{"id":76415,"date":"2026-06-06T09:04:15","date_gmt":"2026-06-06T06:04:15","guid":{"rendered":"https:\/\/twodots.gr\/?p=76415"},"modified":"2026-06-06T09:36:57","modified_gmt":"2026-06-06T06:36:57","slug":"pos-i-techniti-noimosyni-allazei-ti-symperifora-ton-christon-stis-michanes-anazitisis","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/pos-i-techniti-noimosyni-allazei-ti-symperifora-ton-christon-stis-michanes-anazitisis\/","title":{"rendered":"How artificial intelligence is changing user behaviour in search engines"},"content":{"rendered":"<div class=\"td-article-toc\"><div class=\"td-toc-title\">Contents<\/div><ul><li><a href=\"#ai-search-ti-allazei-sti-symperifora-anazitisis\">AI Search: what changes in search behaviour<\/a><\/li><li><a href=\"#ta-dedomena-deichnoyn-ligotera-clicks-kai-perissoteres-apantiseis-mesa-sti-selida\">Data shows fewer clicks and more responses on the page<\/a><\/li><li><a href=\"#giati-to-klasiko-seo-den-arkei-pleon-apo-mono-toy\">Why classic SEO alone is no longer enough<\/a><\/li><li><a href=\"#step-by-step-odigos-gia-e-commerce-stratigiki-sto-ai-search\">Step-by-Step guide to e-commerce strategy in AI Search<\/a><\/li><li><a href=\"#pos-na-metrisete-an-kerdizete-sto-neo-perivallon\">How to measure whether you are winning in the new environment<\/a><\/li><\/ul><\/div>\n\n\n<div class=\"td-article-lede\"><p>The article summarizes the most important points and turns them into practical steps for businesses that want better organic visibility, a cleaner user experience and more reliable content.<\/p><\/div>\n\n<p>AI Search is not just another small change in the way search engines work. It's a behavioural change. For an e-commerce owner, it means that a customer no longer just types in \u00abmen's sneakers black\u00bb or \u00abbest moisturizer for dry skin\u00bb. He asks in natural language, compares options, asks for personalized suggestions, waits for a short summary and, in many cases, gets an answer without visiting any website. HubSpot's article on AI search behavior highlights exactly this shift: users aren't abandoning search, but are reframing it around conversational search, speed, trust and immediate utility. For brands, it's no longer just about \u00abgetting on Google first\u00bb. It's to become the source worth mentioning, summarizing and recommending from AI-powered results, AI Overviews, ChatGPT Search and other discovery interfaces. <span class=\"td-inline-links\">See also: <a href=\"https:\/\/twodots.gr\/digital-marketing-seo\/\">Digital Marketing &amp; SEO<\/a>, <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">business automation &amp; AI<\/a>, <a href=\"https:\/\/twodots.gr\/kataskevi-istoselidon\/\">website construction<\/a>, <a href=\"https:\/\/twodots.gr\/kataskevi-eshop\/\">e-shop construction<\/a>.<\/span><\/p>\n<h2 id=\"ai-search-ti-allazei-sti-symperifora-anazitisis\">AI Search: what changes in search behaviour<\/h2>\n\n<div class=\"td-article-note\"><strong>Practical reading:<\/strong> Keep from the topic of the article what can be turned into a cleaner user experience, better documentation and a more measurable business decision.<\/div>\n\n<p>In traditional search, the user would enter a short phrase, scan ten organic results, open multiple tabs and compile the answer themselves. With AI Search, the process is condensed. The user describes the problem with more context, such as \u00abI want shoes for walking in the city, comfortable, under 120 euros and to match smart casual outfits.\u00bb This change shifts the value from simple keyword matching to search intent, semantic understanding and quality of response. AI search favours content that answers real questions, explains trade-offs, provides examples, compares options and demonstrates experience. Simply put, SEO is becoming less mechanical and more strategic: you need to design content that helps humans while being clear enough for engines to understand.