{"id":774,"date":"2026-11-04T09:01:10","date_gmt":"2026-11-04T09:01:10","guid":{"rendered":"https:\/\/keyworth.co\/blog\/programmatic-content-generation"},"modified":"2026-11-04T09:01:16","modified_gmt":"2026-11-04T09:01:16","slug":"programmatic-content-generation","status":"publish","type":"post","link":"https:\/\/keyworth.co\/blog\/programmatic-content-generation","title":{"rendered":"5 Programmatic Content Generation Tools for Bloggers"},"content":{"rendered":"<p><script type=\"application\/ld+json\">{\"url\":\"https:\/\/keyworth.co\/blog\/programmatic-content-generation\",\"@type\":\"Article\",\"author\":{\"name\":\"Abayomi Adenekan\",\"@type\":\"Person\",\"image\":\"https:\/\/dynareach.co\/wp-content\/uploads\/2025\/09\/MJ1-1.jpg\",\"jobTitle\":\"SEO Specialist, 10+ years\",\"description\":\"Abayomi \u201cYomi\u201d Adenekan built Keyworth. He has spent over ten years in growth marketing, SEO, and product. He began as a web developer and email marketing specialist, moved into paid media managing $13M a year in ad spend, and now leads growth at a podcast incubator with 1,300+ creators. He also runs Dynareach, his own SEO, web development, and branding agency. He holds an M.Sc. in Data-Driven Marketing from Universidade NOVA de Lisboa and lives in Lisbon.\"},\"@context\":\"https:\/\/schema.org\",\"headline\":\"5 Programmatic Content Generation Tools for Bloggers\",\"publisher\":{\"url\":\"https:\/\/keyworth.co\",\"name\":\"Keyworth\",\"@type\":\"Organization\"},\"description\":\"Compare 5 programmatic content generation tools for bloggers, covering CMS publishing, dataset mapping, and the 20-page pilot rule.\",\"dateModified\":\"2026-11-04T06:09:36.77859+00:00\",\"datePublished\":\"2026-10-19T15:45:17.212625+00:00\",\"mainEntityOfPage\":\"https:\/\/keyworth.co\/blog\/programmatic-content-generation\",\"image\":[\"https:\/\/kzvpvjjbqvmgluaudrhi.supabase.co\/storage\/v1\/object\/public\/article-images\/0991d262-1977-4a98-92cd-0ae35050eb9a\/featured.jpg\"]}<\/script><br \/>\n<script type=\"application\/ld+json\">{\"@type\":\"FAQPage\",\"@context\":\"https:\/\/schema.org\",\"mainEntity\":[{\"name\":\"What architectural shift separates programmatic generation from standard blogging?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"B2B SaaS content teams typically produce 8 to 12 blog posts a month. That's a person, a keyword, a draft, an edit, a publish, repeated. At that pace, covering 1,000 target queries takes years, according to Discovered Labs' implementation guide . The math doesn't bend. One writer, one keyword, one page: that ratio caps how much ground you can cover no matter how good the writer is. Programmatic SEO breaks that ratio by swapping the writer-per-page model for a template-per-pattern model.\",\"@type\":\"Answer\"}},{\"name\":\"How do you protect your programmatic blog against Google search penalties?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Publish the full batch on day one, and you're betting the entire program on an untested template. Publish a small batch first, and you get a read on whether Google will index the pattern at all before you've burned the effort on the rest. Outrank's programmatic SEO guide recommends publishing an initial pilot of 20 to 50 pages, then watching the Google Search Console indexing report for several weeks before scaling production further.\",\"@type\":\"Answer\"}},{\"name\":\"What is programmatic SEO?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Programmatic SEO is generating many pages from one dataset combined with one content template, aimed at long-tail keyword patterns rather than single keywords. The dataset, not the template, is what makes each page worth ranking; a template applied to thin or repetitive data produces thin, repetitive pages no matter how polished the template looks.\",\"@type\":\"Answer\"}},{\"name\":\"How many pages should I publish before scaling up?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Start with 20 to 50 pages, not your full target count. Outrank's guide recommends this pilot size specifically so you can check Google Search Console's indexing report over several weeks before committing to the rest. If the pilot pages don't get indexed, that's a sign the template or dataset needs work, and finding that out at 50 pages costs far less than finding it out at 2,000.\",\"@type\":\"Answer\"}},{\"name\":\"Is programmatic content automatically a search penalty risk?