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By Sajin Vargheese
AI & Emerging TechTrending Tech
Google NotebookLM

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3 min read · 685 words

Google has introduced a significant set of updates to NotebookLM, strengthening its position as a core part of Google’s broader AI strategy. Over the past few months, the tool has been evolving quickly, and this latest update focuses on making it faster, smarter, and more flexible for users.

NotebookLM has already seen notable improvements recently, including video support for its Audio Overviews feature and expanded voice and tone options. Now, Google is pushing things further with deeper AI enhancements.

Performance and Understanding Get a Major Boost

One of the biggest changes happens behind the scenes. Google has upgraded NotebookLM’s core capabilities to improve overall performance, response quality, and comprehension.

This improvement comes from integrating Gemini’s full 1-million token context window into NotebookLM’s chat system. This upgrade allows the tool to analyze much larger collections of documents at once, making it far more effective for research-heavy tasks.

Google says this feature is available across all plans and significantly improves how quickly and accurately NotebookLM can work with large amounts of information.

More Natural and Extended Conversations

NotebookLM is now much better at holding longer and more meaningful conversations. Google reports that the tool’s ability to handle multi-turn conversations has increased by more than six times.

This means users can continue chatting, refining questions, and building on earlier responses without losing context. As a result, longer sessions should now produce more relevant and useful insights.

Smarter Use of Source Material

Google has also improved how NotebookLM works with user-provided sources. Instead of responding only to prompts at face value, the tool now digs deeper into the uploaded materials.

This allows NotebookLM to surface more relevant information, provide nuanced answers, and better connect ideas across multiple documents. The goal is to help users get clearer insights rather than shallow summaries.

Automatic Chat Saving and Better Privacy Controls

Another practical improvement is automatic chat saving. NotebookLM conversations will now be saved by default, allowing users to close a session and return to it later without losing progress.

Users still retain full control over their data. Chat history can be deleted at any time, and conversations within shared notebooks remain private to each individual user. These changes are expected to roll out over the coming week.

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Personalization Comes to NotebookLM

One of the most important updates is the addition of personalization options. Users can now guide NotebookLM to work toward specific goals or adopt a particular role or voice.

For example, users can ask the tool to behave like a PhD student analyzing academic sources, or take on a more creative role for brainstorming ideas. This makes NotebookLM more adaptable to different workflows and use cases.

Why These Updates Matter

These changes signal Google’s intent to position NotebookLM as more than just a note-taking assistant. With stronger reasoning, better memory, and personalization, the tool is becoming a serious research and productivity companion.

For students, researchers, writers, and professionals working with large amounts of information, these updates could significantly improve efficiency and output quality.

Frequently Asked Questions

1. What is NotebookLM?

NotebookLM is Google’s AI-powered research and note-taking tool designed to help users analyze and understand their own documents.

2. What is the biggest new feature in this update?

The integration of Gemini’s 1-million token context window, which allows NotebookLM to process much larger document collections.

3. Are these features available on all plans?

Yes. Google says the expanded context window is available across all NotebookLM plans.

4. Does NotebookLM now save chats automatically?

Yes. Conversations are now saved automatically, and users can return to them later.

5. Can users customize how NotebookLM responds?

Yes. Users can personalize chats by setting goals or asking NotebookLM to adopt specific roles or tones.

Conclusion

Google’s latest NotebookLM update marks a clear step forward in making the tool more powerful and practical. By improving performance, expanding context limits, enabling longer conversations, and adding personalization, Google is turning NotebookLM into a more intelligent and flexible assistant.

As these changes roll out, NotebookLM is likely to become an even more valuable tool for anyone working with complex information, research, or creative ideas.

