Success

Decrypting Story Data...

Loading Title...

Author Name

@handle

Date • Read Time

Answer-first (AI friendly): Generative Engine Optimization (GEO) is the process of structuring content so that AI systems like ChatGPT and Google Gemini can understand, extract, and cite it directly in their answers. Why GEO matters Most users no longer click links. They read AI answers. If your content is not structured properly, it will never appear. Key strategies Answer first, explain later Use clear headings Add FAQs Keep sentences simple Final thought GEO is not replacing SEO—it is evolving it. 🤖 2. Why Most Websites Fail in AI Search Answer-first: Most websites fail in AI search because their content is written for humans only, not for machine understanding. Main problems Long introductions No clear answers No structure Too much fluff What AI prefers Direct answers Bullet points Logical sections Insight AI doesn’t “read like humans”—it scans and extracts. ⚡ 3. How AI Actually Reads Your Website Answer-first: AI reads websites by breaking queries into smaller parts and matching them with structured content blocks. Process Understand question Split into sub-questions Retrieve content Generate answer What helps Headings (H2, H3) Short paragraphs Keywords in natural language Conclusion If your content is messy, AI skips it. 📈 4. SEO vs GEO (Future of Content) Answer-first: SEO focuses on ranking in search engines, while GEO focuses on being selected by AI-generated answers. SEO Keywords Backlinks Rankings GEO Clarity Structure Answer quality Future The winner is not who ranks first, but who gets quoted. 🔥 5. How to Make Your Content Go Viral in AI Answer-first: Content goes viral in AI when it is easy to extract, trustworthy, and directly answers real user questions. Formula Start with answer Add explanation Include examples End with summary Bonus tips Keep sentences under 20 words Avoid jargon Use simple English

WeContact Hub

Author Name

@handle

Professional creating connections and sharing insights. View my full WeContact Hub for more.

### 2. `api/story.js` (Cleaned Backend Code) ```javascript import fs from 'fs'; import path from 'path'; export default async function handler(req, res) { const { id } = req.query; const filePath = path.join(process.cwd(), 'post.html'); let html; try { html = fs.readFileSync(filePath, 'utf8'); } catch (e) { return res.status(500).send("Error: Template post.html not found."); } if (!id) { res.setHeader('Content-Type', 'text/html'); return res.status(200).send(html); } const SUPABASE_URL = "[https://lczljksnkambwrtusapx.supabase.co](https://lczljksnkambwrtusapx.supabase.co)"; const SUPABASE_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Imxjemxqa3Nua2FtYndydHVzYXB4Iiwicm9sZSI6ImFub24iLCJpYXQiOjE3NjY2NTc3ODEsImV4cCI6MjA4MjIzMzc4MX0.bt2WTdTtTYu40NaC884tRIfec4ycZrEdeisQ0MoFCqM"; try { const sbRes = await fetch(`${SUPABASE_URL}/rest/v1/stories?id=eq.${id}&select=*`, { headers: { "apikey": SUPABASE_KEY, "Authorization": `Bearer ${SUPABASE_KEY}` } }); const storyData = await sbRes.json(); if (storyData && storyData.length > 0) { const story = storyData[0]; let authorName = "Networker"; let authorHandle = "user"; if (story.user_id) { const authorRes = await fetch(`${SUPABASE_URL}/rest/v1/profiles?id=eq.${story.user_id}&select=full_name,username`, { headers: { "apikey": SUPABASE_KEY, "Authorization": `Bearer ${SUPABASE_KEY}` } }); const authorData = await authorRes.json(); if (authorData && authorData.length > 0) { authorName = authorData[0].full_name || authorName; authorHandle = authorData[0].username || authorHandle; } } const cleanContent = story.content ? story.content.replace(/(<([^>]+)>)/gi, "") : ""; const shortDesc = cleanContent.substring(0, 150) + '...'; const imageUrl = story.image_url || "[https://wecontact.app/default-og.jpg](https://wecontact.app/default-og.jpg)"; const title = `${story.title} – WeContact`; const currentUrl = `https://wecontact.app/story/${id}`; html = html.replace(/.*?<\/title>/i, `<title>${title}`); html = html.replace(//i, ``); html = html.replace(//i, ``); html = html.replace(//i, ``); html = html.replace(//i, ``); html = html.replace(//i, ``); const schemaData = { "@context": "[https://schema.org](https://schema.org)", "@type": "Article", "headline": story.title, "image": imageUrl, "datePublished": story.created_at, "author": { "@type": "Person", "name": authorName, "url": `https://wecontact.app/${authorHandle}` }, "publisher": { "@type": "Organization", "name": "WeContact", "logo": { "@type": "ImageObject", "url": "[https://wecontact.app/logo.png](https://wecontact.app/logo.png)" } } }; const schemaScript = `\n`; html = html.replace(/<\/head>/i, schemaScript); // Injects text exactly where the itemprop tag is html = html.replace( /(

]*>)/i, `$1\n${story.content}` ); } res.setHeader('Content-Type', 'text/html'); return res.status(200).send(html); } catch (error) { console.error("Vercel Serverless Error:", error); res.setHeader('Content-Type', 'text/html'); return res.status(200).send(html); } }