{"id":1737,"date":"2026-08-28T05:00:43","date_gmt":"2026-08-28T05:00:43","guid":{"rendered":"https:\/\/listenlabs.com\/articles\/yougov-vs-other-brand-trackers\/"},"modified":"2026-08-28T05:00:43","modified_gmt":"2026-08-28T05:00:43","slug":"yougov-vs-other-brand-trackers","status":"publish","type":"post","link":"https:\/\/listenlabs.com\/articles\/yougov-vs-other-brand-trackers\/","title":{"rendered":"Listen Labs vs YouGov: Brand Tracking Comparison"},"content":{"rendered":"<p><em>Written by: Anish Rao, Head of Growth, Listen Labs<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<p>This comparison evaluates leading brand tracking platforms across diagnostic depth, panel quality, emotional intelligence, and operational fit. Here is what enterprise teams should take from the analysis:<\/p>\n<ul>\n<li>Traditional daily trackers like YouGov BrandIndex, Kantar BrandZ, Ipsos, Nielsen, Morning Consult, Tracksuit, and Latana deliver high-frequency quant scores but structurally cannot explain why those scores moved.<\/li>\n<li>Listen Pulse closes the diagnostic gap by pairing structured tracking questions with AI-moderated open-ended conversation in the same wave, generating responses three times longer than average and surfacing consumer-driven themes.<\/li>\n<li>Every KPI movement is traceable to the original interview, verbatim quote, and audio or video clip, which removes the six-week wait for separate qualitative studies.<\/li>\n<li>Listen Labs&#8217; Quality Guard and Emotional Intelligence layers deliver strong panel quality, fraud prevention, and emotional-signal capture across 50-plus languages while maintaining SOC 2 Type II, ISO 27001, ISO 27701, and ISO 42001 compliance.<\/li>\n<li>Enterprise teams can add Listen Pulse as a diagnostic layer alongside existing trackers without replacing current infrastructure; <a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">book a demo with Listen Labs<\/a> to see why your brand metrics are moving.<\/li>\n<\/ul>\n<h2>Daily Tracking Frequency Across Major Platforms<\/h2>\n<p><a href=\"https:\/\/yougov.com\/en-us\/business\/products\/brandindex\/brandindex-api\" target=\"_blank\" rel=\"noindex nofollow\">YouGov BrandIndex tracks over 27,000 brands daily across 56 markets<\/a>, with scores updating each day. Morning Consult Brand Intelligence offers near-real-time monitoring with large daily sample sizes. Tracksuit refreshes data monthly with quick setup, typically live within weeks. Latana uses Bayesian modeling for reliable niche-audience metrics on a continuous cadence. Listen Pulse runs as an always-on conversational tracker that analyzes tens of thousands of responses around the clock.<\/p>\n<p>Frequency alone does not resolve the diagnostic problem. Daily granularity in platforms like YouGov BrandIndex enables correlation of perception shifts with specific market events, yet the platform still cannot diagnose the consumer associations, emotional drivers, or competitive switching triggers behind those shifts. A faster clock on a broken instrument still tells the wrong time. Frequency alone cannot solve the core challenge: understanding why metrics move. That requires diagnostic depth.<\/p>\n<h2>Diagnostic Depth: Explaining Why Metrics Move<\/h2>\n<p>Survey-based brand tracking programs suffer from an insight gap, the distance between what a closed-ended survey result reports and what a brand team needs to act, because they cannot follow up with \u201cwhy do you feel that way?\u201d or probe belief structures five to seven levels deep. This gap is not a design flaw that better survey questions can fix. It is a structural limitation of closed-ended quantitative methodology that necessitates open-ended depth interviews for explanation.<\/p>\n<p>Listen Pulse addresses this gap by pairing structured tracking questions with AI-moderated open-ended conversation in the same wave. The AI moderator probes five to seven levels deep on substantive answers, producing the extended responses mentioned earlier. This depth reveals underlying motivations rather than surface preferences. Respondents surface their own topics instead of selecting from predefined attribute lists, which allows the instrument to track abstract constructs like cultural relevance without perfect question design upfront. The platform then quantifies every theme and charts it alongside the KPIs teams already report, bridging qualitative insight and quantitative tracking.<\/p>\n<h2>Panel Quality and Fraud Controls Across Vendors<\/h2>\n<p><a href=\"https:\/\/yougov.com\/en-us\/business\/products\/brandindex\/brandindex-api\" target=\"_blank\" rel=\"noindex nofollow\">YouGov BrandIndex maintains a panel of more than 30 million members<\/a> built from its own proprietary registration base rather than rented external samples, which provides a meaningful quality floor. In contrast, <a href=\"https:\/\/help.gotracksuit.com\/en\/articles\/11638977-where-do-respondents-come-from\" target=\"_blank\" rel=\"noindex nofollow\">Tracksuit partners with Dynata to recruit its survey respondents<\/a>, which are commodity sources carrying higher fraud exposure. Fraud rates in online surveys are estimated at 15\u201345% depending on the source and survey, with no data on the share of respondents who thoughtfully complete long surveys, a figure that underscores why panel sourcing decisions carry material consequences for data integrity.