{"id":198685,"date":"2026-06-15T08:16:49","date_gmt":"2026-06-15T13:16:49","guid":{"rendered":"https:\/\/ahrefs.com\/blog\/?p=198685"},"modified":"2026-06-15T08:16:49","modified_gmt":"2026-06-15T13:16:49","slug":"agentic-marketing","status":"publish","type":"post","link":"https:\/\/ahrefs.com\/blog\/agentic-marketing\/","title":{"rendered":"Agentic Marketing: What\u2019s the Big Deal and How to Get Started"},"content":{"rendered":"<div class=\"intro-txt\">\n<p>Agentic marketing is marketing work executed by an AI agent: an artificial intelligence system that takes a goal, picks the steps, runs the tools, checks its own output, and keeps going until the job is&nbsp;done.<\/p>\n<\/div>\n<p>You give it a goal like \u201cplan the launch campaign for our new feature,\u201d and it runs the whole job. It pulls competitor positioning, drafts the landing copy, writes the announcement emails, builds a sales-enablement one-pager, files the assets in Notion, and opens a Linear ticket for the team to review. You come back to a finished package, not a checklist.<\/p>\n<p>This article gets you caught up on agentic AI in marketing, shows you how marketers, including us, are using it right now, and points to the use cases worth copying this&nbsp;week.<\/p>\n<div class=\"recommendation\"><div class=\"recommendation-title\">What is Agent&nbsp;A?<\/div><div class=\"recommendation-content\">\n<p><a href=\"https:\/\/ahrefs.com\/agent-a\">Agent A<\/a> is a marketing agent from Ahrefs\u2014an AI assistant with direct access to the full Ahrefs dataset that can carry out marketing tasks autonomously, rather than just answer questions.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-197276\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1.jpg\" alt width=\"1648\" height=\"1168\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1.jpg 1648w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1-600x425.jpg 600w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1-768x544.jpg 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1-1536x1089.jpg 1536w\" sizes=\"auto, (max-width: 1648px) 100vw, 1648px\"><\/p>\n<p>Agent A includes:<\/p>\n<ul>\n<li><strong>Unrestricted access to Ahrefs endpoints.<\/strong> Every endpoint we use to build Ahrefs is available, including many you cannot reach via API or&nbsp;MCP.<\/li>\n<li><strong>Serious tech stack underneath.<\/strong> Postgres for state, Flask for UIs, an OpenRouter proxy with 300+ models, web fetch with full-page parsing, PDFs, OCR, scheduled jobs.<\/li>\n<li><strong>Native connectors to marketing tools.<\/strong> Slack, HubSpot, GitHub, Notion, Linear, Mailchimp, Resend, SendGrid, Stripe, Gong, WordPress, Airtable, Apify, and even Semrush.<\/li>\n<li><strong>Expert skill library.<\/strong> The Ahrefs team has contributed pre-built marketing skills and applications that encode how we actually work.<\/li>\n<\/ul>\n<\/div><\/div>\n<div class=\"intro-tok\" id=\"intro_tok\" style=\"display:none;\"><div class=\"intro-title\">Contents<\/div><a href=\"#\" class=\"expand-dots\"><span><\/span><span><\/span><span><\/span><\/a><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Agentic AI in 2026: adoption, costs, agent types, and key terms\" data-section=\"agentic-ai-in-2026-adoption-costs-agent-types-and-key-terms\">\n<h2>Agentic AI in 2026: adoption, costs, agent types, and key&nbsp;terms<\/h2>\n<\/div><\/div>\n<p>Before we get practical, here\u2019s the quick grounding: where agentic AI actually stands today, the few kinds of \u201cagent\u201d worth telling apart, and the words you\u2019ll need to follow any conversation about&nbsp;them.<\/p>\n<h3>Agentic AI gets searched 122,000 times per month, and running agents now costs&nbsp;cents<\/h3>\n<p>Search volume for \u201cagentic AI\u201d in the US went from 1,450 searches a month in May 2023 to 122,175 in May 2026, an 84\u00d7 jump in three years, according to <a href=\"https:\/\/ahrefs.com\/keywords-explorer\">Ahrefs\u2019 Keywords Explorer<\/a>. The term \u201cwhat is agentic AI\u201d now pulls around 14,000 monthly searches and barely existed before late&nbsp;2023.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image15.png\" alt=\"Line chart of monthly US search volume for agentic AI rising sharply from 2023 to 2026\"><\/p>\n<p>By the way, all data and graphs were prepared fully by <a href=\"https:\/\/ahrefs.com\/agent-a\">Agent A<\/a>; I just said what I needed for this article.<\/p>\n<p>On top of that, YouTube is full of working examples you can copy in days, no special skills required: data analytics setups, custom internal tools, even solo businesses run on teams of AI agents. In the past three months alone, roughly 6000 YouTube videos mentioned agentic AI, earning around 83 million impressions.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image17.png\" alt=\"Bar chart of YouTube videos mentioning agentic AI and their impressions over recent months\"><\/p>\n<p>We recently started experimenting with agentic marketing at Ahrefs, and it quickly became a big part of how we&nbsp;work.