{"id":15,"date":"2026-01-22T10:05:00","date_gmt":"2026-01-22T10:05:00","guid":{"rendered":"https:\/\/gumshoeaiblog.wpenginepowered.com\/?p=15"},"modified":"2026-04-02T11:34:34","modified_gmt":"2026-04-02T18:34:34","slug":"gumshoe-ai-manual-mastering-visibility-growth-in-the-ai-search-era","status":"publish","type":"post","link":"https:\/\/gumshoe.ai\/blog\/gumshoe-ai-manual-mastering-visibility-growth-in-the-ai-search-era\/","title":{"rendered":"Gumshoe AI Manual: Mastering Visibility & Growth in the AI Search Era"},"content":{"rendered":"

In the age of AI-driven search, marketers face a new kind of visibility challenge.<\/strong> Large language models (LLMs) like ChatGPT, Google\u2019s Gemini, and Perplexity are answering your customers\u2019 questions directly \u2013 often citing sources and making brand recommendations. Agency owners, marketing leaders, and SEO leads are quickly discovering that traditional SEO strategies aren\u2019t enough<\/strong>. You might be ranking on Google, but what happens when a prospect asks an AI assistant about the \u201cbest solution\u201d in your category? Will your brand be mentioned \u2013 or will a competitor steal the spotlight?<\/p>\n

This manual is a complete guide to using Gumshoe AI<\/strong> for maximizing your visibility in this new AI search landscape. It\u2019s not just about what<\/em> to do, but why<\/em> each step matters. We\u2019ll follow a proven, narrative-driven workflow used by top-performing Gumshoe customers, showing you how to measure where you stand and exactly what to do to improve over time.<\/p>\n

What\u2019s Inside<\/h2>\n
    \n
  • The AI Visibility Paradigm:<\/strong> Why AI search is rewriting the rules of organic marketing, and how Gumshoe helps you see what AI thinks<\/em> about your brand.<\/li>\n
  • Setting Up Your Visibility Baseline:<\/strong> How to create focused Gumshoe reports tuned to your business, track competitors and personas, schedule regular runs, and cover all<\/em> major AI models for a complete picture.<\/li>\n
  • Lever 1 \u2013 First-Party Content:<\/strong> Using Gumshoe\u2019s recommendations and content generation to publish the fresh, targeted content<\/strong> that AI models love.<\/li>\n
  • Lever 2 \u2013 Technical Health:<\/strong> Auditing your site\u2019s technical SEO for AI, so models can actually read and trust your pages. (Even the best content fails if the AI can\u2019t crawl it!)<\/li>\n
  • Lever 3 \u2013 Third-Party Signals:<\/strong> Building an off-site content strategy by identifying which external sources<\/strong> AI models rely on, and how to get your brand featured there.<\/li>\n
  • Connecting the Dots to ROI:<\/strong> Validating your efforts by linking Gumshoe\u2019s visibility scores to real outcomes \u2013 organic traffic, conversions, and even paid campaign lift<\/strong>. We\u2019ll discuss how to connect signals from GA4, GSC, and ad platforms for full-funnel insight.<\/li>\n
  • Continuous Improvement:<\/strong> A recommended weekly, monthly, and quarterly workflow to iterate and stay ahead<\/strong>, based on patterns from thousands of Gumshoe report runs.<\/li>\n<\/ul>\n

    Throughout, you\u2019ll find tips, examples, and callouts for power users. This manual assumes you\u2019re already fluent in marketing basics \u2013 our focus is on clarity, depth, and practical application rather than fluff. Let\u2019s dive in!<\/p>\n

    The New AI Visibility Paradigm<\/h2>\n

    AI search isn\u2019t \u201ccoming soon\u201d \u2013 it\u2019s here today.<\/em> Every week, more buyers turn to AI assistants and chat-based search for answers. This shift has profound implications for how we approach marketing:<\/p>\n

      \n
    • Organic Search is Now Dual-Layered:<\/strong> In addition to traditional search engine results (which you might track via Google Search Console), there\u2019s a whole new layer of AI-generated answers<\/strong>. These answers often quote websites or cite sources directly within responses<\/strong>. If your brand isn\u2019t among those sources, you\u2019re essentially invisible in the AI context.<\/li>\n
    • Experience and Trust Matter:<\/strong> AI models \u201clearn\u201d from vast training data. They tend to prefer content that fits their training patterns \u2013 for example, well-structured FAQ pages or authoritative how-to guides. To earn citations, you need to speak the AI\u2019s language<\/strong> in terms of format and clarity.<\/li>\n
    • Brand Perception at Scale:<\/strong> An AI like ChatGPT can influence thousands of user interactions in parallel. If it has a wrong impression about your brand (or none at all), that misperception is being broadcast widely. Managing how AI perceives your brand<\/em> is becoming as critical as managing human perception.<\/li>\n<\/ul>\n

      Enter Gumshoe AI.<\/strong> Gumshoe is a platform designed to reveal how AI models see your brand and to guide you in improving that visibility. Think of it as an AI-focused extension of your marketing stack: part analytics, part SEO tool, part content strategist. It generates thousands of conversations with top AI models<\/strong> on your behalf \u2013 simulating the questions real users ask \u2013 and distills the results into actionable insights. Instead of guessing how to rank in AI, you have concrete data on where you stand and what to do next.<\/p>\n

      Insight:<\/strong> The goal isn\u2019t to \u201cgame\u201d the AI.<\/em> It\u2019s to genuinely improve your digital presence \u2013 content, technical health, external mentions \u2013 so that AI models naturally find your brand relevant and authoritative. Gumshoe simply shines a light on what the AI is seeing (and not seeing), so you know where to focus.<\/p><\/blockquote>\n

      In the sections that follow, we\u2019ll walk step-by-step through the Gumshoe workflow \u2013 a continuous cycle of Measure \u2192 Improve \u2192 Iterate<\/strong> \u2013 that will help you systematically grow your share of voice in AI-generated search results.<\/p>\n

      Setting Up Your AI Visibility Baseline with Gumshoe<\/h2>\n

      Every journey starts with a baseline. In Gumshoe, that means creating your visibility reports<\/strong> \u2013 each one finely tuned to a specific focus. This is Step 1: Create Tuned, Single-Focus Reports<\/strong>. By narrowing each report to one business area or theme, you keep the insights clean and actionable.<\/p>\n

