{"id":3726,"date":"2026-07-16T17:55:09","date_gmt":"2026-07-16T17:55:09","guid":{"rendered":"https:\/\/freetoolr.com\/blog\/ai-tools-every-startup-should-use-to-grow-faster\/"},"modified":"2026-07-16T17:55:09","modified_gmt":"2026-07-16T17:55:09","slug":"ai-tools-every-startup-should-use-to-grow-faster","status":"publish","type":"post","link":"https:\/\/freetoolr.com\/blog\/ai-tools-every-startup-should-use-to-grow-faster\/","title":{"rendered":"AI Tools Every Startup Should Use to Grow Faster"},"content":{"rendered":"<p>Most startups do not fail because they lack ideas. They slow down because the team is buried in repetitive work, scattered data, and slow decision-making.<\/p>\n<p>That is exactly where AI tools help. The right tools can save hours each week, improve output quality, and help a small team operate like a much larger one. But using too many tools creates a different problem: cost, complexity, and messy workflows.<\/p>\n<p>This guide covers the AI tools every startup should use to grow faster, what each tool does best, and how to choose a practical stack without wasting budget. You will also see where founders commonly overcomplicate things and what to do instead.<\/p>\n<p><strong>Suggested Image:<\/strong> Startup team using AI tools across marketing, support, product, and operations<\/p>\n<h2>What are AI tools for startups?<\/h2>\n<p>AI tools for startups are software products that use machine learning, language models, automation, or predictive systems to help teams work faster and make better decisions. In practice, they are most useful when they reduce manual work, improve consistency, or uncover insights that would otherwise take too long to find.<\/p>\n<ul>\n<li>Content creation and editing<\/li>\n<li>Customer support and chat<\/li>\n<li>Sales outreach and CRM support<\/li>\n<li>Market research and analytics<\/li>\n<li>Design, image, and video production<\/li>\n<li>Meeting notes and team productivity<\/li>\n<li>Code generation and development support<\/li>\n<li>Workflow automation<\/li>\n<\/ul>\n<p>If your team also creates landing pages and SEO content, a lightweight utility like an <a href=\"https:\/\/freetoolr.com\/tools\/word-counter\/\">word counter tool<\/a> can help tighten copy, improve readability, and keep page structure under control.<\/p>\n<h2>Why startups benefit from AI more than large companies<\/h2>\n<p>Startups benefit from AI because they need speed more than process. A five-person team can use AI to produce content, summarize calls, answer support questions, and test ideas without waiting for more hires. That speed can make a real difference in early growth.<\/p>\n<p>Large companies often move slower because of approvals, compliance layers, and disconnected systems. Startups usually have more flexibility. They can test a tool in a single workflow, measure results, and keep only what saves time or improves outcomes.<\/p>\n<p>Here is the important part. AI does not replace clear thinking. It multiplies the quality of your current process. If your workflow is disorganized, AI will simply help you create disorganized work faster.<\/p>\n<table style=\"width:100%;border-collapse:collapse;margin:25px 0;font-size:16px;\">\n<tr>\n<th style=\"border:1px solid #d1d5db;padding:12px;background:#f8fafc;text-align:left;\">Startup Challenge<\/th>\n<th style=\"border:1px solid #d1d5db;padding:12px;background:#f8fafc;text-align:left;\">How AI Helps<\/th>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Small team with many roles<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Automates repeatable tasks and reduces busywork<\/td>\n<\/tr>\n<tr style=\"background:#f9fafb;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Limited marketing budget<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Speeds up content, research, and campaign testing<\/td>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Fast product iteration<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Improves coding, documentation, and user feedback analysis<\/td>\n<\/tr>\n<tr style=\"background:#f9fafb;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">High support demand<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Enables chatbots, routing, and instant response suggestions<\/td>\n<\/tr>\n<\/table>\n<h2>How to choose the right AI tools for your startup<\/h2>\n<p>The best AI tools for startups are not always the most advanced. They are the ones your team will actually use every week. Choose tools based on one thing: whether they save measurable time in a critical workflow.