<\/p>\n<p>Once our own <a href=\"https:\/\/ahrefs.com\/agent-a\">AI marketing agent<\/a> went live, the content team organized a <a href=\"https:\/\/ahrefs.com\/blog\/agent-a-hackathon\/\">week-long hackathon<\/a> to explore how AI could automate parts of our workflow. By the end of the week, the team had built 16 different apps, all created by the agent. Zero lines of code from us, we just guided its&nbsp;steps.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image3.png\" alt=\"Grid of 16 internal apps built by the content team during the Agent A hackathon\"><\/p>\n<p>The other half of the story is cost. LLM prices have dropped 15\u201320\u00d7 since 2023. OpenAI\u2019s flagship model went from $30 per million input tokens with GPT-4 in 2023 to $2 with GPT-4.1, according to OpenAI\u2019s pricing announcements (data compiled by Agent&nbsp;A).<\/p>\n<p>A multi-step agent run that used to cost a few dollars now costs&nbsp;cents.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image14.png\" alt=\"Chart showing OpenAI API input token prices falling 15 to 20 times since 2023\"><\/p>\n<h3>Three types of AI agents you\u2019ll meet, and the key terms to&nbsp;know<\/h3>\n<p>The word \u201cagent\u201d gets stretched across very different products. Three categories are worth knowing apart:<\/p>\n<ul>\n<li><strong>Agentic environments<\/strong> like Claude Code or OpenAI\u2019s Agents SDK.<br>\nFlexible, but you wire the tools together yourself. Built mostly for developers.<\/li>\n<li><strong>Open-source agents<\/strong> like OpenClaw or Hermes. You host them on&nbsp;your<br>\nown infrastructure. Private, customizable, and the setup is on&nbsp;you.<\/li>\n<li><strong>Specialized agents<\/strong> like Ahrefs\u2019 Agent A or Intercom\u2019s Fin.<br>\nPre-wired for a specific job. You skip the setup and hand off the&nbsp;goal.<\/li>\n<\/ul>\n<p>If you\u2019re going to talk to a vendor or read a thread about agents, you\u2019ll hit these&nbsp;terms:<\/p>\n<ul>\n<li><strong>Agent.<\/strong> An LLM plus tools plus a loop that keeps running until&nbsp;the<br>\ngoal is met. The model alone isn\u2019t the agent. The loop&nbsp;is.<\/li>\n<li><strong>Tools.<\/strong> Functions the agent can call: search the web, query&nbsp;a<br>\ndatabase, send an email, run code. Without tools, it\u2019s just a chatbot.<\/li>\n<li><strong>Skills.<\/strong> Playbooks the agent loads for recurring tasks (\u201chow&nbsp;to<br>\nbrainstorm titles,\u201d \u201chow to QA an article\u201d). <a href=\"https:\/\/ahrefs.com\/blog\/claude-skills\/\">Learn more<\/a>.<\/li>\n<li><strong>Workflow vs. agent.<\/strong> A workflow runs fixed steps with LLMs inside.<br>\nAn agent picks the steps. Most vendor \u201cagents\u201d are actually workflows.<\/li>\n<li><strong>Sub-agents\/orchestration.<\/strong> A top-level agent that spawns<br>\nspecialists to handle parts of the&nbsp;job.<\/li>\n<li><strong>Human-in-the-loop (HITL).<\/strong> A forced approval step before the&nbsp;agent<br>\ncontinues. Required for irreversible work.<\/li>\n<li><strong>Guardrails.<\/strong> Hard rules the agent can\u2019t cross (\u201cnever send<br>\nexternal email without approval\u201d).<\/li>\n<li><strong>MCP (Model Context Protocol).<\/strong> An open standard for plugging tools<br>\ninto agents. You\u2019ll hear it in any technical conversation about how agents connect to things. <a href=\"https:\/\/ahrefs.com\/blog\/what-is-mcp-server\/\">Learn more<\/a>.<\/li>\n<\/ul>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"How to get started with agentic marketing: 11 use cases with starting prompts\" data-section=\"how-to-get-started-with-agentic-marketing-11-use-cases-with-\">\n<h2>How to get started with agentic marketing: 11 use cases with starting prompts<\/h2>\n<\/div><\/div>\n<p>Below are eleven everyday marketing jobs where AI agents are already doing the&nbsp;work.<\/p>\n<p>Each use case has four parts: the task itself, what an agent can do about it, an example of how it works in Agent A, and a starter prompt you can give to any AI&nbsp;agent.<\/p>\n<h3>Run keyword research and AI mention gap analysis<\/h3>\n<p>SEO is two questions at once: what should we write about, and are people actually finding us? Both mean a lot of structured, repetitive data work, and a growing share of \u201cfinding us\u201d now happens inside AI assistants like ChatGPT and Perplexity, not on a results page.<\/p>\n<p>Any agent with access to live SEO data can take a real run at both. Point it at keyword and ranking data, and it can group topics, find the gaps competitors are winning, and flag where AI assistants name a rival but never mention you.<\/p>\n<p>Agent A does this with two purpose-built tools.