{"id":79082,"date":"2026-01-20T10:11:03","date_gmt":"2026-01-20T10:11:03","guid":{"rendered":"https:\/\/newonclusivstg.wpengine.com\/?p=79082"},"modified":"2026-05-21T09:10:28","modified_gmt":"2026-05-21T09:10:28","slug":"ai-media-monitoring","status":"publish","type":"post","link":"https:\/\/onclusive.com\/en-gb\/resources\/blog\/ai-media-monitoring\/","title":{"rendered":"AI Media Monitoring: How Artificial Intelligence Is Changing PR"},"content":{"rendered":"\n<section\n    class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<p><span style=\"font-weight: 400;\">AI media monitoring is changing how PR and communications teams track coverage, analyze sentiment, and respond to emerging issues. By automating tasks that were once manual and time-consuming, artificial intelligence enables teams to work at greater scale while focusing more time on strategy and interpretation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Rather than replacing traditional media monitoring, AI enhances it. Understanding how AI-powered media monitoring works helps PR teams make better use of data, respond faster to risks, and generate insights that would be difficult to uncover through manual analysis alone. For a broader overview of the fundamentals, our guide to <\/span><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/onclusive.com\/en-gb\/resources\/blog\/what-is-media-monitoring-guide\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">what media monitoring is<\/span><\/a><\/span><span style=\"font-weight: 400;\"> explains the concept in more detail and how it fits into modern PR and communications workflows.<\/span><\/p>\n<p><b>In simple terms:<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI media monitoring uses artificial intelligence to automatically collect, enrich, analyze, and prioritize media coverage. This helps PR teams assess sentiment, identify trends, and respond faster to emerging issues across news, broadcast, print, and social media.<\/span><\/p>\n<p>&nbsp;<\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"what\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>What is AI media monitoring?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI media monitoring refers to the use of artificial intelligence and machine learning to support the collection, filtering, analysis, and reporting of media coverage.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In practice, AI is applied to tasks such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying relevant mentions across very large volumes of content<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enriching coverage with metadata such as entities, topics, and sentiment<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Prioritizing coverage based on relevance and potential impact<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Detecting patterns and trends across time, channels, and regions<\/span><\/li>\n<\/ul>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"how\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>How AI media monitoring works<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI media monitoring builds on the <span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/onclusive.com\/en-gb\/resources\/blog\/how-media-monitoring-works\/\" target=\"_blank\" rel=\"noopener\">core media monitoring process<\/a><\/span>, which involves defining what to track, collecting coverage across channels, filtering for relevance, and analyzing results to inform action.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI media monitoring follows the same overall workflow as traditional media monitoring, but with artificial intelligence supporting key stages of the process:<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>AI in media collection<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI enables platforms to process extremely large volumes of content across online news, broadcast, print, and social media. Advanced content recognition and language detection allow systems to ingest and standardize coverage from thousands of sources worldwide, often within seconds of publication. This makes near real-time monitoring possible across multiple markets, formats, and languages.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This capability is particularly important for television and radio, where transcription, enrichment, and analysis require specialized technology.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This capability is particularly important for television and radio, where transcription, enrichment, and analysis require specialized technology. For a deeper look at how this works in practice, see our guide to <\/span><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/onclusive.com\/en-gb\/resources\/blog\/broadcast-media-monitoring\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">broadcast media monitoring.<\/span><\/a><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Understanding how media is produced and consumed across formats helps inform effective monitoring and AI workflows, a topic explored in research from the<\/span><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.pewresearch.org\/global\/2025\/10\/15\/how-people-around-the-world-view-ai\/?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\"> Pew Research Center<\/span><\/a><\/span><span style=\"font-weight: 400;\"> on technology and news trends.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>AI in filtering and relevance<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">One of the biggest challenges in media monitoring is separating meaningful coverage from noise.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI supports this by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scoring mentions for relevance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying patterns that align with monitoring objectives<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automatically enriching coverage with consistent tags and classifications<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This reduces manual filtering and helps teams focus attention on the coverage that matters most.