<\/p>\n<p>Listen Labs&#8217; Quality Guard takes a different approach entirely. It matches participants on behavioral and intent signals rather than self-reported demographics, monitors every interview in real time across video, voice, content, and device signals, and caps each participant at three studies per month to eliminate professional survey-takers. A dedicated recruitment operations team adds a human review layer for hard-to-reach segments. The result is a 50M+ verified respondent network that builds a compounding reputation score with every study completed, creating a quality flywheel that commodity panels cannot replicate.<\/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<h2>Cost and Deployment Speed for Brand Tracking<\/h2>\n<p>YouGov BrandIndex annual enterprise contracts run $50,000\u2013$200,000+ for daily tracking with 18-plus years of historical data. Kantar BrandZ typically charges $75,000\u2013$500,000+ per year for enterprise subscriptions measuring brand equity across markets. Tracksuit&#8217;s annual price for brand tracking starts at $19,000, while <a href=\"https:\/\/www.cubbie.com\/products\/latana\" target=\"_blank\" rel=\"noindex nofollow\">Latana starts from approximately \u20ac7,900 per year<\/a>. Legacy brand trackers involve substantial annual costs, while continuous AI-moderated programs can be more affordable and produce sharper signal through weekly data points.<\/p>\n<p>Listen Pulse uses a subscription-plus-credit model and deploys alongside existing trackers rather than replacing them. Teams keep the KPIs they already report and add the conversational layer that explains movement. Deployment happens without dismantling current infrastructure.<\/p>\n<h2>Working with Existing BI and Tracker Infrastructure<\/h2>\n<p>YouGov BrandIndex provides <a href=\"https:\/\/yougov.com\/en-us\/business\/products\/brandindex\/brandindex-api\" target=\"_blank\" rel=\"noindex nofollow\">API access for direct integration into BI tools, marketing platforms, and AI solutions<\/a>. Qualtrics embeds brand tracking within its broader experience management suite, enabling integration with customer, employee, and product experience data. Kantar and Ipsos deliver analyst-supported outputs but operate on multi-week delivery cycles that limit real-time integration.<\/p>\n<p>Listen Pulse connects directly with Qualtrics and Decipher, so teams keep the KPI infrastructure they have already built while layering conversational data on top. This approach creates an additive deployment, not a rip-and-replace decision. Enterprises running existing YouGov or Kantar programs can add Listen Pulse to the same wave cadence without breaking historical comparability.<\/p>\n<h2>Emotional-Signal Capture Beyond Checkboxes<\/h2>\n<p>Quant-only trackers in this comparison capture what respondents select from a predefined list, not what respondents feel while selecting it. <a href=\"https:\/\/conveo.ai\/insights\/best-brand-equity-analysis-tool\" target=\"_blank\" rel=\"noindex nofollow\">YouGov BrandIndex is rated low on depth of \u201cwhy\u201d captured and provides no evidence traceability, delivering real-time quantitative brand health signals from a syndicated panel without explaining the reasons for metric shifts.<\/a><\/p>\n<p>Listen Labs&#8217; Emotional Intelligence analyzes three simultaneous signal layers, tone of voice, word choice, and subconscious micro-expressions, built on Ekman&#8217;s universal emotions framework, the same standard used in clinical psychology. Every emotion is quantified per question and concept, traceable to the exact timestamp, verbatim quote, and the reasoning behind the label. The capability covers 50-plus languages and integrates directly with the Research Agent for natural-language queries, charts, and highlight reels of emotionally significant moments.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">Request a demo showing emotion analysis across tone, word choice, and micro-expressions<\/a><\/p>\n<h2>Traceability from KPI Shifts to Verbatim Evidence<\/h2>\n<p><a href=\"https:\/\/koji.so\/docs\/brand-tracking-study-guide\" target=\"_blank\" rel=\"noindex nofollow\">Traditional tracker output consists of quantitative KPIs and a 60-page deck delivered six weeks after fieldwork.<\/a> Aggregate scores arrive without a path back to the individual responses that produced them. When a consideration score drops four points among the 25\u201335 segment, the tracker reports the drop but cannot surface the specific competitive narrative or values shift driving it.