      Choose Your Focus:<\/strong> Start by defining the scope of each report. For a marketing agency owner<\/strong>, this might mean one report per major client or industry niche. For an enterprise SEO lead<\/strong>, it could be one report per product line or geographic market. The key is to align reports with how you segment your business or marketing efforts. Examples:<\/em> If you sell sustainable clothing, you might have separate reports for \u201csustainable children\u2019s clothing,\u201d \u201csecond-hand kids\u2019 clothing,\u201d etc., possibly even broken down by region or language. Each report\u2019s Focus<\/strong> acts like a lens, telling Gumshoe, \u201cOnly show me AI search results relevant to this<\/em> topic and context.\u201d<\/p>\n

      Personas \u2013 The Who:<\/strong> Unlike traditional SEO tools that just track keywords, Gumshoe is persona-driven. This means you can simulate different buyer personas<\/strong> asking the AI questions. Why? Because a CTO might phrase a question differently than a marketing manager, and the answers an AI gives can vary accordingly. When creating a report, set up a diverse range of personas (Gumshoe recommends using at least 6 personas<\/em> for robustness). You can customize these or use the suggested ones \u2013 think of each persona as a distinct perspective or voice in the conversation. This way, you\u2019ll see how your brand appears to different types of searchers. (For example, a \u201cfrugal shopper\u201d persona might trigger AI results that emphasize cost, while a \u201csustainability advocate\u201d persona might surface different content.)<\/em> <\/p>\n

      Topics \u2013 The What:<\/strong> Next, choose your Topics<\/strong>. Topics in Gumshoe act like categories or themes of questions that the AI will explore. If your focus is a product category, topics could be specific use-cases, problems, or sub-niches. Gumshoe uses these to craft relevant questions to ask the AI models. Smart topic selection will improve your report results \u2013 it\u2019s a bit like choosing the right keywords, but oriented to natural language queries. Tip: Look at common customer FAQs or pain points to decide on topics. What do people genuinely care about when researching solutions in your space? Make those your topics.<\/em> Gumshoe\u2019s help articles can guide you on picking the best topics if you need inspiration.<\/p>\n

      Prompts \u2013 The How:<\/strong> Finally, refine the Prompts<\/strong> (the actual queries posed to AI). Gumshoe will auto-generate prompts based on your focus, personas, and topics, but you can edit or add your own. More prompts = more coverage; 10+ prompts per persona is recommended for depth<\/em>. The prompts should be realistic questions a user might ask an AI. For instance, under a focus \u201cbest CRM software\u201d and a persona \u201cSales Manager\u201d, a prompt could be \u201cWhat\u2019s the best CRM for a mid-sized B2B sales team?\u201d. You want a variety of prompts covering informational queries, comparison queries, problem-solving queries, etc., all related to your focus. This nets a broader view of where you appear and where you\u2019re absent.<\/p>\n

      Pulling it Together:<\/strong> Once you\u2019ve set Focus, Personas, Topics, and Prompts, you\u2019ve essentially configured Gumshoe\u2019s \u201cinterview\u201d with the AI universe on your behalf. You\u2019ll do this for each area you care about. The outcome will be a set of reports that tell you how often your brand is mentioned<\/strong> (Brand Visibility) across those AI answers, how you rank vs competitors<\/strong> (Competitive Rank), which personas<\/strong> you win or lose, how you do across different topics<\/strong>, which models<\/strong> favor you, and what sources<\/strong> get cited. In short, it\u2019s a multi-dimensional health check for your AI presence. <\/p>\n

      Before we run these reports, two critical considerations remain: scheduling<\/strong> and model selection<\/strong>.<\/p>\n

      Running Reports Regularly (Scheduling)<\/h3>\n

      AI search results are not static. In fact, AI answers can shift week to week<\/strong> based on new content being published, model updates, and competitor actions. To capture trends, you need to run your Gumshoe reports on a regular cadence. Gumshoe allows scheduling recurring report runs, and we strongly recommend automating this<\/strong> rather than doing one-off checks. <\/p>\n

      Common schedules to choose:<\/p>\n

        \n
      • Weekly<\/strong> \u2013 Ideal for active optimization, fast-moving industries, or when you\u2019re making frequent changes. A weekly run provides a tight feedback loop on what\u2019s improving or slipping.<\/li>\n
      • Biweekly<\/strong> \u2013 Good for moderate pace changes or if weekly is too granular.<\/li>\n
      • Monthly<\/strong> \u2013 Useful for baseline tracking, or if resources are limited, though you may miss rapid shifts.<\/li>\n<\/ul>\n

        Regular runs create a timeline of visibility scores and rankings, so you can see cause and effect. For example, if you published new content or fixed a technical issue, did your visibility score improve in the next run? If a competitor got a lot of press last week, does your rank drop this week? Without a timeline, you\u2019re flying blind on ROI<\/strong> \u2013 a single snapshot can\u2019t prove progress, but a series of snapshots can. When it\u2019s time for quarterly business reviews, these trend lines will let you demonstrate concrete improvements.<\/p>\n

        Pro Tip:<\/strong> Even if you are not actively making changes, keep the reports running! AI models and competitors are always<\/em> changing something. Regular monitoring ensures you catch these shifts. As Gumshoe notes, \u201ceven if you aren\u2019t actively optimizing, regular runs matter because competitors and AI Models are shifting every week.\u201d<\/strong><\/p><\/blockquote>\n

        Setting up scheduling in Gumshoe is straightforward (you can finalize a report and choose a repeat interval). Once scheduled, the platform will handle the rest and you\u2019ll get fresh data automatically. Make sure to occasionally check that your scheduling settings cover all the reports you need, and adjust as your strategy evolves.<\/p>\n

        Covering All Angles (Choosing AI Models)<\/h3>\n

        One of Gumshoe\u2019s key strengths is multi-model visibility<\/strong>. Why does this matter? Because not all AI search engines are created equal. Each LLM has its own brain<\/strong>, so to speak \u2013 different training data, different update cycles, different blind spots. If you only track one model (say, only ChatGPT or only Google\u2019s SGE), you will get an incomplete picture.<\/p>\n

