branch based on a respondent&#8217;s prior answer, which means they measure that a metric moved without capturing why. Conversational brand tracking combines the same locked quantitative questions with open-ended AI-moderated follow-up in the same wave. The AI moderator probes each substantive answer dynamically, generating responses that are substantially longer and more diagnostic than those produced by static forms. Listen Pulse maintains trend-line integrity by keeping core questions constant while allowing timely questions to address new campaigns or competitive events, and it charts emerging themes directly alongside the KPIs teams already report.<\/p>\n<h3>How quickly does Listen Pulse deliver results, and how are participants sourced?<\/h3>\n<p>Listen Pulse operates on an always-on basis, analyzing tens of thousands of responses continuously and surfacing trend shifts as they emerge rather than at a fixed reporting interval. Participants are sourced from Listen Labs&#8217; verified network of 50M+ respondents across 45+ countries and 120+ languages. The platform&#8217;s AI orchestration layer matches and recruits participants across multiple panel partners and Listen Labs&#8217; proprietary database, with a dedicated recruitment operations team handling hard-to-reach segments. Organizations can also bring their own participants from existing customer databases at reduced cost.<\/p>\n<h3>How does Listen Labs prevent sample fraud and low-quality responses?<\/h3>\n<p>Listen Labs applies three layers of quality control. First, the platform works only with high-quality, non-commodity panel sources, so it avoids professional survey-takers from commodity pools. Second, Quality Guard monitors every interview in real time across video, voice, content, and device signals to detect fraudulent responses, AI-generated scripts, low-effort answers, and mismatched respondent profiles. Third, participants are limited to three studies per month across the platform, which eliminates the panel fatigue and incentive-optimization behavior that degrades data quality in open panels. A dedicated recruitment operations team adds a human review layer for studies requiring niche or hard-to-reach audiences.<\/p>\n<h3>Does Listen Pulse support multilingual tracking and global deployments?<\/h3>\n<p>Listen Pulse supports interview moderation in 120+ languages with automatic translation and transcription across all supported languages. The platform covers 45+ countries across the Americas, Europe, APAC, and MEA. Emotional Intelligence analysis, which analyzes tone of voice, word choice, and facial micro-expressions to surface emotional signals that transcripts alone miss, is available across 50+ languages. For global brand programs, core questions can be fielded simultaneously across markets in local languages while maintaining the consistent question structure required for cross-market comparability.<\/p>\n<h3>What security certifications does Listen Labs hold, and is customer data used to train AI models?<\/h3>\n<p>Listen Labs holds SOC 2 Type II, ISO 27001, ISO 27701, and ISO 42001 certifications and is GDPR compliant. All data is protected with 256-bit encryption, and the platform supports enterprise single sign-on. Listen Labs does not train its AI models on customer data, and this firm policy applies to all studies conducted on the platform, including Listen Pulse tracking programs. This policy is relevant for enterprise procurement teams with data residency, confidentiality, or AI governance requirements.<\/p>\n<h2>Conclusion: Matching Tools to Your Brand Tracking Needs<\/h2>\n<p>No single platform wins for every use case. Syndicated tools like YouGov BrandIndex offer unmatched historical depth and daily granularity for enterprise brands that need to correlate perception shifts with specific events. Full-service providers like Kantar and Ipsos deliver analyst-supported strategic recommendations for organizations with the budget and timeline to support them. Self-serve trackers like Tracksuit and Latana make always-on quantitative measurement accessible for mid-market brands. Quant-only platforms report that a number moved but lack built-in diagnostic explanation, so closing that gap requires either a separately commissioned qualitative study or a platform that embeds the diagnostic layer into the tracking instrument itself.<\/p>\n<p>Listen Pulse is built for teams where that gap is the primary problem, where the trend line is already established and the urgent need is the explanation that arrives in the same wave as the score. Evaluate it against your specific tracking requirements, market footprint, and diagnostic needs.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">Request a walkthrough showing how metrics and explanations arrive together.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Listen Labs pairs quant KPIs with AI-moderated interviews to show why brand metrics move. Compare 9 leading trackers and find your best fit today.<\/p>\n","protected":false},"author":52,"featured_media":1742,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1743","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\/1743","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=1743"}],"version-history":[{"count":0,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts\/1743\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media\/1742"}],"wp:attachment":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media?parent=1743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/categories?post=1743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/tags?post=1743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}