{"id":72527,"date":"2026-05-27T13:14:25","date_gmt":"2026-05-27T10:14:25","guid":{"rendered":"https:\/\/twodots.gr\/?p=72527"},"modified":"2026-05-27T15:17:53","modified_gmt":"2026-05-27T12:17:53","slug":"pos-to-agent-a-allazei-to-topio-toy-product-marketing","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/pos-to-agent-a-allazei-to-topio-toy-product-marketing\/","title":{"rendered":"How Agent A is changing the product marketing landscape"},"content":{"rendered":"<p>How the <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">AI agents<\/a> Convertible product marketing, <a href=\"https:\/\/twodots.gr\/seo-gia-ecommerce-basika-bemata\/\">SEO for eCommerce<\/a> and e-commerce workflows in measurable development with human control.<\/p>\n\n\n<nav class=\"td-toc\" aria-label=\"Table of contents\"><div class=\"td-toc-title\">Contents<\/div><ol class=\"td-toc-list\"><li><a href=\"#ti-deichnei-to-peirama-tis-ahrefs-gia-ta-ai-agents-sto-product-marketing\">What the Ahrefs experiment shows about AI agents in product marketing<\/a><\/li><li><a href=\"#giati-to-ai-marketing-ginetai-pleon-epicheirisiako-ergaleio\">Why AI marketing is now becoming a business tool<\/a><\/li><li><a href=\"#poy-mporei-na-voithisei-enas-ai-agent-ena-e-commerce-brand\">Where an AI agent can help an e-commerce brand<\/a><\/li><li><a href=\"#step-by-step-odigos-gia-na-chtisete-ai-agent-sto-e-commerce-marketing\">Step-by-Step guide to build AI agent in e-commerce marketing<\/a><\/li><li><a href=\"#metriseis-riska-kai-praktiki-efarmogi-gia-e-commerce-owners\">Metrics, risks and practical application for e-commerce owners<\/a><\/li><\/ol><\/nav>\n\n\n<h2 id=\"ti-deichnei-to-peirama-tis-ahrefs-gia-ta-ai-agents-sto-product-marketing\">What the Ahrefs experiment shows about AI agents in product marketing<\/h2><p>Ahrefs\u00ab article on Agent.ai and product marketing is interesting because it doesn't treat AI as just another text generation tool, but as a functional layer above the day-to-day work of marketing. The basic idea is simple but critical for any e-commerce owner: an AI agent can take on repetitive research, analytical and organizational tasks, connect data from different sources and deliver material that a marketer can evaluate, correct and turn into action. In other words, AI marketing is not just \u00bbwrite a post with AI\". It's the ability to build workflows that track market, competition, queries, positioning, customer pain points, and content opportunities more quickly.<\/p><p>The value of the Ahrefs example lies mainly in its pragmatic approach. The agent is not presented as a replacement for a product marketer, but as an assistant who can reduce the time to the first useful version of an analysis. This is particularly important in ecommerce marketing, where teams are often asked to do a lot at once: SEO, email campaigns, paid media, landing pages, product descriptions, competitive analysis, customer segmentation and conversion rate optimization. When the team is small, the bottleneck is not always the strategy; it's the time it takes to gather the right inputs and organize them into a usable form.<\/p><p>For an online store, the practical translation is clear: an agent can be used to identify new search categories, compare product pages with competitors, suggest topics for AI content marketing, create briefs for landing pages, summarize customer reviews and map friction points in customer journey mapping. The human element is still essential because the agent does not know the commercial margin, inventory strategy, brand voice or the true priorities of the business on their own. But, given the right context, it can act as a decision accelerator.<\/p><h2 id=\"giati-to-ai-marketing-ginetai-pleon-epicheirisiako-ergaleio\">Why AI marketing is now becoming a business tool<\/h2><p>The shift to AI marketing is not theoretical. The market for AI solutions for marketing is growing rapidly because businesses are looking for ways to reduce manual labor, increase production speed and make better use of their data. According to data widely published by Statista on AI in marketing, the global market was estimated at about $15.84 billion in 2021 and is projected to reach about $107.5 billion by 2028. For e-commerce owners, this means that AI marketing tools are no longer a peripheral technology, but a key part of the competitive landscape.<\/p><p>As shown in the chart below, the projected market growth shows why companies that organize their data, prompts, approval flows and performance metrics early on will gain a practical advantage.