{"id":9260,"date":"2026-03-27T15:04:44","date_gmt":"2026-03-27T15:04:44","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/influencer-audit\/"},"modified":"2026-03-27T15:04:44","modified_gmt":"2026-03-27T15:04:44","slug":"influencer-audit","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/influencer-audit\/","title":{"rendered":"Influencer Audit: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Influencer Marketing"},"content":{"rendered":"\n

Influencer relationships can be one of the strongest levers in Organic Marketing<\/strong>, but only when the creator, audience, and content truly align with your brand goals. An Influencer Audit<\/strong> is the structured process of evaluating an influencer\u2019s authenticity, audience quality, brand fit, content performance, and risk profile before (and during) collaboration.<\/p>\n\n\n\n

In modern Influencer Marketing<\/strong>, surface-level metrics like follower count are easy to manipulate and often misleading. An Influencer Audit<\/strong> helps marketers make evidence-based decisions, protect brand reputation, and invest in partnerships that compound over time\u2014exactly what strong Organic Marketing<\/strong> strategy is designed to do.<\/p>\n\n\n\n

What Is Influencer Audit?<\/h2>\n\n\n\n

An Influencer Audit<\/strong> is a systematic assessment of an influencer or creator to determine whether they are a good partner for your brand and campaign objectives. It combines qualitative review (brand fit, tone, content quality) with quantitative analysis (engagement patterns, audience credibility, historical performance).<\/p>\n\n\n\n

At its core, the concept is simple: verify that the influencer\u2019s influence is real, relevant, and safe. The business meaning is even clearer\u2014an Influencer Audit<\/strong> reduces wasted spend, lowers reputational risk, and improves campaign outcomes by ensuring you\u2019re partnering with creators who can consistently drive attention and trust.<\/p>\n\n\n\n

Within Organic Marketing<\/strong>, an Influencer Audit<\/strong> supports sustainable growth. Instead of chasing one-off spikes, it prioritizes creators whose audiences match your ideal customers and whose content can deliver ongoing discovery, community engagement, and word-of-mouth. Inside Influencer Marketing<\/strong>, it acts as a due-diligence layer that informs selection, negotiation, creative direction, and measurement.<\/p>\n\n\n\n

Why Influencer Audit Matters in Organic Marketing<\/h2>\n\n\n\n

An Influencer Audit<\/strong> matters because Organic Marketing<\/strong> relies on credibility. If a creator\u2019s audience is inflated with bots, their engagement is manufactured, or their content is inconsistent with your brand values, your \u201corganic\u201d results can quickly become negative.<\/p>\n\n\n\n

Strategically, auditing gives you:<\/p>\n\n\n\n

    \n
  • Better creator selection:<\/strong> You can match audience demographics, interests, and content style to your positioning.<\/li>\n
  • Higher ROI and lower risk:<\/strong> You avoid paying for fake reach and reduce the chance of brand safety issues.<\/li>\n
  • More predictable outcomes:<\/strong> You identify creators with stable performance trends rather than volatile spikes.<\/li>\n
  • Competitive advantage:<\/strong> Teams that run a rigorous Influencer Audit<\/strong> build a repeatable creator pipeline while competitors rely on guesswork.<\/li>\n<\/ul>\n\n\n\n

    In Influencer Marketing<\/strong>, credibility is the product. Auditing protects that product by validating that a creator\u2019s influence is earned and that their community is responsive.<\/p>\n\n\n\n

    How Influencer Audit Works<\/h2>\n\n\n\n

    A practical Influencer Audit<\/strong> follows a clear workflow. The exact steps vary by brand maturity, but the logic is consistent.<\/p>\n\n\n\n

    1) Input or trigger<\/h3>\n\n\n\n

    Common triggers include:\n– Launching a new Influencer Marketing<\/strong> campaign\n– Expanding into a new region or vertical\n– Reviewing existing creators after performance changes\n– Responding to a brand safety concern or public controversy<\/p>\n\n\n\n