<\/p>\n<p>Listen Pulse links every KPI movement directly to the original interview, the verbatim quote, and the audio or video clip. A brand team can drill into any metric and hear the original explanation in the respondent&#8217;s own words. One clothing brand&#8217;s traditional tracker caught a drop in brand preference but could not explain it. Listen Pulse traced the movement to a growing segment of customers who felt the brand&#8217;s signature logo aesthetic had become misaligned with their changing lifestyle. That finding reshaped the product strategy without requiring a separate qualitative study.<\/p>\n<h2>Cross-Wave Learning and Long-Term Value<\/h2>\n<p><a href=\"https:\/\/yougov.com\/business\/products\/brandindex\" target=\"_blank\" rel=\"noindex nofollow\">YouGov BrandIndex has accumulated 18+ years of continuous historical data on some brands, enabling long-term trend analysis of reputation events.<\/a> That historical depth is a genuine asset for publicly traded companies and large CPG brands that need to correlate perception shifts with media spend over multi-year periods.<\/p>\n<p>Listen Pulse adds a compounding qualitative layer through Research Library, which stores every study, theme, association, and competitive mention so that longitudinal trends become searchable and comparable. Teams can query the entire body of research in natural language, compare findings across waves, and check whether a question has already been answered before commissioning new fieldwork. Individual studies turn into an interconnected intelligence system rather than expiring with each project cycle.<\/p>\n<h2>Decision Guidance by Company Size and Budget<\/h2>\n<p>Enterprise teams at Fortune 500 companies with $50M-plus media budgets and existing YouGov or Kantar contracts benefit most from adding Listen Pulse as a diagnostic layer rather than replacing their current tracker. The quant scoreboard stays intact and the conversational explanation arrives in the same wave. Teams in this tier typically need SOC 2, GDPR, and ISO compliance, global fielding across 45-plus countries, and integration with existing BI infrastructure, all of which Listen Pulse supports.<\/p>\n<p>Mid-market brands spending $25,000\u2013$50,000 annually on Tracksuit or Latana gain continuous quantitative detection but no diagnostic depth. A blended approach combining a survey subscription with quarterly AI-moderated conversational waves totals $5,200\u2013$13,600 annually while delivering both continuous detection and diagnostic \u201cwhy\u201d insights. Listen Pulse fits this tier as either a standalone primary tracker or a complement to an existing subscription.<\/p>\n<p>Agency and consultancy teams running bespoke brand research for client engagements need fast turnaround, niche audience access, and deliverables that translate consumer language into board-ready recommendations. Listen Pulse&#8217;s subscription-plus-credit model, 24-hour turnaround, and auto-generated slide decks and highlight reels address all three requirements without the six-week agency cycle.<\/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<h2>Operational and Compliance Requirements for Enterprise<\/h2>\n<p>Enterprise deployments require more than methodology alignment. Listen Labs holds the enterprise security certifications outlined earlier and is GDPR compliant. Customer data is never used to train AI models. The platform supports 120-plus languages for interview moderation and covers 45-plus countries across the Americas, Europe, APAC, and MEA, which makes it viable for ongoing global programs without separate regional vendors. Change management is simplified by the additive deployment model. Teams do not need to retrain stakeholders on a new KPI framework because Listen Pulse surfaces its conversational themes alongside the metrics those stakeholders already track.<\/p>\n<h2>Risks and Limitations of Current Approaches<\/h2>\n<p>Rigid quant instruments produce shallow data by design. Survey-based brand trackers structurally cannot answer diagnostic questions because the follow-up question depends on the respondent&#8217;s answer, but surveys are pre-scripted and cannot branch dynamically. Faster delivery of a structurally limited instrument does not resolve the limitation.<\/p>\n<p>Commodity panels introduce fraud risk that faster tools do not automatically eliminate. Given the fraud exposure documented earlier, commodity panels introduce quality risk that faster delivery does not automatically remove, and recruitment complexity is often hidden inside subscription pricing. Teams evaluating mid-market trackers should audit panel sourcing before assuming that lower cost reflects equivalent quality.<\/p>\n<p>Conversational trackers require thoughtful study design to preserve trend-line integrity. Listen Pulse addresses this by keeping core questions constant wave over wave while allowing timely add-on questions to cover new campaigns, competitors, or news events without breaking historical comparability. The risk of disrupting a trend line is real but manageable with disciplined question governance.