{"id":2478,"date":"2026-08-13T05:01:00","date_gmt":"2026-08-13T12:01:00","guid":{"rendered":"https:\/\/frankmasotti.com\/insights\/?p=2478"},"modified":"2026-08-12T13:00:02","modified_gmt":"2026-08-12T20:00:02","slug":"why-ai-may-recognize-your-business-but-misunderstand-its-specialty","status":"publish","type":"post","link":"https:\/\/frankmasotti.com\/insights\/why-ai-may-recognize-your-business-but-misunderstand-its-specialty\/","title":{"rendered":"Why AI May Recognize Your Business but Misunderstand Its Specialty"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-2478\" data-postid=\"2478\" class=\"themify_builder_content themify_builder_content-2478 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_gqty374 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_unc2374 first\">\n                    <!-- Breadcrumbs module -->\n<div  class=\"module module-breadcrumbs tb_6s91949 \" data-lazy=\"1\">\n\t<nav role=\"navigation\" aria-label=\"Breadcrumbs\" class=\"tbp_breadcrumb_trail\"><ul class=\"tbp_trail_items\" itemscope itemtype=\"http:\/\/schema.org\/BreadcrumbList\"><meta name=\"numberOfItems\" content=\"1\" \/><meta name=\"itemListOrder\" content=\"Ascending\" \/><li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\" class=\"tbp_trail_item tbp_trail_end\"><a itemprop=\"item\" href=\"https:\/\/frankmasotti.com\/insights\/\" rel=\"home\"><span itemprop=\"name\">Home<\/span><\/a><meta itemprop=\"position\" content=\"1\" \/><\/li><\/ul><\/nav><\/div><!-- \/Breadcrumbs module -->\n<!-- module text -->\n<div  class=\"module module-text tb_x9nk525   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p dir=\"ltr\" data-sourcepos=\"3:1-3:412;70-481\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-2479 size-full\" title=\"Why AI May Recognize Your Business but Misunderstand Its Specialty\" src=\"https:\/\/frankmasotti.com\/insights\/wp-content\/uploads\/2026\/08\/Why-AI-May-Recognize-Your-Business-but-Misunderstand-Its-Specialty.webp\" alt=\"Why AI May Recognize Your Business but Misunderstand Its Specialty\" width=\"1024\" height=\"576\" srcset=\"https:\/\/frankmasotti.com\/insights\/wp-content\/uploads\/2026\/08\/Why-AI-May-Recognize-Your-Business-but-Misunderstand-Its-Specialty.webp 1024w, https:\/\/frankmasotti.com\/insights\/wp-content\/uploads\/2026\/08\/Why-AI-May-Recognize-Your-Business-but-Misunderstand-Its-Specialty-300x169.webp 300w, https:\/\/frankmasotti.com\/insights\/wp-content\/uploads\/2026\/08\/Why-AI-May-Recognize-Your-Business-but-Misunderstand-Its-Specialty-768x432.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"3:1-3:412;70-481\">If you found this, you have probably already run the test. You asked ChatGPT or Gemini or Claude about your business, and the answer got the basics right. Correct name. Correct city. Correct industry. And then it described you in the most generic terms your industry allows. The thing that actually sets you apart, the specialty you built the business around, was either missing or reduced to a footnote.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"5:1-5:580;483-1062\">Here is the direct answer. AI models lose the specialty before they lose anything else, because a specialty is the rarest information about your business anywhere online. Your name appears everywhere you appear. Your category appears almost as often. But the precise thing you specialize in shows up in far fewer places, stated far less consistently, and often only by implication. When AI assembles a description from what it can read, the common signals win and the rare ones fade. The result is a description that is recognizably you and commercially useless at the same time.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"7:1-7:89;1064-1152\">That is a different problem from AI not knowing you exist, and it needs a different fix.<\/p><h2 class=\"mt-3 -mb-1 text-[1.125rem] font-bold\" dir=\"ltr\" data-sourcepos=\"9:1-9:38;1154-1191\">The Category Absorbs the Specialty<\/h2><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"11:1-11:474;1193-1666\">Think about how your business is described across the web, by every source, not just your own site. Directory listings assign you a category. Review platforms assign you a category. News mentions, chamber listings, and older profiles describe you at the category level because that is all the writer knew or needed. If you are a structural engineering firm that specializes in seismic retrofits of older buildings, most of the internet simply calls you an engineering firm.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"13:1-13:576;1668-2243\">AI models resolve businesses as entities, and every entity carries a type. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/what-is-an-entity-and-why-does-ai-care\/\">What is an entity and why does AI care<\/a> covers that mechanism in detail, but the short version matters here: once the model has confidently typed you as an engineering firm, that type does most of the descriptive work. The specialty is not a separate fact the model holds alongside the category. It is a refinement of the category, and refinements only survive when the evidence for them is strong, repeated, and consistent.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"15:1-15:561;2245-2805\">In most business footprints, it is none of those things. The category is stated hundreds of times across sources. The specialty might be stated clearly a handful of times, mostly on your own site, sometimes in different words each time. When the model weighs all of that together, the way <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/how-ai-builds-a-picture-of-your-business-from-information-across-the-web\/\">how AI builds a picture of your business from information across the web<\/a> describes, the category is the pattern that dominates. The specialty gets averaged out.<\/p><h2 class=\"mt-3 -mb-1 text-[1.125rem] font-bold\" dir=\"ltr\" data-sourcepos=\"17:1-17:33;2807-2839\">Why Owners Rarely Notice This<\/h2><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"19:1-19:489;2841-3329\">The reason this stays hidden is that recognition feels like the whole test. You ask AI about your business, it knows who you are, and that feels like passing. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/if-ai-mentions-my-business-it-must-understand-my-business-not-necessarily\/\">If AI mentions my business, it must understand my business<\/a> walks through why that instinct is misleading in general. The specialty version of the problem is even easier to miss, because nothing in the answer is wrong.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"21:1-21:561;3331-3891\">An answer that calls a seismic retrofit specialist an established structural engineering firm serving the region contains no errors. Every word is defensible. You read it, nothing jumps out as false, and you move on. This is the same trap explored in <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/ai-does-not-need-to-get-every-fact-wrong-to-misunderstand-your-business\/\">AI does not need to get every fact wrong to misunderstand your business<\/a>: accuracy at the fact level and accuracy at the understanding level are separate tests, and most owners only run the first one.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"23:1-23:674;3893-4566\">There is a second reason the specialty disappears, and it comes from how specialists actually write. A business that lives and breathes its niche often stops saying it plainly. The specialty is communicated through project photos, case descriptions, and vocabulary that insiders recognize. The site demonstrates the specialty without stating it. Humans reading the site infer it easily. AI models are far more literal readers, as <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/why-ai-takes-your-words-literally\/\">why AI takes your words literally<\/a> explains, and what is implied but never stated is exactly the kind of signal that fails to survive the trip into a model&#8217;s understanding.<\/p><h2 class=\"mt-3 -mb-1 text-[1.125rem] font-bold\" dir=\"ltr\" data-sourcepos=\"25:1-25:41;4568-4608\">The Queries Where This Costs You Most<\/h2><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"27:1-27:444;4610-5053\">Here is why this matters more than almost any other misreading. Category level queries are low intent. Someone asking an AI model for engineering firms in Phoenix is early in their search and comparing broadly. Specialty level queries are the opposite. Someone asking which firms handle seismic retrofits of unreinforced masonry buildings knows exactly what they need, has budget attached to the question, and is close to picking up the phone.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"29:1-29:564;5055-5618\">Those specialty queries are precisely where a flattened description excludes you. When the model holds you as a generic member of your category, it has no basis to surface you for the refined question. It recommends whoever its assembled picture says matches the specialty, which may be a competitor whose footprint states the niche more plainly than yours does. You built the business around the exact thing being asked about, and you are absent from the answer. Not because AI got a fact wrong, but because the fact that mattered never made it into the picture.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"31:1-31:444;5620-6063\">And this is happening earlier in the buying process than most owners assume. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/your-prospect-may-ask-ai-about-you-before-contacting-you\/\">Your prospect may ask AI about you before contacting you<\/a> covers that shift. For specialists, the stakes are concentrated: the whole value of a specialty is being the obvious answer to a narrow question, and a narrow question is exactly what AI now answers on your behalf.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"33:1-33:402;6065-6466\">The model will also deliver its generic version of you with complete confidence. There is no hedge in the answer that signals the specialty is missing. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/why-ai-sometimes-sounds-certain-when-its-understanding-is-incomplete\/\">Why AI sometimes sounds certain when its understanding is incomplete<\/a> explains why the fluency of the answer tells you nothing about its depth.<\/p><h2 class=\"mt-3 -mb-1 text-[1.125rem] font-bold\" dir=\"ltr\" data-sourcepos=\"35:1-35:44;6468-6511\">Why a Quick Self Test Will Not Settle It<\/h2><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"37:1-37:860;6513-7372\">The natural next step is to ask ChatGPT what your business specializes in and see what comes back. That is worth doing, but it is one question, one phrasing, one model, one day. Models differ in what they hold about the same business, a gap covered in <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/if-chatgpt-understands-my-business-gemini-and-claude-probably-do-too-not-necessarily\/\">if ChatGPT understands my business, Gemini and Claude probably do too<\/a>. One model may have your specialty intact while another has flattened it completely. And a direct question about your specialty is not the same as the buyer&#8217;s question, which never mentions your name at all. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/insights\/one-ai-question-cannot-show-you-how-ai-understands-your-business\/\">One AI question cannot show you how AI understands your business<\/a> covers why the single sample misleads.<\/p><h2 class=\"mt-3 -mb-1 text-[1.125rem] font-bold\" dir=\"ltr\" data-sourcepos=\"39:1-39:51;7374-7424\">Where the AI Business Understanding Report Fits<\/h2><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"41:1-41:717;7426-8142\">This is the specific gap the AI Business Understanding Report was built to expose. I ask ChatGPT, Claude, and Gemini about your business the way a buyer would, including the specialty level questions where your niche should make you the obvious answer. Then I document what each model actually holds: whether your specialty survived, where it got flattened into the category, and which sources appear to be feeding the generic version. <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/answers-what-am-i-actually-buying.html\">What am I actually buying<\/a> explains the deliverable, and <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/answers-why-three-ai-models.html\">why three AI models<\/a> explains why the comparison across models is where the useful findings live.<\/p><p class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"43:1-43:233;8144-8376\">A specialty is the hardest thing to build and the easiest thing for AI to lose. If you want to know whether yours survived the translation, <a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/frankmasotti.com\/order-now.html\">order your AI Business Understanding Report here<\/a>.<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module plain text -->\n<div  class=\"module module-plain-text tb_aqgs405 \" data-lazy=\"1\">\n        <div class=\"tb_text_wrap\">\n    <script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BlogPosting\",\n  \"headline\": \"Why AI May Recognize Your Business but Misunderstand Its Specialty\",\n  \"description\": \"AI may correctly recognize your business name, location, and industry while losing the specialty that actually sets you apart. 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You asked ChatGPT or Gemini or Claude about your business, and the answer got the basics right. Correct name. Correct city. Correct industry. And then it described you in the most generic terms your industry allows. The thing that actually sets you apart, the specialty you built the business around, was either missing or reduced to a footnote.<\/p><p dir=\"ltr\" data-sourcepos=\"5:1-5:580;483-1062\">Here is the direct answer. AI models lose the specialty before they lose anything else, because a specialty is the rarest information about your business anywhere online. Your name appears everywhere you appear. Your category appears almost as often. But the precise thing you specialize in shows up in far fewer places, stated far less consistently, and often only by implication. When AI assembles a description from what it can read, the common signals win and the rare ones fade. The result is a description that is recognizably you and commercially useless at the same time.