<\/p>\n<p>The <strong>Content Keyword Research<\/strong> app takes a niche you type in and runs the whole pipeline: keywords, topic clusters, quick wins, competitor gaps, and a content brief for any cluster on request.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image4.png\" alt=\"Agent A Content Keyword Research app showing topic clusters, quick wins, and competitor gaps\"><\/p>\n<p><strong>AI Mention Gap Analysis<\/strong> handles the AI side. It finds your competitors, measures how often ChatGPT, Perplexity, Gemini, and Google\u2019s AI Overviews name them versus you, and returns a ranked list of questions where AI recommends a rival but never mentions you, each with its search volume and a suggested content angle.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image8.png\" alt=\"Agent A AI Mention Gap Analysis showing how often ChatGPT and Perplexity name competitors versus you\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">You have access to my SEO data for [yourdomain.com] in [country]. I want the best content opportunities for the next quarter. Pull the keywords in [my niche], group them into topic clusters, and rank the clusters by how winnable they look: search volume, keyword difficulty, and whether my main competitors ([competitor 1], [competitor 2]) already cover the topic and I don't. Then run the same check against AI search: find the questions where ChatGPT, Perplexity, and Google's AI answers recommend those competitors but never mention me. Give me one prioritized list of topics to create, each with its search volume, the gap it closes, and a one-line angle for the piece.<\/pre>\n<p>Or get it ready-made in Agent A: install the Content Keyword Research app and use the preinstalled AI Mention Gap Analysis skill.<\/p>\n<div class=\"further-reading\"><div class=\"reading-title\">Further reading<\/div><div class=\"reading-content\">\n<ul>\n<li><a href=\"https:\/\/ahrefs.com\/blog\/automated-seo\/\">Automated SEO: What It Is and How It Works in&nbsp;2026&nbsp;<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<h3>Take an article from keyword to finished draft<\/h3>\n<p>Writing a good article is a five-step slog: research the topic, plan the structure, write the draft, fact-check it, and polish it. An agent runs the first four and hands the piece back to whoever\u2019s editing. You\u2019re still in charge of voice and the final call; you can even take action within the process.<\/p>\n<p>Ryan, our Director of Content, built an app like this with Agent A. You give it a topic and a few source links. It researches the topic, creates an editorial brief, builds an outline, writes the article, checks every claim, and stops three times so you can approve the direction before it continues.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image10.jpg\" alt=\"Agent A long-form article pipeline showing research, brief, outline, draft, and fact-check stages\"><\/p>\n<p>See it in action:<\/p>\n<div data-mode=\"normal\" data-oembed=\"1\" data-provider=\"youtube\" id=\"arve-youtube-ivzrveesnfq\" style=\"max-width:900px;\" class=\"arve\">\n<div class=\"arve-inner\">\n<div style=\"aspect-ratio:500\/281\" class=\"arve-embed arve-embed--has-aspect-ratio\">\n<div class=\"arve-ar\" style=\"padding-top:56.200000%\"><\/div>\n<p>\t\t\t<iframe allow=\"accelerometer 'none';autoplay 'none';bluetooth 'none';browsing-topics 'none';camera 'none';clipboard-read 'none';clipboard-write;display-capture 'none';encrypted-media 'none';gamepad 'none';geolocation 'none';gyroscope 'none';hid 'none';identity-credentials-get 'none';idle-detection 'none';keyboard-map 'none';local-fonts;magnetometer 'none';microphone 'none';midi 'none';otp-credentials 'none';payment 'none';picture-in-picture;publickey-credentials-create 'none';publickey-credentials-get 'none';screen-wake-lock 'none';serial 'none';summarizer 'none';sync-xhr;usb 'none';web-share;window-management 'none';xr-spatial-tracking 'none';\" allowfullscreen class=\"arve-iframe fitvidsignore\" credentialless data-arve=\"arve-youtube-ivzrveesnfq\" data-lenis-prevent data-src-no-ap=\"https:\/\/www.youtube-nocookie.com\/embed\/iVZrVeESnFQ?feature=oembed&amp;iv_load_policy=3&amp;modestbranding=1&amp;rel=0&amp;autohide=1&amp;playsinline=0&amp;autoplay=0\" frameborder=\"0\" height=\"505.8\" loading=\"lazy\" name referrerpolicy=\"strict-origin-when-cross-origin\" sandbox=\"allow-scripts allow-same-origin allow-presentation allow-popups allow-popups-to-escape-sandbox\" scrolling=\"no\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/iVZrVeESnFQ?feature=oembed&amp;iv_load_policy=3&amp;modestbranding=1&amp;rel=0&amp;autohide=1&amp;playsinline=0&amp;autoplay=0\" title width=\"900\"><\/iframe><\/p><\/div>\n<\/div>\n<p>\t<script type=\"application\/ld+json\">{\"@context\":\"http:\\\/\\\/schema.org\\\/\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/#arve-youtube-ivzrveesnfq\",\"@type\":\"VideoObject\",\"embedURL\":\"https:\\\/\\\/www.youtube-nocookie.com\\\/embed\\\/iVZrVeESnFQ?feature=oembed&iv_load_policy=3&modestbranding=1&rel=0&autohide=1&playsinline=0&autoplay=0\"}<\/script><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any