<\/p>\n<p>For e-commerce, the change is even more critical because it affects the entire customer journey. Product discovery, product discovery, is no longer limited to an eshop's categories or sponsored results. It can start in an AI assistant, continue in a Google AI Overview and end in a marketplace, a comparison site or directly to the brand. If your content doesn't offer clear answers to price, usage, materials, dimensions, comparisons, reviews, after-sales and frequently asked questions, then the AI model has less reason to include you in the synthetic response. Conversely, a brand with strong brand authority, documented product pages, purchase guides, structured data and a consistent digital presence has a much better chance of showing up in the new environment.<\/p>\n<h2 id=\"ta-dedomena-deichnoyn-ligotera-clicks-kai-perissoteres-apantiseis-mesa-sti-selida\">Data shows fewer clicks and more responses on the page<\/h2>\n\n<p class=\"td-comparison-title\">Clicks are decreasing, but the influence of the brand does not disappear<\/p><div class=\"td-comparison-cards\"><div class=\"td-platform-card\"><h3>Measurement only with organic clicks<\/h3><p>If you're evaluating performance from traffic alone, AI summaries look like a simple loss of visits. But this loses the visibility generated before the user clicks on a result.<\/p><div class=\"td-badge-row\"><span class=\"td-badge\">Clicks<\/span><span class=\"td-badge\">Traffic<\/span><\/div><\/div><div class=\"td-platform-card td-platform-card--navy\"><h3>Measurement of visibility within the response<\/h3><p>In AI Search you need to monitor whether the brand is showing up in responses, whether branded searches are increasing, and whether the users who eventually reach the site are more ready to compare or buy.<\/p><div class=\"td-badge-row\"><span class=\"td-badge\">AI visibility<\/span><span class=\"td-badge\">Branded demand<\/span><\/div><\/div><\/div>\n\n<p>The most practical consequence of AI Search is that it increases the likelihood that the user will get the information within the search environment itself. This doesn't mean that websites stop being valuable. But it does mean that the click is no longer a given, even when a brand influences the purchase decision. According to a Pew Research Center analysis of user behavior on Google, when an AI summary was displayed, users clicked on a traditional result at a rate of 8%, while when no AI summary was displayed the corresponding rate was 15%. Meanwhile, users terminated the browsing session at a rate of 26% when AI summary was present, compared to 16% when it was not. This is a strong signal for e-commerce teams: measuring success cannot be limited to organic traffic alone, but must take into account branded search lift, assisted conversions, visibility into AI responses and content quality.<\/p>\n<p>As shown in the graph below, the presence of AI summary substantially alters user behavior after search.<\/p>\n\n<div class=\"td-chart td-chart--horizontal\"><p class=\"td-chart-title\">User behaviour when AI Summary appears<\/p><p class=\"td-chart-subtitle\">Source: Pew Research Center, Google searches analysis, 2025<\/p><div class=\"td-chart-body\"><div class=\"td-chart-row\"><div class=\"td-chart-label\">Click to result<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width:8.0%\"><\/div><\/div><div class=\"td-chart-value\">8%<\/div><\/div><div class=\"td-chart-row\"><div class=\"td-chart-label\">End session<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width:26.0%\"><\/div><\/div><div class=\"td-chart-value\">26%<\/div><\/div><\/div><\/div>\n\n<p>The proliferation of AI Overviews also shows that change is not theoretical. Semrush recorded that AI Overviews appeared in 6,49% of desktop Google searches in January 2025 and 13,14% in March 2025. This rise, in such a short period of time, explains why many businesses are seeing fluctuations in organic clicks even when their rankings haven't crashed. For an eshop, especially in categories with intense pre-purchase research, such as technology, cosmetics, supplements, fashion, home goods or B2B products, the new reality requires a different content design: more documentation, better structure, cleaner answers and a stronger E-E-A-T.<\/p>\n<p>The graph below illustrates the increase in the occurrence of AI Overviews in desktop searches according to the data available from Semrush.