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>AI in sentiment and context analysis<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI-powered sentiment analysis evaluates the tone of media coverage at scale. Machine learning models assess language patterns to classify mentions as positive, negative, or neutral, while also recognizing entities and topics within each item.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although this significantly improves speed and consistency, human review remains important for nuanced, ambiguous, or high-risk coverage.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>AI in topic and trend detection<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI excels at identifying recurring themes and emerging trends across very large data sets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By analyzing coverage over time, AI media monitoring can surface:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Shifts in narrative<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Emerging reputational risks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Changes in how key topics are framed<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This ability to detect trends early is one of the most valuable ways AI supports proactive PR.<\/span><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"day\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>How AI is changing PR day-to-day<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI media monitoring has a clear impact on daily PR workflows. <\/span><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.prsa.org\/article\/how-ai-is-driving-pr-innovation-ST-June25\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Industry research<\/span><\/a><\/span><span style=\"font-weight: 400;\"> shows that artificial intelligence is transforming public relations by enabling practitioners to innovate how they craft narratives, reach audiences, and measure impact, with AI acting as a collaborative partner that accelerates creative and strategic work while preserving human insight.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, when monitoring a global product launch across dozens of markets, AI media monitoring can automatically surface early coverage trends, flag shifts in sentiment by region, and highlight high-impact stories for immediate review. This allows PR teams to adjust messaging or response strategies in near real time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In practice, it enables:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Faster awareness of breaking coverage across channels<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automated enrichment and summarization of media mentions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More consistent analysis across regions and languages<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improved prioritization of high-impact or high-risk stories<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">By processing and enriching content rapidly after capture, AI helps teams move from awareness to insight more quickly, without increasing manual workload.<\/span><\/p>\n<p><a href=\"https:\/\/onclusive.com\/en-gb\/products\/media-monitoring\/\" target=\"_blank\" rel=\"noopener\"><img fetchpriority=\"high\" decoding=\"async\" fetchpriority=\"high\" class=\" wp-image-79061 alignleft\" src=\"https:\/\/onclusive.com\/wp-content\/uploads\/2026\/01\/AI-media-monitoring.svg\" alt=\"AI Media Monitoring by Onclusive delivers insights PR teams need to act fast. Arrange a demo.\" width=\"765\" height=\"347\" \/><\/a><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"do\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>What AI can and can\u2019t do in media monitoring<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI brings clear advantages, but it works best alongside human expertise.<\/span><\/p>\n<p><b>What AI does well:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Processes and enriches large volumes of media content quickly<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Applies consistent tagging, sentiment classification, and topic analysis<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifies trends and patterns across time and channels<\/span>&nbsp;<\/li>\n<\/ul>\n<p><b>Where human judgment still matters:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Interpreting tone in complex or sensitive situations<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Assessing reputational risk and context<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Making strategic decisions based on insight<\/span>&nbsp;<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Effective AI media monitoring supports PR teams rather than replacing them.<\/span><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"role\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>The role of AI in measurement and reporting<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI also plays an important role in improving measurement and reporting.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By automating data processing and enrichment, AI helps teams:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Track performance across campaigns, markets, and time periods<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Surface insights more efficiently<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Focus reporting on outcomes rather than raw volume<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These outputs are most effective when aligned with established approaches to communications measurement and evaluation, ensuring that media data supports meaningful decision-making. In practice, many PR teams use <\/span><a href=\"https:\/\/onclusive.com\/en-gb\/products\/media-monitoring\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\"><span style=\"color: #0000ff;\">AI-enabled media monitoring platforms<\/span><\/span><\/a><span style=\"font-weight: 400;\"> to automate analysis and reporting at scale, reducing manual effort while improving speed and consistency.