{"id":1233,"date":"2026-07-30T05:17:34","date_gmt":"2026-07-30T05:17:34","guid":{"rendered":"https:\/\/www.plura.ai\/articles\/lead-qualification-process"},"modified":"2026-07-30T05:17:34","modified_gmt":"2026-07-30T05:17:34","slug":"lead-qualification-process","status":"publish","type":"post","link":"https:\/\/www.plura.ai\/articles\/lead-qualification-process","title":{"rendered":"Lead Qualification Process: A Step-by-Step Guide"},"content":{"rendered":"<p><em>Written by: Matt Beucler, CEO, Plura AI<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for Modern Lead Qualification<\/h2>\n<ul>\n<li>The lead qualification process filters prospects by fit, interest, and buying readiness before routing them to a sales rep. Plura AI runs this process in seconds across voice, AI SMS, RCS, and AI webchat.<\/li>\n<li>Speed-to-lead drives contact and conversion. Responding within 5 minutes makes a business 100 times more likely to make contact than waiting 30 minutes, while calling within one minute increases conversion rates by 391%.<sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup><\/li>\n<li>Five factors define lead quality: ICP fit, verified contact data, BANT\/MEDDIC\/CHAMP scoring, dynamic lead scoring, and instant routing to the right rep or queue.<\/li>\n<li>AI-powered qualification replaces manual work with real-time enrichment from 30+ sources, consistent framework application, dynamic scoring, and compliance guardrails that support TCPA, DNC, HIPAA, SOC 2, and 50+ state rules.<sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup><\/li>\n<li>Organizations using AI-powered lead scoring achieve significantly higher predictive accuracy and conversion rates. <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\">Book a live demo with Plura AI<\/a> to see the 7-step framework in action.<\/li>\n<\/ul>\n<h2>How Do You Qualify a Lead?<\/h2>\n<p>Teams qualify leads effectively only when they move fast. The MIT Lead Response Management Study, analyzing over 15,000 leads, found that responding within 5 minutes makes a business 100 times more likely to make contact than waiting 30 minutes.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup> A Velocify study analyzing over 3.5 million leads found that calling a lead within one minute of inquiry increases conversion rates by 391%.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup> Yet <a href=\"https:\/\/www.expertise.ai\/stats\/speed-to-lead-statistics\" target=\"_blank\" rel=\"noindex nofollow\">Harvard Business Review data shows the average B2B first response time is 42 hours.<\/a><\/p>\n<p>Manual qualification cannot close that gap. A human SDR works one channel at a time, follows up in batches, and applies frameworks like BANT (Budget, Authority, Need, Timeline) or MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion) inconsistently. The 7-step AI-powered framework below replaces that with a repeatable system that responds in seconds.<\/p>\n<h2>Five Factors That Define Lead Qualification Quality<\/h2>\n<p>Five factors determine whether a lead is worth a rep&#8217;s time. Each maps directly to a step in the framework:<\/p>\n<ol>\n<li><strong>Fit against your Ideal Customer Profile (ICP)<\/strong> &#8211; Step 1<\/li>\n<li><strong>Verified, enriched contact and firmographic data<\/strong> &#8211; Step 2<\/li>\n<li><strong>Buying signals scored against BANT, MEDDIC, or CHAMP criteria<\/strong> &#8211; Step 3<\/li>\n<li><strong>A dynamic lead score that reflects real-time intent<\/strong> &#8211; Step 4<\/li>\n<li><strong>Instant routing to the right rep or queue<\/strong> &#8211; Step 5<\/li>\n<\/ol>\n<p>Steps 6 and 7 address the operational foundation that makes the first five steps sustainable. Compliance guardrails protect the process from regulatory risk, while speed-to-lead measurement proves its value and highlights bottlenecks.<\/p>\n<h2>BANT vs MEDDIC in 2026: Frameworks That Still Matter<\/h2>\n<p>BANT and MEDDIC still provide useful structure for sales conversations. <a href=\"https:\/\/symbioz.ai\/en\/blog\/ai-sales-qualification-beyond-bant-meddic\" target=\"_blank\" rel=\"noindex nofollow\">They remain effective as thinking frameworks because they prompt the right questions, but in an active B2B pipeline, the answers change constantly.<\/a><sup data-disclaimer-id=\"26\" data-disclaimer-index=\"5\">5<\/sup> Manual execution struggles with consistency, while AI can apply BANT logic the same way on every lead.<\/p>\n<p><a href=\"https:\/\/spotlight.ai\/post\/how-ai-transforms-meddic-sales-execution-in-2026-1\" target=\"_blank\" rel=\"noindex nofollow\">By 2026, over 60% of B2B sales teams will use machine-learning-derived intent scoring as a core component of pipeline qualification, replacing gut-instinct assessments with evidence-based deal evaluation, per the Gartner Market Guide for Revenue Intelligence Platforms.