<\/p>\n\n<div class=\"td-chart td-chart--line td-chart--line-compact-labels\"><p class=\"td-chart-title\">Increase AI Overviews in Google searches<\/p><p class=\"td-chart-subtitle\">Source: Semrush, AI Overviews study, January-March 2025<\/p><div class=\"td-chart-body\"><div class=\"td-chart-line-wrap\"><svg class=\"td-chart-svg-line\" viewbox=\"0 0 100 100\" preserveaspectratio=\"none\"><line class=\"td-chart-line-segment\" x1=\"2.00\" y1=\"98.00\" x2=\"98.00\" y2=\"2.00\" \/><\/svg><div class=\"td-chart-node-html\" style=\"--x:2.00%;--y:2.00%\"><\/div><div class=\"td-chart-node-html\" style=\"--x:98.00%;--y:98.00%\"><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:2.00%;--y:2.00%\"><span class=\"td-chart-point-label\">January 2025<\/span><span class=\"td-chart-point-val\">6.49%<\/span><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:98.00%;--y:98.00%\"><span class=\"td-chart-point-label\">March 2025<\/span><span class=\"td-chart-point-val\">13.14%<\/span><\/div><\/div><\/div><\/div>\n\n<h2 id=\"giati-to-klasiko-seo-den-arkei-pleon-apo-mono-toy\">Why classic SEO alone is no longer enough<\/h2>\n\n<div class=\"td-decision-band\"><p class=\"td-decision-label\">Main decision<\/p><strong>How artificial intelligence is changing user behaviour in search engines: what does it mean for business?;<\/strong><p>The important thing is not only to understand the news or trend, but to see if it affects content, UX, SEO, brand, automation, sales or the related service.<\/p><\/div>\n\n<p>Classic SEO is still essential: technical health, speed, crawlability, proper architecture, internal linking and quality backlinks remain critical. But AI Search adds a new layer: generative engine optimization, or GEO. GEO does not replace SEO, but extends it. Its goal is to make a brand's content more easily readable, trustworthy, and usable by generative systems that synthesize responses. This means we don't just write to get a SERP position. We write to prove we have the best, most useful, and most reliable answer to a specific problem.<\/p>\n<p>In practice, this changes the priority of actions. A simple category page with products and a short 150-word SEO text at the bottom of the page will hardly meet the needs of a conversational search experience. Instead, a comprehensive category page that explains how to choose, what criteria matter, what differences there are between materials or technologies, how to measure size, how to compare models and what questions customers ask, has more value. Semantic SEO becomes a key mechanism here: we cover thematic entities, relationships, questions and sub-prefixes instead of mechanically repeating a keyword. The same goes for product pages. Product descriptions that simply copy the vendor are not enough. You need unique insights, actual usage, photos, reviews, FAQs and structured data.<\/p>\n<p>The rise of AI assistants reinforces this need. OpenAI has announced a significant increase in ChatGPT usage, from 100 million weekly active users in November 2023 to 200 million in August 2024, 400 million in February 2025 and 800 million in April 2025. These numbers are not exclusively about search, but show how quickly the public is becoming accustomed to environments where responses are interactive, direct and synthetic. The more users learn to ask AI tools, the more they will expect a similar experience from search engines, eshops and customer support channels.<\/p>\n<p>The graph below shows the rapid increase in weekly active users of ChatGPT, which serves as an indication of wider adoption of AI interfaces.<\/p>\n\n<div class=\"td-chart td-chart--line td-chart--line-compact-labels\"><p class=\"td-chart-title\">Develop weekly active users of ChatGPT<\/p><p class=\"td-chart-subtitle\">Source: openAI announcements, 2023-2025<\/p><div class=\"td-chart-body\"><div class=\"td-chart-line-wrap\"><svg class=\"td-chart-svg-line\" viewbox=\"0 0 100 100\" preserveaspectratio=\"none\"><line class=\"td-chart-line-segment\" x1=\"2.00\" y1=\"98.00\" x2=\"34.00\" y2=\"84.29\" \/><line class=\"td-chart-line-segment\" x1=\"34.00\" y1=\"84.29\" x2=\"66.00\" y2=\"56.86\" \/><line class=\"td-chart-line-segment\" x1=\"66.00\" y1=\"56.86\" x2=\"98.00\" y2=\"2.00\" \/><\/svg><div class=\"td-chart-node-html\" style=\"--x:2.00%;--y:2.00%\"><\/div><div class=\"td-chart-node-html\" style=\"--x:34.00%;--y:15.71%\"><\/div><div class=\"td-chart-node-html\" style=\"--x:66.00%;--y:43.14%\"><\/div><div class=\"td-chart-node-html\" style=\"--x:98.00%;--y:98.00%\"><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:2.00%;--y:2.00%\"><span class=\"td-chart-point-label\">November 2023<\/span><span class=\"td-chart-point-val\">100s.