<\/p>\n<h2>Criteria-Based Decision Framework<\/h2>\n<p>The decision between YouGov BrandIndex, Kantar, Tracksuit, Latana, and Listen Pulse is not binary. The structural limitation shared by every quant-only tracker, the inability to explain why a metric moved, is not a feature gap that any of those platforms is designed to close. A 2026 brand health tracking guide states that quantitative tracking detects changes while qualitative tracking diagnoses why those changes occurred, recommending that the two be run on the same cadence so the quantitative wave functions as an early-warning system and the qualitative wave as a strategic intelligence layer.<\/p>\n<p>Teams whose primary constraint is budget and whose primary need is continuous detection should evaluate Tracksuit or Latana. Teams whose primary constraint is diagnostic depth and whose existing tracker already provides the quant scoreboard should add Listen Pulse to the current stack. Teams building a tracking program from scratch with both detection and diagnosis as requirements should evaluate Listen Pulse as the primary instrument, given its ability to run structured KPIs and open-ended conversation in the same wave at a fraction of traditional tracker cost.<\/p>\n<p>The criteria that matter most for enterprise buyers, diagnostic depth, panel quality, emotional-signal capture, verbatim traceability, and cross-wave compounding value, are criteria on which Listen Pulse is structurally differentiated, not incrementally better.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How long does it take to receive turnaround on a Listen Pulse wave versus a traditional YouGov BrandIndex refresh?<\/h3>\n<p>YouGov BrandIndex presents scores with daily updates, meaning any single day&#8217;s data is smoothed across a rolling window rather than delivered as a discrete wave result. Traditional agency-managed trackers typically deliver a 60-page deck six weeks after fieldwork closes. Listen Pulse compresses the full research cycle, fielding, AI moderation, analysis, and deliverables, to less than 24 hours. Teams receive quantified themes, verbatim quotes, and highlight clips in the same window rather than waiting for a separate qualitative study to explain what the quant wave detected.<\/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<h3>Where does Listen Labs source its panel and how does panel quality compare with YouGov&#8217;s 30M+ registered respondents?<\/h3>\n<p>YouGov&#8217;s panel, detailed in the panel quality comparison above, consists of proprietary registrations rather than commodity rentals. Listen Labs operates a 50M+ verified respondent network through Listen Atlas, an AI orchestration layer that matches and bids across multiple high-quality consumer and B2B panel partners alongside Listen Labs&#8217; proprietary database. A dedicated recruitment operations team handles sourcing for hard-to-reach segments including enterprise decision-makers, healthcare workers, engineers, and consumers below 1% incidence rate. Organizations can also self-recruit from their own user base at reduced cost.<\/p>\n<h3>How does sample quality and fraud prevention differ between commodity panels and Listen Labs&#8217; Quality Guard approach?<\/h3>\n<p>Commodity panels used by some mid-market trackers rely on self-reported demographic screening with limited behavioral verification, which creates exposure to professional survey-takers, repeat respondents, and AI-generated responses. Quality Guard operates across three layers: behavioral and intent matching rather than demographic self-reporting, real-time AI monitoring across video, voice, content, and device signals during every interview, and a hard cap of three studies per month per participant. A dedicated human review layer supplements the AI monitoring for complex or niche recruitment scenarios. The reputation score that Quality Guard builds across every completed interview compounds over time, so the audience quality improves as the platform scales, a structural advantage that commodity panels cannot replicate.<\/p>\n<h3>What moderation differences exist between fixed survey instruments and AI-moderated conversational interviews?<\/h3>\n<p>Fixed survey instruments present predefined questions in a predetermined sequence. Respondents select from researcher-designed attribute lists, which means the data reflects the survey structure as much as it reflects actual consumer psychology. The instrument cannot branch based on what a respondent says because the follow-up question is scripted before the respondent answers. Listen Labs&#8217; AI moderator conducts personalized, adaptive conversations with dynamic follow-up questions generated in response to each answer. It probes five to seven levels deep on substantive responses, moving from surface perceptions to root motivations, and generates responses three times longer than average. The same discussion guide is saved and relaunched wave over wave, which maintains methodological consistency that human moderators cannot achieve at scale.