{"id":2567,"date":"2025-07-28T08:42:37","date_gmt":"2025-07-28T08:42:37","guid":{"rendered":"https:\/\/crowdo.net\/blog\/?p=2567"},"modified":"2025-07-29T08:54:54","modified_gmt":"2025-07-29T08:54:54","slug":"helpful-content-update-traffic-loss-2025","status":"publish","type":"post","link":"https:\/\/crowdo.net\/blog\/helpful-content-update-traffic-loss-2025\/","title":{"rendered":"Lost Traffic After the Helpful Content Update? You\u2019re Not Alone"},"content":{"rendered":"\n

\u201cYou\u2019re Not Alone\u201d: The Widespread Impact of the HCU<\/strong><\/h2>\n\n\n\n

The Helpful Content Update (HCU) has quietly become one of the most disruptive Google updates in recent years. While it didn\u2019t carry the name \u201cCore\u201d or \u201cSpam\u201d update, its effect has been anything but soft. Across thousands of websites \u2014 from affiliate blogs to AI-generated content farms \u2014 traffic collapsed seemingly overnight.<\/p>\n\n\n\n

By mid-2024, digital publishers, SEOs, and niche site operators began reporting traffic losses ranging from 30% to 90%. And in 2025, the trend continued. Some Reddit communities and SEO forums became digital therapy sessions, flooded with posts titled \u201cMy site is dead\u201d and \u201cDid anyone survive the HCU?\u201d<\/p>\n\n\n\n

This isn\u2019t just a technical penalty \u2014 it\u2019s a realignment of content expectations. Google has shifted from tolerating \u201csearch-optimized\u201d content to requiring truly helpful, human-centered experiences. Thin content, rewritten AI posts, and faceless product reviews are now being filtered out.<\/p>\n\n\n\n

The message is clear: the era of content volume is over. We\u2019re entering the age of content purpose<\/strong> \u2014 and if your site got hit, you\u2019re far from alone.<\/p>\n\n\n\n

\"\"\/<\/figure>\n\n\n\n

What Is the Helpful Content System Really Looking For?<\/strong><\/h2>\n\n\n\n

Google\u2019s Helpful Content System (HCS) isn\u2019t just another tweak \u2014 it\u2019s a systemic reevaluation of what quality means in search. Instead of rewarding keyword-stuffed or templated content, HCS favors web pages that deliver unique, experience-driven value.<\/p>\n\n\n\n

\u2705 Helpful content<\/strong> meets user intent, offers clarity, and demonstrates expertise. It includes:<\/p>\n\n\n\n

    \n
  • Firsthand experience from a real person or expert.
    <\/li>\n\n\n\n
  • Contextual insight \u2014 not just a summary of what’s already online.
    <\/li>\n\n\n\n
  • Clear formatting, logical structure, and relevance.
    <\/li>\n\n\n\n
  • Signals of topical authority like schema markup, internal linking, and author profiles.
    <\/li>\n<\/ul>\n\n\n\n

    \u26a0\ufe0f By contrast, \u201cthin\u201d content<\/strong> is often:<\/p>\n\n\n\n

      \n
    • Mass-produced by AI without real editorial input.
      <\/li>\n\n\n\n
    • Lacking internal links or structured formatting.
      <\/li>\n\n\n\n
    • Published without clear authorship or maintenance.
      <\/li>\n\n\n\n
    • Unlikely to earn citations in generative engines like Perplexity or AI Overviews.
      <\/li>\n<\/ul>\n\n\n\n

      As generative search systems evolve, so do their inclusion signals. We\u2019re now optimizing not just for ranking, but for Answer Equity<\/strong> and Generative Link Presence<\/strong> \u2014 the ability for your site to be cited in AI outputs. Pages that are too generic or \u201cuntrusted\u201d won\u2019t survive this filter.<\/p>\n\n\n\n

