I analyzed where AI actually gets its data from. The results surprised me. Semrush studied 150K AI citations in June 2025. Here's what they found: Reddit: 40.11% Wikipedia: 26.33% YouTube: 23.52% Google: 23.28% Yelp: 21.01% Facebook: 19.96% Amazon: 18.72% LinkedIn? Only 5.90%. This changes everything about #ContentStrategy. Most brands are still playing the old game. Build a website. Write blog posts. Hope Google ranks them. But #AI doesn't care about your rankings. It learns from conversations on Reddit. Community discussions. YouTube transcripts. Reviews. Real human opinions. When someone asks ChatGPT or Perplexity about your industry, where does the answer come from? If you're only focusing on #SEO, you're optimizing for 23% of AI's learning sources. The other 77% is happening in places you're probably ignoring. The brands winning in #GEO aren't just creating content. They're creating presence everywhere AI looks. That means: → Contributing to Reddit discussions authentically → Building...

SEO is dead. Long live GEO. Traditional SEO optimized for isolated pages and keyword matching. GEO optimizes for AI memory and entity recall. Here's the difference: Traditional SEO: - Isolated pages - Keyword matching - Linear ranking GEO Strategy: - Connected clusters - Context-rich content - Entity reinforcement The new playbook has 4 cluster types: 1. Use-Case Clusters High semantic density. Show how your product solves real problems. 2. Comparison Clusters Deep context. Position against alternatives. LLMs love comparisons. 3. Feature Clusters Reinforce entity signals. Make your capabilities memorable. 4. Problem Clusters Entity reinforcement. Own the problem space in AI memory. The goal? High recall probability. When ChatGPT, Perplexity, or Gemini synthesizes an answer, your brand needs to be retrievable. LLMs favor connected context over isolated keywords. If your content exists in silos, you're invisible to AI. Build clusters. Strengthen entity signals. Engineer recall. That's GEO.

Your brand is invisible to AI. Here's how to fix it in 2026. I analyzed 847 ChatGPT citations to figure out what actually gets recommended. The result? This 6-pillar AI SEO checklist. **1. Brand Presence & Mentions** Audit where your brand appears in LLMs. Get listed in top queries and roundups. Earn mentions on high-authority platforms. Build profiles on credible directories. **2. Entity & Authority Signals** Create or update your Wikipedia/Wikidata page. Build a Google Knowledge Panel. Add author bios and credentials. Publish original research and case studies. **3. Content Optimization** Write answer-first content that's short and direct. Use Q&A formats with clear subheadings. Add structured data (schema markup). Regularly refresh and fact-check key content. **4. Conversation & Community** Identify common questions using tools like GSC and Semrush. Answer sub-questions and FAQs proactively. Internally link related content. Contribute authentically to community discussions. **5. Technical & Crawlability** Allow AI crawlers in...

71.7% of newly published content is created with AI. But only 2.5% is pure AI. Here's the breakdown: Pure Human (0% AI): 25.8% Minimal AI use (1-10%): 9.87% Substantial AI use (11-70%): 46.36% Dominant AI use (71-99%): 15.51% Pure AI (100%): 2.5% The insight that matters: Almost nobody publishes pure AI content. The winning formula is Human + AI. 46% of content uses AI substantially but keeps human oversight. This tells us something important about LLM trust: If you want AI to recommend your brand, don't be in the 2.5%. Be in the 46%. Use AI to scale your expertise. Not to replace it. Use AI to amplify your ideas. Not to generate them. Use AI to polish your insights. Not to create them. The brands LLMs trust are the ones creating original value. Then using AI to make it better. Not the other way around. Source: Ahrefs study, April...

2025 so far with ChatGPT 30k+ messages sent Top 1 percent of users 160 images made Big year. Still going 🚀