agent (needs to have access to Ahrefs data via <a href=\"https:\/\/ahrefs.com\/mcp\">MCP<\/a>)<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">Build me an assisted long-form article pipeline. Atomic input is a target keyword. Stages run sequentially as background jobs the UI polls: (1) keyword research via Ahrefs, (2) competitor SERP fetch, (3) AI Content Helper topic snapshot, (4) bulleted outline with mandated topic coverage, (5) data-mention placement, (6) full draft, (7) polish, (8) WordPress shortcode formatting + .docx export. Each stage shows its output, has an \"edit\" textarea, and a \"refine with feedback\" chat that re-runs the stage with my notes. Style guide comes from a per-author voice profile.<\/pre>\n<div class=\"further-reading\"><div class=\"reading-title\">Further reading<\/div><div class=\"reading-content\">\n<ul>\n<li><a href=\"https:\/\/ahrefs.com\/blog\/agent-a-for-content-marketing\/\">7 Ways to Automate Content Marketing with Agent&nbsp;A<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<h3>Build your monthly performance report once and never&nbsp;again<\/h3>\n<p>Every month, someone on the team rebuilds the same performance report: traffic from one tool, rankings from another, backlinks from a third, all pasted into a deck with a few bullets up top explaining what changed. It eats a day, every month, forever.<\/p>\n<p>Any agent with access to your marketing data can take this over. Wire it into your traffic, rankings, and backlink numbers and it can pull the current month, compare it to the last, and write the summary of what moved and why, on a schedule, without being asked&nbsp;again.<\/p>\n<p>Agent A does this with the <strong>Monthly Website Performance Report<\/strong> app. It pulls your traffic, search rankings, Search Console clicks, and backlink growth into one dashboard, then writes the plain-English summary of what changed. You set it up once, and after that, it refreshes itself each month, so the report is just there, waiting, the morning you need&nbsp;it.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-198691\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/2026-06-12_14-25-14.png\" alt=\"Monthly web traffic report app \" width=\"810\" height=\"888\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/2026-06-12_14-25-14.png 810w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/2026-06-12_14-25-14-388x425.png 388w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/2026-06-12_14-25-14-768x842.png 768w\" sizes=\"auto, (max-width: 810px) 100vw, 810px\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">You have access to my website's analytics, search rankings, and backlink data for [yourdomain.com]. Build me a monthly performance report. Pull last month's numbers, compare them to the month before, and cover four things: total traffic, how my tracked keywords moved, clicks and impressions from search, and any change in referring domains. At the top, write a short plain-English summary of what moved and the likely reason. Flag anything that dropped sharply enough to need a closer look, and set this to run again at the start of every month.<\/pre>\n<p>Or skip the build and use it in Agent A: install the Monthly Website Performance Report app, point it at your site, and it refreshes on its&nbsp;own.<\/p>\n<h3>See who your real competitors are and where they beat&nbsp;you<\/h3>\n<p>Most teams do competitive analysis once a year because doing it properly takes a full day. Any agent with access to SEO data can run the whole thing on demand. Give it your domain, and it surfaces your genuine niche competitors, builds the head-to-head comparison, and flags the content and backlink gaps worth closing.<\/p>\n<p>Here\u2019s an example from Agent A. I can type a single sentence and get a quick, high-level report because the agent is already connected to SEO data and knows exactly what information to pull. From there, I can ask it to help create content that closes keyword gaps, identifies new opportunities, and supports <a href=\"https:\/\/ahrefs.com\/blog\/what-are-backlinks\/\">backlink-building<\/a> efforts.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image9.jpg\" alt=\"Agent A competitive analysis report with head-to-head metrics and content gaps\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">You have access to my SEO data. Run a competitive analysis for [yourdomain.com]. First find my real organic competitors\u2014the sites fighting for the same keywords and traffic\u2014and drop the incidental giants that only overlap by accident. Then build a head-to-head table comparing us on traffic, Domain Rating, referring domains, and number of ranking keywords. Then show me the two biggest opportunities: the high-volume, winnable keywords my competitors rank for that I don't, and the referring domains linking to several of them but not to me. Finish with a short read of where I have the authority to compete and where I'm falling behind.