<\/p>\n<ol>\n<li>List your most repetitive tasks.<\/li>\n<li>Identify where delays hurt growth.<\/li>\n<li>Pick one tool per function first.<\/li>\n<li>Test with a small team for two weeks.<\/li>\n<li>Measure time saved, output quality, and adoption.<\/li>\n<li>Drop anything that adds friction.<\/li>\n<\/ol>\n<p>Before rolling out tools across the company, document your process. Even a simple checklist helps. If you need to share instructions or investor updates cleanly, a tool like a <a href=\"https:\/\/freetoolr.com\/tools\/pdf-merger\/\">PDF merger<\/a> is useful for combining reports, workflows, and one-pagers into a single file.<\/p>\n<h2>AI tools every startup should use to grow faster<\/h2>\n<p>If you are building your first AI stack, start with tools that support communication, content, customer interaction, and execution. These are the categories that usually produce the fastest payoff for startups.<\/p>\n<h3>1. AI writing and research tools<\/h3>\n<p>AI writing tools help startups draft blog posts, landing page copy, outreach emails, product descriptions, social captions, and internal documentation. Research tools help summarize sources, compare competitors, and organize ideas faster.<\/p>\n<p>Common use cases include:<\/p>\n<ul>\n<li>Writing first drafts for blog posts<\/li>\n<li>Creating email sequences and ad variations<\/li>\n<li>Summarizing industry reports<\/li>\n<li>Turning rough notes into structured documentation<\/li>\n<li>Generating FAQ sections and support content<\/li>\n<\/ul>\n<p>These tools work best when humans edit the final result. Google has made it clear that content should be helpful, reliable, and designed for people, not just ranking systems. You can review that directly in <a href=\"https:\/\/developers.google.com\/search\/docs\/fundamentals\/creating-helpful-content\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Google&#8217;s helpful content guidance<\/a>.<\/p>\n<p>If your startup publishes articles regularly, pair your drafting workflow with a <a href=\"https:\/\/freetoolr.com\/tools\/text-to-slug\/\">text to slug tool<\/a> to create clean, readable URLs for SEO.<\/p>\n<h3>2. AI meeting assistants<\/h3>\n<p>Meeting assistants record, transcribe, summarize, and extract action items. For remote teams, this can remove a major time drain. Instead of writing notes manually, your team can focus on the conversation and review highlights later.<\/p>\n<p>Strong features to look for:<\/p>\n<ul>\n<li>Accurate transcription<\/li>\n<li>Speaker identification<\/li>\n<li>Action item extraction<\/li>\n<li>CRM or task manager integrations<\/li>\n<li>Searchable archives<\/li>\n<\/ul>\n<p>This is especially useful for sales demos, product interviews, hiring calls, and investor meetings. If your team repurposes transcripts into blog posts or documentation, a <a href=\"https:\/\/freetoolr.com\/tools\/case-converter\/\">case converter tool<\/a> can help clean formatting quickly.<\/p>\n<h3>3. AI customer support tools<\/h3>\n<p>AI support tools answer common questions, suggest replies for agents, route tickets, and help customers find answers faster. For startups, this means shorter response times without hiring a large support team too early.<\/p>\n<p>Here is what experienced teams do differently. They do not ask AI to solve every support problem. They use it for the first layer of support:<\/p>\n<ul>\n<li>Password resets<\/li>\n<li>Order status questions<\/li>\n<li>Basic onboarding help<\/li>\n<li>Pricing questions<\/li>\n<li>Knowledge base recommendations<\/li>\n<\/ul>\n<p>Keep a human fallback for billing disputes, account security, and complex product issues. If you handle customer documents, make sure workflows follow trusted privacy and security practices from sources like the <a href=\"https:\/\/www.ftc.gov\/business-guidance\/privacy-security\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">FTC privacy and security guidance for businesses<\/a>.