{"id":2566,"date":"2025-04-30T13:22:24","date_gmt":"2025-04-30T13:22:24","guid":{"rendered":"https:\/\/www.stanventures.com\/news\/?p=2566"},"modified":"2025-10-29T07:24:55","modified_gmt":"2025-10-29T07:24:55","slug":"googles-agent2agent-protocol","status":"publish","type":"post","link":"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/","title":{"rendered":"Google\u2019s Agent2Agent Protocol: Brace for The Next Big Shift in SEO"},"content":{"rendered":"<p>If you feel like the SEO world is shifting under your feet, you\u2019re not imagining things. The rise of AI-powered search \u2013 think Google\u2019s AI overviews in Search Generative Experience, ChatGPT\u2019s answers, or Perplexity\u2019s cited responses \u2013 is altering how people find information.\u00a0<\/p>\n<p>Instead of ten blue links, users now get conversational answers <i>with<\/i> citations and context. This is where Generative Engine Optimization (GEO) comes in.\u00a0<\/p>\n<p>GEO means optimizing your content so that AI engines (ChatGPT, Claude, Google\u2019s Gemini, Perplexity, etc.) include your brand\u2019s insights in their answers\u200b<\/p>\n<p>In essence, it\u2019s the process of making your digital content visible and valuable to generative AI when people ask about topics related to your expertise.\u00a0<\/p>\n<p>And just like with traditional SEO, the goal is clear: if the AI consistently sources <i>you<\/i> in its answers, your brand stays top-of-mind (and yes, that can lead to more clicks and engagement)\u200b.\u00a0<\/p>\n<p>We\u2019ve seen this trend already.\u00a0<\/p>\n<p>Google\u2019s own data shows that when an AI Overview in Search includes links, those links get <a href=\"https:\/\/blog.google\/products\/search\/generative-ai-google-search-may-2024\/#:~:text=With%20AI%20Overviews%2C%20people%20are,continue%20to%20focus%20on%20sending\">more clicks than a regular search listing<\/a>\u200b<\/p>\n<p>Users get a quick answer and still visit the source for depth \u2013 a double win. As a marketer, I find that encouraging: AI isn\u2019t stealing our traffic outright; it\u2019s reshuffling it.<\/p>\n<p>The task for us now is to ensure our content is the one being quoted, cited, or used by these AI assistants.\u00a0<\/p>\n<p>It\u2019s a bit like the early days of featured snippets \u2013 except the \u201csnippet\u201d is an AI-generated paragraph and we need to train the AI <i>what to say<\/i>.\u00a0<\/p>\n<p>This is the heart of GEO. But how exactly do we \u201ctrain\u201d or influence AI models to prefer our content?\u00a0<\/p>\n<p>Enter Google\u2019s new Agent2Agent protocol, a tech innovation that might just become SEO\u2019s new secret weapon in the era of AI.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-2567 size-full\" src=\"https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/04\/image1.png\" alt=\"Google\u2019s Agent2Agent\" width=\"1600\" height=\"476\" srcset=\"https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/04\/image1.png 1600w, https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/04\/image1-300x89.png 300w, https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/04\/image1-1024x305.png 1024w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\"><\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/#meet-googles-agent2agent-a2a-a-glimpse-into-seos-future\" >Meet Google\u2019s Agent2Agent (A2A): A Glimpse into SEO\u2019s Future<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/#how-agent-cards-could-become-an-ai-%e2%80%9csource-of-truth%e2%80%9d\" >How Agent Cards Could Become an AI \u201cSource of Truth\u201d<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/#one-schema-to-rule-them-all-consistency-across-ai-platforms\" >One Schema to Rule Them All: Consistency Across AI Platforms<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/#what-this-means-for-seo-agencies-and-cmos\" >What This Means for SEO Agencies and CMOs<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"meet-googles-agent2agent-a2a-a-glimpse-into-seos-future\"><\/span><b>Meet Google\u2019s Agent2Agent (A2A): A Glimpse into SEO\u2019s Future<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Leave it to Google to drop a game-changer for <a href=\"https:\/\/developers.googleblog.com\/en\/a2a-a-new-era-of-agent-interoperability\/#:~:text=Today%2C%20we%E2%80%99re%20launching%20a%20new%2C,be%20able%20to%20work%20across\">AI interoperability<\/a> in April 2025\u200b<\/p>\n<p>Agent2Agent (A2A) is an open protocol designed for AI agents to communicate with each other seamlessly, almost like a universal language for bots.