<\/span><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"fits\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>How AI media monitoring fits into a modern PR strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI media monitoring increasingly underpins modern PR strategies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It supports:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Always-on, real-time monitoring<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Proactive issue and risk detection<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Faster insight generation for planning and evaluation<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration with broader media intelligence and analytics<\/span>&nbsp;<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As expectations for speed, accuracy, and accountability continue to rise, AI enables PR teams to meet those demands without adding complexity.<\/span><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n  id=\"faq\"  class=\"block-pcon\">\n\n      \n\t\t\t<div class=\"post_content--wrapper\">\n\t\t\t\t<div class=\"post_content--copy  \">\n\t\t\t\t\t<div class=\"post_content--copy-inner-wrapper\">\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"post_content-copy-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t  \t\t<h2><b>Frequently Asked Questions<\/b><\/h2>\n<h3><b>What&#8217;s the difference between AI media monitoring and traditional media monitoring?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Traditional media monitoring relies heavily on manual processes for collection, filtering, and analysis. AI media monitoring automates these tasks using machine learning and natural language processing, enabling teams to process far larger volumes of content in real time. While traditional monitoring might take hours to analyze coverage across multiple markets, AI can do this in seconds while maintaining consistency. The key difference is scale and speed\u2014AI doesn&#8217;t replace the fundamentals of media monitoring but makes them faster, more scalable, and more analytical.<\/span><\/p>\n<h3><b>How do I get started with AI media monitoring for my organization?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Start by defining clear monitoring objectives: what you want to track, which channels matter most, and what outcomes you&#8217;re trying to achieve. Next, identify the key metrics that align with your communication goals\u2014whether that&#8217;s sentiment trends, share of voice, or early risk detection. When selecting a platform, look for one that integrates with your existing workflows and provides the level of automation your team needs. Most organizations begin with a pilot focused on a specific brand, campaign, or market before scaling across the organization.<\/span><\/p>\n<h3><b>Can AI media monitoring handle multiple languages and markets simultaneously?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yes. AI media monitoring platforms can process content in dozens of languages simultaneously, applying consistent analysis across all markets. This is particularly valuable for global brands and agencies that need to monitor coverage across regions without hiring multilingual analysts for every market. Advanced platforms can detect language automatically, apply sentiment analysis in the original language, and provide translated summaries where needed\u2014all while maintaining analytical consistency across markets.<\/span><\/p>\n<h3><b>When should I rely on AI analysis versus human review?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Use AI for tasks that require speed, scale, and consistency: sorting large volumes of mentions, identifying sentiment trends, detecting patterns, and generating alerts. Rely on human review for nuanced or high-stakes situations where context, tone, and strategic implications matter most\u2014such as crisis situations, sensitive topics, or coverage that could significantly impact reputation. The most effective approach combines both: AI handles the heavy lifting of data processing and pattern detection, while humans focus on interpretation and strategic decision-making.<\/span><\/p>\n<h3><b>How does AI improve crisis communications and reputation management?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI enables faster detection and response during crises by monitoring coverage continuously and alerting teams to sudden changes in volume, sentiment, or narrative. During a crisis, AI can process incoming coverage in real time, identify which stories are gaining traction, and flag high-risk mentions that require immediate attention. This speed is critical when response time can determine the outcome. AI also helps teams track how a crisis evolves across different markets and channels, providing the visibility needed to coordinate response efforts effectively.<\/span><\/p>\n \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n<\/section> \n\n\n\n\n\n<section\n    class=\"block-pcon\">\n\n      \n<\/section> \n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":18,"featured_media":78753,"comment_status":"closed","ping_status":"open","sticky":false,"template":"blog-post-new-template.php","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"audience":[],"topic":[1353,1335,1426,1191],"region":[],"class_list":["post-79082","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","topic-ai-innovation-en-gb","topic-brand-reputation-management-en-gb","topic-media-monitoring-en-gb","topic-pr-and-comms-en-gb"],"acf":[],"_links":{"self":[{"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/posts\/79082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/comments?post=79082"}],"version-history":[{"count":0,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/posts\/79082\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/media\/78753"}],"wp:attachment":[{"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/media?parent=79082"}],"wp:term":[{"taxonomy":"audience","embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/audience?post=79082"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/topic?post=79082"},{"taxonomy":"region","embeddable":true,"href":"https:\/\/onclusive.com\/en-gb\/wp-json\/wp\/v2\/region?post=79082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}