      Helpful vs. Thin Content: Key Signals<\/strong><\/h3>\n\n\n\n
      \u2705 Helpful Content<\/strong><\/td>\u26a0\ufe0f Thin Content<\/strong><\/td><\/tr>
      Firsthand experience & expert authorship<\/td>No author or editorial attribution<\/td><\/tr>
      Original insights or unique perspectives<\/td>Rewritten summaries from top-ranking pages<\/td><\/tr>
      Structured format (FAQs, TL;DRs, bullet points)<\/td>Wall of text or incoherent flow<\/td><\/tr>
      Contextual internal linking<\/td>Orphaned pages or spammy outbound links<\/td><\/tr>
      Updated regularly and maintained<\/td>Outdated and forgotten<\/td><\/tr>
      LLM-ready summaries and clear schema<\/td>No snippet engineering or structured data<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

      Industries and Sites That Were Hit the Hardest<\/strong><\/h2>\n\n\n\n

      The Helpful Content Update (HCU) wasn\u2019t just a gentle algorithmic adjustment \u2014 it was a seismic shock for entire verticals. While no industry was immune, certain types of websites were hit disproportionately hard, especially those built for scale, not substance.<\/p>\n\n\n\n

      According to aggregate data from Sistrix and Semrush (2023\u20132025), the most affected niches included:<\/p>\n\n\n\n

      \ud83d\udcca Industry<\/strong><\/td>\u26a0\ufe0f Avg. Traffic Drop<\/strong><\/td><\/tr>
      Affiliate Product Reviews<\/td>-58%<\/td><\/tr>
      AI-Generated Content Farms<\/td>-51%<\/td><\/tr>
      Travel Aggregators<\/td>-42%<\/td><\/tr>
      Finance\/Insurance Lead Gen<\/td>-37%<\/td><\/tr>
      Niche “How-To” Blogs<\/td>-33%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

      Why these sectors? Because they share common weaknesses:<\/p>\n\n\n\n

        \n
      • High reliance on templated content.
        <\/li>\n\n\n\n
      • Thin or duplicated articles.
        <\/li>\n\n\n\n
      • Low Generative Brand Density<\/strong> \u2014 meaning the brand wasn\u2019t consistently cited across trustworthy surfaces like Quora, Reddit, or niche forums.
        <\/li>\n\n\n\n
      • Overuse of exact-match anchors and aggressive keyword targeting without depth.
        <\/li>\n<\/ul>\n\n\n\n

        Experts like Lily Ray<\/strong> and Glenn Gabe<\/strong> have repeatedly noted that even sites with technically “unique” AI-generated content lost rankings if their authority signals and behavioral metrics didn\u2019t back it up.<\/p>\n\n\n\n

        Many affiliate sites, for instance, scaled with 5,000+ product pages and blog posts generated by AI \u2014 but failed to build any GEO-native visibility<\/strong>. Their brands were invisible in generative responses, and they lacked Echo Backlinks<\/strong> or natural citations in real community discussions.<\/p>\n\n\n\n

        One key insight<\/em>: AI-driven ranking systems (both Google\u2019s and LLMs\u2019) increasingly cross-reference signals. If you’re not mentioned consistently in user spaces \u2014 or if users bounce quickly from your pages \u2014 you send \u201cunhelpful\u201d signals, no matter how optimized your H1 looks.<\/p>\n\n\n\n

        Pro Tip<\/strong>: Don\u2019t just chase keywords. Chase relevance, citation potential, and brand conversation loops across platforms that train LLMs.<\/p>\n\n\n\n

        Thin AI Content and the Myth of Scaling with Volume<\/h2>\n\n\n\n

        One of the most persistent myths in modern SEO is that more pages = more traffic. That may have worked \u2014 briefly \u2014 in the early days of programmatic SEO and content automation. But post-HCU, it\u2019s become one of the riskiest strategies in the game.<\/p>\n\n\n\n

        Many publishers embraced AI tools to scale fast. They generated thousands of low-cost articles, hoping that sheer volume would win SERP real estate. What they missed is that Google no longer just checks for unique strings of text<\/em>. It\u2019s evaluating intent<\/em>, engagement<\/em>, and whether your site carries a meaningful LLM Confidence Bias<\/strong>.<\/p>\n\n\n\n

        Let\u2019s break it down:<\/p>\n\n\n\n

        Strategy<\/strong><\/td>Why It Fails in 2025<\/strong><\/td><\/tr>
        5,000 AI-generated blog posts<\/td>Lacks engagement metrics and human signals<\/td><\/tr>
        Mass keyword stuffing<\/td>Triggers unhelpful content classification<\/td><\/tr>
        Rewriting others\u2019 content<\/td>Fails originality and usefulness thresholds<\/td><\/tr>
        Publishing without backlinks<\/td>No Generative Link Presence<\/strong> or trust signals<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