<\/a><sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup> AI does not replace BANT or MEDDIC. It enforces these frameworks at scale, on every lead, with zero variance. The following seven steps show how that enforcement works in practice.<\/p>\n<h2>Step 1: ICP Definition Built From Real Deals<\/h2>\n<p>Qualification starts before the first contact. Define your Ideal Customer Profile using firmographic criteria such as industry, company size, geography, and revenue, along with technographic signals and historical win-loss data. <a href=\"https:\/\/symbioz.ai\/en\/blog\/ai-sales-qualification-beyond-bant-meddic\" target=\"_blank\" rel=\"noindex nofollow\">A dynamic ICP built from patterns in actually won deals, including engagement behavior in the first 30 days, champion emergence speed, and win-loss analysis, refines continuously with each closing.<\/a> Every lead entering the system is measured against this profile before enrichment begins.<\/p>\n<h2>Step 2: Real-Time Data Enrichment from 30+ Sources<\/h2>\n<p>Static form data rarely gives enough context for accurate qualification. Plura&#8217;s <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">AI SMS<\/a> and <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">speed-to-lead<\/a> engine enrich every lead in real time from more than 30 data sources, including IP and property data, email validation, contact data, intent signals, and business firmographics, during the live conversation rather than in a downstream batch job.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338746890-b49b2d3e2bbd.png\" alt=\"Plura Lead Intelligence dashboard showing AI-powered lead enrichment, customer validation, and automated qualification insights.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Lead Intelligence enriches customer data with AI-powered insights, validation, and lead qualification to improve conversion performance.<\/em><\/figcaption><\/figure>\n<p>Real-time enrichment reduces SDR time per lead by removing manual research. That time savings creates productivity gains that translate into higher MQL-to-SQL conversion. Organizations using automated CRM enrichment see these productivity improvements show up as better lead-to-opportunity conversion rates because reps spend more time on qualified conversations and less time validating contact data.<\/p>\n<p>Plura&#8217;s enrichment layer is shared across voice, <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">AI SMS<\/a>, RCS, and <a href=\"https:\/\/plura.ai\/plura-webchat\" target=\"_blank\" rel=\"noindex nofollow\">AI webchat<\/a>. Every channel sees the same lead picture at the same depth, at the same moment.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338680098-bf2bbd201647.png\" alt=\"Plura Unified Inbox interface showing centralized AI Voice, SMS, RCS, and Webchat conversations in one omnichannel workspace.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Unified Inbox centralizes AI Voice, SMS, RCS, and Webchat conversations into one streamlined omnichannel communication workspace.<\/em><\/figcaption><\/figure>\n<h2>Step 3: AI-Augmented BANT\/MEDDIC\/CHAMP Scoring<\/h2>\n<p>Each enriched lead is then scored against the qualification framework your team uses. In 2026, the most common AI lead qualification pattern is hybrid, combining rules engines with LLM enrichment, predictive machine-learning scoring, and conversational AI with rubric scoring to run BANT or MEDDIC frameworks.<\/p>\n<p>Layering AI scoring on BANT or MEDDIC frameworks can raise qualification accuracy compared to manual methods. Plura&#8217;s <a href=\"https:\/\/www.plura.ai\/business-intelligence\" target=\"_blank\">business intelligence<\/a> layer scores and prioritizes leads in real time using behavioral signals, conversation context, and predictive intent modeling. This logic applies consistently to every lead, not just the ones a rep happens to call first.<\/p>\n<h2>Step 4: Dynamic Lead Scoring That Adapts<\/h2>\n<p>A static lead score assigned at form fill starts to decay immediately. <a href=\"https:\/\/symbioz.ai\/en\/blog\/ai-sales-qualification-beyond-bant-meddic\" target=\"_blank\" rel=\"noindex nofollow\">AI qualification scores reflect changing conditions such as budget freezes, key contact role changes, or competing internal projects that static BANT\/MEDDIC frameworks miss because signals from emails, meetings, and engagement patterns rarely update the CRM.<\/a><\/p>\n<p>Plura&#8217;s dynamic scoring model recalculates with every new signal, including reply behavior, channel engagement, enrichment updates, and conversation outcomes. Organizations using AI-powered lead scoring achieve 72-85% predictive accuracy and report 2.1x higher MQL-to-SQL conversion rates than rule-based approaches.<sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup> A threshold-based routing model, typically set at a defined score floor, keeps low-fit leads from consuming high-value sales capacity.<\/p>\n<p><a href=\"https:\/\/plura.ai\/plura-webchat\" target=\"_blank\" rel=\"noindex nofollow\">Book a live demo with Plura to see the dynamic scoring model in action across all four channels.<\/a><\/p>\n<h2>Step 5: Instant Routing Rules That Protect Hot Leads<\/h2>\n<p>A qualified lead that waits in a queue starts to cool immediately. As the MIT study showed, response speed directly determines contact probability, which is why routing rules matter. Plura&#8217;s <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">lead qualification<\/a> and <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">live transfer<\/a> engine routes leads within seconds based on score, ICP fit, territory, product interest, and rep availability, with warm transfer to a U.S. agent when a workflow gate triggers.<\/p>\n<p><a href=\"https:\/\/ustechautomations.com\/resources\/blog\/automated-support-routing-case-study-2026\" target=\"_blank\" rel=\"noindex nofollow\">No published data confirms that automated round-robin lead routing reduces response time by 67%. Available studies report other reductions such as 60% for automated support routing.<\/a> Plura&#8217;s routing layer includes fallback rules, SLA enforcement, and escalation paths, so no lead sits unassigned.<\/p>\n<h2>Step 6: Compliance Guardrails Across Federal and State Rules<\/h2>\n<p>Compliance functions as a core part of the platform, not an add-on. Plura&#8217;s compliance engine checks every outbound contact against federal and state DNC registries in real time before dial. Consent records are timestamped and immutable. Quiet-hours rules apply automatically through time-zone detection. SHAKEN\/STIR caller ID verification authenticates every outbound voice call. The platform supports compliance workflows for TCPA, DNC, HIPAA, SOC 2, ISO certification, and GDPR, with more than 50 state rule sets pre-loaded and applied automatically.<sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup><\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779339090994-980045ddacd2.png\" alt=\"Plura Security &amp; Compliance dashboard highlighting SOC 2, ISO, and GDPR standards with secure trust verification management.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Security &amp; Compliance supports SOC 2, ISO, and GDPR standards with trust registration, verification management, and secure AI communications.<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/www.recordinglaw.com\/us-laws\/tcpa\/tcpa-damages-and-lawsuits\/\" target=\"_blank\" rel=\"noindex nofollow\">TCPA statutory damages are $500 per violation (or actual damages, whichever is greater) and up to $1,500 per willful or knowing violation, with no class-action cap<\/a>.<sup data-disclaimer-id=\"23\" data-disclaimer-index=\"2\">2<\/sup> A single bad lead list processed through an autodialer can generate thousands of potential violations. Plura&#8217;s compliance dashboard exports audit-ready reports in one click. Customers remain responsible for their own regulatory obligations, and Plura provides infrastructure that supports compliance workflows.<\/p>\n<p><a href=\"https:\/\/plura.ai\/pricing\" target=\"_blank\">Compare plans and rates side by side at plura.ai\/pricing<\/a> to see which tier includes the compliance features your operation requires.<\/p>\n<h2>Step 7: Speed-to-Lead Measurement and ROI Math<\/h2>\n<p>Effective management of speed-to-lead starts with clear measurement. The three timestamps that matter are time-to-assignment (lead enters system to owner assigned), time-to-first-touch (assignment to first outbound attempt), and time-to-qualification (first touch to logged qualifying conversation).<\/p>\n<p>Plura contacts leads in seconds, compared with an industry standard of more than 47 hours. <a href=\"https:\/\/plura.ai\/glossary\/speed-to-lead\" target=\"_blank\" rel=\"noindex nofollow\">Organizations deploying AI for speed to lead see response times drop from hours to seconds and connection rates increase by 3x to 5x.<\/a> <a href=\"https:\/\/plura.ai\/guides\/ai-marketing-automation\" target=\"_blank\" rel=\"noindex nofollow\">AI-powered qualification can reduce the cost per qualified lead.<\/a><\/p>\n<p>In a 15-agent scenario at default inputs, Plura&#8217;s ROI calculator shows human agent cost at $60,000 per month versus $14,400 per month for Plura agents. That gap creates a 30-day saving of $45,600 and a 12-month saving of $547,200.<sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup><\/p>\n<p><a href=\"https:\/\/plura.ai\/calculator\" target=\"_blank\">Run your numbers through Plura&#8217;s calculator to check your ROI in real time.<\/a><\/p>\n<h2>Traditional vs. AI-Powered Lead Qualification: A Comparison<\/h2>\n<p>Traditional manual lead qualification creates a performance ceiling. Slower response times mean leads go cold, inconsistent framework application means qualification quality varies by rep, and both factors drive lower conversion rates. AI-powered qualification with Plura removes that ceiling by responding in seconds, applying frameworks identically to every lead, and combining both improvements to deliver measurably higher conversion rates.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the lead qualification process?<\/h3>\n<p>The lead qualification process is the sequence of steps a sales or marketing team uses to determine whether a prospect has the fit, intent, and buying readiness to justify a rep&#8217;s time. It typically involves defining an ICP, enriching contact data, scoring against a framework like BANT or MEDDIC, routing to the right rep, and measuring response speed. In an AI-powered system, these steps execute automatically and in parallel within seconds rather than sequentially over hours or days.<\/p>\n<h3>How do you qualify a lead using BANT in 2026?<\/h3>\n<p>BANT (Budget, Authority, Need, Timeline) remains a valid qualification framework in 2026, but the delivery method has shifted. Rather than a rigid checklist delivered by a human SDR, AI agents embed BANT questions into natural conversation across SMS, voice, RCS, and webchat. The AI captures structured answers in real time, routes qualified leads immediately, and places others in nurture sequences without human intervention. The result is consistent BANT application across every lead, not just the ones a rep happens to prioritize.<\/p>\n<h3>What is speed to lead and why does it matter for qualification?<\/h3>\n<p>Speed to lead is the time between a prospect expressing interest and receiving a meaningful first contact from your team. Lead quality degrades rapidly after the first few minutes of inquiry. Responding within one minute can increase conversion rates by nearly 400% compared to delayed responses, and the chance of qualifying a lead drops sharply after the first five minutes. For high-volume operations, manual processes cannot achieve the response times that convert, which makes AI-powered qualification systems that respond in seconds operationally necessary.<\/p>\n<h3>What compliance frameworks apply to AI-powered lead qualification?<\/h3>\n<p>AI-powered lead qualification in the U.S. operates within several overlapping regulatory frameworks. The Telephone Consumer Protection Act (TCPA, 47 U.S.C. \u00a7 227) addresses automated outbound calls and texts.<sup data-disclaimer-id=\"23\" data-disclaimer-index=\"2\">2<\/sup> The Do Not Call (DNC) registry limits outbound contact to consumers who have opted out. HIPAA (45 CFR Parts 160, 162, 164) applies when protected health information is involved. State-level rules, including mini-TCPA statutes in Florida and others, add additional requirements around consent, call recording, and disclosure. Organizations should consult qualified legal counsel to understand their specific obligations. Plura&#8217;s platform includes built-in tools that support compliance workflows, including real-time DNC scrubbing, SHAKEN\/STIR caller ID verification, immutable consent logging, and quiet-hours enforcement.<\/p>\n<h3>How does AI lead enrichment improve qualification accuracy?<\/h3>\n<p>AI lead enrichment pulls verified data from multiple sources, including firmographics, contact validation, intent signals, property data, and behavioral history, in real time during the first conversation. This gives the qualification engine a complete picture of the lead before a rep ever picks up the phone. Enriched leads move faster through the sales funnel, and enriched contact data reduces wasted outreach on invalid numbers or emails. The practical result is higher qualification accuracy, lower cost per qualified lead, and reps who spend more time closing and less time researching.<\/p>\n<h2>Conclusion: A 7-Step Framework Built for 2026 Pipelines<\/h2>\n<p>The traditional lead qualification process, with manual BANT checklists, batch enrichment, hours-long response times, and siloed channels, cannot meet the conversion economics that 2026 demands. The 7-step AI-powered framework described here replaces each manual step with a real-time, automated equivalent: ICP definition, 30+ source enrichment, AI-augmented BANT\/MEDDIC\/CHAMP scoring, dynamic lead scoring, instant routing, compliance guardrails, and speed-to-lead measurement.