        Gumshoe currently supports tracking a range of AI models (as of this writing: ChatGPT, Google Gemini, Claude, Perplexity, Google\u2019s AI-powered Search Overviews, and more). When setting up your reports, enable as many models as possible<\/strong> for each prompt. This way you\u2019ll know, for example, that your brand dominates answers on Perplexity but is absent on Claude \u2013 a critical insight.<\/p>\n

        Why track multiple models? A few eye-opening reasons:<\/p>\n

          \n
        • Different models cite different sources.<\/strong> What ChatGPT chooses to cite might be totally different from what Google\u2019s AI uses. You might have great content that GPT-4 loves, but Google\u2019s SGE has never surfaced \u2013 or vice versa. Without multi-model tracking, you\u2019d never know.<\/li>\n
        • Varying weaknesses & blind spots.<\/strong> Each model has quirks. Some might ignore newer content; others might have biases in what sites they consider authoritative. By comparing across models, Gumshoe helps you spot these discrepancies. For instance, if all<\/em> models but one show your blog, maybe that one model has an issue or outdated data.<\/li>\n
        • Training data vs live data.<\/strong> Many LLMs rely heavily on their internal training data and update it in batches, not real-time. Even those with web access decide when to search (if at all). So one model might reflect content from 2023, while another has incorporated your late-2025 updates. Tracking both gives you a mix of \u201cbaseline\u201d vs \u201cfresh\u201d visibility.<\/li>\n
        • Rolling updates and volatility.<\/strong> AI platforms update on their own schedules, often without announcement. You might see your brand\u2019s citations spike on one model while dropping on another in the same week. Only by monitoring each can you avoid misreading a one-model blip as an overall trend.<\/li>\n
        • Real users hop between tools.<\/strong> A buyer might use Bing Chat today, ChatGPT tomorrow, and their Google search the next. To truly \u201cbe where your customers are,\u201d<\/strong> you need to account for the mix<\/em> of AI assistants in play. Your strategy should cover the ecosystem, not just one AI channel.<\/li>\n<\/ul>\n

          In practice, Gumshoe makes multi-model tracking easy \u2013 you select which models to include when configuring a report (and you can prioritize based on your audience; e.g. if you know your customers skew toward Google\u2019s ecosystem, weight that heavily, but still watch others). The outcome is a more robust and durable picture of your AI visibility<\/strong>. Patterns that show up across all models are likely real strong points or weak points for your brand. Isolated anomalies get put in context.<\/p>\n

          Now you\u2019ve set up comprehensive reports, scheduled them, and included all relevant AI models. You have your baseline.<\/strong> It\u2019s time to improve it. Gumshoe doesn\u2019t leave you guessing here either \u2013 it highlights why<\/em> you might be missing from results and points toward fixes. The fixes tend to fall into three categories, which Gumshoe calls the Three Levers<\/strong>: publishing first-party content, improving technical health, and building third-party authority. Let\u2019s examine each in turn.<\/p>\n

          Lever 1: Publishing First-Party Content that AI Models Love<\/h2>\n

          Fresh, quality content has long been the fuel of SEO, and the same holds true in the AI realm. In fact, publishing targeted first-party content is the strongest lever you control<\/strong> for improving AI visibility. \u201cFirst-party\u201d here means content on your own properties (your website, blog, knowledge base, social channels, etc.) that you directly create.<\/p>\n

          Why is content so powerful? Because when an AI is answering a question, it needs facts and perspectives to draw from<\/em>. If your site provides those answers in a format the AI can easily digest, it\u2019s more likely to get cited or mentioned. Gumshoe\u2019s reports will often reveal gaps \u2013 topics where competitors are being cited but you aren\u2019t, or questions where no<\/strong> one is cited (meaning an opportunity for you to become the go-to source).<\/p>\n

          Use Gumshoe\u2019s Content Ideas:<\/strong> Based on your report findings, you might identify, say, that \u201cAI frequently cites Site X\u2019s FAQ on sustainable materials, but we have nothing similar.\u201d That\u2019s a cue to create that content for your own site. Gumshoe\u2019s platform includes an AI-assisted content generation<\/em> feature to help you quickly draft pieces like FAQs, how-to guides, knowledge base articles, etc. \u2013 all modeled on formats LLMs tend to prefer. For example, you can generate a list of FAQs or a how-to outline directly aligned to the topics and personas in your report.<\/p>\n

          Focus on AI-friendly Formats:<\/strong> Gumshoe specifically notes content types that are effective: FAQs, knowledge articles, how-to guides, even structured social posts or video outlines. These are formats known to be palatable to LLMs (and indeed, Gumshoe\u2019s content templates mirror what LLMs already like to cite<\/strong>). An FAQ page with clear Q&A pairs, or a well-organized how-to guide, has a higher chance of being parsed and reproduced by an AI in a response. During content creation, ensure you use straightforward language, headings, and structured markup<\/em> \u2013 this is about clarity over creative flair. The narrative can still be engaging (the AI will inherit your tone if it quotes you), but the structure should be crystal clear. <\/p>\n

          Stay Fresh:<\/strong> A crucial element is freshness<\/strong>. Large language models have a recency bias; many heavily favor content published or updated recently. In practice, that means you should publish new pieces regularly and<\/em> keep updating older content. Gumshoe suggests publishing at least weekly or monthly to stay within the AI \u201cfreshness window\u201d. In your internal workflow, consider a content calendar where, each week, you publish a new article addressing a gap and perhaps refresh an older piece that\u2019s 3+ months old. (In fact, Gumshoe\u2019s data shows LLMs heavily favor content under ~90 days old \u2013 so republishing an updated version of an older article can revive its visibility.)<\/em><\/p>\n

          Measure Impact:<\/strong> After publishing, watch subsequent Gumshoe report runs. Did your brand start appearing for that question or topic? If yes, great \u2013 that\u2019s a win directly attributable to your content effort. If not, examine who is cited and why. It could be a sign to improve the content (e.g. add more detail, or perhaps it needs more external backlinks to build authority \u2013 which leads to Lever 3 later). Sometimes it might take a few weeks or a model update cycle for new content to be picked up by certain AI, so be patient but persistent.<\/p>\n