<\/span><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:34.00%;--y:15.71%\"><span class=\"td-chart-point-label\">August 2024<\/span><span class=\"td-chart-point-val\">200s.<\/span><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:66.00%;--y:43.14%\"><span class=\"td-chart-point-label\">February 2025<\/span><span class=\"td-chart-point-val\">400m.<\/span><\/div><div class=\"td-chart-point td-chart-point--compact\" style=\"--x:98.00%;--y:98.00%\"><span class=\"td-chart-point-label\">April 2025<\/span><span class=\"td-chart-point-val\">800m.<\/span><\/div><\/div><\/div><\/div>\n\n<h2 id=\"step-by-step-odigos-gia-e-commerce-stratigiki-sto-ai-search\">Step-by-Step guide to e-commerce strategy in AI Search<\/h2>\n<p>The first step is to map intents, not just keywords. Start with your core product categories and capture what the customer is really trying to solve. For example, behind the keyword \u00aboffice chair\u00bb there may be intents such as \u00abchair for long hours\u00bb, \u00abchair for small space\u00bb, \u00abergonomic chair for back pain\u00bb, \u00abchair up to 150 euros\u00bb or \u00aboffice chair for tall person\u00bb. This analysis helps you create content that answers real needs and not just search terms. Combine data from Google Search Console, internal eshop search, customer questions, reviews, customer service tickets and keyword research tools. The result should be an intent map by category, prioritized by commercial value and frequency of queries.<\/p>\n<p>The second step is to upgrade the pages that play a role in the purchase decision. Don't necessarily start with blog posts. Start with category pages, top product pages and buying guides. Add short answers to critical questions at the top of the page, comparison tables where they make sense, clear information about availability, shipping, returns, warranties and after-sales, and content that explains when a product is suitable and when it is not. This honesty reinforces brand authority, because AI systems and humans alike better evaluate content that doesn't look like generic advertising. If a product isn't right for everyone, say so. Credibility often converts better than over-promising.<\/p>\n<p>The third step is to implement structured data. Use Product schema, Offer schema, AggregateRating, Review, FAQPage where it's really useful, BreadcrumbList and Organization schema. Structured data doesn't guarantee display in AI Overviews or rich results, but it helps engines understand exactly what's on the page. For e-commerce SEO, this is important because products have many structured attributes: price, currency, availability, SKU, brand, color, size, material, ratings and shipping policies. The more clearly stated, the less uncertainty for the engines and the better the likelihood of your information being leveraged in enriched or synthetic results.<\/p>\n<h3>Practical application in 30 days<\/h3>\n<p>In the first 7 days, select 10 pages with high commercial relevance and extract their queries from Google Search Console. Group them into informational, commercial investigation, and transactional intent. From day 8 to day 15, enrich the pages with answers to the most frequently asked questions, improve titles and meta descriptions, add internal links to relevant products and guides, and remove duplicate or weak descriptions. From day 16 to day 23, apply structured data and test the result with Rich Results Test and Schema Markup Validator. From day 24 to day 30, create a thematic content cluster around your most profitable category: a buying guide, a comparison article, a FAQ resource, and improved product descriptions. After 30 days, measure not only clicks and rankings, but impressions, CTR, branded searches, assisted revenue, and on-page user behavior.<\/p>\n\n<div class=\"td-step-list\"><p class=\"td-step-list-title\">Practical steps for exploitation<\/p><ol><li><span class=\"td-step-kicker\">Step 1<\/span><strong>Identify the main effect.<\/strong><p>Connect the topic to a real audience need: awareness, trust, product choice, experience improvement or increased conversions.