        The reality is: thin content, even if technically \u201cunique,\u201d rarely earns links, mentions, or Answer Equity<\/strong>. It gets ignored by users and deprioritized by AI-driven search systems.<\/p>\n\n\n\n

        Google\u2019s systems have evolved to track content that attracts citations and holds attention. Without genuine backlinks \u2014 especially those placed in contexts LLMs actually crawl (e.g. Reddit threads, Quora discussions, newsletters, and media coverage) \u2014 even your most keyword-rich article will be invisible to the model.<\/p>\n\n\n\n

        A common trap: publishing \u201c50 blog posts per month\u201d with zero promotion or distribution. If no one reads, shares, or references them, the algorithm has no reason to rank them \u2014 and no AI has a reason to reuse them.<\/p>\n\n\n\n

        This is where Generative Brand Density<\/strong> comes into play. It’s not just about backlinks \u2014 it’s about how often your brand is seen across the web, and in what context.<\/p>\n\n\n\n

        What to Do Instead<\/strong>:<\/p>\n\n\n\n

          \n
        • Prioritize quality over volume.
          <\/li>\n\n\n\n
        • Invest in backlink infusion<\/em> through outreach, digital PR, and foundation links<\/strong>.
          <\/li>\n\n\n\n
        • Add LLM Meta Answers<\/strong> and structure your intros like snippets.
          <\/li>\n\n\n\n
        • Track performance not just by traffic, but by inclusion in AI responses.
          <\/li>\n<\/ul>\n\n\n\n

          \ud83d\udca1 In 2025, the winners aren\u2019t those who published the most. They\u2019re the ones who were most quotable.<\/p>\n\n\n\n

          Case Studies: What Tanked and What Recovered<\/h2>\n\n\n\n

          The aftermath of the Helpful Content Update (HCU) offers no shortage of cautionary tales. But among the wreckage, there are also a few recovery stories that deserve a closer look. Let\u2019s break down two contrasting examples \u2014 one that tanked, and one that bounced back \u2014 to understand the anatomy of loss and resilience.<\/p>\n\n\n\n

          Case 1: AI Template Site That Failed to Recover<\/strong><\/p>\n\n\n\n

          This affiliate blog scaled fast with over 10,000 articles published between 2023 and early 2024, all built with minimal human oversight using generic AI templates. Despite initial traffic spikes, the site had:<\/p>\n\n\n\n

            \n
          • 0 editorial links
            <\/li>\n\n\n\n
          • No user engagement or time-on-page signals
            <\/li>\n\n\n\n
          • No EEAT (Experience, Expertise, Authoritativeness, Trust)
            <\/li>\n\n\n\n
          • High bounce rate and duplicate paragraphs across pages
            <\/li>\n<\/ul>\n\n\n\n

            The site was hit hard in HCU September 2023, lost 80% of organic traffic, and despite removing over 6,000 pages, failed to regain rankings.<\/p>\n\n\n\n

            Case 2: Recovery Through Content Engineering<\/strong><\/p>\n\n\n\n

            In contrast, a niche SaaS brand saw a 60% dip after the March 2024 core update. But it recovered within 90 days by:<\/p>\n\n\n\n

              \n
            • Performing a complete Content Audit<\/strong> of blog and landing pages
              <\/li>\n\n\n\n
            • Adding LLM Meta Answers<\/strong> and FAQ sections
              <\/li>\n\n\n\n
            • Rewriting content for GEO-native visibility<\/strong> and Answer Equity<\/strong>
              <\/strong><\/li>\n\n\n\n
            • Securing editorial links through outreach and user citations on Quora and Reddit
              <\/li>\n\n\n\n
            • Building a new internal link system using Context Flow Backlinks
              <\/li>\n<\/ul>\n\n\n\n

              Their strategy exemplified Adaptive Backlinking<\/strong> and targeted Generative Link Presence<\/strong> \u2014 helping the site not only recover, but appear in AI Overviews for niche queries.<\/p>\n\n\n\n