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Not automatically, but it depends on whether each page adds value beyond the keyword slotted into it. Google's scaled content abuse policy targets mass page generation \\\"without adding value for users,\\\" not automation itself. A page built from a real dataset, with a working tool, chart, table, or specific data point unique to that row, passes a simple test: remove the keyword, and see if what's left is still useful and distinct from its sibling pages.\",\"@type\":\"Answer\"}},{\"name\":\"Do I need a different tool for keyword research versus publishing?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Often yes, because the two jobs solve different problems. SEOmatic's breakdown notes that a full programmatic stack covers five separate functions: keyword research, dataset building, template building, publishing, and indexing or monitoring, and most programs fail specifically at the template and publishing stage rather than at research. A spreadsheet can handle research. Turning that spreadsheet into hundreds of live, indexed pages without manual work per page usually needs dedicated tooling.\",\"@type\":\"Answer\"}},{\"name\":\"What's the minimum keyword pattern size worth building a template for?\",\"@type\":\"Question\",\"acceptedAnswer\":{\"text\":\"Fifty variations with documented search demand, according to SEOmatic's keyword research guide . Below that threshold, writing individual pages by hand is more efficient than building and maintaining a template. The pattern needs to be real, meaning each modifier carries actual search volume, not just a plausible-sounding variation with no one searching for it. Running the pilot-batch check from this list is the easy part.\",\"@type\":\"Answer\"}}]}<\/script><\/p>\n<p>A currency converter site built one page per currency pair and let the dataset do the work: live rates, a 48-hour-to-5-year chart, 30- and 90-day highs, a conversion table, an FAQ.  Nothing on it\u2019s filler, and nothing about it required a writer to sit down and compose 30,000 words by hand.<\/p>\n<p>Programmatic SEO tools exist to build that kind of page at scale: one template, one dataset, thousands of rows, each page useful on its own.  The right tool fits the dataset and publishing target; the wrong one just produces more pages faster, which isn\u2019t the same thing as more value.<\/p>\n<p>Ranking here follows what each source documents about the tool&#8217;s actual function: which of the five jobs in a programmatic stack it covers (keyword research, dataset building, template building, publishing, indexing and monitoring), who it&#8217;s built for, and what its own product pages or comparison pages state about price and capability. No tool here\u2019s ranked by a star rating pulled from a review aggregator; each entry reflects what the vendor&#8217;s own materials or named comparison source says it does.<\/p>\n<h2>What architectural shift separates programmatic generation from standard blogging?<\/h2>\n<p>B2B SaaS content teams typically produce 8 to 12 blog posts a month. That&#8217;s a person, a keyword, a draft, an edit, a publish, repeated. At that pace, covering 1,000 target queries takes years, according to <a href=\"https:\/\/discoveredlabs.com\/blog\/how-to-build-programmatic-seo-pages-step-by-step-implementation-guide\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Discovered Labs&#8217; implementation guide<\/a>. The math doesn&#8217;t bend. One writer, one keyword, one page: that ratio caps how much ground you can cover no matter how good the writer is.<\/p>\n<p>Programmatic SEO breaks that ratio by swapping the writer-per-page model for a template-per-pattern model. But the pattern only works if the modifier list is real. <a href=\"https:\/\/seomatic.ai\/blog\/programmatic-seo-keyword-research\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">SEOmatic&#8217;s keyword research guide<\/a> sets a minimum viable modifier pool at 50 variations that carry documented search demand before you build out a template. Fewer than that, and one-off writing beats the template approach on efficiency.<\/p>\n<p>This is the part a lot of niche site builders skip. They see &#8220;programmatic&#8221; and think &#8220;more pages, faster,&#8221; then discover the pattern doesn&#8217;t have 50 real variants behind it. Fifteen modifiers with search volume and thirty-five with none isn&#8217;t a programmatic opportunity. It&#8217;s a short list dressed up as a long one.