<\/p><\/li><li><span class=\"td-step-kicker\">Step 2<\/span><strong>Turn it into energy.<\/strong><p>Define what changes in content, service pages, product pages, internal links, CTA or technical implementation.<\/p><\/li><li><span class=\"td-step-kicker\">Step 3<\/span><strong>Measure the result.<\/strong><p>Track organic visibility, engagement, leads, conversions and user behavior so the article has practical value.<\/p><\/li><\/ol><\/div>\n\n<h2 id=\"pos-na-metrisete-an-kerdizete-sto-neo-perivallon\">How to measure whether you are winning in the new environment<\/h2>\n<p>In AI Search, success is not always immediately visible through a classic organic traffic report. A brand can influence the purchase decision without getting the first click, especially in zero click searches. That's why a broader measurement framework is needed. Track impressions and average position in Google Search Console, but analyze them by query intent, not just overall. Check if branded searches are increasing, because a user may see your brand in AI response and later search for you directly. Measure assisted conversions in GA4, especially for users returning via direct or paid after an organic contact. Track engagement metrics such as scroll depth, add-to-cart rate, product comparison usage and internal search queries. If you have on-site search, user searches within the eshop are a goldmine for content optimization.<\/p>\n<p>At the same time, create a periodic AI visibility check process. Search Google, Bing, Perplexity, ChatGPT Search where available and other AI interfaces for your customers' key queries. Record whether your brand is featured, which competitors are mentioned, what types of sources are used and what content gaps are identified. Don't treat this process as an absolute science, because AI results are variable. Treat it as a qualitative research layer that reveals where you need to strengthen documentation, comparisons, evaluations and topic coverage. AI Search rewards brands that have clear expertise and a consistent presence across the ecosystem: website, reviews, social proof, PR, marketplaces, YouTube, knowledge panels and trusted third-party references.<\/p>\n<p>The strategic direction is clear: keep investing in SEO, but adapt it for a world where the answer comes before the click. Create content that is accurate, useful, well-structured and commercially relevant to the customer experience. Reinforce E-E-A-T with real experience, writers or experts where it makes sense, clear policies, reviews and proof of credibility. Improve product pages to act not only as selling points, but also as knowledge sources. AI Search doesn't eliminate the need for a website; instead, it raises the bar for which website is worth using as a resource. Those e-commerce brands that move early will gain an advantage not because they \u00aboutsmarted\u00bb an algorithm, but because they have better organized their knowledge, expertise and marketing proposition.<\/p>\n\n\n<div class=\"td-source-list\"><p class=\"td-source-list-title\">Sources<\/p><ul><li><a href=\"https:\/\/blog.hubspot.com\/marketing\/ai-search-behavior\" target=\"_blank\" rel=\"noopener noreferrer\">HubSpot Blog: AI Search Behavior<\/a><\/li><li><a href=\"https:\/\/www.pewresearch.org\/short-reads\/2025\/07\/22\/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pew Research Center: Google users are less likely to click on links when an AI summary appears<\/a><\/li><li><a href=\"https:\/\/www.semrush.com\/blog\/ai-overviews-study\/\" target=\"_blank\" rel=\"noopener noreferrer\">SEMrush: AI Overviews Study<\/a><\/li><li><a href=\"https:\/\/openai.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI: Company updates and ChatGPT usage announcements<\/a><\/li><li><a href=\"https:\/\/developers.google.com\/search\/docs\/appearance\/structured-data\/intro-structured-data\" target=\"_blank\" rel=\"noopener noreferrer\">Google Search Central: Introduction to structured data markup<\/a><\/li><li><a href=\"https:\/\/developers.google.com\/search\/docs\/fundamentals\/creating-helpful-content\" target=\"_blank\" rel=\"noopener noreferrer\">Google Search Central: Creating helpful, reliable, people-first content<\/a><\/li><\/ul><\/div>\n\n\n<section class=\"td-service-cta\"><div class=\"td-service-cta-content\"><p class=\"td-service-cta-eyebrow\">Do you want an e-shop that sells?;<\/p><h2>Construction of e-shop with WooCommerce by TWO DOTS<\/h2><p>We set up e-shop fast, secure and ready for online sales, with proper tracking and SEO basis.