\u00a0<\/p>\n<p>Google launched A2A with over 50 tech partners on board\u200b \u2013 everyone from big enterprise software companies to AI framework developers \u2013 signaling that this could be the foundation for a whole new ecosystem of connected AI.\u00a0<\/p>\n<p>So, what does that mean in plain English for us SEO and marketing folks?\u00a0<\/p>\n<p>Think of A2A as a set of rules that lets one AI system talk to another.\u00a0<\/p>\n<p>For example, one AI \u201cagent\u201d could be Google\u2019s search AI trying to answer a question, and another could be an AI that your company built to provide details about your products.\u00a0<\/p>\n<p>A2A would be the protocol that lets Google\u2019s AI ask your AI for the info \u2013 and get a straight answer.\u00a0<\/p>\n<p>No scraping web pages, no hoping it interpreted your content correctly.\u00a0<\/p>\n<p>It\u2019s a direct line to the source. And it all starts with something called the Agent Card.<\/p>\n<h3><b>The Agent Card: Your AI Business Card<\/b><\/h3>\n<p>At the heart of A2A is the concept of an Agent Card \u2013 basically a JSON file that serves as a digital business card for an AI agent\u200b<\/p>\n<p>In <a href=\"https:\/\/github.com\/google\/A2A#:~:text=,to%20an%20A2A%20Server%27s%20URL\">developer terms<\/a>, it\u2019s a public metadata file (usually hosted at \/.well-known\/agent.json on your server) describing the agent\u2019s capabilities, skills, identity, and how to talk to it\u200b.<\/p>\n<p>In marketer terms, it\u2019s like a rich, structured profile of what your brand\u2019s AI assistant can do. It might include things like:<\/p>\n<p><b>Description:<\/b> What information or tasks your agent can handle (e.g., \u201cThis agent provides up-to-date details on Acme Corp\u2019s products, pricing, and store locations\u201d).<\/p>\n<p><b>Capabilities:<\/b> The specific knowledge or services it offers (maybe \u201ccan answer FAQs,\u201d \u201ccan process orders,\u201d etc.).<\/p>\n<p><b>Endpoints:<\/b> How to contact it (an API URL where the AI agent lives).<\/p>\n<p><b>Authentication:<\/b> Any keys or permissions needed to use it.<\/p>\n<p>Think of it this way: if today\u2019s SEO relies on HTML tags and schema markup to tell Google what\u2019s on your site, the Agent Card is a future way to tell AI agents what your digital assistant (or data source) can provide.\u00a0<\/p>\n<p>It\u2019s a one-stop JSON snapshot of your brand\u2019s knowledge and capabilities.\u00a0<\/p>\n<p>Google\u2019s A2A announcement suggests that a client AI (like a search engine AI) can fetch this Agent Card to discover what a remote agent (like your brand\u2019s AI) knows or can do\u200b.<\/p>\n<p>In other words, if Google\u2019s AI is trying to answer a user query, it could look at Agent Cards to find the best source of info. This could be huge for SEO: rather than crawling dozens of pages to piece together an answer, the AI may go straight to the most relevant agent.\u00a0<\/p>\n<p>If your Agent Card is well-optimized and up-to-date, you might be the chosen one for that answer. In a sense, your Agent Card becomes the \u201csource of truth\u201d for that topic, as far as the AI is concerned.\u00a0<\/p>\n<p>Google isn\u2019t doing this out of charity to webmasters. Of course, they smell money and opportunity.<\/p>\n<p>It\u2019s solving a problem: AI agents need accurate, structured info to be reliable.\u00a0<\/p>\n<p>From my perspective, though, this is a golden opportunity. We always talk about \u201cstructured data\u201d in SEO \u2013 adding schema.org markup for recipes, products, etc.\u00a0<\/p>\n<p>A2A takes that to the next level. It\u2019s like Google saying: <i>\u201cGive us an official JSON endpoint for your knowledge, and our AI will use it.\u201d<\/i>\u00a0<\/p>\n<p>As an SEO old-timer, I can\u2019t help but see parallels to the advent of XML sitemaps or RSS feeds \u2013 channels where we directly feed search engines our content in a format easy for them to digest.\u00a0<\/p>\n<p>The Agent Card could become the go-to feed for <a href=\"https:\/\/www.hpe.com\/in\/en\/what-is\/ai-models.html\">AI models<\/a> seeking factual, source-approved information.