<\/pre>\n<p>Or skip the build and use it in Agent A: just ask it to run a competitive analysis on your&nbsp;site.<\/p>\n<h3>Build the tool your stack is missing<\/h3>\n<p>There\u2019s always one piece of your workflow that no off-the-shelf tool quite fits. A simple internal app would solve it, but you\u2019d need an engineer to build it. With an agent, you describe what you want, and it builds the&nbsp;thing.<\/p>\n<p>I built my Source of Truth app in Agent A: a searchable library for the information that my agent and I rely on when creating content. It stores four types of content: facts and stats, explanations, product details, and how-to guides.<\/p>\n<p>Paste in an article or document, and it extracts the useful information, categorizes it, and flags duplicates before they\u2019re added. Search works across everything, so people get a consistent answer instead of digging through docs.<\/p>\n<p>I described the workflow to Agent A, it built the app, and I\u2019ve been using it&nbsp;since.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image13.jpg\" alt=\"Agent A Source of Truth app, a searchable internal library of facts, explanations, and how-to guides\"><\/p>\n<h4>Try it<\/h4>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">Build me a simple internal knowledge base for my team. I want to paste in articles, docs, and notes and have you pull out the key facts, sort them into categories I define (like product details, style rules, and how-to guides), and skip anything that duplicates what's already saved. Make everything searchable from one box, and store it somewhere the whole team can reach.<\/pre>\n<p>You can also recreate my app by showing your agent this link: <a href=\"https:\/\/github.com\/mmakosiewicz\/sots_webinar\">https:\/\/github.com\/mmakosiewicz\/sots_webinar<\/a>. It contains all of the instructions to recreate the app and start using&nbsp;it.<\/p>\n<div class=\"further-reading\"><div class=\"reading-title\">Further reading<\/div><div class=\"reading-content\">\n<ul>\n<li><a href=\"https:\/\/ahrefs.com\/blog\/vibe-coding-examples\/\">9 Vibe Coding Examples: AI Apps You Can Use Right Now to Grow Your Website<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<h3>Turn one launch brief into every asset you need for product launch<\/h3>\n<p>A product launch is really a stack of deliverables that all have to say the same thing on the same day: positioning, landing page copy, announcement emails, a sales one-pager, social posts. Writing each one from scratch and keeping them aligned as the message shifts is where launches slow&nbsp;down.<\/p>\n<p>Any agent can take a single brief and produce the whole bundle at once, every piece built from the same positioning, so they stay consistent by default.<\/p>\n<p>In Agent A, you hand over one launch brief, and it drafts the positioning, the landing page copy, the announcement emails, and the sales one-pager, then drops everything into the tools your team already works in, with a ticket per asset so each draft has a clear owner for review.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image1.png\" alt=\"Agent A product launch kit with positioning, landing copy, emails, and a sales one-pager\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">We're launching [product] on [date]. Here's the core positioning: [one or two lines]. Use it to draft the full launch kit: a positioning doc, landing page copy, three announcement emails, a one-page sales sheet, and five social posts. Keep every piece consistent with that positioning and in our brand voice, and give me each as its own clearly labeled draft I can review and assign.<\/pre>\n<div class=\"further-reading\"><div class=\"reading-title\">Further reading<\/div><div class=\"reading-content\">\n<ul>\n<li><a href=\"https:\/\/ahrefs.com\/blog\/agent-a-for-product-marketing\/\">8 Ways to Automate Product Marketing with Agent&nbsp;A<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<h3>Fix and refresh product pages across the whole catalog<\/h3>\n<p>In a big store, most product pages are stuck just off page one: ranking sixth or eighth for a term that would sell, one decent edit away from real traffic, and no one has time to find them, let alone rewrite them. This is a job an agent does well. Point it at a product URL, and it pulls the keywords that page already almost ranks for, then rewrites the title, description, and intro to target them, grounded in the real page so it never invents a product fact. Run it across the catalog, and the pages fix themselves a few at a&nbsp;time.