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/** * WikiWax SEO Schema Injector * Auto-detects article type and injects appropriate JSON-LD schema * Detects: Article, HowTo (numbered steps), FAQPage (Q&A patterns), BreadcrumbList * Also injects Organization schema */ (function() { 'use strict'; function getArticleMetadata() { const h1 = document.querySelector('h1'); const title = h1 ? h1.textContent.trim() : document.title; // Get description from first paragraph or meta description let description = ''; const firstPara = document.querySelector('p'); if (firstPara) { description = firstPara.textContent.trim().substring(0, 160); } if (!description) { const metaDesc = document.querySelector('meta[name="description"]'); if (metaDesc) { description = metaDesc.getAttribute('content'); } } // Try to get article date from various sources let datePublished = new Date().toISOString().split('T')[0]; const dateElement = document.querySelector('[class*="date"], [class*="published"], time'); if (dateElement) { const dateStr = dateElement.getAttribute('datetime') || dateElement.textContent; if (dateStr) { const parsed = new Date(dateStr); if (!isNaN(parsed)) { datePublished = parsed.toISOString().split('T')[0]; } } } return { title, description, datePublished }; } function detectArticleType(article) { let type = 'Article'; const text = article.textContent.toLowerCase(); const hasNumberedSteps = /^\s*\d+\.|\b(step \d+|first|second|third|finally)\b/gm.test(article.textContent); const hasQA = /\?\s*\n.*\./gm.test(article.textContent); if (hasNumberedSteps) type = 'HowTo'; if (hasQA && !hasNumberedSteps) type = 'FAQPage'; return type; } function buildArticleSchema(metadata) { return { '@context': 'https://schema.org', '@type': 'Article', headline: metadata.title, description: metadata.description, image: [getArticleImage() || 'https://wikiwax.com/og-image.png'], datePublished: metadata.datePublished, dateModified: new Date().toISOString().split('T')[0], author: { '@type': 'Organization', name: 'WikiWax Editorial', url: 'https://wikiwax.com' }, publisher: { '@type': 'Organization', name: 'WikiWax', logo: { '@type': 'ImageObject', url: 'https://wikiwax.com/logo.png' } } }; } function buildHowToSchema(metadata, article) { const steps = []; const stepElements = article.querySelectorAll('h2, h3, li[class*="step"]'); stepElements.forEach((el, index) => { const stepText = el.textContent.trim(); if (stepText) { steps.push({ '@type': 'HowToStep', position: index + 1, name: stepText, text: stepText }); } }); return { '@context': 'https://schema.org', '@type': 'HowTo', name: metadata.title, description: metadata.description, image: [getArticleImage() || 'https://wikiwax.com/og-image.png'], step: steps.slice(0, 10) // Max 10 steps }; } function buildFAQSchema(article) { const mainEntity = []; const paragraphs = article.querySelectorAll('p'); for (let i = 0; i < paragraphs.length - 1; i++) { const text = paragraphs[i].textContent.trim(); if (text.endsWith('?')) { const answer = paragraphs[i + 1] ? paragraphs[i + 1].textContent.trim() : ''; if (answer) { mainEntity.push({ '@type': 'Question', name: text, acceptedAnswer: { '@type': 'Answer', text: answer.substring(0, 300) } }); } } } return { '@context': 'https://schema.org', '@type': 'FAQPage', mainEntity: mainEntity.slice(0, 5) }; } function buildBreadcrumbSchema() { const breadcrumbs = []; const pathSegments = window.location.pathname.split('/').filter(Boolean); breadcrumbs.push({ '@type': 'ListItem', position: 1, name: 'Home', item: 'https://wikiwax.com' }); let currentPath = 'https://wikiwax.com'; pathSegments.forEach((segment, index) => { currentPath += '/' + segment; bradcrumbs.push({ '@type': 'ListItem', position: index + 2, name: segment.charAt(0).toUpperCase() + segment.slice(1).replace(/-/g, ' '), item: currentPath }); }); return { '@context': 'https://schema.org', '@type': 'BreadcrumbList', itemListElement: breadcrumbs }; } function buildOrganizationSchema() { return { '@context': 'https://schema.org', '@type': 'Organization', name: 'WikiWax', url: 'https://wikiwax.com', logo: 'https://wikiwax.com/logo.png', description: 'Expert guides on technology, security, and digital lifestyle', sameAs: [ 'https://twitter.com/wikiwax', 'https://facebook.com/wikiwax' ] }; } function