              \n\n\n\n

              Before \/ After\u00a0<\/strong><\/h4>\n\n\n\n
              Site Type<\/strong><\/td>Traffic (Before)<\/strong><\/td>Traffic (After)<\/strong><\/td>Links<\/strong><\/td>AI Inclusion<\/strong><\/td>Outcome<\/strong><\/td><\/tr>
              AI Template Blog<\/td>150K\/month<\/td>30K\/month<\/td>0 editorial<\/td>None<\/td>Failed Recovery<\/td><\/tr>
              SaaS Knowledge Blog<\/td>80K\/month<\/td>95K\/month<\/td>25 editorial<\/td>High<\/td>Full Recovery<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

              What \u201cHelpful\u201d Means to Google in 2025<\/h2>\n\n\n\n

              By now, most SEOs have internalized that \u201chelpful\u201d no longer means \u201clong-form\u201d or \u201ckeyword-rich.\u201d In 2025, Google\u2019s definition of helpful content revolves around utility, trust signals,<\/em> and AI readiness<\/em>. And yes \u2014 the Helpful Content System has evolved far beyond superficial rules.<\/p>\n\n\n\n

              According to Google\u2019s documentation in Search Central, helpful content is:<\/p>\n\n\n\n

                \n
              • Written for people first<\/em> (not for search engines)
                <\/li>\n\n\n\n
              • Demonstrates first-hand experience<\/em>
                <\/em><\/li>\n\n\n\n
              • Aligned with the user’s search intent<\/em>
                <\/em><\/li>\n\n\n\n
              • Structured clearly \u2014 in simple, predictable formats
                <\/li>\n\n\n\n
              • Reinforced by trust signals like links, mentions, and engagement
                <\/li>\n<\/ul>\n\n\n\n

                But in the AI-driven ecosystem, \u201chelpfulness\u201d also means being machine-readable and snippet-friendly<\/em>. Pages that do well in AI Overviews, ChatGPT and Perplexity typically include:<\/p>\n\n\n\n

                  \n
                • LLM Meta Answers<\/strong>: concise paragraphs directly answering common queries
                  <\/li>\n\n\n\n
                • Clear structure<\/strong>: logical headings, bullet points, and schema markup
                  <\/li>\n\n\n\n
                • Consistent context<\/strong>: terminology and tone that reflects brand expertise
                  <\/li>\n<\/ul>\n\n\n\n

                  This AI-facing clarity also supports Answer Equity<\/strong> \u2014 your share of voice in generative results. In other words, it\u2019s not just about being visible, but being quotable.<\/p>\n\n\n\n

                  To appear in LLM-generated responses, your content must train the model, not just rank in SERPs. That\u2019s where GEO-native visibility<\/strong> enters the picture. Google and other LLMs learn from multiple inputs \u2014 Reddit, Quora, FAQs, and schema \u2014 and helpful content is that which appears repeatedly, consistently, and contextually across all of them.<\/p>\n\n\n\n

                  Table: What Google Now Considers “Helpful” in 2025<\/strong><\/h4>\n\n\n\n
                  Attribute<\/strong><\/td>Pre-2022 View<\/strong><\/td>2025 Helpful Standard<\/strong><\/td><\/tr>
                  Content Length<\/td>Long-form = better<\/td>Directly answers query within first 2\u20133 sentences<\/td><\/tr>
                  Keyword Use<\/td>Exact match in title<\/td>Semantic intent across subheadings<\/td><\/tr>
                  Author Signals<\/td>Optional<\/td>Authorship, EEAT, About Pages, Reviews<\/td><\/tr>
                  Link Profile<\/td>DR-focused links<\/td>Generative Link Presence<\/strong>, backlinks + mentions<\/td><\/tr>
                  Content Format<\/td>SEO blogpost structure<\/td>TL;DRs, FAQs, How-To schema, LLM Meta Answer<\/strong> blocks<\/td><\/tr>
                  User Engagement<\/td>Time on site<\/td>Scroll depth, click interaction, bounce + retention<\/td><\/tr>
                  AI Visibility<\/td>Not considered<\/td>Answer Equity<\/strong>, GEO-native visibility<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                  \"\"\/<\/figure>\n\n\n\n