<\/p>\n<p>Plura AI is a U.S.-based, carrier-grade platform that executes the full lead qualification process in under 5 seconds across voice, <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">AI SMS<\/a>, RCS, and <a href=\"https:\/\/plura.ai\/plura-webchat\" target=\"_blank\" rel=\"noindex nofollow\">AI webchat<\/a>, with SHAKEN\/STIR caller ID verification, support for TCPA and DNC compliance workflows, HIPAA support, SOC 2, and ISO certification built into the platform.<sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup> Every conversation feeds a stateful database, so context carries across every channel and every touchpoint.<\/p>\n<p><a href=\"https:\/\/plura.ai\/plura-webchat\" target=\"_blank\" rel=\"noindex nofollow\">Book a live demo with Plura and see the full 7-step qualification framework running on your lead volume.<\/a><\/p>\n<hr data-disclaimer-divider=\"true\">\n<div data-disclaimer-footer=\"true\">\n<p data-disclaimer-id=\"22\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"1\">1<\/sup> Plura AI maintains SOC 2, HIPAA, ISO, and GDPR posture as part of its platform infrastructure. References to compliance frameworks in this article describe Plura\u2019s platform capabilities and do not constitute a guarantee that any customer using Plura will themselves be compliant with applicable laws or standards. Customers remain solely responsible for their own regulatory obligations, certifications, consent management, recordkeeping, and the claims they make to their own end users. Consult qualified legal counsel for guidance specific to your use case.<\/p>\n<p data-disclaimer-id=\"23\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"2\">2<\/sup> This article describes regulatory frameworks at a general level and does not constitute legal advice. Laws and regulations vary by jurisdiction, change over time, and apply differently depending on facts and circumstances. Readers should consult qualified legal counsel before making compliance decisions.<\/p>\n<p data-disclaimer-id=\"24\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"3\">3<\/sup> Performance figures, customer outcomes, and industry statistics referenced in this article are drawn from cited third-party sources or Plura customer case studies. Individual results vary based on implementation, use case, industry, audience, and execution. Past or aggregate performance is not a guarantee of future results.<\/p>\n<p data-disclaimer-id=\"25\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"4\">4<\/sup> References to third-party products, services, companies, or research are made for informational and comparative purposes only. Plura AI is not affiliated with, endorsed by, or sponsored by any third party named in this article unless explicitly stated. Trademarks and product names referenced remain the property of their respective owners.<\/p>\n<p data-disclaimer-id=\"26\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"5\">5<\/sup> This article contains forward-looking statements regarding industry trends, technology adoption, and future capabilities. These statements reflect current expectations and are subject to change. Plura AI undertakes no obligation to update forward-looking statements except as required.<\/p>\n<p data-disclaimer-id=\"21\" data-disclaimer-type=\"fixed\">This article is provided for informational purposes only and reflects Plura AI\u2019s understanding at the time of publication. Product capabilities, integrations, and specifications are subject to change. For the most current information, visit plura.ai.<\/p>\n<p data-disclaimer-id=\"27\" data-disclaimer-type=\"fixed\">This article was produced with the assistance of AI tools and reviewed by Plura AI prior to publication.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Plura AI qualifies leads in seconds across voice, SMS, RCS, and webchat. Score, enrich, and route high-potential prospects before competitors call.<\/p>\n","protected":false},"author":106,"featured_media":1232,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-1233","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-lead-intelligence"],"_links":{"self":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/1233","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/comments?post=1233"}],"version-history":[{"count":0,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/1233\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media\/1232"}],"wp:attachment":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media?parent=1233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/categories?post=1233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/tags?post=1233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}