    Inputs typically include the creator\u2019s handle(s), platform(s), content samples, historical posts, and any first-party performance data from prior collaborations.<\/p>\n\n\n\n

    2) Analysis and validation<\/h3>\n\n\n\n

    This is the \u201cdue diligence\u201d phase. You evaluate:\n– Audience quality and credibility indicators\n– Engagement consistency and authenticity\n– Content and brand fit\n– Past collaborations and disclosure behavior\n– Risk signals (controversies, policy violations, sensitive content)<\/p>\n\n\n\n

    3) Execution and application<\/h3>\n\n\n\n

    You apply findings to decisions such as:\n– Approve, reject, or request clarification\n– Define collaboration type (gifted, affiliate, paid content, ambassador)\n– Set guardrails (talking points, do-not-say topics, disclosure requirements)\n– Structure measurement (UTMs, codes, landing pages, brand-lift surveys)<\/p>\n\n\n\n

    4) Output or outcome<\/h3>\n\n\n\n

    A strong Influencer Audit<\/strong> produces an actionable profile, not just a score. Outputs often include:\n– A shortlist ranking or tier assignment\n– Negotiation guidance (fair pricing ranges, deliverable expectations)\n– Risk notes and mitigation plan\n– Measurement plan aligned to Organic Marketing<\/strong> goals (awareness, trust, community growth)<\/p>\n\n\n\n

    Key Components of Influencer Audit<\/h2>\n\n\n\n

    A complete Influencer Audit<\/strong> blends data, process, and governance.<\/p>\n\n\n\n

    Data inputs<\/h3>\n\n\n\n
      \n
    • Platform analytics (where available): reach, impressions, audience location\/age\/gender<\/li>\n
    • Engagement data: likes, comments, shares, saves, watch time signals (if accessible)<\/li>\n
    • Content history: posting cadence, topic focus, tone, brand mentions<\/li>\n
    • Collaboration history: frequency of sponsored posts, competitor partnerships<\/li>\n
    • Community signals: comment quality, repeated commenters, sentiment themes<\/li>\n<\/ul>\n\n\n\n

      Metrics and evaluation criteria<\/h3>\n\n\n\n
        \n
      • Engagement rate and engagement quality<\/li>\n
      • Follower growth trend and anomalies<\/li>\n
      • Audience authenticity indicators (bot-like accounts, suspicious patterns)<\/li>\n
      • Brand fit score (qualitative rubric)<\/li>\n
      • Brand safety flags (content categories, past incidents)<\/li>\n<\/ul>\n\n\n\n

        Process and documentation<\/h3>\n\n\n\n
          \n
        • A repeatable checklist and scoring rubric<\/li>\n
        • A review workflow (who evaluates what, and when)<\/li>\n
        • Approval thresholds and exception handling<\/li>\n
        • A re-audit cadence for ongoing partnerships<\/li>\n<\/ul>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n

          In Influencer Marketing<\/strong>, audits are often cross-functional:\n– Marketing owns objectives, messaging, and creator strategy\n– Analytics validates performance patterns and measurement\n– Legal\/compliance reviews disclosures and contractual terms\n– Brand\/PR reviews reputational risk and sensitive topics<\/p>\n\n\n\n

          Types of Influencer Audit<\/h2>\n\n\n\n

          There aren\u2019t universally \u201cformal\u201d types, but there are practical audit approaches used in the field. The best choice depends on budget, risk tolerance, and campaign scale.<\/p>\n\n\n\n

          Pre-partnership audit (vetting)<\/h3>\n\n\n\n

          Used before outreach or contracting. It prioritizes audience credibility, brand fit, and brand safety.<\/p>\n\n\n\n

          Campaign-specific audit (fit-for-purpose)<\/h3>\n\n\n\n

          Used when objectives are narrow (e.g., app installs, webinar signups, product seeding). It focuses on platform fit, content format performance, and audience intent.<\/p>\n\n\n\n