<\/p>\n<h3>4. AI sales tools<\/h3>\n<p>AI sales tools help startups find prospects, write outreach, score leads, and summarize CRM activity. They are most effective when they support the sales process rather than trying to replace relationship-building.<\/p>\n<p>Useful functions include:<\/p>\n<ul>\n<li>Lead enrichment<\/li>\n<li>Email personalization<\/li>\n<li>Call summary generation<\/li>\n<li>Pipeline forecasting<\/li>\n<li>Objection analysis<\/li>\n<\/ul>\n<p>Now comes the important part. Bad outreach gets worse when automated. AI can improve speed, but the offer still needs to be relevant. Keep messaging simple, specific, and tied to a real business problem.<\/p>\n<p>For teams reviewing campaign metrics or pricing models, a quick <a href=\"https:\/\/freetoolr.com\/tools\/percentage-calculator\/\">percentage calculator<\/a> can help compare conversion changes, response rates, or revenue growth without opening a spreadsheet.<\/p>\n<h3>5. AI marketing and SEO tools<\/h3>\n<p>Marketing teams use AI tools to speed up keyword research, content ideation, audience segmentation, ad optimization, and performance analysis. For startups trying to build organic traffic, these tools can reduce production time without sacrificing strategy.<\/p>\n<p>Look for capabilities such as:<\/p>\n<ul>\n<li>Content brief generation<\/li>\n<li>Keyword clustering<\/li>\n<li>SERP analysis<\/li>\n<li>Meta title and description drafting<\/li>\n<li>Ad copy testing<\/li>\n<li>Performance insight summaries<\/li>\n<\/ul>\n<p>Still, AI should not replace fundamentals. Follow technical and content quality best practices from <a href=\"https:\/\/developers.google.com\/search\/docs\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Google Search Central documentation<\/a>. If you also optimize images for page speed, an <a href=\"https:\/\/freetoolr.com\/tools\/image-compressor\/\">image compressor<\/a> is one of the easiest ways to improve load times and user experience.<\/p>\n<p><strong>Suggested Screenshot:<\/strong> SEO workflow showing content brief, article draft, and compressed blog images<\/p>\n<h3>6. AI design and image tools<\/h3>\n<p>Design tools powered by AI help startups create social graphics, product mockups, presentation visuals, brand variations, and quick edits. This is valuable when you need polished assets before you are ready to hire a full design team.<\/p>\n<p>Good use cases include:<\/p>\n<ul>\n<li>Resizing images for multiple channels<\/li>\n<li>Removing backgrounds<\/li>\n<li>Generating concept visuals<\/li>\n<li>Creating pitch deck graphics<\/li>\n<li>Editing product screenshots<\/li>\n<\/ul>\n<p>These tools save time, but brand consistency still matters. Create simple rules for colors, typography, and image style. If assets need resizing before upload, an <a href=\"https:\/\/freetoolr.com\/tools\/image-resizer\/\">image resizer<\/a> helps keep visual content consistent across your site and campaigns.<\/p>\n<h3>7. AI coding assistants<\/h3>\n<p>AI coding tools help developers write boilerplate, explain unfamiliar code, generate tests, and speed up debugging. For early-stage startups, they can reduce development bottlenecks without changing the core product roadmap.<\/p>\n<p>Best uses for coding assistants:<\/p>\n<ul>\n<li>Generating repetitive code structures<\/li>\n<li>Writing unit tests<\/li>\n<li>Explaining legacy snippets<\/li>\n<li>Creating documentation<\/li>\n<li>Suggesting edge cases<\/li>\n<\/ul>\n<p>This is where many teams struggle. They trust generated code too quickly. Always review security, logic, and performance. For web-related work, the <a href=\"https:\/\/developer.mozilla.org\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">MDN Web Docs<\/a> remain one of the most reliable references for checking implementation details.<\/p>\n<p>If your team works with raw text, snippets, or quick formatting for deployment notes, a <a href=\"https:\/\/freetoolr.com\/tools\/html-formatter\/\">HTML formatter<\/a> can help clean output before publishing.<\/p>\n<h3>8. AI automation tools<\/h3>\n<p>Automation platforms connect apps and trigger actions automatically. With AI added to those workflows, startups can classify tickets, summarize form submissions, enrich leads, or route tasks based on context instead of just fixed rules.