<\/p>\n<figure class=\"article-image\"><img src=\"https:\/\/kzvpvjjbqvmgluaudrhi.supabase.co\/storage\/v1\/object\/public\/article-images\/0991d262-1977-4a98-92cd-0ae35050eb9a\/inline-0.jpg\" alt=\"A woman wearing headphones types on a laptop at a wooden table\" loading=\"lazy\" decoding=\"async\"><\/figure>\n<h2>Byword: best for multi-CMS publishing and citation research<\/h2>\n<p>Publishing a thousand pages is easy. Publishing a thousand pages that cite real sources and land correctly across six different platforms is a different problem, and most tools solve one half of it. Byword is built for the half that usually gets ignored.<\/p>\n<p>Byword runs programmatic campaigns through custom templates and pulls in real-time web research with citations built into the output, according to <a href=\"https:\/\/byword.ai\/compare\/byword-vs\/article-forge\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Byword&#8217;s comparison page against Article Forge<\/a>. That same page lists direct publishing to six or more CMS platforms as one of its core capabilities. For a publisher running more than one site, or a site that migrated CMS platforms mid-project, that cross-platform publishing matters more than any single feature inside the editor.<\/p>\n<p>The citation piece is worth separating out. A lot of programmatic templates generate confident-sounding claims with nothing behind them, which is exactly the kind of thin output that gets flagged. A tool that attaches research and citations as part of generation, rather than as an afterthought you bolt on later, changes what the first draft of each page actually looks like.<\/p>\n<p><strong>Best for:<\/strong><\/p>\n<ul>\n<li>Publishers running multiple CMS platforms who need one tool to push to all of them<\/li>\n<li>Templates that need sourced claims, not generic filler text<\/li>\n<\/ul>\n<p><strong>Watch out for:<\/strong><\/p>\n<ul>\n<li>Custom template setup takes more configuration than a single-platform tool<\/li>\n<li>Citation quality still depends on what the underlying research step finds<\/li>\n<\/ul>\n<p><strong>Sourced stat:<\/strong> Byword&#8217;s own comparison page names direct publishing to &#8220;6+ different CMS platforms&#8221; as a listed capability, alongside support for custom programmatic templates and real-time research with citations.<\/p>\n<h2>Slate: best for governed SaaS workflows and AI search visibility<\/h2>\n<p>Picking a tool because it generates pages fast is the wrong first question for a B2B team. The right first question is whether anyone in AI Overviews, ChatGPT, or Perplexity will ever cite the page, and whether a brand team can sign off on what gets published before it goes live. Slate was built around that second set of concerns.<\/p>\n<p>According to <a href=\"https:\/\/slatehq.com\/blog\/programmatic-seo-tools\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Slate&#8217;s own programmatic SEO tools guide<\/a>, the platform combines direct CMS publishing with governed workflows and AI search visibility tracking. That same source ranks Slate first among the tools it reviews specifically for SaaS teams that need governance and AI search visibility together, rather than just raw output volume.<\/p>\n<p>The trade-off is scope. A solo niche site builder publishing affiliate roundups doesn&#8217;t need a governance layer; approval workflows add steps where a one-person operation doesn&#8217;t have anyone to approve anything. Slate&#8217;s design decisions, built for teams where legal, brand, and content people all need visibility before a page ships, make sense for a company with those teams. They add overhead for someone working alone.<\/p>\n<p><strong>Best for:<\/strong><\/p>\n<ul>\n<li>SaaS marketing teams that need sign-off steps before pages publish<\/li>\n<li>Teams tracking whether their pages get cited in AI answer engines, not just ranked in search<\/li>\n<\/ul>\n<p><strong>Watch out for:<\/strong><\/p>\n<ul>\n<li>Governance workflows assume you have people to route approvals through<\/li>\n<li>Built around SaaS use cases, so non-SaaS niche sites may find features aimed at a different buyer<\/li>\n<\/ul>\n<p><strong>Sourced stat:<\/strong> Slate&#8217;s guide states the tool &#8220;ranks #1 for B2B SaaS teams&#8221; on criteria that include AI search visibility, governed workflows, and brand-safe execution at scale.