          Ongoing partnership audit (health check)<\/h3>\n\n\n\n

          Used for ambassadors or long-term creator programs. It tracks performance consistency, audience changes, and content alignment over time\u2014ideal for Organic Marketing<\/strong> compounding effects.<\/p>\n\n\n\n

          Compliance and disclosure audit<\/h3>\n\n\n\n

          Focused on whether the creator consistently follows disclosure expectations and platform rules. This becomes critical in regulated industries.<\/p>\n\n\n\n

          Competitive conflict audit<\/h3>\n\n\n\n

          Checks for competitor mentions, recent partnerships, or category conflicts that could weaken credibility or violate exclusivity clauses.<\/p>\n\n\n\n

          Real-World Examples of Influencer Audit<\/h2>\n\n\n\n

          Example 1: DTC skincare brand building long-term organic growth<\/h3>\n\n\n\n

          A skincare company wants creators who can educate, not just entertain. Their Influencer Audit<\/strong> prioritizes:\n– Comment sentiment (do followers ask routine questions and trust answers?)\n– Content consistency (skin education vs random lifestyle posts)\n– Sponsored density (too many ads reduces authenticity)<\/p>\n\n\n\n

          Outcome: the brand selects fewer creators but builds a stronger ambassador program that drives sustained Organic Marketing<\/strong> discovery and repeat mentions.<\/p>\n\n\n\n

          Example 2: B2B SaaS using Influencer Marketing for thought leadership<\/h3>\n\n\n\n

          A SaaS company partners with niche LinkedIn creators. Their Influencer Audit<\/strong> evaluates:\n– Audience job roles and seniority indicators\n– Post format performance (carousels, long-form posts, short videos)\n– Evidence of expertise (original frameworks, case studies, credible opinions)<\/p>\n\n\n\n

          Outcome: fewer impressions than broad lifestyle creators, but higher lead quality and better pipeline influence\u2014an Influencer Marketing<\/strong> win aligned with Organic Marketing<\/strong> trust-building.<\/p>\n\n\n\n

          Example 3: Retail brand preventing fraud in a seasonal push<\/h3>\n\n\n\n

          A retail brand plans a short holiday campaign and receives pitches from fast-growing accounts. The Influencer Audit<\/strong> identifies:\n– Sudden follower spikes without matching engagement increases\n– Repetitive, generic comments suggesting automation\n– Geographic mismatch (audience not in target market)<\/p>\n\n\n\n

          Outcome: the brand avoids inflated pricing and shifts budget to creators with verified audience alignment.<\/p>\n\n\n\n

          Benefits of Using Influencer Audit<\/h2>\n\n\n\n

          An Influencer Audit<\/strong> creates advantages that show up in both performance and operations:<\/p>\n\n\n\n

            \n
          • Higher performance consistency:<\/strong> You select creators with stable engagement patterns and real community interaction.<\/li>\n
          • Better spend efficiency:<\/strong> You avoid paying premium rates for inflated reach and reduce rework from poor-fit partnerships.<\/li>\n
          • Stronger audience experience:<\/strong> Followers respond better to brand mentions that feel natural and relevant.<\/li>\n
          • Improved brand safety:<\/strong> You spot red flags early and set content guardrails.<\/li>\n
          • More scalable operations:<\/strong> Standardized audits allow agencies and teams to evaluate hundreds of creators without losing rigor.<\/li>\n<\/ul>\n\n\n\n

            Because Organic Marketing<\/strong> rewards credibility over time, audits support compounding results rather than one-off bursts.<\/p>\n\n\n\n

            Challenges of Influencer Audit<\/h2>\n\n\n\n

            Even a well-run Influencer Audit<\/strong> has limitations. Understanding them keeps expectations realistic.<\/p>\n\n\n\n