          Callout \u2013 Quality vs Quantity:<\/strong> It\u2019s tempting to blast out dozens of AI-targeted articles. But quality and relevance beat sheer volume. One<\/em> well-researched, well-structured guide can outperform ten thin blog posts. Gumshoe will highlight content opportunities<\/strong>; prioritize those that align with genuine user needs or popular AI queries. Always write for the end user first \u2013 the AI is a conduit. If people find your content valuable (and maybe even engage with it when they click through a citation), that user behavior can indirectly feed back into AI models considering your site\u2019s usefulness.<\/p><\/blockquote>\n

          Publishing workflow tip:<\/strong> Many Gumshoe power users pair the tool\u2019s insights with their CMS or content pipeline. For example, if Gumshoe shows that \u201cAI models cited your competitor\u2019s tutorial on X three times this month, and you have no content on X\u201d<\/em>, they fast-track creating that tutorial. Over time, this becomes a cycle: Insight \u2192 Content Idea \u2192 Content Published \u2192 Visibility gains (hopefully).<\/em><\/p>\n

          In summary, treat content as your first lever<\/strong> to pull whenever you notice a gap or drop in AI visibility. It\u2019s something you directly control. And thanks to Gumshoe\u2019s guidance on what<\/em> to write and where<\/em> to publish it, you can be confident these efforts are aligned with improving your AI presence, not just generic SEO. In the next section, we\u2019ll tackle the second lever, which is all about making sure your site\u2019s technical underpinnings<\/strong> aren\u2019t holding you back.<\/p>\n

          Lever 2: Ensuring Technical Health so AI Can Read Your Site<\/h2>\n

          You could be publishing the best content in the world \u2013 but it won\u2019t matter if AI models can\u2019t properly crawl or understand it<\/strong>. Lever 2 in the Gumshoe playbook is all about technical optimization. Gumshoe provides a feature called Page Audit<\/strong> that functions like an AI-centric technical SEO audit. This is crucial because technical clarity significantly influences how well AI models can interpret your pages<\/strong>. Think of it this way: an AI might want to cite your page, but if your page is slow, poorly structured, or not accessible, the model might skip over it or misinterpret it.<\/p>\n

          When you run a Page Audit<\/strong> in Gumshoe (which you can do for pages surfaced in your reports, like top landing pages or any URL you care about), it checks for a range of technical factors:<\/p>\n

            \n
          • Metadata completeness:<\/strong> Do your pages have descriptive titles and meta descriptions? Missing or duplicate metadata can confuse both traditional search engines and AI.<\/li>\n
          • Heading structure:<\/strong> Does your page use clear headings (H1, H2, H3…) to outline content? A logical hierarchy helps AI parse the main points. For instance, if an AI is scanning for an answer in your page, a well-written H2 might directly answer a sub-question, increasing chance of a snippet being used.<\/li>\n
          • Markup and schema:<\/strong> Is your HTML clean? Are there broken tags or badly nested elements? Also, do you use structured data<\/strong> (schema.org) where appropriate? Proper markup can make content more digestible. If you have FAQ schema on an FAQ page, an AI might pick that up more readily. Gumshoe\u2019s audit flags markup quality and structured data issues<\/strong> so you can fix them.<\/li>\n
          • Page performance:<\/strong> Slow load times or heavy pages can hurt you. Some AI crawlers might time out or not fetch large resources. Gumshoe will highlight performance issues (like large images, blocking scripts, etc.). Improving page speed not only helps user experience and SEO, but ensures AI agents can retrieve your content reliably.<\/li>\n
          • Crawlability & Retrievability:<\/strong> Are there broken links, dead pages, or areas of your site blocked by robots.txt unintentionally? The audit covers these basics too. \u201cRetrievability\u201d in an AI context means whether the model can actually fetch the content \u2013 e.g. if it\u2019s behind a login or requires complex scripts, the AI might not see it at all.<\/li>\n
          • Internal linking:<\/strong> If your site has orphan pages (valuable content not linked from elsewhere on your site), AI might have a harder time discovering it. Gumshoe checks internal link structure so you can ensure important content is well-linked (both for human SEO and AI discovery).<\/li>\n
          • Other technical SEO factors:<\/strong> Mobile-friendliness, use of proper canonical tags, etc., which all contribute to how search engines view your site integrity.<\/li>\n<\/ul>\n

            Addressing these technical issues is akin to laying out a welcome mat for AI crawlers. \u201cWhile improved content is beneficial, it won\u2019t be effective if the model can\u2019t read it,\u201d<\/strong> Gumshoe aptly reminds us. The good news is that technical fixes are often in your direct control or your web development team\u2019s. Unlike chasing backlinks (which we\u2019ll talk about next) that depend on others, fixing your site is a lever you can pull internally. <\/p>\n

            Prioritize for Impact:<\/strong> Not all technical issues are equal. Gumshoe\u2019s Page Audit will list many items, but focus on those that likely have the biggest bang for your buck:<\/p>\n

              \n
            • If headings are a mess or content is hidden behind interactive elements, fix that first \u2013 AI needs clear, text-accessible info.<\/li>\n
            • If your site is slow (say, large images or uncompressed scripts), optimize those assets \u2013 especially on key content pages you want cited.<\/li>\n
            • If metadata is missing or duplicate, clean it up \u2013 it\u2019s a quick win that helps clarify your content\u2019s purpose.<\/li>\n
            • If important pages aren\u2019t being indexed (check GSC coverage reports in parallel), that\u2019s a red alert to resolve before expecting AI visibility.<\/li>\n<\/ul>\n

              After fixes, rerun the Page Audit to verify improvements. You should also watch if Gumshoe\u2019s visibility scores improve in subsequent scheduled reports for prompts related to those pages. Technical SEO can have a subtle but powerful effect \u2013 for example, if an AI previously skipped over your page due to a parsing issue and now doesn\u2019t, you might suddenly see citations where you had none.<\/p>\n

              Technical Fixes and Conversions:<\/strong> Here\u2019s where technical work ties into conversions<\/strong>. Many technical improvements (faster pages, better mobile rendering, clearer structure) also enhance user experience. That means visitors who click through an AI citation to your site are more likely to stay and convert if the page performs well. You can validate this by checking your GA4 analytics: did bounce rates drop or conversion rates rise after a page\u2019s tech overhaul? Gumshoe\u2019s job is to get you visibility; it\u2019s your site\u2019s job to then convert that traffic. Fixing technical issues helps ensure that any traffic you earn from AI (or any channel) isn\u2019t wasted due to a poor web experience.<\/p><\/blockquote>\n