<\/p>\n<p>Examples:<\/p>\n<ul>\n<li>Send inbound leads to the right sales rep<\/li>\n<li>Summarize support tickets before assignment<\/li>\n<li>Turn meeting notes into tasks<\/li>\n<li>Extract data from form entries<\/li>\n<li>Draft follow-up emails after demos<\/li>\n<\/ul>\n<p>Automation is powerful because it compounds. Saving five minutes on one task may not matter. Saving five minutes across 200 weekly actions does.<\/p>\n<h3>9. AI analytics and business intelligence tools<\/h3>\n<p>AI analytics tools help startups understand what is happening in the business without digging through dashboards manually. They can identify trends, explain changes, and highlight anomalies in sales, traffic, retention, or campaign performance.<\/p>\n<p>Helpful outputs include:<\/p>\n<ul>\n<li>Revenue trend summaries<\/li>\n<li>Funnel drop-off alerts<\/li>\n<li>Cohort comparisons<\/li>\n<li>Retention insights<\/li>\n<li>Forecast suggestions<\/li>\n<\/ul>\n<p>If you are constantly converting values for reports, a <a href=\"https:\/\/freetoolr.com\/tools\/unit-converter\/\">unit converter<\/a> can also be useful for teams dealing with logistics, manufacturing, health data, or global reporting formats.<\/p>\n<h2>Best AI tool stack for an early-stage startup<\/h2>\n<p>The best startup AI stack is small, practical, and connected. Most early-stage teams do not need ten separate AI systems. They need one tool for writing, one for meetings, one for support, one for automation, and one for analytics.<\/p>\n<table style=\"width:100%;border-collapse:collapse;margin:25px 0;font-size:16px;\">\n<tr>\n<th style=\"border:1px solid #d1d5db;padding:12px;background:#f8fafc;text-align:left;\">Business Function<\/th>\n<th style=\"border:1px solid #d1d5db;padding:12px;background:#f8fafc;text-align:left;\">Recommended AI Tool Type<\/th>\n<th style=\"border:1px solid #d1d5db;padding:12px;background:#f8fafc;text-align:left;\">Primary Goal<\/th>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Content<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Writing assistant<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Draft and edit faster<\/td>\n<\/tr>\n<tr style=\"background:#f9fafb;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Internal collaboration<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Meeting assistant<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Capture insights and action items<\/td>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Customer support<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Support chatbot or agent assistant<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Reduce response time<\/td>\n<\/tr>\n<tr style=\"background:#f9fafb;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Sales<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Lead enrichment and outreach AI<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Improve pipeline efficiency<\/td>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Operations<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Automation platform<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Reduce repetitive admin work<\/td>\n<\/tr>\n<tr style=\"background:#f9fafb;\">\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Analytics<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">AI BI assistant<\/td>\n<td style=\"border:1px solid #d1d5db;padding:12px;\">Spot performance changes quickly<\/td>\n<\/tr>\n<\/table>\n<h2>Common mistakes startups make with AI tools<\/h2>\n<p>Most AI failures in startups come from poor implementation, not bad software. Teams often buy too many tools, skip training, or expect perfect results from low-quality inputs. The result is wasted money and frustrated teams.<\/p>\n<ul>\n<li>Using too many overlapping tools<\/li>\n<li>Automating broken workflows<\/li>\n<li>Skipping human review for public content<\/li>\n<li>Ignoring privacy and security controls<\/li>\n<li>Failing to define success metrics<\/li>\n<li>Not documenting prompts or processes<\/li>\n<\/ul>\n<p>Here is the fix. Start with one use case. Track time saved and output quality. Then expand only when the process is stable.