{"version":"1.0","provider_name":"WordLift Blog","provider_url":"https:\/\/wordlift.io\/blog\/en","title":"How AI Models perceive brands - Natural Language Autoencoders","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"LSf1ezkS7B\"><a href=\"https:\/\/wordlift.io\/blog\/en\/how-ai-models-perceive-brands\/\">From Frame Semantics to Natural Language Autoencoders: How AI Models Perceive Brands<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/wordlift.io\/blog\/en\/how-ai-models-perceive-brands\/embed\/#?secret=LSf1ezkS7B\" width=\"600\" height=\"338\" title=\"&#8220;From Frame Semantics to Natural Language Autoencoders: How AI Models Perceive Brands&#8221; &#8212; WordLift Blog\" data-secret=\"LSf1ezkS7B\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2026\/05\/Structured-Data-Insights-December-2024-38.png","thumbnail_width":960,"thumbnail_height":540,"description":"Explore how Sparse Autoencoders and Natural Language Autoencoders reveal the latent semantic perception of brands inside language models, and why this matters for AI Visibility, Knowledge Graphs, and structured data strategy."}