              In short, Lever 2 is about eliminating any technical barrier between your content and the AI<\/strong>. It complements Lever 1: you create great content (Lever 1), then you make sure it\u2019s served optimally (Lever 2). Marketers sometimes underestimate technical SEO, but in the AI era, it\u2019s arguably more important \u2013 because an AI isn\u2019t going to struggle through a clunky page; it will just find information elsewhere. Gumshoe gives you the diagnostics to keep your site in top technical shape for these new consumers (both human and AI). Now, let\u2019s look beyond your own site to the wider web, which brings us to Lever 3.<\/p>\n

              Lever 3: Building Third-Party Authority & Signals Across the Web<\/h2>\n

              Even in a world of AI-driven answers, your website is not the only source that matters<\/strong>. AI models draw on a variety of fresh, authoritative sources<\/em> across the internet. That means if you want to truly dominate the answers, you can\u2019t rely solely on publishing to your own site. You also need to ensure your brand is referenced, talked about, and present on other high-authority sites<\/strong>. Lever 3 is about crafting a 3rd-Party Content Strategy<\/strong> \u2013 essentially, digital PR and outreach for the AI era.<\/p>\n

              Gumshoe helps you map this out by revealing the \u201csource code\u201d of AI answers: the Sources section<\/strong> in your report. This section identifies which external websites, publications, or domains were cited by the AI models in answers related to your topic. Analyzing this yields gold nuggets of strategy:<\/p>\n

                \n
              • Which websites do the models already cite for your topics?<\/strong> These might include industry news sites, Wikipedia, popular blogs, forums like Reddit, YouTube videos, etc.. If those are trusted sources for the AI, you want your content or brand to appear on those sources<\/em>.<\/li>\n
              • Publications influencing your category:<\/strong> Perhaps a certain trade magazine or review site is coming up a lot. That indicates it\u2019s an authority in the AI\u2019s eyes. You should consider engaging with that publication \u2013 e.g. getting an article, interview, or guest post there.<\/li>\n
              • Competitor coverage you\u2019re missing:<\/strong> Gumshoe might show that your competitor<\/em> is mentioned frequently on a specific site or has contributions on certain platforms. That\u2019s a clue: those placements are helping your competitor in AI results, and you may need to catch up or counteract that.<\/li>\n
              • Repeat influencer domains:<\/strong> If a domain shows up repeatedly shaping model answers, it\u2019s a key influencer. Even if it\u2019s not about you or competitors directly, if you can get cited by that domain or build a relationship, it could indirectly boost your authority signals to AI.<\/li>\n<\/ul>\n

                Armed with these insights, build your outreach strategy around them<\/strong>:<\/p>\n

                  \n
                • Target cited publications:<\/strong> Make a list of the top publications or sites Gumshoe sources show. Brainstorm how to get featured there. It could be through pitching a guest article, submitting a case study, or simply forming connections with those editors.<\/li>\n
                • Contribute content or commentary:<\/strong> If the source is something like Quora or Reddit (where user-generated content is cited), ensure you or someone credible from your team is participating there, providing valuable answers that could be picked up. If it\u2019s a news site, contribute expert commentary or op-eds.<\/li>\n
                • Directory listings or product roundups:<\/strong> Gumshoe might reveal that AI often cites \u201cTop 10 X\u201d lists from various sites. Are you on those lists? If not, reach out to be included or work to earn your spot. Authoritative directories in your space should list your business.<\/li>\n
                • Collaborate with content creators:<\/strong> For YouTube or podcast sources, maybe you can be a guest on a relevant channel. If AI is citing a popular YouTube video on your topic, having your product shown or mentioned in that video could make the AI start associating your brand with that topic.<\/li>\n
                • Strengthen presence on high-trust sites:<\/strong> Think Wikipedia, industry associations, academic or government sites (if applicable). While you can\u2019t just place<\/em> yourself on Wikipedia, you can contribute facts and ensure any existing page about your company is accurate and well-sourced. These high-trust sites, when they mention you, act as strong authority signals.<\/li>\n<\/ul>\n

                  The principle is straightforward: AI models \u201clearn\u201d from the collective web<\/strong>. If the collective web has very little about you, or only your own site, you\u2019re at a disadvantage. By seeding the web with credible third-party references<\/strong> to your brand (in a non-spammy, value-add way), you reinforce to the AI that \u201cthis brand is relevant and authoritative in this domain.\u201d Over time, that can lead the AI to incorporate your brand more into its answers \u2013 not just citing your site directly, but possibly referencing your brand as an example in narratives, etc.<\/p>\n

                  One way to think of it: If Lever 1 (content) is about what you say about yourself<\/em>, Lever 3 is about what others say about you<\/em>. Both are needed for a complete picture. AI, being a reflection of human knowledge, needs to see consistency and corroboration. If your site boasts \u201cWe\u2019re a leader in sustainable fashion,\u201d but no one else on the web is saying that or mentioning you in that context, AI may not buy it. But if multiple sources (news articles, forums, reviews) echo that narrative, it solidifies your position in the AI\u2019s \u201cmind.\u201d <\/p>\n

                  Using Gumshoe to track progress:<\/strong> The Sources section will also show when models cite your own site\/content<\/strong>. Initially, you might have very few self-citations. As you execute on content (Lever 1) and technical fixes (Lever 2), you should see your own pages getting cited more. Similarly, after pursuing a third-party campaign (Lever 3), monitor if those external mentions start appearing in answers. For example, if you managed to get a mention on a high-profile blog, does Gumshoe show that blog being cited now in answers about your product category? If yes, that\u2019s a win \u2013 it means the AI has picked it up, and your brand likely came along for the ride in that citation.<\/p>\n

                  Remember:<\/strong> Third-party outreach isn\u2019t just about link building<\/em> in the old SEO sense. It\u2019s about influencing the data pool that AI models draw from<\/strong>. Gumshoe\u2019s sources insight is basically a peek into that data pool for your niche. Use it to guide a smarter PR\/content marketing strategy. As the playbook says, \u201cThird-party outreach helps AI Models confirm and reinforce what they learn from your own site.\u201d<\/em> You\u2019re making sure that outside voices are validating your inside voice.<\/p><\/blockquote>\n