<\/p><p dir=\"ltr\" data-sourcepos=\"7:1-7:89;1064-1152\">That is a different problem from AI not knowing you exist, and it needs a different fix.<\/p><h2 dir=\"ltr\" data-sourcepos=\"9:1-9:38;1154-1191\">The Category Absorbs the Specialty<\/h2><p dir=\"ltr\" data-sourcepos=\"11:1-11:474;1193-1666\">Think about how your business is described across the web, by every source, not just your own site. Directory listings assign you a category. Review platforms assign you a category. News mentions, chamber listings, and older profiles describe you at the category level because that is all the writer knew or needed. If you are a structural engineering firm that specializes in seismic retrofits of older buildings, most of the internet simply calls you an engineering firm.<\/p><p dir=\"ltr\" data-sourcepos=\"13:1-13:576;1668-2243\">AI models resolve businesses as entities, and every entity carries a type. <a href=\"https:\/\/frankmasotti.com\/insights\/what-is-an-entity-and-why-does-ai-care\/\">What is an entity and why does AI care<\/a> covers that mechanism in detail, but the short version matters here: once the model has confidently typed you as an engineering firm, that type does most of the descriptive work. The specialty is not a separate fact the model holds alongside the category. It is a refinement of the category, and refinements only survive when the evidence for them is strong, repeated, and consistent.<\/p><p dir=\"ltr\" data-sourcepos=\"15:1-15:561;2245-2805\">In most business footprints, it is none of those things. The category is stated hundreds of times across sources. The specialty might be stated clearly a handful of times, mostly on your own site, sometimes in different words each time. When the model weighs all of that together, the way <a href=\"https:\/\/frankmasotti.com\/insights\/how-ai-builds-a-picture-of-your-business-from-information-across-the-web\/\">how AI builds a picture of your business from information across the web<\/a> describes, the category is the pattern that dominates. The specialty gets averaged out.<\/p><h2 dir=\"ltr\" data-sourcepos=\"17:1-17:33;2807-2839\">Why Owners Rarely Notice This<\/h2><p dir=\"ltr\" data-sourcepos=\"19:1-19:489;2841-3329\">The reason this stays hidden is that recognition feels like the whole test. You ask AI about your business, it knows who you are, and that feels like passing. <a href=\"https:\/\/frankmasotti.com\/insights\/if-ai-mentions-my-business-it-must-understand-my-business-not-necessarily\/\">If AI mentions my business, it must understand my business<\/a> walks through why that instinct is misleading in general. The specialty version of the problem is even easier to miss, because nothing in the answer is wrong.<\/p><p dir=\"ltr\" data-sourcepos=\"21:1-21:561;3331-3891\">An answer that calls a seismic retrofit specialist an established structural engineering firm serving the region contains no errors. Every word is defensible. You read it, nothing jumps out as false, and you move on. This is the same trap explored in <a href=\"https:\/\/frankmasotti.com\/insights\/ai-does-not-need-to-get-every-fact-wrong-to-misunderstand-your-business\/\">AI does not need to get every fact wrong to misunderstand your business<\/a>: accuracy at the fact level and accuracy at the understanding level are separate tests, and most owners only run the first one.<\/p><p dir=\"ltr\" data-sourcepos=\"23:1-23:674;3893-4566\">There is a second reason the specialty disappears, and it comes from how specialists actually write. A business that lives and breathes its niche often stops saying it plainly. The specialty is communicated through project photos, case descriptions, and vocabulary that insiders recognize. The site demonstrates the specialty without stating it. Humans reading the site infer it easily. AI models are far more literal readers, as <a href=\"https:\/\/frankmasotti.com\/insights\/why-ai-takes-your-words-literally\/\">why AI takes your words literally<\/a> explains, and what is implied but never stated is exactly the kind of signal that fails to survive the trip into a model's understanding.<\/p><h2 dir=\"ltr\" data-sourcepos=\"25:1-25:41;4568-4608\">The Queries Where This Costs You Most<\/h2><p dir=\"ltr\" data-sourcepos=\"27:1-27:444;4610-5053\">Here is why this matters more than almost any other misreading. Category level queries are low intent. Someone asking an AI model for engineering firms in Phoenix is early in their search and comparing broadly. Specialty level queries are the opposite. Someone asking which firms handle seismic retrofits of unreinforced masonry buildings knows exactly what they need, has budget attached to the question, and is close to picking up the phone.