<\/p>\n<h2>SEOmatic: best for automating template and publishing layers<\/h2>\n<p>Every programmatic SEO stack needs five things to work: keyword research, dataset building, template building, publishing at scale, and indexing or monitoring. Miss any one, and the whole program breaks somewhere down the line.<\/p>\n<p><a href=\"https:\/\/seomatic.ai\/blog\/programmatic-seo-tools\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">SEOmatic&#8217;s own breakdown of programmatic SEO tools<\/a> points to template building and publishing as where most failed programs actually get stuck. Keyword research is approachable with a spreadsheet. Dataset building is manageable by hand if the dataset isn&#8217;t huge. But turning a clean dataset into 500 indexed pages without doing manual work on each one is a different kind of problem, and it&#8217;s the one SEOmatic targets directly.<\/p>\n<p>A team with a clean spreadsheet of 2,000 rows and no way to turn them into indexed, templated pages doesn&#8217;t need another keyword research tool. It needs the template and publishing layer SEOmatic is built around. A team still arguing over which modifier pattern has real search volume has a different problem, and a different tool solves it.<\/p>\n<p><strong>Best for:<\/strong><\/p>\n<ul>\n<li>Teams with a validated dataset who are stuck turning it into actual published pages<\/li>\n<li>Programs where manual, page-by-page publishing has become the bottleneck<\/li>\n<\/ul>\n<p><strong>Watch out for:<\/strong><\/p>\n<ul>\n<li>Doesn&#8217;t replace the keyword research step; you still need a validated modifier pool first<\/li>\n<li>A gap in dataset quality upstream will still produce thin pages downstream, no matter how good the template layer is<\/li>\n<\/ul>\n<p><strong>Sourced stat:<\/strong> SEOmatic&#8217;s own guide states that &#8220;most failed programs are missing tooling in functions 3 and 4&#8221; (template building and publishing), identifying that pairing as the typical point of failure.<\/p>\n<h2>WP All Import: best for mapping complex datasets into WordPress<\/h2>\n<p>A lot of niche site builders sit on a dataset, a CSV from a supplier, an XML export from an API, a spreadsheet of product specs, and have no clean way to get it into WordPress without hand-entering every row. That&#8217;s the exact problem WP All Import is built to solve.<\/p>\n<p>The plugin imports both simple CSVs and complex XML files into WordPress without requiring the user to have expert technical knowledge, according to <a href=\"https:\/\/www.wpallimport.com\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">WP All Import&#8217;s own site<\/a>. It doesn&#8217;t matter what shape the data arrives in; the tool is built to map fields into WordPress posts, pages, or custom post types without a developer translating the structure first.<\/p>\n<p>The implication for programmatic publishers is direct: the dataset is the asset, and anything that makes moving a dataset into a CMS faster and less error-prone removes one of the biggest manual bottlenecks in the whole workflow. A mapping tool doesn&#8217;t write the content or decide whether the template adds real value page to page. It solves a narrower, specific problem: getting rows of structured data into WordPress without a developer on staff.<\/p>\n<p><strong>Best for:<\/strong><\/p>\n<ul>\n<li>Bloggers and affiliate publishers whose dataset already exists in CSV or XML form<\/li>\n<li>WordPress sites that need dataset imports without hiring technical help<\/li>\n<\/ul>\n<p><strong>Watch out for:<\/strong><\/p>\n<ul>\n<li>Importing data isn&#8217;t the same as generating content from it; WP All Import maps fields, it doesn&#8217;t write copy<\/li>\n<li>Complex field mapping across custom post types can still take setup time even without coding<\/li>\n<\/ul>\n<p><strong>Sourced stat:<\/strong> WP All Import&#8217;s own site states it handles &#8220;simple CSVs, complex XML&#8221; alike, without requiring the user to be &#8220;an expert&#8221; to do the import.<\/p>\n<h2>AirOps: best for structured content workflows and multi-tool pipelines<\/h2>\n<p>Free tools are a fine way to test an idea; they\u2019re a bad way to run a program. AirOps makes that line explicit rather than hiding it behind a single pricing page.