                  By leveraging these three levers \u2013 Content, Technical, and Third-Party<\/strong> \u2013 you create a virtuous cycle: your site is rich and accessible, and the world is talking about you, which in turn makes the AIs \u201cbelieve\u201d in your relevance. Next, we\u2019ll discuss how to tie all this effort back to real-world results and metrics. After all, visibility for visibility\u2019s sake isn\u2019t the goal; we want business impact. So how do you measure organic lift, paid campaign impact, and conversions<\/strong> in this new paradigm? That\u2019s where connecting Gumshoe to your other analytics comes in.<\/p>\n

                  Connecting the Dots: From AI Visibility to Traffic, Conversions & Campaign Lift<\/h2>\n

                  Improving your visibility in AI search is fantastic \u2013 but how does it translate into business outcomes?<\/strong> This section is about validation<\/em>: making sure the work you do with Gumshoe not only shines in the platform\u2019s reports, but also moves the needle on real metrics like website traffic, lead generation, and even the effectiveness of your paid campaigns. As a savvy marketer, you likely have a tech stack that includes Google Analytics (GA4), Google Search Console (GSC), and advertising platform dashboards. Let\u2019s talk about integrating Gumshoe\u2019s insights with those.  <\/p>\n

                  Validate Paid Campaign Lift:<\/strong> Here\u2019s a powerful use case: you run a big marketing campaign \u2013 say a LinkedIn ads blitz or a PR announcement \u2013 aimed at boosting brand awareness. How do you know if it had an effect beyond the immediate ad clicks or press mentions? One way is to check Gumshoe\u2019s brand visibility scores and citations before vs. after<\/strong> the campaign. If your campaign successfully made more people search for you or talk about you, AI models might start reflecting that. Perhaps prior<\/em> to the campaign, ChatGPT rarely mentioned your brand in a \u201cbest X tools\u201d query, but after your news and content push, it starts to appear. That suggests a lift in brand presence<\/strong> in the broader discourse, which the AI picked up on. It\u2019s like measuring brand lift, but via the AI lens.<\/p>\n

                  Also, think about the content assets from a campaign: maybe you published a lot of thought leadership during a product launch. Those could now be getting cited. Gumshoe will show if those new assets are showing up as sources. This is an indirect attribution<\/strong> of campaign impact \u2013 it demonstrates that the awareness generated led to sustained organic (or \u201cAI organic\u201d) presence. While it\u2019s not a straight line like \u201cad click led to sale,\u201d it\u2019s valuable evidence when justifying campaign spend: \u201cOur $50k campaign not only drove immediate leads, but we gained lasting share-of-mind in AI search results, which continue to drive organic traffic and leads.\u201d <\/p>\n

                  Technical Attribution for Conversions:<\/strong> Earlier we noted how technical improvements can help conversions. To solidify that, you should monitor conversion metrics tied to pages or segments where you made fixes. Let\u2019s say you overhauled your site\u2019s structure and page speed on a section of the site (maybe your blog). Gumshoe might show improved visibility (e.g., those pages now appear in answers), and GA4 could show increased organic traffic to those pages. The last step: did conversions from those pages increase? If you track a goal like \u201crequest demo\u201d and you know historically your blog rarely drove demos, but post-improvement it drove 5 demos last month (possibly thanks to AI referral traffic landing on it), you\u2019ve closed the loop: technical SEO \u2192 AI visibility \u2192 traffic \u2192 conversions. <\/p>\n

                  One thing to note is that attribution in the AI era is still evolving<\/strong>. As a recent analysis put it, we shouldn\u2019t expect perfect attribution from AI search visibility to closed sales<\/em> yet. AI might assist a customer early in research, but the actual conversion could come via direct or organic web search later, which makes it hard to credit the AI. That said, directional insights are possible and valuable. Use Gumshoe\u2019s trend lines as a north star and corroborate with whatever data you can pull from analytics. <\/p>\n

                  Use GSC for Traditional SEO Comparison:<\/strong> Don\u2019t forget to compare against Google Search Console (for web search performance). If you see web SEO metrics rising for certain queries at the same time as Gumshoe visibility rises for related AI queries, that\u2019s a strong sign your holistic SEO\/Content strategy is paying off. On the other hand, you might find cases where your web SEO is great but AI visibility is lacking (or vice versa). Those discrepancies can help refine where you allocate effort. For example, maybe one topic you rank #1 on Google, but AI answers still don\u2019t cite you \u2013 that may indicate an opportunity to adjust content format or pursue third-party mentions so the AI catches up.<\/p>\n

                  Reporting Upwards:<\/strong> To communicate to stakeholders, consider creating a consolidated report or dashboard. This might include:<\/p>\n

                    \n
                  • Gumshoe visibility score trends (overall and by model).<\/li>\n
                  • Number of citations of your brand or site over time.<\/li>\n
                  • Referral traffic from AI sources (sessions and conversions, pulled from GA4).<\/li>\n
                  • Any anecdotal wins (e.g., screenshots of an AI recommending your product with your logo \u2013 powerful visuals!).<\/li>\n
                  • Traditional SEO metrics alongside, to show the full picture of search visibility.<\/li>\n<\/ul>\n

                    By connecting these dots, you turn what could be seen as \u201cvanity metrics\u201d into evidence of real value. Remember that scheduled Gumshoe reports provide the timeline of improvement needed to prove ROI<\/strong>. When you can say, \u201cIn Q1 we implemented Gumshoe\u2019s recommendations \u2013 our AI visibility score is up 40%, we gained 3 new citations on high-authority sites, and we\u2019ve tracked 200 visits and 15 conversions from AI assistants that we weren\u2019t getting before,\u201d that is a compelling narrative for any CMO or client.<\/p>\n

                    Key Takeaway:<\/strong> AI visibility isn\u2019t separate from the rest of your marketing \u2013 it\u2019s deeply connected.<\/em> By integrating Gumshoe with analytics, you ensure that your AI optimization efforts are grounded in business outcomes. Use the data to double down on what\u2019s working and adjust what\u2019s not. And as the tooling improves (e.g., better ways to attribute AI-assisted conversions likely coming), you\u2019ll be ahead of the game in having already incorporated AI search into your marketing KPI framework.<\/p><\/blockquote>\n