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"how-agent-cards-could-become-an-ai-%e2%80%9csource-of-truth%e2%80%9d\"><\/span><b>How Agent Cards Could Become an AI \u201cSource of Truth\u201d<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Let\u2019s drill down on that \u201csource of truth\u201d idea.\u00a0<\/p>\n<p>Right now, large language models (LLMs) like GPT-4 are trained on vast swaths of the internet.<\/p>\n<p>They <i>know<\/i> a lot, but they\u2019re not always up-to-date or accurate on specific, niche, or real-time info.<\/p>\n<p>That\u2019s why we see efforts like Bing\u2019s and Google\u2019s AI results citing recent sources \u2013 the LLMs are being augmented with real-time search data. If you\u2019ve used tools like Bing Chat or Perplexity, you\u2019ve noticed they always show footnotes.\u00a0<\/p>\n<p>Those are essentially the AI saying, <i>\u201cHere\u2019s where I got this info.\u201d<\/i> Now, imagine instead of trawling the web, the AI could just call an expert agent for the info.\u00a0<\/p>\n<p>This is where A2A shines. The Agent Card tells the AI what an agent knows.\u00a0<\/p>\n<p>If your company\u2019s agent has an entry that it knows \u201ccurrent stock levels and prices for Product X,\u201d a search AI could see that in the Agent Card and decide, \u201cGreat, that\u2019s my best source.\u201d\u00a0<\/p>\n<p>It\u2019s a bit like a librarian calling up an expert on the phone to answer a question, rather than pulling books off the shelf at random.\u00a0<\/p>\n<p>Here\u2019s a hypothetical scenario. It\u2019s not far-fetched \u2013 it\u2019s where all this could be heading in a year or two:<\/p>\n<p>Use Case: <i>A Day in the Life of an AI-Assisted Search<\/i><\/p>\n<p>A user asks, \u201cWhat\u2019s the best electric car under $40k I can buy right now?\u201dGoogle\u2019s AI (powered by Gemini) breaks this down. It might consult a few A2A agents:<\/p>\n<p><b>Step 1: <\/b>It pings Tesla\u2019s public agent (because Tesla\u2019s Agent Card says it can answer detailed questions about models, pricing, and availability) and gets data on the Model 3.<\/p>\n<p><b>Step 2: <\/b>It pings a Ford agent for info on the Mustang Mach-E, a Chevrolet agent for the Bolt, etc. Each of these agents responds via the A2A protocol with the latest specs and prices (maybe even inventory).<\/p>\n<p><b>Step 3: <\/b>It might also ping a trusted automotive review agent (say, Car&amp;Driver\u2019s agent or a Consumer Reports agent) for an expert rating or safety info.<\/p>\n<p><b>Step 4: <\/b>Now Google\u2019s AI has a trove of fresh, authoritative data: straight from the manufacturers and experts. It composes an overview: \u201cBased on the latest data, the Tesla Model 3 (starting at $35k) and the Ford Mustang Mach-E (around $38k) are top contenders\u200b, with Tesla offering longer range and Ford boasting more cargo space. (Data via Tesla &amp; Ford agents.)\u201d It cites the sources (perhaps linking to the Agent Cards or the websites). The user gets a rich answer, <i>and<\/i> can click through to those carmakers for details.<\/p>\n<p>In that scenario, notice how the brands ensured they were part of the conversation: they maintained A2A agents with good Agent Cards. The AI knew exactly who to \u201cask\u201d for car prices because the Agent Cards advertised that capability\u200b<\/p>\n<p>It\u2019s not hard to imagine that in the near future, having an Agent Card could be as critical as having a website indexed on Google is today.\u00a0<\/p>\n<p>No Agent Card might mean the AI overlooks you as a source, the same way a site with poor SEO might not rank on page 1 today.\u00a0<\/p>\n<p>From an optimization standpoint, this is both exciting and challenging. On one hand, it simplifies things: ensure your Agent Card (your AI\u2019s \u201cprofile\u201d) is complete and accurate, and your info can be pulled into many experiences.\u00a0<\/p>\n<p>On the other hand, it introduces <i>new<\/i> things to optimize. For instance, the fields in the Agent Card (like name and description) could influence whether the AI picks your agent.