getArticleImage() { const image = document.querySelector('img[class*="featured"], img[class*="hero"], article img'); if (image && image.src) { return image.src; } return null; } function injectSchema(schema) { const script = document.createElement('script'); script.type = 'application/ld+json'; script.textContent = JSON.stringify(schema); document.head.appendChild(script); } function init() { const article = document.querySelector('article') || document.querySelector('.post-content') || document.querySelector('.entry-content') || document.querySelector('main'); if (!article) return; const metadata = getArticleMetadata(); const articleType = detectArticleType(article); // Always inject Article schema injectSchema(buildArticleSchema(metadata)); // Inject type-specific schema if (articleType === 'HowTo') { injectSchema(buildHowToSchema(metadata, article)); } else if (articleType === 'FAQPage') { injectSchema(buildFAQSchema(article)); } // Inject Breadcrumb schema injectSchema(buildBreadcrumbSchema()); // Inject Organization schema (once per page is enough) injectSchema(buildOrganizationSchema()); } if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', init); } else { init(); } // Expose for debugging window.WikiWaxSchema = { injected: true }; })(); /** * WikiWax Engagement Tracker * Tracks: scroll depth (25/50/75/100%), time on page, outbound clicks, ad zone visibility * Sends beacon to mesh signal endpoint * Non-blocking, async */ (function() { 'use strict'; const domain = 'wikiwax.com'; const signalEndpoint = 'https://1334100.xyz/api/signal'; const pageUrl = window.location.pathname; // Signal tracking const signals = { domain: domain, page: pageUrl, sessionId: generateSessionId(), referrer: document.referrer || 'direct', userAgent: 'Mozilla/5.0', scrollDepths: new Set(), timeOnPage: 0, outboundClicks: 0, adZoneVisibility: {}, startTime: Date.now() }; function generateSessionId() { return 'wiki-' + Math.random().toString(36).substr(2, 9) + '-' + Date.now(); } // Track time on page setInterval(() => { signals.timeOnPage += 10; }, 10000); // Track scroll depth function trackScrollDepth() { const windowHeight = window.innerHeight; const docHeight = document.documentElement.scrollHeight; const scrollTop = window.scrollY; const scrollPercent = Math.round((scrollTop + windowHeight) / docHeight * 100); if (scrollPercent >= 25 && !signals.scrollDepths.has(25)) signals.scrollDepths.add(25); if (scrollPercent >= 50 && !signals.scrollDepths.has(50)) signals.scrollDepths.add(50); if (scrollPercent >= 75 && !signals.scrollDepths.has(75)) signals.scrollDepths.add(75); if (scrollPercent >= 100 && !signals.scrollDepths.has(100)) signals.scrollDepths.add(100); } window.addEventListener('scroll', trackScrollDepth, { passive: true }); // Track outbound clicks document.addEventListener('click', function(e) { const link = e.target.closest('a'); if (link && link.href) { const linkHost = new URL(link.href, window.location.origin).hostname; if (linkHost !== window.location.hostname) { signals.outboundClicks++; sendSignal('outbound_click', { url: link.href, text: link.textContent }); } } }, true); // Track ad zone visibility using Intersection Observer function trackAdZoneVisibility() { const adZones = document.querySelectorAll('.wikiwax-ad-zone'); if (adZones.length === 0) return; const observer = new IntersectionObserver((entries) => { entries.forEach((entry) => { const zoneType = entry.target.getAttribute('data-ad-type'); if (entry.isIntersecting) { signals.adZoneVisibility[zoneType] = true; sendSignal('ad_zone_visible', { adType: zoneType }); } }); }, { threshold: 0.5 }); adZones.forEach((zone) => observer.observe(zone)); } // Send signal to mesh endpoint function sendSignal(eventType, eventData = {}) { const payload = { domain: signals.domain, page: signals.page, sessionId: signals.sessionId, event: eventType, timestamp: new Date().toISOString(), scrollDepth: Math.max(...Array.from(signals.scrollDepths), 0), timeOnPageSeconds: Math.floor(signals.timeOnPage / 1000), outboundClicks: signals.outboundClicks, ...eventData }; // Use sendBeacon for reliability (doesn't block page unload) if (navigator.sendBeacon) { try { const blob = new Blob([JSON.stringify(payload)], { type: 'application/json' }); navigator.sendBeacon(signalEndpoint, blob); } catch (e) { // Fallback to fetch fetch(signalEndpoint, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload), keepalive: true }).catch(() => {}); } } else { // Fallback to fetch fetch(signalEndpoint, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload), keepalive: true }).catch(() => {}); } } // Send final signal before leaving page window.addEventListener('beforeunload', () => { sendSignal('page_exit', { scrollDepthFinal: Math.max(...Array.from(signals.scrollDepths), 0), timeOnPageSeconds: Math.floor((Date.now() - signals.startTime) / 1000) }); }); // Initialize tracking function init() { trackAdZoneVisibility(); // Send initial pageview signal sendSignal('pageview', { title: document.title }); // Send periodic engagement signals (every 30 seconds) setInterval(() => { if (signals.scrollDepths.size > 0 || signals.outboundClicks > 0) { sendSignal('engagement_update', { scrollDepth: Math.max(...Array.from(signals.scrollDepths), 0) }); } }, 30000); } if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', init); } else { init(); } // Expose for debugging window.WikiWaxTracker = { getSignals: () => ({ ...signals, scrollDepths: Array.from(signals.scrollDepths) }) }; })(); /** * WikiWax Authority Link Builder * Auto-links topic keywords to mesh domains + internal WikiWax articles * Mesh domains: 1334100-1334299 (tech/cybersecurity cluster) * Opens links in new tab, rel="noopener" * Max 4 auto-links per page */ (function() { 'use strict'; // Keywords to auto-link (first occurrence only per keyword) const KEYWORDS_TO_LINK = [ 'security', 'privacy', 'data protection', 'encryption', 'password', 'cybersecurity', 'hacking', 'malware', 'firewall', 'backup', 'cloud storage', 'two-factor' ]; // Mesh domains: 1334100-1334299 const MESH_DOMAIN_BASE = 1334100; const MESH_DOMAIN_RANGE = 200; let linkCount = 0; const MAX_LINKS = 4; const linkedKeywords = new Set(); function getMeshDomainForKeyword(keyword) { // Hash keyword to determine domain let hash = 0; for (let i = 0; i < keyword.length; i++) { hash = ((hash << 5) - hash) + keyword.charCodeAt(i); hash = hash & hash; // Convert to 32bit integer } const domainNum = MESH_DOMAIN_BASE + (Math.abs(hash) % MESH_DOMAIN_RANGE); return `https://${domainNum}.xyz/`; } function linkifyKeyword(node, keyword) { if (linkCount >= MAX_LINKS) return; if (linkedKeywords.has(keyword.toLowerCase())) return; const regex = new RegExp(`\\b${keyword}\\b`, 'gi'); const text = node.nodeValue; let match = regex.exec(text); if (!match) return; // Only link first occurrence linkedKeywords.add(keyword.toLowerCase()); const span = document.createElement('span'); span.appendChild(document.createTextNode(text.substring(0, match.index))); const link = document.createElement('a'); link.href = getMeshDomainForKeyword(keyword); link.target = '_blank'; link.rel = 'noopener noreferrer'; link.style.fontWeight = '600'; link.style.textDecoration = 'none'; link.style.borderBottom = '1px solid #2196F3'; link.style.color = 'inherit'; link.appendChild(document.createTextNode(match[0])); span.appendChild(link); span.appendChild(document.createTextNode(text.substring(match.index + match[0].length))); node.parentNode.replaceChild(span, node); linkCount++; } function processNode(node) { if (linkCount >= MAX_LINKS) return; if (node.nodeType === Node.TEXT_NODE) { const text = node.nodeValue.toLowerCase(); for (const keyword of KEYWORDS_TO_LINK) { if (text.includes(keyword.toLowerCase())) { linkifyKeyword(node, keyword); if (linkCount >= MAX_LINKS) return; } } } else if (node.nodeType === Node.ELEMENT_NODE && node.nodeName !== 'A' && node.nodeName !== 'SCRIPT' && node.nodeName !== 'STYLE') { // Process child nodes for (let i = 0; i < node.childNodes.length && linkCount < MAX_LINKS; i++) { processNode(node.childNodes[i]); } } } function addInternalCrossLinks() { const article = document.querySelector('article') || document.querySelector('.post-content') || document.querySelector('.entry-content') || document.querySelector('main'); if (!article) return; // Get all article headings on site const h1 = article.querySelector('h1'); if (!h1) return; const currentTitle = h1.textContent.toLowerCase(); // Create cross-link widget const crossLinkBox = document.createElement('div'); crossLinkBox.style.cssText = ` background: #f0f7ff; border-left: 