<\/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<h3>Does Listen Pulse support multilingual tracking and emotional-signal analysis across 50+ languages?<\/h3>\n<p>Listen Pulse supports interview moderation in 120-plus languages with automatic translation and transcription across all supported languages, covering 45-plus countries across the Americas, Europe, APAC, and MEA. Emotional Intelligence analysis, which quantifies tone of voice, word choice, and micro-expressions using Ekman&#8217;s universal emotions framework, is available across 50-plus languages. Every emotion label is traceable to the exact timestamp and verbatim quote regardless of the language in which the interview was conducted, which makes the capability viable for global tracking programs without separate regional research operations.<\/p>\n<h3>What security and compliance certifications does Listen Labs hold for enterprise deployments?<\/h3>\n<p>Listen Labs holds SOC 2 Type II, ISO 27001, ISO 27701, and ISO 42001 certifications and is GDPR compliant. The platform uses 256-bit encryption and enterprise SSO. Customer data is never used to train Listen Labs&#8217; AI models. These certifications cover the full research lifecycle including recruitment, moderation, analysis, and data storage, which makes Listen Pulse viable for enterprise deployments with strict information security requirements.<\/p>\n<h3>How complex is implementation when adding Listen Pulse alongside an existing YouGov or Kantar tracker?<\/h3>\n<p>Listen Pulse is designed as an additive deployment. It connects directly with Qualtrics and Decipher, so teams keep the KPI framework and reporting infrastructure they have already built. Core tracking questions stay constant to protect the historical trend line. The conversational layer is added to the same wave cadence rather than replacing it. Teams do not need to retrain stakeholders on a new metric framework because Listen Pulse surfaces its themes and verbatim evidence alongside the metrics those stakeholders already track. Implementation does not require dismantling current contracts or rebuilding existing dashboards.<\/p>\n<h3>How does Listen Pulse scale for global programs spanning multiple markets and thousands of daily responses?<\/h3>\n<p>Listen Pulse analyzes tens of thousands of responses around the clock across all active markets simultaneously. The platform&#8217;s global panel covers 45-plus countries and 120-plus languages, with AI moderation running parallel interviews at scale rather than sequentially. Research Library stores every wave, theme, and competitive mention across all markets, which enables cross-market synthesis in natural language rather than requiring analysts to manually reconcile regional reports. The platform has conducted over one million AI-moderated customer interviews since launch and serves enterprises including Microsoft, Google, Procter and Gamble, and Nestl\u00e9, demonstrating performance at Fortune 500 scale across ongoing global programs.<\/p>\n<h2>Conclusion: Why the Diagnostic Gap Persists<\/h2>\n<p>YouGov BrandIndex, Kantar BrandZ, Morning Consult, Tracksuit, and Latana are well-engineered instruments for what they are designed to do, report that a metric moved. The limitation they share is not a product deficiency. It is a methodological boundary. Closed-ended survey platforms structurally cannot explain why metrics change because they lack open-ended conversational depth; this limitation is inherent to quantitative methodology rather than a design flaw that better survey questions can solve.<\/p>\n<p>Listen Pulse is built for the question that follows the number: why it moved, which consumers are driving it, and what is forming in the data before it reaches the KPI. By pairing daily quant scores with traceable open-ended conversation in the same wave, Listen Pulse turns lagging indicators into leading ones, without replacing the trackers enterprise teams have already built their reporting around.<\/p>\n<p><a href=\"https:\/\/listenlabs.com\/book-my-demo\" target=\"_blank\" rel=\"noindex nofollow\">Schedule a consultation to evaluate Listen Pulse for your tracking program<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>See how Listen Labs outperforms YouGov on diagnostic depth, speed, and panel quality. Get daily brand insights with Listen Pulse. Track smarter today.<\/p>\n","protected":false},"author":52,"featured_media":1736,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1737","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\/1737","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=1737"}],"version-history":[{"count":0,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/posts\/1737\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media\/1736"}],"wp:attachment":[{"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/media?parent=1737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/categories?post=1737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/listenlabs.com\/articles\/wp-json\/wp\/v2\/tags?post=1737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}