\u00a0<\/p>\n<p>In fact, <a href=\"https:\/\/www.trustwave.com\/en-us\/resources\/blogs\/spiderlabs-blog\/agent-in-the-middle-abusing-agent-cards-in-the-agent-2-agent-protocol-to-win-all-the-tasks\/#:~:text=Each%20with%20its%20own%20agent,to%20the%20host%20agent%20LLM\">early security research<\/a> on A2A noted that the <i>\u201cname\u201d and \u201cdescription\u201d fields in the agent card will carry the most weight to the host agent LLM<\/i> when it\u2019s deciding which agent to use\u200b<\/p>\n<p>Sounds a bit like optimizing meta titles and descriptions, doesn\u2019t it?\u00a0<\/p>\n<p>The difference is, instead of enticing a human click, you\u2019re enticing an AI to \u201cchoose\u201d your data over others. In practical terms, Agent Card Optimization might become a new subset of GEO.<\/p>\n<p>We\u2019d be thinking about questions like: Do we clearly state our agent\u2019s expertise in the description?\u00a0<\/p>\n<p>Are we listing all the relevant capabilities (so we don\u2019t miss out on queries where we could have been the answer)?\u00a0<\/p>\n<p>Is our Agent Card accessible (at the standard \/.well-known\/agent.json location) for any AI to fetch?\u00a0<\/p>\n<p>This is akin to ensuring our XML sitemap is in place and our schema markup is correct \u2013 it\u2019s just a more dynamic, interactive version of it.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"one-schema-to-rule-them-all-consistency-across-ai-platforms\"><\/span><b>One Schema to Rule Them All: Consistency Across AI Platforms<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>One of the most compelling promises of A2A is the \u201cwrite once, serve all\u201d potential for content providers.\u00a0<\/p>\n<p>As a brand or publisher, you might only need to maintain <i>one<\/i> well-crafted schema of your info (the Agent Card + the underlying agent service), and multiple AI platforms could tap into it.\u00a0<\/p>\n<p>Let\u2019s compare this to what we do today:<\/p>\n<p><b>Current state (2023-2024)<\/b><\/p>\n<p>You create content on your website for Google\u2019s index. Maybe you also structure some of it in schema.org for things like FAQs or how-tos to get rich results.\u00a0<\/p>\n<p>Separately, you might create a chatbot on your site, or feed data to a voice assistant, or build a plugin for ChatGPT, etc. It\u2019s fragmented and repetitive.\u00a0<\/p>\n<p>You\u2019re basically trying to be present wherever the user might search \u2013 Google, Bing, voice assistants, forum answers, you name it \u2013 each often requiring a different format or strategy.<\/p>\n<p><b>Future state (with A2A and GEO)<\/b><\/p>\n<p>You maintain an Agent Card and an agent service that knows your content. Now any AI-powered platform can discover and interact with it.\u00a0<\/p>\n<p>If a user is on Bing Chat and asks about your product, Bing\u2019s AI <i>could<\/i> find your Agent Card and query your agent for the answer.\u00a0<\/p>\n<p>If a user is on Google, Google\u2019s AI could do the same. If they\u2019re using a personal assistant in their car, same thing.\u00a0<\/p>\n<p>In theory, you\u2019ve centralized your \u201cknowledge feed\u201d in a way that all these channels can use.<\/p>\n<p>This is a bit utopian \u2013 there will still be unique nuances per platform \u2013 but the efficiency gains are hard to ignore.\u00a0<\/p>\n<p>For marketers, this could reduce the need to <i>re<\/i>-optimize the same info for different AI systems. Your Agent Card becomes the canonical source of truth across platforms.\u00a0<\/p>\n<p>It\u2019s like having a single, canonical URL that everyone respects, instead of scraping content and possibly getting it wrong.<\/p>\n<h3><b>Example: The Restaurant Chain Case Study<\/b><\/h3>\n<p>To make this less abstract, consider a mid-sized restaurant chain, \u201cTasty Eats,\u201d in the near future.\u00a0<\/p>\n<p>Tasty Eats maintains an A2A agent that provides information on its locations, hours, menu specials, and even accepts reservations (through an API).\u00a0<\/p>\n<p>The agent\u2019s card (tastyeats.com\/.well-known\/agent.json) clearly outlines these capabilities in the description and skills list.\u00a0<\/p>\n<p>Now see how it plays out:<\/p>\n<p><b>On Google Search<\/b><\/p>\n<p>A user searches, \u201cIs there a Tasty Eats open near me right now?\u201d Google\u2019s AI overview checks for a Tasty Eats agent. It finds the Agent Card, sees a capability like <i>\u201cstoreLocator\u201d<\/i> or a skill <i>\u201cprovide opening hours\u201d<\/i>.\u00a0<\/p>\n<p>It calls the agent with the user\u2019s location and gets an answer: \u201cYes, the Tasty Eats on 5th Street is open until 10 PM\u201d \u2013 which it displays to the user, citing Tasty Eats as the source.