                    Having established how to measure impact, let\u2019s talk about the ongoing process. SEO (and now AIO \u2013 AI Optimization) is not a one-and-done project; it\u2019s a continuous practice. In the final section, we outline a sustainable cadence for keeping your momentum and staying ahead of competitors over the long run.<\/p>\n

                    Continuous Improvement: Weekly, Monthly, Quarterly Workflow<\/h2>\n

                    Improving AI search visibility is not a finite project<\/strong> \u2013 it\u2019s an ongoing loop. The landscape is constantly shifting: models update, new competitors emerge, user questions evolve. To stay on top, you need a regular rhythm of review and action. Gumshoe\u2019s playbook suggests a cadence based on patterns seen across thousands of report runs. Here\u2019s a breakdown of what a healthy routine can look like:<\/p>\n

                    Weekly Actions \u2013 The Agile Tune-Up<\/h3>\n

                    Each week, focus on quick wins and fast feedback<\/strong>. Your weekly routine is about staying fresh and fixing obvious issues:<\/p>\n

                      \n
                    • Review Report Highlights:<\/strong> Look at your latest Gumshoe report trends. Did any persona or topic score jump out as significantly up or down? Did a new competitor start appearing? A quick skim can alert you to anything needing immediate attention. For example, if this week\u2019s run shows your visibility for \u201cTopic A\u201d dropped sharply, you might prioritize that in content or technical checks.<\/li>\n
                    • Publish New Content (Batch):<\/strong> Aim to publish at least one new batch of first-party content<\/strong> every week. \u201cBatch\u201d could mean a few related FAQs, or one in-depth guide, etc. The idea is continuous content infusion. This keeps you inside that freshness window and gives AI more to chew on regularly.<\/li>\n
                    • Refresh Aged Content:<\/strong> Identify content older than ~90 days and update or rewrite a portion of it. LLMs love fresh information. Even a light refresh (new examples, updated stats, a 2026 update note) can signal to models that your page is up-to-date, possibly boosting its chances to be cited.<\/li>\n
                    • Fix High-Priority Technical Issues:<\/strong> From your Page Audit findings, knock out any critical technical problems<\/strong> as part of weekly maintenance. Broken link? Fix it now. Missing alt tags on images? Add them. These small fixes accumulate. Think of it like cleaning up a few SEO \u201cchores\u201d each week so they never overwhelm you.<\/li>\n<\/ul>\n

                      The goal of the week<\/strong> is incremental improvement \u2013 \u201cchip away at the to-do list\u201d as Gumshoe puts it. You\u2019re not trying to do everything at once, just ensuring constant forward motion. This also means you can iterate: content you publish this week might be reflected in next week\u2019s report, giving you quick feedback.<\/p>\n

                      Monthly Actions \u2013 The Strategic Checkpoint<\/h3>\n

                      Every month, step back a bit and look at bigger trends and strategic alignment<\/strong>:<\/p>\n

                        \n
                      • Month-over-Month Visibility Changes:<\/strong> Compare this month\u2019s visibility metrics to last month\u2019s across all your reports. Are you trending upward broadly? Which areas saw the most growth or decline? A month is enough time to smooth out weekly noise and see real movement. Use Gumshoe\u2019s trend charts for this (or export data if needed).<\/li>\n
                      • Set Third-Party Outreach Targets:<\/strong> Based on the Sources insights, decide on a few PR\/outreach goals for the coming month<\/strong>. For example, target 2 specific publications to pitch, or aim to secure one podcast interview, or contribute to one industry roundup. Make it a concrete goal \u2013 e.g., \u201cGet featured in SiteX.com\u2019s<\/em> quarterly report.\u201d<\/li>\n
                      • Evaluate AI Citations of Your Content:<\/strong> Check how often AI models cited your site or content this month<\/strong>. If low, maybe your content needs a boost (promotion or SEO) or you need more content. If high, see which content pieces got love and consider replicating that success in other topics. Also, if certain pages are getting cited, ensure they have strong CTAs since they\u2019re entry points for visitors.<\/li>\n
                      • Plan Next Month\u2019s Content & Tech Focus:<\/strong> Decide what new content themes to tackle next, and which technical improvements to schedule for the coming month. Perhaps last month you focused on one product line; next month you shift to another, or double down if something\u2019s working. On the tech side, maybe allocate a sprint for a bigger fix like implementing schema markup sitewide if you noticed that gap.<\/li>\n<\/ul>\n

                        The goal of the month<\/strong> is to confirm what\u2019s working and course-correct on what isn\u2019t. It\u2019s about ensuring you\u2019re not just busy, but effective. For instance, if after a month a certain content push didn\u2019t move the needle, maybe you try a different angle or medium. Additionally, monthly is a good time to sync with broader marketing: tie your AI visibility efforts to any campaigns or seasonal events coming up.<\/p>\n

                        Quarterly Actions \u2013 The Big Picture and Evolution<\/h3>\n

                        Every quarter, do a deep dive and adjustment at a strategic level:<\/p>\n

                          \n
                        • Holistic Report Audit:<\/strong> Go through each Gumshoe report in detail and see if your personas, topics, and prompts are still the right ones<\/strong>. Businesses evolve \u2013 maybe you launched a new product, or learned of a new competitor. Update the focuses and personas accordingly. You might add new reports if you\u2019re expanding into new areas (new region, new service line). Essentially, refresh the lens<\/strong> through which Gumshoe monitors your brand to match current reality.<\/li>\n
                        • Content Strategy Review:<\/strong> Look at all the content you produced or updated in the last quarter. What\u2019s the qualitative outcome? Perhaps do an internal audit: which pieces got traction (visits, engagement), which got citations, which fell flat. This is a time for bigger pivots \u2013 e.g., \u201cOur webinar transcripts aren\u2019t getting picked up by AI; maybe we should focus on written guides instead.\u201d Adjust your content strategy for the next quarter accordingly.<\/li>\n
                        • Technical Strategy Review:<\/strong> Similarly, evaluate your tech stack and site health. If you did lots of quick fixes weekly, quarterly might be time for a major upgrade or a cleanup project (like a site restructure or a CMS update). Re-run comprehensive Page Audits on key pages now that some time has passed \u2013 new issues might have cropped up or old ones resurfaced.<\/li>\n
                        • Off-site\/PR Strategy Review:<\/strong> How did your third-party efforts go? If you secured some guest posts or links, did they have impact? Maybe one type of partnership was very fruitful and another wasn\u2019t \u2013 use that to refine where you invest PR energy next. Also, consider if there are new outlets or communities emerging in your industry that you should engage with.<\/li>\n
                        • Multi-Model Gap Analysis:<\/strong> By now you have a lot of data across models. Check if there\u2019s any model where you\u2019re still lagging significantly and hypothesize why. For example, \u201cWe\u2019re doing great on ChatGPT and Claude, but Google\u2019s SGE still barely shows us.\u201d That might direct a specific effort like focusing more on content that aligns with Google\u2019s sources or possibly even running some experiments (maybe Google\u2019s AI is looking more at YouTube or certain Q&A sites \u2013 so maybe your strategy should include those).<\/li>\n<\/ul>\n