<\/p><p dir=\"ltr\" data-sourcepos=\"29:1-29:564;5055-5618\">Those specialty queries are precisely where a flattened description excludes you. When the model holds you as a generic member of your category, it has no basis to surface you for the refined question. It recommends whoever its assembled picture says matches the specialty, which may be a competitor whose footprint states the niche more plainly than yours does. You built the business around the exact thing being asked about, and you are absent from the answer. Not because AI got a fact wrong, but because the fact that mattered never made it into the picture.<\/p><p dir=\"ltr\" data-sourcepos=\"31:1-31:444;5620-6063\">And this is happening earlier in the buying process than most owners assume. <a href=\"https:\/\/frankmasotti.com\/insights\/your-prospect-may-ask-ai-about-you-before-contacting-you\/\">Your prospect may ask AI about you before contacting you<\/a> covers that shift. For specialists, the stakes are concentrated: the whole value of a specialty is being the obvious answer to a narrow question, and a narrow question is exactly what AI now answers on your behalf.<\/p><p dir=\"ltr\" data-sourcepos=\"33:1-33:402;6065-6466\">The model will also deliver its generic version of you with complete confidence. There is no hedge in the answer that signals the specialty is missing. <a href=\"https:\/\/frankmasotti.com\/insights\/why-ai-sometimes-sounds-certain-when-its-understanding-is-incomplete\/\">Why AI sometimes sounds certain when its understanding is incomplete<\/a> explains why the fluency of the answer tells you nothing about its depth.<\/p><h2 dir=\"ltr\" data-sourcepos=\"35:1-35:44;6468-6511\">Why a Quick Self Test Will Not Settle It<\/h2><p dir=\"ltr\" data-sourcepos=\"37:1-37:860;6513-7372\">The natural next step is to ask ChatGPT what your business specializes in and see what comes back. That is worth doing, but it is one question, one phrasing, one model, one day. Models differ in what they hold about the same business, a gap covered in <a href=\"https:\/\/frankmasotti.com\/insights\/if-chatgpt-understands-my-business-gemini-and-claude-probably-do-too-not-necessarily\/\">if ChatGPT understands my business, Gemini and Claude probably do too<\/a>. One model may have your specialty intact while another has flattened it completely. And a direct question about your specialty is not the same as the buyer's question, which never mentions your name at all. <a href=\"https:\/\/frankmasotti.com\/insights\/one-ai-question-cannot-show-you-how-ai-understands-your-business\/\">One AI question cannot show you how AI understands your business<\/a> covers why the single sample misleads.<\/p><h2 dir=\"ltr\" data-sourcepos=\"39:1-39:51;7374-7424\">Where the AI Business Understanding Report Fits<\/h2><p dir=\"ltr\" data-sourcepos=\"41:1-41:717;7426-8142\">This is the specific gap the AI Business Understanding Report was built to expose. I ask ChatGPT, Claude, and Gemini about your business the way a buyer would, including the specialty level questions where your niche should make you the obvious answer. Then I document what each model actually holds: whether your specialty survived, where it got flattened into the category, and which sources appear to be feeding the generic version. <a href=\"https:\/\/frankmasotti.com\/answers-what-am-i-actually-buying.html\">What am I actually buying<\/a> explains the deliverable, and <a href=\"https:\/\/frankmasotti.com\/answers-why-three-ai-models.html\">why three AI models<\/a> explains why the comparison across models is where the useful findings live.<\/p><p dir=\"ltr\" data-sourcepos=\"43:1-43:233;8144-8376\">A specialty is the hardest thing to build and the easiest thing for AI to lose. If you want to know whether yours survived the translation, <a href=\"https:\/\/frankmasotti.com\/order-now.html\">order your AI Business Understanding Report here<\/a>.<\/p>\n","_links":{"self":[{"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/posts\/2478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/comments?post=2478"}],"version-history":[{"count":5,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/posts\/2478\/revisions"}],"predecessor-version":[{"id":2484,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/posts\/2478\/revisions\/2484"}],"wp:attachment":[{"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/media?parent=2478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/categories?post=2478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/frankmasotti.com\/insights\/wp-json\/wp\/v2\/tags?post=2478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}