                  Why Links Still Matter \u2014 Especially for AI-Flagged Content<\/h2>\n\n\n\n

                  Despite Google’s increasing focus on content quality and user intent, backlinks remain one of the most powerful signals of trust, authority, and legitimacy \u2014 especially when your content has been flagged by the Helpful Content Update (HCU).<\/p>\n\n\n\n

                  When a site experiences a ranking drop due to low-quality, AI-generated, or thin content, links act as external validation<\/strong>. They say: \u201cThis page is still trusted.\u201d And in 2025, it’s not just about traditional DR or the number of backlinks \u2014 it\u2019s about how generative systems<\/em> interpret those links.<\/p>\n\n\n\n

                  That\u2019s where Generative Link Presence<\/strong> comes in: being referenced (not just linked) in places that feed large language models. These include:<\/p>\n\n\n\n

                    \n
                  • Reddit threads that earn upvotes and citations
                    <\/li>\n\n\n\n
                  • Quora answers that align with TL;DR formats
                    <\/li>\n\n\n\n
                  • High-trust blogs and curated content hubs
                    <\/li>\n\n\n\n
                  • YouTube video descriptions and transcripts
                    <\/li>\n\n\n\n
                  • Schema-enhanced FAQ pages
                    <\/li>\n<\/ul>\n\n\n\n

                    Unlike standard SEO metrics, these references aren\u2019t just crawled \u2014 they\u2019re trained on.<\/strong> So even if Google penalizes a weak article, consistent off-page trust signals can preserve or restore its inclusion in AI-generated summaries.<\/p>\n\n\n\n

                    Also important is Backlink Infusion<\/strong> \u2014 links embedded into content in a way that supports the surrounding narrative. These aren’t isolated URLs stuck into footers. They live in paragraphs, FAQs, how-to lists, or product explanations \u2014 enhancing clarity and relevance for both users and machines.<\/p>\n\n\n\n

                    Table: Why Real Backlinks Still Matter (2025 Context)<\/strong><\/h4>\n\n\n\n
                    Benefit<\/strong><\/td>Traditional SEO<\/strong><\/td>LLM-Oriented Search<\/strong><\/td><\/tr>
                    Indexation & Crawlability<\/td>\u2714\ufe0f Ensures page discovery<\/td>\u2714\ufe0f Same function remains<\/td><\/tr>
                    DR\/Authority Boost<\/td>\u2714\ufe0f PageRank value<\/td>\u26a0\ufe0f Less direct impact on LLM inclusion<\/td><\/tr>
                    Ranking in SERPs<\/td>\u2714\ufe0f Keyword-based uplift<\/td>\u26a0\ufe0f Not sufficient for generative results<\/td><\/tr>
                    AI Inclusion Signal<\/td>\u274c Not considered<\/td>\u2705 Generative Link Presence<\/strong><\/td><\/tr>
                    Model Trust Reinforcement<\/td>\u274c Not tracked<\/td>\u2705 Supports Answer Equity<\/strong><\/td><\/tr>
                    Link Context Relevance<\/td>Optional<\/td>\u2705 Backlink Infusion<\/strong> required<\/td><\/tr>
                    User Engagement Support<\/td>Bonus<\/td>\u2705 Boosts engagement \u2192 LLM \u201cmemory\u201d factor<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                    From Recovery to Protection: Updating vs. Deleting<\/h2>\n\n\n\n

                    Recovering from the Helpful Content Update is not just about fixing what’s broken \u2014 it’s about proactively protecting your site from future hits. That means knowing when to update<\/strong>, when to consolidate<\/strong>, and when to delete<\/strong>.<\/p>\n\n\n\n

                    Google’s algorithm in 2025 doesn\u2019t simply look for quality content \u2014 it evaluates site-wide helpfulness<\/em>. Even a handful of low-performing or outdated pages can drag down your entire domain\u2019s trust profile. This is especially true for AI-assisted systems, where unhelpful clusters may dilute your perceived authority across generative models.<\/p>\n\n\n\n

                    That\u2019s why Content Audit<\/strong> is no longer optional \u2014 it’s a core maintenance task. This process includes:<\/p>\n\n\n\n

                      \n
                    • Identifying low-traffic or high-bounce pages
                      <\/li>\n\n\n\n
                    • Checking for duplicated or thin AI-generated content
                      <\/li>\n\n\n\n
                    • Measuring off-page support: backlinks, brand mentions, LLM-triggered visibility
                      <\/li>\n<\/ul>\n\n\n\n