<\/p>\n<section class=\"td-chart\"><div class=\"td-chart-head-wrap\"><div class=\"td-chart-head\"><div class=\"td-chart-title\">Growth of the global AI marketing market<\/div><div class=\"td-chart-subtitle\">Source: Statista, Artificial Intelligence in Marketing market size, 2021-2028<\/div><\/div><\/div><div class=\"td-chart-body\"><div class=\"td-chart-row\"><div class=\"td-chart-label\">Market size - 2021<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 14.7%\"><\/div><\/div><div class=\"td-chart-value\">15.84<\/div><\/div><div class=\"td-chart-row\"><div class=\"td-chart-label\">Market size - 2028<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 100%\"><\/div><\/div><div class=\"td-chart-value\">107.5<\/div><\/div><\/div><\/section>\n<p>This growth is not just about big multinationals. It also concerns a niche e-shop that wants to improve product descriptions, a fashion brand that wants to analyze reviews for sizing problems, a technology store that needs constant specs comparisons or a B2B e-commerce that wants to build go to market strategy for a new product category. The critical point is that AI performs best when applied to specific processes, not when used randomly. An agent that has access to clear data, brand voice rules, competitor lists and sales targets can deliver more useful results than a generic prompt to a chatbot.<\/p><p>McKinsey has also estimated that genetic AI can increase marketing productivity by 5% to 15% of total marketing spend, depending on the maturity of use and the processes that are automated. For an e-commerce with an annual marketing budget of 100K, even a conservative productivity improvement means thousands of dollars in time, testing, creative and better channel utilization.<\/p><p>The chart below captures the range of McKinsey's estimate of marketing productivity from using generative AI marketing.<\/p>\n<section class=\"td-chart\"><div class=\"td-chart-head-wrap\"><div class=\"td-chart-head\"><div class=\"td-chart-title\">Estimated productivity gains in marketing from GenAI<\/div><div class=\"td-chart-subtitle\">Source: McKinsey Global Institute, The economic potential of generative AI<\/div><\/div><\/div><div class=\"td-chart-body\"><div class=\"td-chart-row\"><div class=\"td-chart-label\">Productivity as a percentage of marketing spend - Low estimate<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 33.3%\"><\/div><\/div><div class=\"td-chart-value\">5<\/div><\/div><div class=\"td-chart-row\"><div class=\"td-chart-label\">Productivity as a percentage of marketing spend - High estimate<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 100%\"><\/div><\/div><div class=\"td-chart-value\">15<\/div><\/div><\/div><\/section>\n<h2 id=\"poy-mporei-na-voithisei-enas-ai-agent-ena-e-commerce-brand\">Where an AI agent can help an e-commerce brand<\/h2><p>The most practical way to think of AI agents is as small, specialized units of work. A product marketing agent doesn't have to \u00abdo everything\u00bb. It can have a clear role: analyzing competing products, identifying gaps in content, turning customer reviews into messaging angles, or creating briefs for new category pages. The difference from a simple AI prompt is that the agent can follow a predefined sequence of steps, request specific inputs, apply rules and deliver output with a fixed structure.<\/p><p>In product marketing, this is valuable because the quality of messaging depends on connecting many elements: who the customer is, what problem the product solves, who the competitor is, what the barrier to purchase is, and what evidence builds trust. For example, an e-shop with premium cosmetics can use agent to analyze reviews and identify that customers aren't just buying because of ingredients, but because they want a safe choice for sensitive skin. This changes the copy, FAQs, ad angles and email flows. Similarly, a furniture store may discover that the key pain point is not price, but uncertainty about dimensions, assembly and returns.<\/p><p>The importance of personalised marketing is illustrated by research from Epsilon, which found that 80% of consumers said they are more likely to buy when a brand offers personalised experiences. This doesn't just mean putting the first name in the email. It means better matching message, product, timing and purchase intent. An AI agent can help prepare for this personalization, as long as it's connected to secure and properly organized data.<\/p><p>The graph below shows the percentage of consumers who indicated an increased likelihood of purchase when there is a personalised experience.<\/p>\n<section class=\"td-chart\"><div class=\"td-chart-head-wrap\"><div class=\"td-chart-head\"><div class=\"td-chart-title\">Effect of personalisation on purchase intention<\/div><div class=\"td-chart-subtitle\">Source: Epsilon, The power of me: the impact of personalization, 2018<\/div><\/div><\/div><div class=\"td-chart-body\"><div class=\"td-chart-row\"><div class=\"td-chart-label\">Consumers - Most likely to buy with personalization<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 100%\"><\/div><\/div><div class=\"td-chart-value\">80<\/div><\/div><div class=\"td-chart-row\"><div class=\"td-chart-label\">Consumers - Rest of sample<\/div><div class=\"td-chart-track\"><div class=\"td-chart-bar\" style=\"width: 25%\"><\/div><\/div><div class=\"td-chart-value\">20<\/div><\/div><\/div><\/section>\n<p>At the SEO automation level, an agent can act as a research assistant for keyword clusters, internal linking opportunities, schema suggestions and content briefs. However, it should not publish content in an uncontrolled manner. Its value lies in reducing preparation time and surfacing patterns that the team can evaluate. In AI marketing, quality is gained when the human keeps control of the strategy and the agent takes on the heavy repetitive work.