<\/p>\n<p>AirOps offers free tools for minor content generation tasks, while anything more complicated requires a paid plan, according to AirOps&#8217; own comparison of AI writing tools. That same source puts general AI writing tool pricing in a range of $25 to $250 a month depending on features like SEO optimization, content briefs, and bulk generation.<\/p>\n<p>What that means for a reader building a pipeline rather than a single blog post: AirOps fits teams stitching together multiple steps, research, drafting, formatting, into one workflow, where the free tier covers a quick test and the paid tier covers actual production volume. A solo blogger testing one pattern on fifty rows might never need to leave the free tier. A publisher running bulk generation across several datasets will hit the ceiling fast, and should budget for the paid plan from the start rather than treating it as a surprise upgrade.<\/p>\n<p><strong>Best for:<\/strong><\/p>\n<ul>\n<li>Teams that want to test a workflow on the free tier before committing budget<\/li>\n<li>Multi-step content pipelines where generation is only one part of the process<\/li>\n<\/ul>\n<p><strong>Watch out for:<\/strong><\/p>\n<ul>\n<li>Free tools are scoped to &#8220;minor&#8221; tasks; bulk or complex generation requires payment<\/li>\n<li>Monthly cost for comparable AI writing tools in this category runs $25 to $250 depending on feature depth<\/li>\n<\/ul>\n<p><strong>Sourced stat:<\/strong> AirOps&#8217; own blog states that advanced features like &#8220;SEO optimization, content briefs, and bulk content generation&#8221; fall in the $25 to $250 per month range across AI writing tools generally, with AirOps&#8217; own free tools limited to minor tasks.<\/p>\n<h2>How do you protect your programmatic blog against Google search penalties?<\/h2>\n<p>Publish the full batch on day one, and you&#8217;re betting the entire program on an untested template. Publish a small batch first, and you get a read on whether Google will index the pattern at all before you&#8217;ve burned the effort on the rest.<\/p>\n<p>Outrank&#8217;s programmatic SEO guide recommends publishing an initial pilot of 20 to 50 pages, then watching the Google Search Console indexing report for several weeks before scaling production further. Pages that don&#8217;t get indexed are telling you something concrete: the template isn&#8217;t producing enough distinct value page to page, and no amount of additional volume fixes that.<\/p>\n<p>The trade-off is speed against risk.  A pilot batch delays the moment you hit your full target page count.  But Google&#8217;s scaled content abuse policy names &#8220;using generative AI tools or other similar tools to generate many pages without adding value for users&#8221; directly, according to that same Outrank guide, regardless of which tool produced the pages.  The test the guide suggests is blunt and useful: remove the keyword from a page.<\/p>\n<p>If what&#8217;s left still reads as useful and different from its sibling pages, ship it.  If removing the keyword leaves a shell with nothing distinct underneath, that page, and likely its whole sibling set, is a liability rather than an asset.  Waiting a few weeks on a 20-to-50-page pilot costs you time.  Skipping that check and finding out at 2,000 pages costs you the domain&#8217;s standing.<\/p>\n<figure class=\"article-image\"><img src=\"https:\/\/kzvpvjjbqvmgluaudrhi.supabase.co\/storage\/v1\/object\/public\/article-images\/0991d262-1977-4a98-92cd-0ae35050eb9a\/inline-1.jpg\" alt=\"A woman in a black jacket sits behind a laptop beside a plant\" loading=\"lazy\" decoding=\"async\"><\/figure>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is programmatic SEO?<\/h3>\n<p>Programmatic SEO is generating many pages from one dataset combined with one content template, aimed at long-tail keyword patterns rather than single keywords. The dataset, not the template, is what makes each page worth ranking; a template applied to thin or repetitive data produces thin, repetitive pages no matter how polished the template looks.<\/p>\n<h3>How many pages should I publish before scaling up?<\/h3>\n<p>Start with 20 to 50 pages, not your full target count. Outrank&#8217;s guide recommends this pilot size specifically so you can check Google Search Console&#8217;s indexing report over several weeks before committing to the rest. If the pilot pages don&#8217;t get indexed, that&#8217;s a sign the template or dataset needs work, and finding that out at 50 pages costs far less than finding it out at 2,000.