                      The goal is to implement what we call Adaptive Backlinking<\/strong> \u2014 updating only the content that has the potential to recover and support long-term link presence, while decommissioning content that can\u2019t (or shouldn\u2019t) be saved.<\/p>\n\n\n\n

                      \"\"\/<\/figure>\n\n\n\n

                      Final Checklist: How to Future-Proof Against the Next HCU<\/h2>\n\n\n\n

                      Surviving the Helpful Content Update isn\u2019t the end of the journey \u2014 it\u2019s the beginning of a new content reality. In a world where AI models influence rankings and SERP visibility, future-proofing means aligning your strategy with both Google\u2019s traditional signals and generative expectations.<\/p>\n\n\n\n

                      Below is a concise, battle-tested checklist \u2014 not based on theory, but on what actually helped brands recover and thrive after the 2023\u20132025 updates.<\/p>\n\n\n\n

                      Future-Proof SEO Checklist<\/strong><\/h4>\n\n\n\n
                      Area of Optimization<\/strong><\/td>Task<\/strong><\/td>Frequency<\/strong><\/td>Notes<\/strong><\/td><\/tr>
                      Content Quality<\/strong><\/td>Audit outdated or thin content<\/td>Quarterly<\/td>Focus on usefulness, not volume<\/td><\/tr>
                      Backlink Health<\/strong><\/td>Disavow toxic links & reinforce with trusted domains<\/td>Quarterly<\/td>Prioritize Adaptive Backlinking<\/em><\/td><\/tr>
                      AI Visibility<\/strong><\/td>Track inclusion in ChatGPT, Gemini, Perplexity<\/td>Monthly<\/td>Optimize for GEO-native visibility<\/em><\/td><\/tr>
                      Meta Answers<\/strong><\/td>Add TL;DR or \u201cdirect answer\u201d summaries<\/td>Ongoing<\/td>Boost LLM Meta Answer<\/em> alignment<\/td><\/tr>
                      Prompt Optimization<\/strong><\/td>Rephrase headings as user-style questions<\/td>Monthly<\/td>Aids in Prompt-Based SERP Capture<\/em><\/td><\/tr>
                      Internal Links<\/strong><\/td>Strengthen link equity distribution<\/td>Monthly<\/td>Supports Context Flow Backlinks<\/em><\/td><\/tr>
                      Entity Reinforcement<\/strong><\/td>Use consistent descriptions across platforms<\/td>Ongoing<\/td>Trains LLMs through Answer Equity<\/em> patterns<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                      \n\n\n\n

                      \ud83e\udde0 Pro Tip:<\/strong> Use your own site search data to identify what real users are asking \u2014 then turn those questions into content sections with embedded LLM Anchor Optimization<\/em>. When combined with Generative Snippet Engineering<\/em>, this increases the likelihood your answers surface in AI summaries.<\/p>\n\n\n\n

                      Generative engines don\u2019t just crawl pages \u2014 they remember. What you publish today can become tomorrow\u2019s answer by default.<\/p>\n\n\n\n

                      Closing Thought<\/strong><\/p>\n\n\n\n

                      There\u2019s no guaranteed immunity from the next update. But SEOs who bake clarity, trust, and discoverability into their content \u2014 across both traditional rankings and generative systems \u2014 will be the ones shaping the new frontier of search.<\/p>\n\n\n\n

                      Your traffic isn\u2019t just a number anymore. It\u2019s a reflection of how well your brand trains the machine.<\/p>\n","protected":false},"excerpt":{"rendered":"

                      Many sites saw traffic collapse after Google\u2019s Helpful Content Update. Learn what went wrong, who was hit hardest, and how to rebuild for...<\/p>","protected":false},"author":3,"featured_media":2568,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[16],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/posts\/2567"}],"collection":[{"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/comments?post=2567"}],"version-history":[{"count":1,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/posts\/2567\/revisions"}],"predecessor-version":[{"id":2569,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/posts\/2567\/revisions\/2569"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/media\/2568"}],"wp:attachment":[{"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/media?parent=2567"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/categories?post=2567"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crowdo.net\/blog\/wp-json\/wp\/v2\/tags?post=2567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}