<\/p><h2 id=\"step-by-step-odigos-gia-na-chtisete-ai-agent-sto-e-commerce-marketing\">Step-by-Step guide to build AI agent in e-commerce marketing<\/h2><p>To properly utilize an agent, the business needs a methodology. The biggest mistake is to start with the tool instead of the process. Before choosing a platform, you need to know what work you want to improve, what data will be used, who will approve the result, and what metrics will show whether the workflow is worthwhile. A simple, practical guide can be implemented even by a small e-commerce team without an in-house data team.<\/p>\n<p>The second step is to create a structured prompt or instruction set. The agent needs to know its role, audience, output format and boundaries. For example: \u00abYou are a product marketing assistant for Greek e-commerce. Analyze reviews, identify the 5 most common purchase objections, suggest changes to product page copy and document each suggestion with a review quote.\u00bb This is much more useful than a generic \u00abwrite a better product description\u00bb. Third step is to add quality rules: don't invent claims, point out where data is missing, separate facts from assumptions, and suggest A\/B testing instead of presenting arbitrary certainties.<\/p><p>The fourth step is to link the agent to measurements. If the agent produces SEO briefs, measure brief production time, organic traffic, impressions, CTR, rankings and conversions from the pages created. If it produces product messaging, measure add-to-cart rate, conversion rate, returns, click-through to emails and impact on paid ads. If it analyzes customer segmentation, check whether segments lead to different offers, better open rates or higher revenue per recipient. AI marketing should not be evaluated based on whether it \u00absounds good\u00bb, but on whether it improves decisions and results.<\/p><p>The fifth step is the implementation of human endorsement. Any output that affects brand, legal promises, health, financial, pricing or return policies must go through a human. This is especially important in categories such as supplements, cosmetics, children's products, technology and B2B equipment, where a wrong claim can create a legal or commercial problem. Step six is to create a feedback loop: each time you correct the agent, record the error, update the instructions and improve the workflow. In this way, the agent evolves from a generic tool to an internal functional asset.<\/p><h2 id=\"metriseis-riska-kai-praktiki-efarmogi-gia-e-commerce-owners\">Metrics, risks and practical application for e-commerce owners<\/h2><p>The adoption of AI agents must be done with professional discipline. The key KPIs depend on the use case. For SEO and content, monitor productivity briefs, indexation, organic clicks, CTR, assisted conversions and internal linking quality. For product marketing, track conversion rate per product page, add-to-cart rate, revenue per session, bounce rate, scroll depth and support query reduction. For customer segmentation, look at repeat purchase rate, email revenue, unsubscribe rate and average order value. For competitive analysis, measure how quickly changes in pricing, bundles, messaging and offers are detected.<\/p><p>The risks are also real. An agent can misinterpret data, give overly general sentences, reproduce errors from bad sources, or create content that looks right but doesn't fit the brand's strategy. There is also a data protection issue: sensitive customer data should not be entered into tools without controlling privacy, access and storage policies. For European e-commerce, GDPR compliance and internal data management rules are not optional steps.<\/p><p>The right approach is to start small. Choose a workflow that is frequently repeated, has clear inputs and can be measured. For example, create an agent that produces weekly competitive analysis for a product category. Give him a list of competitors, ask for a specific output format and have the team evaluate whether his suggestions led to changes in price, copy, bundles or landing pages. If the workflow pays off, expand it to SEO automation, AI content marketing or customer journey mapping. That way, you're not just buying technology; you're building internal capability.<\/p><p>The important conclusion from Ahrefs' analysis is that AI agents have value when integrated into a pure product marketing strategy. They do not replace the experience, commercial judgment or creativity of the team. Instead, they free up time from the first, heavy research and organization phase so that professionals can focus on positioning, prioritization, testing and execution. For TWO DOTS and any e-commerce business that wants to grow with disciplined digital marketing, AI marketing should be treated as a system: data, workflows, testing, metrics and continuous improvement.