<\/p>\n<p>In Agent A, my colleague Andei built an E-commerce SEO Suite that does exactly this. Catalog Refresh rewrites a product page\u2019s title, meta, and intro to target the keywords it almost ranks for. Rank Monitor flags which products slipped or opened a new SERP feature, and Reviews to Page turns customer objections into FAQ updates. One tool spots the opportunity, the others write the&nbsp;fix.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image6.jpg\" alt=\"Agent A Ecommerce SEO Suite with Rank Monitor, Catalog Refresh, and Reviews to Page tabs\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\"><em>Build an \"Ecommerce SEO Suite\"\u2014one internal app, 3 tabs, light UI, saves every run to a DB with clickable history. Use any SEO data API + any LLM.<\/em>\n\n<em>1. Rank Monitor: input a domain + comparison window. Pull organic keywords with current vs past position. Show three lists\u2014Drops (lost positions), Gains (improved), and SERP-feature opportunities (FAQ\/image\/shopping box showing but page ranks below top 3). Show keyword, old\u2192new position, volume.<\/em>\n\n<em>2. Catalog Refresh: input a product URL. Pull its ranking keywords, keep positions 4\u201330 (\"almost ranking\"), top \\~15 by volume. Have an LLM rewrite title (\u226460), H1, meta (\u2264155), and intro to target them, grounded in the real page text, no invented facts, no hype. Show each field + char count + copy button.<\/em>\n\n<em>3. Reviews \u2192 Page: input a product URL or pasted reviews. LLM extracts the top \\~10 recurring objections (with frequency), then drafts an honest 6\u201310 Q&amp;A FAQ + 3\u20135 copy tweaks\u2014using only objections that actually appear.<\/em>\n\n<em>Loop: Rank Monitor flags a problem \u2192 Catalog Refresh \/ Reviews fixes it \u2192 publish \u2192 re-check. Guardrails: rewrites use only real keywords + real page copy; FAQ uses only real objections.<\/em><\/pre>\n<h3>Write lifecycle emails based on what customers actually do in your product<\/h3>\n<p>Generic onboarding emails go unread. Over-engineered ones take weeks to build. An agent with access to a product analysis tool like Mixpanel can read what your customers are actually doing in your product, group them by behavior, and write the email each group should get.<\/p>\n<p>Here\u2019s an example from Agent A. Connect your product event data and customer segments. It drafts a few email options for each segment, explains the thinking behind each one, and adds them to your email tool for review. You choose the version that feels&nbsp;right.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image5.png\" alt=\"Agent A lifecycle email tool drafting onboarding emails from product usage segments\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">You have access to my product usage data in [analytics tool] and my customer segments. Draft a 4-email onboarding sequence for [segment], based on what these users actually do in the product, not generic copy. For each email, give me two or three subject-line options and a short note on why this message fits this segment at this stage. Put the drafts in [my email tool] for review.<\/pre>\n<h3>Pull the admin out of hiring and screening<\/h3>\n<p>Marketing leaders spend more time on hiring than they\u2019d like to admit. And the tools don\u2019t help: your applicant tracker holds the data but won\u2019t let you slice it, writing a job description means starting from scratch every time, and reviewing test submissions is slow manual work. An agent that can read hiring data and write code changes that&nbsp;fast.<\/p>\n<p>My colleague Ben built a set of recruiting tools inside Agent A that plug into our applicant tracker. A metrics dashboard turns raw pipeline data into a readable view: applicants per role, stage conversion, time-to-hire. A document generator drafts job descriptions, question banks, and test tasks from a chat, an existing role, or files you upload. And a test-task reviewer runs a calibrated first pass on technical submissions, scores them against a rubric tuned on past decisions, assigns a human reviewer, and drafts the candidate feedback.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/recruiting-dashboard-v2.jpg\" alt=\"Agent A recruiting metrics dashboard showing applicants per role, conversion, and time-to-hire\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">You have access to our hiring data in [applicant tracker]. Build me a simple recruiting dashboard showing key pipeline metrics: applicants per role, time-to-hire, and stage conversion rates. Then add a second tool that drafts a job description from a role title and a few notes I give it, in our tone, and lets me upload an example profile or an old job post for context.<\/pre>\n<h3>Find traffic-winning videos and earn the click on YouTube<\/h3>\n<p>Running a YouTube channel comes with two jobs that tend to slip: figuring out which videos actually earn search traffic, and producing thumbnails that earn the click. Both take time, and both are easy to put&nbsp;off.