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By WikiWax Admin
AI & Emerging TechReviewsSoftware & Apps
3 min read · 567 words

AI Has Become Your Most Capable Coworker

AI productivity tools have moved past the gimmick phase into genuinely useful daily assistants. The three leading platforms integrate AI into the tools you already use for writing, organizing, analyzing, and communicating. We used all three across a month of real work tasks to determine which AI assistant actually makes you more productive versus which just adds complexity.

Notion AI: Best for Knowledge Workers ($10/month add-on)

Notion AI is embedded directly into the note-taking and project management platform that millions of teams already use. The Q&A feature searches across your entire Notion workspace and answers questions based on your documented knowledge: ask what decision was made about the product roadmap, find that meeting note from last month, or summarize all tasks assigned to a team member. This institutional memory capability is Notion AI’s strongest feature, transforming scattered notes into a queryable knowledge base.

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The writing assistant drafts, edits, summarizes, translates, and reformats text within any Notion page. Highlight a rough draft and ask it to improve clarity, change tone, make it shorter, or translate to another language. The autofill feature populates database properties automatically, like generating summaries for wiki entries or extracting action items from meeting notes. For teams that already centralize their knowledge in Notion, the AI add-on is the highest-leverage AI productivity investment available.

Microsoft Copilot: Best for Enterprise ($30/user/month)

Microsoft 365 Copilot integrates AI across Word, Excel, PowerPoint, Outlook, Teams, and OneNote. In Word, it drafts documents, rewrites sections, and summarizes long documents. In Excel, it analyzes data, creates charts, writes formulas, and explains complex spreadsheets in plain language. In PowerPoint, it generates presentation drafts from Word documents or outlines. In Outlook, it summarizes email threads, drafts replies matching your tone, and prioritizes your inbox.

The Teams integration is particularly valuable: Copilot joins your meetings to generate real-time summaries, action items, and follow-up tasks. After a meeting you missed, ask Copilot what was discussed and what was decided and receive a comprehensive summary with attributed quotes. For organizations standardized on Microsoft 365, Copilot adds AI capability to every application employees already use daily without requiring adoption of new tools.

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Google Gemini in Workspace: Best for Collaboration ($20/user/month)

Google Gemini integrates into Gmail, Docs, Sheets, Slides, and Meet with a focus on collaborative workflows. In Gmail, the Help Me Write feature drafts emails based on bullet points or conversational descriptions. In Docs, Gemini generates content, summarizes documents, and helps with research by pulling relevant information from the web and your Drive. In Sheets, it analyzes data, suggests formulas, and creates visualizations.

The standout feature is Gemini in Google Meet: real-time captions and translation in 18+ languages, post-meeting summaries sent automatically to participants, and the ability to catch up on a meeting in progress with an AI summary of what has been discussed so far. For globally distributed teams communicating across languages, the real-time translation integration is transformative.

Which One Is Right for You

For knowledge workers and teams using Notion: Notion AI provides the deepest integration with your existing knowledge base. For Microsoft-standardized enterprises: Copilot adds AI to every tool employees already use. For Google Workspace teams especially those distributed globally: Gemini provides the best collaborative AI features. The most honest advice: try the AI features in whatever platform you already use before switching platforms for AI capabilities. The best AI tool is the one embedded in your existing workflow.

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Disclosure: WikiWax may earn a commission from qualifying purchases through affiliate links on this page. This does not affect our editorial integrity or the price you pay.

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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); })();