<\/p>\n<h2>How to implement AI tools without overwhelming your team<\/h2>\n<p>The easiest way to adopt AI is to solve one visible problem first. Pick a task everyone dislikes, improve it with a simple tool, and show the before-and-after result. Adoption rises when the value is obvious.<\/p>\n<ol>\n<li>Choose one workflow with high repetition.<\/li>\n<li>Assign one owner for setup and testing.<\/li>\n<li>Create a short standard operating procedure.<\/li>\n<li>Run a two-week pilot.<\/li>\n<li>Collect feedback from actual users.<\/li>\n<li>Measure impact on time, quality, and output.<\/li>\n<li>Keep, improve, or remove the tool.<\/li>\n<\/ol>\n<p><strong>Suggested Infographic:<\/strong> Simple 7-step AI adoption process for startups<\/p>\n<h2>How to measure whether an AI tool is worth the cost<\/h2>\n<p>An AI tool is worth paying for when it saves more time or drives more revenue than it costs. That sounds simple, but many startups never calculate it clearly. They judge tools by novelty instead of business impact.<\/p>\n<p>Measure these numbers:<\/p>\n<ul>\n<li>Hours saved per week<\/li>\n<li>Increase in content output or campaign velocity<\/li>\n<li>Improvement in response time<\/li>\n<li>Conversion rate changes<\/li>\n<li>Error reduction<\/li>\n<li>Total monthly software cost<\/li>\n<\/ul>\n<p>A quick formula looks like this:<\/p>\n<blockquote>\n<p><code>AI Tool Value = (Time Saved x Hourly Team Cost) + Revenue Uplift - Monthly Tool Cost<\/code><\/p>\n<\/blockquote>\n<p>If you want to estimate ROI more clearly, a simple calculator workflow with tools like a <a href=\"https:\/\/freetoolr.com\/tools\/percentage-calculator\/\">percentage calculator<\/a> or time-based spreadsheets can make decisions easier.<\/p>\n<h2>Are free AI tools enough for startups?<\/h2>\n<p>Free AI tools are often enough at the beginning, especially for testing use cases and team habits. They are ideal for content drafting, image editing, note summarization, and simple automations. But free plans usually come with usage limits, weaker integrations, and fewer admin controls.<\/p>\n<p>The answer depends on one thing. If a tool sits inside a core workflow like support, product development, or sales operations, paid plans are usually worth it sooner. If it is occasional or experimental, free versions are often fine.<\/p>\n<h2>Frequently asked questions<\/h2>\n<h3>Which AI tools should a startup use first?<\/h3>\n<p>Start with tools that save time in daily work: a writing assistant, a meeting note tool, a support assistant, and a simple automation platform. These usually create the fastest return because they reduce repetitive work across the whole team. Do not start with advanced tools unless you already have clean workflows and clear owners.<\/p>\n<h3>Are AI tools expensive for startups?<\/h3>\n<p>They can be, but they do not have to be. Many startups overspend by buying several overlapping tools at once. A better approach is to test one tool per function and only upgrade when usage becomes consistent. Focus on measurable gains like hours saved, faster response times, or more output from the same team.<\/p>\n<h3>Can AI tools replace employees in a startup?<\/h3>\n<p>No, not in the way many people assume. AI is best used to handle repetitive tasks, produce rough drafts, summarize information, or support decisions. It can reduce manual workload, but it still needs human direction, editing, and judgment. Startups grow faster when AI supports strong people rather than trying to replace them.<\/p>\n<h3>What is the best AI tool for startup marketing?<\/h3>\n<p>The best option depends on your main channel. For content-heavy teams, an AI writing and SEO research tool is often the most useful. For paid campaigns, AI ad testing and audience analysis tools may matter more. If you are just starting, pick a tool that helps you research topics, create briefs, and draft content faster.<\/p>\n<h3>Are AI-generated blog posts good for SEO?<\/h3>\n<p>They can be, but only when they are edited and improved by a human. Search engines care more about usefulness, originality, clarity, and trust than about whether AI helped with drafting. Thin or generic content performs poorly. Strong AI-assisted content still needs fact-checking, structure, examples, and a clear point of view.