              \n
            • Limited data access:<\/strong> Many audience demographics are only visible to the creator. You may need screenshots, exports, or platform-native collaboration tools.<\/li>\n
            • False positives\/negatives:<\/strong> A creator might have low engagement due to algorithm shifts, or high engagement due to a single viral post. Context matters.<\/li>\n
            • Attribution complexity:<\/strong> In Influencer Marketing<\/strong>, outcomes like awareness and consideration are hard to attribute precisely, especially in Organic Marketing<\/strong> where conversions may happen later.<\/li>\n
            • Platform differences:<\/strong> What \u201cgood\u201d engagement looks like varies by platform, niche, and content format.<\/li>\n
            • Time and resourcing:<\/strong> Auditing thoroughly takes effort; teams often compromise when scaling quickly.<\/li>\n<\/ul>\n\n\n\n

              Best Practices for Influencer Audit<\/h2>\n\n\n\n

              Use these practices to make your Influencer Audit<\/strong> reliable and repeatable.<\/p>\n\n\n\n

              Build a scoring rubric tied to objectives<\/h3>\n\n\n\n

              Define \u201cfit\u201d based on your goals: awareness, education, community building, trials, or sales. Weight criteria accordingly instead of using one generic score.<\/p>\n\n\n\n

              Look for consistency, not perfection<\/h3>\n\n\n\n

              Prioritize stable patterns:\n– steady posting cadence\n– repeat audience interaction\n– consistent content themes\nThis is often more predictive for Organic Marketing<\/strong> than occasional viral hits.<\/p>\n\n\n\n

              Review comment quality and audience relevance<\/h3>\n\n\n\n

              Scan comments for real conversation:\n– specific questions\n– personal stories\n– meaningful feedback\nShallow \u201cnice post\u201d patterns can be a signal of low-quality engagement.<\/p>\n\n\n\n

              Validate brand safety with a structured checklist<\/h3>\n\n\n\n

              Check for:\n– prior controversies and how they were handled\n– sensitive topics that may conflict with brand values\n– content categories you avoid (varies by industry)<\/p>\n\n\n\n

              Re-audit long-term partners on a schedule<\/h3>\n\n\n\n

              Creators evolve. Make Influencer Audit<\/strong> a periodic process\u2014especially for ambassadors\u2014so your Influencer Marketing<\/strong> program doesn\u2019t drift off-brand.<\/p>\n\n\n\n

              Document decisions and learnings<\/h3>\n\n\n\n

              Capture why you approved or rejected creators. Over time, this becomes institutional knowledge that improves selection accuracy.<\/p>\n\n\n\n

              Tools Used for Influencer Audit<\/h2>\n\n\n\n

              An Influencer Audit<\/strong> is less about a single tool and more about a workflow supported by multiple systems.<\/p>\n\n\n\n

                \n
              • Analytics tools:<\/strong> Track traffic, conversions, assisted conversions, and on-site behavior from influencer-driven visits.<\/li>\n
              • Social listening and monitoring:<\/strong> Assess brand mentions, sentiment, and creator-audience conversation themes.<\/li>\n
              • Reporting dashboards:<\/strong> Centralize creator metrics, campaign performance, and trend lines for decision-making.<\/li>\n
              • CRM systems:<\/strong> Connect influencer touchpoints to leads, customers, or lifecycle stages (especially useful for B2B).<\/li>\n
              • SEO tools:<\/strong> Evaluate whether influencer content correlates with branded search lift, content discovery, and long-tail interest\u2014important in Organic Marketing<\/strong>.<\/li>\n
              • Workflow and governance systems:<\/strong> Use shared checklists, approval flows, and documentation to scale audits across teams and agencies.<\/li>\n<\/ul>\n\n\n\n

                Metrics Related to Influencer Audit<\/h2>\n\n\n\n

                Metrics should reflect both authenticity and outcomes. A good Influencer Audit<\/strong> tracks indicators across four buckets.<\/p>\n\n\n\n

                Audience quality and authenticity<\/h3>\n\n\n\n
                  \n
                • Audience location and language match (when available)<\/li>\n
                • Follower growth rate and anomaly detection<\/li>\n
                • Audience credibility signals (suspicious follower patterns, engagement-to-follower ratios)<\/li>\n<\/ul>\n\n\n\n