<\/p><div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/kataskevi-eshop\/\">Request an e-shop offer<\/a><\/div><\/div><\/section>\n\n\n<h2 id=\"sychnes-erotiseis\" class=\"td-faq-heading\">Frequently Asked Questions<\/h2>\n  <div class=\"td-faq\">\n<details id=\"faq-1\" class=\"td-faq-item\"><summary class=\"td-faq-title\">What is AI Search and how does it change search behaviour?;<\/summary><div class=\"td-faq-content\"><p>AI Search allows users to make natural language searches, expecting personalised answers and comparisons without visiting multiple pages. This changes the strategy for brands as they need to provide immediate and useful information.<\/p><\/div><\/details>\n<details id=\"faq-2\" class=\"td-faq-item\"><summary class=\"td-faq-title\">How does AI Search affect e-commerce?;<\/summary><div class=\"td-faq-content\"><p>AI Search is impacting e-commerce by increasing the importance of content that answers real needs. Users are now searching for products through AI assistants, demanding clear and informed information about their purchases.<\/p><\/div><\/details>\n<details id=\"faq-3\" class=\"td-faq-item\"><summary class=\"td-faq-title\">What are the challenges of SEO in the age of AI Search?;<\/summary><div class=\"td-faq-content\"><p>SEO needs to adapt to incorporate Generative Engine Optimization (GEO), which focuses on creating content that is reliable and useful for AI systems. The strategy includes documented products and clear answers to user questions.<\/p><\/div><\/details>\n<details id=\"faq-4\" class=\"td-faq-item\"><summary class=\"td-faq-title\">How can I improve my brand presence in AI Overviews?;<\/summary><div class=\"td-faq-content\"><p>To improve your presence, invest in structured data and create content that answers users' questions accurately. Offer unique information and documented product pages to become a trusted source for AI systems.<\/p><\/div><\/details>\n<details id=\"faq-5\" class=\"td-faq-item\"><summary class=\"td-faq-title\">What is the importance of E-E-A-T in AI Search?;<\/summary><div class=\"td-faq-content\"><p>Strengthening E-E-A-T (Experience, Expertise, Authenticity, Trust) is critical in AI Search, as search engines prefer content from trusted and authoritative sources. Strengthen your credibility with evidence and real experience.<\/p><\/div><\/details>\n<details id=\"faq-6\" class=\"td-faq-item\"><summary class=\"td-faq-title\">How does the customer journey change in the AI Search environment?;<\/summary><div class=\"td-faq-content\"><p>In the AI Search environment, the customer journey can start with an AI assistant and end in marketplaces or directly with the brand. Product discovery is no longer limited to eshop categories, but requires integrated content and presence across multiple channels.<\/p><\/div><\/details>\n  <\/div>","protected":false},"excerpt":{"rendered":"<p>AI Search is transforming the way users search for information, favouring natural language and personalised suggestions. For e-commerce brands, this means that success depends on the ability to provide clear, informed answers worthy of being reported by AI systems. Businesses need to upgrade their content, enhance their credibility and adapt to an environment where the answer comes before the click.<\/p>","protected":false},"author":1,"featured_media":77418,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[204],"tags":[6889,6790,3546,9375,3545],"class_list":["post-76415","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seo","tag-ai-overviews","tag-ai-search","tag-e-commerce-2","tag-generative-engine-optimization","tag-seo"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/76415","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=76415"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/76415\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/77418"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=76415"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=76415"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=76415"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}