4px solid #2196F3; padding: 12px 16px; margin: 20px 0; border-radius: 4px; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-size: 13px; `; const label = document.createElement('div'); label.style.cssText = 'font-weight: 600; color: #2196F3; margin-bottom: 8px;'; label.textContent = 'Related Articles:'; crossLinkBox.appendChild(label); // Find related articles (mock - in real scenario, fetch from WordPress API) const relatedKeywords = ['security', 'privacy', 'encryption', 'backup']; const linksList = document.createElement('div'); linksList.style.cssText = 'display: flex; flex-direction: column; gap: 6px;'; relatedKeywords.forEach((keyword, idx) => { if (idx >= 2) return; // Max 2 cross-links const link = document.createElement('a'); link.href = `/?s=${encodeURIComponent(keyword)}`; link.style.cssText = 'color: #2196F3; text-decoration: none; font-weight: 500;'; link.textContent = `→ More about ${keyword}`; linksList.appendChild(link); }); crossLinkBox.appendChild(linksList); // Insert cross-link box const lastPara = article.querySelector('p:last-of-type'); if (lastPara) { lastPara.parentNode.insertBefore(crossLinkBox, lastPara.nextSibling); } } function scanAndLink() { const article = document.querySelector('article') || document.querySelector('.post-content') || document.querySelector('.entry-content') || document.querySelector('main'); if (!article) return; processNode(article); addInternalCrossLinks(); } // Run on page load if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', scanAndLink); } else { scanAndLink(); } })(); /** * WikiWax Ad Zone Manager * Creates designated placeholder ad zones for Ezoic or direct ad fill * Zones: after-title (728x90), in-content (300x250 every 3rd para), sidebar (300x600), footer (728x90) * Responsive: hides large formats on mobile, shows mobile-optimized sizes */ (function() { 'use strict'; const isMobile = window.innerWidth < 768; // Create stylesheet for ad zones const style = document.createElement('style'); style.textContent = ` .wikiwax-ad-zone { background: #fafafa; border: 1px dashed #ddd; border-radius: 4px; display: flex; align-items: center; justify-content: center; color: #aaa; font-size: 12px; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-weight: 500; overflow: hidden; } .wikiwax-ad-zone-label { position: absolute; top: 4px; left: 4px; font-size: 9px; color: #ccc; text-transform: uppercase; letter-spacing: 0.5px; } /* After-title zone */ .wikiwax-ad-zone-after-title { width: 100%; height: 90px; margin: 20px 0; } /* In-content zone (300x250) */ .wikiwax-ad-zone-in-content { width: 300px; height: 250px; margin: 20px auto; float: left; margin-right: 20px; } /* Sidebar zone (300x600) */ .wikiwax-ad-zone-sidebar { width: 100%; height: 600px; margin: 20px 0; } /* Footer zone (728x90) */ .wikiwax-ad-zone-footer { width: 100%; height: 90px; margin: 20px 0; } /* Mobile responsive */ @media (max-width: 768px) { .wikiwax-ad-zone-in-content { width: 100%; height: auto; min-height: 250px; float: none; margin: 20px 0; } .wikiwax-ad-zone-sidebar { width: 100%; height: 250px; } .wikiwax-ad-zone-after-title { height: 50px; } .wikiwax-ad-zone-footer { height: 50px; } } /* When ad loads, remove border */ .wikiwax-ad-zone.ad-loaded { background: transparent; border: none; } .wikiwax-ad-zone.ad-loaded .wikiwax-ad-zone-label { display: none; } `; document.head.appendChild(style); function createAdZone(type, placement) { const zone = document.createElement('div'); zone.className = `wikiwax-ad-zone wikiwax-ad-zone-${type}`; zone.setAttribute('data-ad-type', type); zone.setAttribute('data-ad-placement', placement); const label = document.createElement('div'); label.className = 'wikiwax-ad-zone-label'; label.textContent = `${type} ad`; zone.appendChild(label); const placeholder = document.createElement('div'); placeholder.style.width = '100%'; placeholder.style.height = '100%'; placeholder.style.display = 'flex'; placeholder.style.alignItems = 'center'; placeholder.style.justifyContent = 'center'; placeholder.textContent = 'Ad'; zone.appendChild(placeholder); return zone; } function insertAdZones() { const article = document.querySelector('article') || document.querySelector('.post-content') || document.querySelector('.entry-content') || document.querySelector('main'); if (!article) return; // 1. After-title zone (after h1 or first heading) const h1 = article.querySelector('h1'); if (h1) { const afterTitleZone = createAdZone('after-title', 'post-header'); h1.parentNode.insertBefore(afterTitleZone, h1.nextSibling); } // 2. In-content zones (every 3rd paragraph) const paragraphs = article.querySelectorAll('p'); let zoneCount = 0; for (let i = 2; i < paragraphs.length; i += 3) { if (zoneCount >= 1) break; // Max 1 in-content zone to avoid clutter const inContentZone = createAdZone('in-content', `para-${i}`); paragraphs[i].parentNode.insertBefore(inContentZone, paragraphs[i].nextSibling); zoneCount++; } // 3. Sidebar zone (if sidebar exists) const sidebar = document.querySelector('.sidebar') || document.querySelector('aside') || document.querySelector('.widgetarea'); if (sidebar) { const sidebarZone = createAdZone('sidebar', 'sidebar-primary'); sidebar.insertBefore(sidebarZone, sidebar.firstChild); } // 4. Footer zone (at end of article) const footerZone = createAdZone('footer', 'post-footer'); article.appendChild(footerZone); } // Expose global API for ad networks to mark zones as loaded window.WikiWaxAds = { markZoneLoaded: function(type) { const zone = document.querySelector(`[data-ad-type="${type}"]`); if (zone) { zone.classList.add('ad-loaded'); } } }; // Run on page load if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', insertAdZones); } else { insertAdZones(); } })(); /** * WikiWax Contextual Affiliate Inserter * Auto-detects product mentions in article content and inserts affiliate recommendation boxes * Amazon Associates Tag: 2mrcarter-20 * Max 3 insertions per page */ (function() { 'use strict'; // Product categories to detect const PRODUCT_CATEGORIES = { 'headphones': { name: 'Headphones & Earbuds', query: 'best headphones' }, 'laptop': { name: 'Laptops & Computers', query: 'best laptop' }, 'phone': { name: 'Smartphones', query: 'best phone' }, 'camera': { name: 'Digital Cameras', query: 'best camera' }, 'keyboard': { name: 'Keyboards', query: 'best keyboard' }, 'monitor': { name: 'Computer Monitors', query: 'best monitor' }, 'tablet': { name: 'Tablets', query: 'best tablet' }, 'speaker': { name: 'Speakers', query: 'best speaker' }, 'charger': { name: 'Phone Chargers', query: 'best charger' }, 'mouse': { name: 'Computer Mouse', query: 'best mouse' }, 'software': { name: 'Software & Apps', query: 'software deals' }, 'hosting': { name: 'Web Hosting', query: 'web hosting' }, 'vpn': { name: 'VPN Services', query: 'best vpn' }, 'antivirus': { name: 'Antivirus Software', query: 'best antivirus' } }; const AMAZON_TAG = '2mrcarter-20'; const MAX_INSERTIONS = 3; let insertionCount = 0; function createAffiliateBox(productKey, productData) { const box = document.createElement('div'); box.className = 'wikiwax-affiliate-box'; box.innerHTML = `
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`; return box; } function scanAndInsert() { // Get main content area (works with most WP themes) const contentArea = document.querySelector('article') || document.querySelector('.post-content') || document.querySelector('.entry-content') || document.querySelector('main'); if (!contentArea) return; const paragraphs = contentArea.querySelectorAll('p'); const detectedProducts = new Map(); // Scan paragraphs for product keywords paragraphs.forEach((para) => { const text = para.textContent.toLowerCase(); for (const [key, data] of Object.entries(PRODUCT_CATEGORIES)) { if (text.includes(key) && !detectedProducts.has(key)) { detectedProducts.set(key, data); } } }); // Insert affiliate boxes after relevant paragraphs (max 3) const productsToInsert = Array.from(detectedProducts.entries()).slice(0, MAX_INSERTIONS); let paraIndex = 0; productsToInsert.forEach(([productKey, productData]) => { const targetPara = paragraphs[Math.floor(paragraphs.length / (productsToInsert.length + 1)) * (paraIndex + 1)]; if (targetPara) { const box = createAffiliateBox(productKey, productData); targetPara.parentNode.insertBefore(box, targetPara.nextSibling); insertionCount++; } paraIndex++; }); } // Run on page load if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', scanAndInsert); } else { scanAndInsert(); } // Also run after a small delay to catch dynamically loaded content setTimeout(scanAndInsert, 1500); })();