                  Engagement and content performance<\/h3>\n\n\n\n
                    \n
                  • Engagement rate (contextualized by platform and niche)<\/li>\n
                  • Comment quality ratio (meaningful comments vs generic)<\/li>\n
                  • Share\/save indicators (stronger intent signals than likes in many contexts)<\/li>\n
                  • Video completion or watch-time proxies (when available)<\/li>\n<\/ul>\n\n\n\n

                    Business and ROI indicators<\/h3>\n\n\n\n
                      \n
                    • Traffic to owned channels (sessions, landing page views)<\/li>\n
                    • Conversion rate from influencer-tagged traffic<\/li>\n
                    • Cost per action (lead, signup, trial, purchase)<\/li>\n
                    • Assisted conversions and multi-touch impact (important for Organic Marketing<\/strong> journeys)<\/li>\n<\/ul>\n\n\n\n

                      Brand and relationship indicators<\/h3>\n\n\n\n
                        \n
                      • Sentiment trend on posts mentioning the brand<\/li>\n
                      • Brand lift survey results (if run)<\/li>\n
                      • Repeat engagement (same users commenting across posts)<\/li>\n
                      • Creator reliability (on-time delivery, revision cycles, compliance)<\/li>\n<\/ul>\n\n\n\n

                        Future Trends of Influencer Audit<\/h2>\n\n\n\n

                        Influencer Audit<\/strong> is evolving as platforms, privacy, and creator economics change.<\/p>\n\n\n\n

                          \n
                        • AI-assisted pattern detection:<\/strong> Teams increasingly use automation to flag suspicious growth, engagement anomalies, and content risk\u2014but human review remains essential to avoid misclassification.<\/li>\n
                        • Deeper emphasis on first-party measurement:<\/strong> As tracking becomes more restricted, Influencer Marketing<\/strong> measurement will lean more on owned-site analytics, post-purchase surveys, and incrementality testing.<\/li>\n
                        • Creator-media hybrid evaluation:<\/strong> Influencers are becoming mini-publishers. Audits will assess content series potential, production consistency, and community retention\u2014key to Organic Marketing<\/strong> compounding reach.<\/li>\n
                        • Stronger compliance expectations:<\/strong> Disclosures and content claims (especially in health, finance, and kids-related categories) will push more brands to formalize audit and approval workflows.<\/li>\n
                        • Rise of niche and community creators:<\/strong> Smaller creators with high trust will continue to outperform on relevance, making audience-fit analysis a central part of any Influencer Audit<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                          Influencer Audit vs Related Terms<\/h2>\n\n\n\n

                          Influencer Audit vs Influencer Discovery<\/h3>\n\n\n\n

                          Influencer discovery is the process of finding potential creators. An Influencer Audit<\/strong> is what you do after discovery to verify fit, authenticity, and risk. Discovery builds a list; auditing decides who belongs on it.<\/p>\n\n\n\n

                          Influencer Audit vs Influencer Vetting<\/h3>\n\n\n\n

                          Vetting is often used as a synonym, but an Influencer Audit<\/strong> is typically more structured and measurable. Vetting can be informal; auditing implies documented criteria, repeatable checks, and decision outputs.<\/p>\n\n\n\n

                          Influencer Audit vs Campaign Reporting<\/h3>\n\n\n\n

                          Campaign reporting happens after posts go live to summarize performance. An Influencer Audit<\/strong> happens before (and periodically during) the relationship to improve selection and predict performance. Reporting explains results; auditing improves the odds of better results.<\/p>\n\n\n\n