<\/p>\n<p>An agent can carry a good share of them. It can study your or your competitor\u2019s channel against Google\u2019s results and tell you which videos pull traffic and what keywords drive them, and it can generate thumbnail options that match your channel\u2019s look, so the design work doesn\u2019t start from scratch each&nbsp;time.<\/p>\n<p>In Agent A, there are two free apps that handle this.<\/p>\n<p>The <strong>Video SEO Opportunities<\/strong> app scans any YouTube channel, finds the videos already earning Google traffic, and shows the top five keywords sending it, with search volume and difficulty for each, plus a 52-week traffic line so you can see whether a video is climbing or fading.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image16.jpg\" alt=\"Agent A Video SEO Opportunities app showing a YouTube channel's traffic-winning videos and keywords\"><\/p>\n<p>The <strong>Thumbnail Generator<\/strong> app produces three thumbnail concepts per video, and you can upload a reference photo so the same face shows up consistently across your channel.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image12.jpg\" alt=\"Agent A Thumbnail Generator showing three thumbnail concepts for a video\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">\"Build me two small tools for my YouTube channel. First, a channel auditor: given a channel and a country, use my SEO data to find which of its videos earn Google search traffic, and for each one show the top keywords sending traffic with their search volume, plus a line showing whether that traffic is climbing or fading over the past year. Sort it so my best and most-fixable videos rise to the top. Second, a thumbnail helper: given a video's working title and description (and optionally a photo of the person on camera), generate three thumbnail concepts paired with title variations, and explain why each would make someone stop scrolling and click. Keep the titles short and built to create curiosity, and use the person's photo as the visual anchor when I provide one.\"<\/pre>\n<p>Or skip the build and use it in Agent A: install Video SEO Opportunities and Thumbnail Generator by Sam Oh (whom you may know from our <a href=\"https:\/\/www.youtube.com\/@AhrefsCom\">YouTube channel<\/a>) from the Agent A app library.<\/p>\n<h3>Turn one piece of content into a week of social posts<\/h3>\n<p>Keeping social channels fed is steady, repetitive work. The hard part is rarely the ideas, it\u2019s the volume: turning what you\u2019ve already made into a feed\u2019s worth of posts, week after week, each one suited to where it\u2019s&nbsp;going.<\/p>\n<p>An agent is well-suited to that. It can take a piece you\u2019ve already published and spin it into a set of posts across your channels, so the work keeps circulating instead of going quiet a day after launch.<\/p>\n<p>In Agent A, you point it at a published article or a video transcript. It picks out the strongest quotes, the surprising numbers, and the points worth arguing, then writes posts that fit each platform, because a LinkedIn post and a tweet are not the same animal. You get a batch to review, edit the ones worth editing, and schedule the&nbsp;rest.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image7.png\" alt=\"Agent A social tool turning one article into LinkedIn posts, tweets, and a carousel outline\"><\/p>\n<h4>Try it<\/h4>\n<p>Starting prompt for any&nbsp;agent:<\/p>\n<pre style=\"white-space: pre-wrap; word-break: break-word; overflow-wrap: anywhere; overflow: visible; max-height: none; max-width: 100%; box-sizing: border-box;\">Take [this article URL or transcript] and turn it into a week of social posts. Pull out the strongest quotes, the surprising numbers, and the points worth arguing, then write platform-specific copy: 5 LinkedIn posts, 10 tweets, and a carousel outline. Match each platform's rhythm rather than reposting the same text everywhere, and give me each as a labeled, copy-ready block I can review and schedule.<\/pre>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"A few tips for using AI agents in marketing\" data-section=\"a-few-tips-for-using-ai-agents-in-marketing\">\n<h2>A few tips for using AI agents in marketing<\/h2>\n<\/div><\/div>\n<p>Agents are powerful, but they\u2019re not hands-off. I learned these things the hard&nbsp;way:<\/p>\n<ul>\n<li><strong>Connect agents to real data<\/strong>. An agent without live data is just&nbsp;a<br>\nchatbot guessing from training that\u2019s frozen months in the past. Two agents on the same model can produce wildly different work depending on what they can&nbsp;see.<\/li>\n<li><strong>Always review before shipping<\/strong>. Agents are confident even&nbsp;when<br>\nthey\u2019re wrong, and a fluent answer reads as correct whether it is or not. So: agent prepares, human ships. Put a human in front of the few decisions you can\u2019t take back, and let the low-stakes work run on its&nbsp;own.