                          The goal of the quarter<\/strong> is adaptation. It\u2019s about making sure your overall strategy evolves with the changing environment \u2013 both your internal business changes and the external AI\/search landscape changes. By taking stock quarterly, you avoid drifting off-course over the long term. It\u2019s also a great time to celebrate wins with your team (show them how far you\u2019ve come in visibility and traffic) and to set ambitious goals for the next quarter.<\/p>\n

                          Perspective:<\/strong> \u201cAI search visibility is a marathon, not a sprint\u201d<\/em>. This quote from the Gumshoe playbook is worth pinning to your wall. Quarterly reflections reinforce this mindset \u2013 you\u2019ll see how the small weekly improvements compound over 3 months. Patience plus consistency equals progress. Conversely, if you fall behind on this routine, it\u2019s easy to slip \u2013 an agile competitor or an AI algorithm change can erode your gains if you\u2019re not continuously monitoring and tweaking.<\/p><\/blockquote>\n

                          By following this weekly-monthly-quarterly plan, you create a sustainable machine for AI optimization. It ensures you\u2019re proactive, not just reactive, and that you maintain the gains you\u2019ve fought for. Finally, let\u2019s wrap up with some closing thoughts on keeping in sync with Gumshoe\u2019s evolution and staying ahead of the curve.<\/p>\n

                          Conclusion & Next Steps<\/h2>\n

                          Mastering organic visibility in the AI era might feel like hitting a moving target \u2013 because it is. But with the right process and tools, you now have the playbook to consistently measure, act, and adapt<\/strong>. Gumshoe AI serves as your eyes and ears inside the black boxes of models like ChatGPT, Gemini, and others. It shows you where you stand and illuminates the path to improvement. Ultimately, though, you<\/em> and your team must run the play: creating valuable content, tightening up your site, and promoting your brand across the digital ecosystem.<\/p>\n

                          A few parting recommendations for agency owners, marketing leads, and SEO heads embarking on this journey:<\/p>\n

                            \n
                          • Make it a Team Effort:<\/strong> Bring your content writers, SEO specialists, and even PR folks into the Gumshoe process. The insights span multiple disciplines \u2013 content, tech, PR \u2013 so foster collaboration. Perhaps set a monthly AI Visibility meeting to review Gumshoe insights and assign actions across the team.<\/li>\n
                          • Stay Educated:<\/strong> AI search is evolving quickly. Keep an eye on Gumshoe\u2019s updates (the team is continually improving the platform, adding features, and refining recommendations). They provide help articles and likely share case studies or webinars. For example, Gumshoe has a \u201cNow What\u201d Wizard that can suggest next steps based on your report \u2013 leverage such features to augment your strategy. And don\u2019t hesitate to reach out to their support or community for guidance.<\/li>\n
                          • Be Ethical and Authentic:<\/strong> Don\u2019t try to spam or manipulate AI with tricks \u2013 focus on genuine value. AI models are getting better at sniffing out quality (and certainly user feedback loops will affect them). The best way to \u201coptimize\u201d is to truly be the best answer for users\u2019 questions. Use Gumshoe to find out where you\u2019re not the best answer yet, and then go become it through real improvements.<\/li>\n
                          • Embrace the Opportunity:<\/strong> Many of your competitors are likely still catching up to AI optimization. By reading this manual and implementing its steps, you\u2019re ahead of the curve. Treat AI visibility as a first-class metric in your marketing success scoreboard. As AI\u2019s influence on buyer journeys grows, the work you\u2019re doing now to master it will pay dividends and perhaps mark the difference between brands that fade away and those that thrive with an \u201cunfair\u201d advantage.<\/li>\n<\/ul>\n

                            Finally, remember that you\u2019re not alone in this. The Gumshoe community and team are there to support. If you hit challenges, ask for help \u2013 whether it\u2019s interpreting a report or brainstorming how to improve a tricky metric. The frontier of AI search can be unpredictable, but it\u2019s navigable with a partner like Gumshoe and a solid plan.<\/p>\n

                            Keep pushing forward, keep iterating, and don\u2019t lose sight of the ultimate goal: more people discovering and trusting your brand when it matters most, whether they\u2019re talking to a person or an AI.<\/strong> The playbook is in your hands \u2013 now it\u2019s time to execute it and write your own success story in the new world of AI-driven marketing.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            In the age of AI-driven search, marketers face a new kind of visibility challenge.\u00a0Large language models (LLMs) like ChatGPT, Google\u2019s Gemini, and Perplexity are answering your customers\u2019 questions directly \u2013 often citing sources and making brand recommendations. Agency owners, marketing leaders, and SEO leads are quickly discovering that\u00a0traditional SEO strategies aren\u2019t enough. You might be ranking on Google, but what happens when a prospect asks an AI assistant about the \u201cbest solution\u201d in yo<\/p>\n","protected":false},"author":3,"featured_media":39,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,5,1],"tags":[],"class_list":["post-15","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-search","category-featured","category-uncategorized"],"gutentor_comment":0,"_links":{"self":[{"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/posts\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":0,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/posts\/15\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/media\/39"}],"wp:attachment":[{"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/media?parent=15"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/categories?post=15"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gumshoe.ai\/blog\/wp-json\/wp\/v2\/tags?post=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}