                          Who Should Learn Influencer Audit<\/h2>\n\n\n\n
                            \n
                          • Marketers:<\/strong> To choose the right creators, protect brand reputation, and align Influencer Marketing<\/strong> with Organic Marketing<\/strong> goals.<\/li>\n
                          • Analysts:<\/strong> To build reliable measurement frameworks, detect anomalies, and connect creator activity to business outcomes.<\/li>\n
                          • Agencies:<\/strong> To standardize creator evaluation, defend recommendations with evidence, and scale multi-client programs efficiently.<\/li>\n
                          • Business owners and founders:<\/strong> To avoid wasting budget on inflated influence and to build authentic partnerships that strengthen trust.<\/li>\n
                          • Developers and technical teams:<\/strong> To support tracking infrastructure, dashboards, data pipelines, and privacy-respecting measurement for influencer programs.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Influencer Audit<\/h2>\n\n\n\n

                            An Influencer Audit<\/strong> is a structured evaluation of a creator\u2019s audience credibility, content quality, brand fit, performance patterns, and risk profile. It matters because Organic Marketing<\/strong> depends on trust and relevance, and Influencer Marketing<\/strong> only works when influence is authentic. By applying a repeatable audit workflow, teams improve performance consistency, reduce fraud and brand safety risks, and build creator partnerships that compound over time.<\/p>\n\n\n\n

                            Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n

                            What is an Influencer Audit and when should I do one?<\/h3>\n\n\n\n

                            An Influencer Audit<\/strong> is a due-diligence review of a creator\u2019s authenticity, audience fit, content quality, and risk signals. Do it before signing any agreement, and re-audit periodically for long-term partnerships or when performance changes abruptly.<\/p>\n\n\n\n

                            How do I tell if an influencer\u2019s engagement is real?<\/h3>\n\n\n\n

                            Look for consistent engagement over time, meaningful comments, and a reasonable relationship between follower count and interactions. Sudden spikes in followers without matching engagement, repetitive generic comments, and mismatched audience geography can be warning signs.<\/p>\n\n\n\n

                            What matters more in Organic Marketing: reach or relevance?<\/h3>\n\n\n\n

                            Relevance usually matters more for Organic Marketing<\/strong>. A smaller creator with a highly aligned audience and credible voice can drive stronger trust, better conversions, and more durable brand equity than a large but mismatched account.<\/p>\n\n\n\n

                            How does Influencer Marketing measurement change after an audit?<\/h3>\n\n\n\n

                            A good Influencer Audit<\/strong> informs how you measure success\u2014what links, codes, landing pages, or survey questions you use\u2014and sets realistic benchmarks based on the creator\u2019s historical performance and audience behavior.<\/p>\n\n\n\n

                            Should I avoid creators who post a lot of sponsored content?<\/h3>\n\n\n\n

                            Not automatically. High sponsored density can reduce trust in some niches, but professional creators may still deliver strong results. Use an Influencer Audit<\/strong> to evaluate how their audience responds to ads, whether sponsorships fit naturally, and whether performance is consistent.<\/p>\n\n\n\n

                            Can I run an Influencer Audit without paid tools?<\/h3>\n\n\n\n

                            Yes. You can manually review content history, engagement patterns, comment quality, and brand fit using platform-native information and spreadsheets. Paid tools help scale and standardize the process, but they don\u2019t replace human judgment.<\/p>\n\n\n\n

                            How often should I re-audit influencers in an ongoing program?<\/h3>\n\n\n\n

                            For ambassador-style programs, re-audit every quarter or twice a year, and immediately after major audience shifts, controversy, or a significant drop in engagement. Continuous monitoring supports healthier Influencer Marketing<\/strong> and more resilient Organic Marketing<\/strong> outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Influencer relationships can be one of the strongest levers in **Organic Marketing**, but only when the creator, audience, and content truly align with your brand goals. An **Influencer Audit** is the structured process of evaluating an influencer\u2019s authenticity, audience quality, brand fit, content performance, and risk profile before (and during) collaboration.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1903],"tags":[],"class_list":["post-9260","post","type-post","status-publish","format-standard","hentry","category-influencer-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9260","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/users\/10235"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/comments?post=9260"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9260\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=9260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=9260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=9260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}