<\/li>\n<li><strong>Use a second agent\/skill as the checker.<\/strong> An agent reviewing work<br>\ncatches what the one that made it misses, like a writer needing an editor. Give it one job: check the first agent\u2019s output against the original ask, the source data, and common sense. A maker and a checker beat one agent trying to be both. You can also ask your agent to create a \u201csupervisor\u201d skill and just invoke it whenever you want to double-check the&nbsp;work.<\/li>\n<li><strong>Stay organized<\/strong>. Every tool an agent builds is something you\u2019ll<br>\nown and maintain, so resist spinning up ten apps you\u2019ll open once. Keep a tidy set you actually use, and stay hands-on enough with the work to keep your own judgment sharp.<\/li>\n<\/ul>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Final thoughts\" data-section=\"final-thoughts\">\n<h2>Final thoughts<\/h2>\n<\/div><\/div>\n<p>For knowledge workers, including marketers, agentic AI is likely the next evolution of work. Within the next few years, many of us may be managing teams of AI agents that handle routine tasks while we focus on what machines still struggle with: judgment, creativity, relationships, and decisions that require a human&nbsp;touch.<\/p>\n<p>If you want to start working with your first agent today, try <a href=\"https:\/\/ahrefs.com\/agent-a\">Agent A<\/a>: it\u2019s already connected to Ahrefs data and can run every use case in this article out of the&nbsp;box.<\/p>\n<p>Thanks for reading! Feel free to reach out on <a href=\"https:\/\/www.linkedin.com\/in\/mateusz-makosiewicz\/\">LinkedIn<\/a> or <a href=\"https:\/\/substack.com\/@mateuszmakosiewicz\">Substack<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You give it a goal like \u201cplan the launch campaign for our new feature,\u201d and it runs the whole job. It pulls competitor positioning, drafts the landing copy, writes the announcement emails, builds a sales-enablement one-pager, files the assets in<span class=\"ellipsis\">\u2026<\/span><\/p>\n<div class=\"read-more\">Read more \u203a<\/div>\n<p><!-- end of .read-more --><\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wp_typography_post_enhancements_disabled":false,"footnotes":""},"categories":[469,390],"tags":[],"coauthors":[412],"class_list":["post-198685","post","type-post","status-publish","format-standard","hentry","category-ai-search","category-marketing","odd"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Agentic Marketing: What&#039;s the Big Deal and How to Get Started<\/title>\n<meta name=\"description\" content=\"Agentic marketing is marketing run by AI agents that take a goal and finish the job. Here&#039;s what it is, why it matters, and 11 ways to start today.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ahrefs.com\/blog\/agentic-marketing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Agentic Marketing: What&#039;s the Big Deal and How to Get Started\" \/>\n<meta property=\"og:description\" content=\"Agentic marketing is marketing run by AI agents that take a goal and finish the job. Here&#039;s what it is, why it matters, and 11 ways to start today.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ahrefs.com\/blog\/agentic-marketing\/\" \/>\n<meta property=\"og:site_name\" content=\"SEO Blog by Ahrefs\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Ahrefs\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-15T13:16:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/05\/word-image-197275-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1648\" \/>\n\t<meta property=\"og:image:height\" content=\"1168\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Mateusz Makosiewicz\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@ahrefs\" \/>\n<meta name=\"twitter:site\" content=\"@ahrefs\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/\"},\"author\":{\"name\":\"Mateusz Makosiewicz\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/#\\\/schema\\\/person\\\/c7e64c851ecc4eabb77eaefae90a440c\"},\"headline\":\"Agentic Marketing: What\u2019s the Big Deal and How to Get Started\",\"datePublished\":\"2026-06-15T13:16:49+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/\"},\"wordCount\":3274,\"publisher\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/word-image-197275-1.jpg\",\"articleSection\":[\"AI Search\",\"General Marketing\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/\",\"url\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/\",\"name\":\"Agentic Marketing: What's the Big Deal and How to Get Started\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/agentic-marketing\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/word-image-197275-1.jpg\",\"datePublished\":\"2026-06-15T13:16:49+00:00\",\"description\":\"Agentic marketing is marketing run by AI agents that take a goal and finish the job. 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