<\/p>\n\n<p>Sources: <a href=\"https:\/\/ahrefs.com\/blog\/agent-a-for-product-marketing\/\" target=\"_blank\" rel=\"noopener\">Ahrefs - Agent.ai for Product Marketing<\/a>, <a href=\"https:\/\/www.mckinsey.com\/capabilities\/mckinsey-digital\/our-insights\/the-economic-potential-of-generative-ai-the-next-productivity-frontier\" target=\"_blank\" rel=\"noopener\">McKinsey - The economic potential of generative AI<\/a>, <a href=\"https:\/\/www.statista.com\/statistics\/1293758\/ai-marketing-revenue-worldwide\/\" target=\"_blank\" rel=\"noopener\">Statista - AI in marketing market size worldwide<\/a>, <a href=\"https:\/\/www.epsilon.com\/us\/about-us\/pressroom\/new-epsilon-research-indicates-80-of-consumers-are-more-likely-to-make-a-purchase-when-brands-offer-personalized-experiences\" target=\"_blank\" rel=\"noopener\">Epsilon - Personalization and purchase intent<\/a><\/p>\n\n\n<section class=\"td-faq\" aria-label=\"Frequently Asked Questions (FAQs)\"><details class=\"td-faq-item\"><summary class=\"td-faq-title\">What is AI marketing and how does it help an e-commerce?;<\/summary><div class=\"td-faq-content\"><p>AI marketing is the use of models and automation to analyse data, create content and optimise campaigns. In an e-commerce it helps in faster insights, better personalization and more efficient workflows.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">What does an AI agent do in product marketing?;<\/summary><div class=\"td-faq-content\"><p>An AI agent performs repetitive tasks (research, summarization, drafts, monitoring) and connects data from tools\/sources to provide actionable recommendations that humans approve and improve.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">Where do agents practically apply to SEO workflows?;<\/summary><div class=\"td-faq-content\"><p>In keyword research, competitor tracking, creating content briefs, internal linking suggestions and monitoring changes in queries\/pages. The important thing is to have quality rules and checking before each publication.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">What are the key risks when putting AI agents into marketing?;<\/summary><div class=\"td-faq-content\"><p>Incorrect conclusions from incomplete data, general statements without context, and compliance\/personal data issues. The solution is clear inputs, human oversight, and QA processes.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">How does an e-commerce start working with AI agents without chaos?;<\/summary><div class=\"td-faq-content\"><p>It starts with a specific workflow (e.g. weekly competitor monitoring), defines inputs, owners and KPIs, and does small iterations until there is a consistent quality.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">Does AI personalization really increase sales?;<\/summary><div class=\"td-faq-content\"><p>Usually increases the likelihood of purchase when based on correct data and respect for privacy. Needs testing (A\/B) and measurement in conversion rate and revenue, not just clicks.<\/p><\/div><\/details><details class=\"td-faq-item\"><summary class=\"td-faq-title\">Do I need a technical team to leverage AI marketing automation?;<\/summary><div class=\"td-faq-content\"><p>For simple use cases not always, but for reliable workflows (data, integrations, quality gates) the collaboration between marketing and technicians gives better and more secure results.<\/p><\/div><\/details><\/section>\n\n\n\n<section class=\"td-service-cta\"><div class=\"td-service-cta-content\"><h3>Want to put AI agents in your marketing safely?;<\/h3><p>We set up measurable workflows for SEO, content and e-commerce, with human control and clear KPIs.<\/p><div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/digital-marketing-seo\/\">See Digital Marketing &amp; SEO services<\/a><\/div><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Ahrefs' experiment with AI agents in product marketing shows how AI can act as a decision accelerator for businesses. Instead of replacing marketers, it acts as an assistant that takes on repetitive tasks, connects data and provides actionable insights. The use of AI agents in e-commerce allows for improved strategies through faster market and competitive analysis, making AI a central tool in the modern business environment.<\/p>","protected":false},"author":1,"featured_media":74787,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[],"class_list":["post-72527","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/72527","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=72527"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/72527\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/74787"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=72527"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=72527"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=72527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}