<\/p>\n<p><b>On ChatGPT\u00a0<\/b><\/p>\n<p>Someone asks ChatGPT (connected to the internet), \u201cWhat\u2019s the special at Tasty Eats this week?\u201d ChatGPT, via A2A or a plugin, fetches the Agent Card, and sees that this agent can answer menu queries.\u00a0<\/p>\n<p>It asks the agent, gets the latest special (say, <i>\u201c2-for-1 taco Tuesdays\u201d<\/i>), and includes that in its answer.\u00a0<\/p>\n<p>It might respond with something conversational but accurate like, \u201cTasty Eats is running a <i>2-for-1 Taco Tuesday<\/i> deal this week (source: Tasty Eats official agent).\u201d<\/p>\n<p><b>On a voice assistant in a car<\/b><\/p>\n<p>The driver asks, \u201cNavigate to the nearest Tasty Eats that\u2019s open.\u201d The assistant uses the same agent to find the nearest open location and even get a menu teaser, all consistent with what the website and Google Search are saying.<\/p>\n<p>In all these cases, Tasty Eats didn\u2019t have to optimize three different pieces of content or rely on web crawlers guessing the right answer from its site.\u00a0<\/p>\n<p>By maintaining one well-structured agent schema, it served all platforms. From an operational standpoint, that\u2019s a big deal.\u00a0<\/p>\n<p>Marketers could spend less time worrying about every new AI app that comes out, and more time just feeding correct information into their agent.\u00a0<\/p>\n<p>Of course, competition doesn\u2019t disappear \u2013 you still need to be <i>the<\/i> preferred source. But at least you won\u2019t be omitted just because you didn\u2019t code a custom skill for Alexa or missed some new markup for Google.\u00a0<\/p>\n<p>A2A aims to level that playing field by standardizing how AIs retrieve info.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"what-this-means-for-seo-agencies-and-cmos\"><\/span><b>What This Means for SEO Agencies and CMOs<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The rise of A2A isn\u2019t just a technical evolution \u2014 it\u2019s a strategic one. SEO agencies now have an opportunity to build client visibility not just for SERPs, but for AI conversations.\u00a0<\/p>\n<p>CMOs, meanwhile, should see Agent Cards as a brand\u2019s official voice in AI-driven discovery. Whether it&#8217;s product info, FAQs, or expert positioning \u2014 feeding structured, real-time data directly into AI ecosystems will soon be a marketing baseline.\u00a0<\/p>\n<p>It won\u2019t be long before SEO audits start with: \u201cWhere\u2019s your Agent Card?\u201d And in a landscape ruled by generative AI, brands that speak directly to the machines \u2014 not just to the index \u2014 will lead the narrative. Those who get A2A-ready today won\u2019t just be found. They\u2019ll be <i>chosen<\/i>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you feel like the SEO world is shifting under your feet, you\u2019re not imagining things. The rise of AI-powered search \u2013 think Google\u2019s AI overviews in Search Generative Experience, ChatGPT\u2019s answers, or Perplexity\u2019s cited responses \u2013 is altering how people find information.\u00a0 Instead of ten blue links, users now get conversational answers with citations [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-2566","post","type-post","status-publish","format-standard","hentry","category-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google\u2019s Agent2Agent Protocol: Brace for The Next Big Shift in SEO<\/title>\n<meta name=\"description\" content=\"Discover Google&#039;s Agent2Agent Protocol \u2014 enabling seamless communication and collaboration between AI agents for smarter task execution.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google\u2019s Agent2Agent Protocol: Brace for The Next Big Shift in SEO\" \/>\n<meta property=\"og:description\" content=\"Discover Google&#039;s Agent2Agent Protocol \u2014 enabling seamless communication and collaboration between AI agents for smarter task execution.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.stanventures.com\/news\/googles-agent2agent-protocol-2566\/\" \/>\n<meta property=\"og:site_name\" content=\"Stan Ventures\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/StanVentures\/\" \/>\n<meta property=\"article:published_time\" 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