<\/p>\n<h3>How can startups use AI safely?<\/h3>\n<p>Start by limiting what data goes into each tool. Do not upload sensitive customer information, financial data, private code, or legal records without reviewing the platform&#8217;s policies and controls. Give your team clear rules for approved tools, review outputs before publishing, and keep humans involved in high-risk decisions and customer communication.<\/p>\n<h3>Should a startup use one all-in-one AI platform or several specialized tools?<\/h3>\n<p>In most cases, a small mix of specialized tools works better. All-in-one platforms can look simpler, but they are often weaker in one or two important areas. Use one tool for content, one for support, one for meetings, and one for automation if needed. Keep the stack lean and integrate only what supports core workflows.<\/p>\n<h3>What is the biggest mistake startups make with AI?<\/h3>\n<p>The biggest mistake is adding AI before fixing the process. If your sales outreach is unclear, your support docs are outdated, or your content lacks strategy, AI will only help you scale those problems. Clean up the workflow first. Then add AI to accelerate the parts that are already working reasonably well.<\/p>\n<h3>Can AI help a startup with customer support from day one?<\/h3>\n<p>Yes, especially for common questions and first-response handling. A support assistant can answer routine questions, suggest help articles, and route tickets to the right person. That said, startups should not rely on AI alone for sensitive issues like billing conflicts, security questions, or account-specific problems that need judgment.<\/p>\n<h3>How do I know if an AI tool is actually helping my team?<\/h3>\n<p>Look for measurable changes. The most useful signs are time saved, better response speed, more content shipped, fewer missed follow-ups, or improved consistency in output. If a tool is rarely used, constantly edited from scratch, or creates confusion, it is not helping enough. Track actual results, not excitement.<\/p>\n<h2>Final thoughts<\/h2>\n<p>The AI tools every startup should use to grow faster are the ones that solve real bottlenecks. Not the ones with the loudest marketing. Start with writing, meetings, support, automation, and analytics. Keep the stack small. Review results often. Remove tools that add complexity without clear value.<\/p>\n<p>If you are improving content workflows, SEO tasks, reports, or media assets, practical utilities can help just as much as bigger AI platforms. Tools like an <a href=\"https:\/\/freetoolr.com\/tools\/word-counter\/\">word counter tool<\/a>, <a href=\"https:\/\/freetoolr.com\/tools\/image-compressor\/\">image compressor<\/a>, <a href=\"https:\/\/freetoolr.com\/tools\/text-to-slug\/\">text to slug tool<\/a>, and <a href=\"https:\/\/freetoolr.com\/tools\/pdf-merger\/\">PDF merger<\/a> make day-to-day execution simpler.<\/p>\n<p>The goal is not to use more AI. The goal is to do better work with less friction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Most startups do not fail because they lack ideas. They slow down because the team is buried in repetitive work, scattered data, and slow decision-making. That is exactly where AI tools help. The right tools can save hours each week, improve output quality, and help a small team operate like a much larger one. But&#8230;<\/p>\n","protected":false},"author":1,"featured_media":3725,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[231],"tags":[],"class_list":["post-3726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-productivity"],"_links":{"self":[{"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/posts\/3726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/comments?post=3726"}],"version-history":[{"count":0,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/posts\/3726\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/media\/3725"}],"wp:attachment":[{"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/media?parent=3726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/categories?post=3726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/freetoolr.com\/blog\/wp-json\/wp\/v2\/tags?post=3726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}