<\/p>\n<h3>Is programmatic content automatically a search penalty risk?<\/h3>\n<p>Not automatically, but it depends on whether each page adds value beyond the keyword slotted into it. Google&#8217;s scaled content abuse policy targets mass page generation &#8220;without adding value for users,&#8221; not automation itself. A page built from a real dataset, with a working tool, chart, table, or specific data point unique to that row, passes a simple test: remove the keyword, and see if what&#8217;s left is still useful and distinct from its sibling pages. Pages that fail that test are the ones at risk, whatever tool produced them.<\/p>\n<h3>Do I need a different tool for keyword research versus publishing?<\/h3>\n<p>Often yes, because the two jobs solve different problems. <a href=\"https:\/\/seomatic.ai\/blog\/programmatic-seo-tools\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">SEOmatic&#8217;s breakdown<\/a> notes that a full programmatic stack covers five separate functions: keyword research, dataset building, template building, publishing, and indexing or monitoring, and most programs fail specifically at the template and publishing stage rather than at research. A spreadsheet can handle research. Turning that spreadsheet into hundreds of live, indexed pages without manual work per page usually needs dedicated tooling.<\/p>\n<h3>What&#8217;s the minimum keyword pattern size worth building a template for?<\/h3>\n<p>Fifty variations with documented search demand, according to <a href=\"https:\/\/seomatic.ai\/blog\/programmatic-seo-keyword-research\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">SEOmatic&#8217;s keyword research guide<\/a>. Below that threshold, writing individual pages by hand is more efficient than building and maintaining a template. The pattern needs to be real, meaning each modifier carries actual search volume, not just a plausible-sounding variation with no one searching for it.<\/p>\n<hr \/>\n<section class=\"article-close\">\n<p>Running the pilot-batch check from this list is the easy part. Catching a thin template before it reaches 2,000 pages, and building a dataset that actually earns 50 distinct rows, takes more judgment than most automated workflows apply on their own. <a href=\"https:\/\/keyworth.co\">Contact Keyworth<\/a> to talk through your next step.<\/p>\n<p><strong>Book a call with us to see how it fits your site.<\/strong><br \/>\n<\/section>\n<section class=\"about-the-author\" itemscope itemtype=\"https:\/\/schema.org\/Person\">\n<h2>About the author<\/h2>\n<p><img src=\"https:\/\/dynareach.co\/wp-content\/uploads\/2025\/09\/MJ1-1.jpg\" alt=\"Abayomi Adenekan\" class=\"author-headshot\" width=\"96\" height=\"96\" loading=\"lazy\" itemprop=\"image\" decoding=\"async\"><\/p>\n<p><strong itemprop=\"name\">Abayomi Adenekan<\/strong><\/p>\n<p><em itemprop=\"jobTitle\">SEO Specialist, 10+ years<\/em><\/p>\n<p itemprop=\"description\">Abayomi \u201cYomi\u201d Adenekan built Keyworth. He has spent over ten years in growth marketing, SEO, and product. He began as a web developer and email marketing specialist, moved into paid media managing $13M a year in ad spend, and now leads growth at a podcast incubator with 1,300+ creators. He also runs Dynareach, his own SEO, web development, and branding agency. He holds an M.Sc. in Data-Driven Marketing from Universidade NOVA de Lisboa and lives in Lisbon.<\/p>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Compare 5 programmatic content generation tools for bloggers, covering CMS publishing, dataset mapping, and the 20-page pilot rule.<\/p>\n","protected":false},"author":1,"featured_media":773,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-774","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/posts\/774","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/comments?post=774"}],"version-history":[{"count":1,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/posts\/774\/revisions"}],"predecessor-version":[{"id":775,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/posts\/774\/revisions\/775"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/media\/773"}],"wp:attachment":[{"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/media?parent=774"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/categories?post=774"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/keyworth.co\/blog\/wp-json\/wp\/v2\/tags?post=774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}