For 20 years, the rules of writing content for the web were the same. Pack keywords into headlines. Use H2 and H3 tags strategically. Hit specific word counts. Internal-link everything. Optimise for the Google crawler so the crawler ranks you. That formula still works for Google rankings in 2026 . It produces almost nothing for ChatGPT, Perplexity, Gemini and Claude. The Large Language Models that increasingly answer buyer questions directly read content fundamentally differently from the Googlebot. If your content marketing budget is going to “SEO content” written for search bots, you’re optimising for a shrinking surface. The buyers using LLMs to research businesses are reading content the bots ignore and ignoring content the bots love. This guide explains how LLMs actually read content, why traditional SEO writing fails on AI surfaces, and the structured approach to writing content that wins on both surfaces simultaneously. How LLMs Read Content Differently From Google’s Crawler G...
Half the local SEO industry is convinced AI search engines will kill local SEO entirely. Buyers will stop using Google Maps. ChatGPT will recommend the local plumber. Perplexity will book the dentist appointment. The Map Pack will become a museum exhibit. The other half thinks nothing will really change. Local SEO has survived voice search, mobile-first indexing, the Vicinity update, the Helpful Content update, and a decade of “this is the end of local search” predictions. It’ll survive AI too. Both halves are partially right and mostly wrong. AI won’t kill local SEO. It will fracture the way local discovery works in 2026 and 2027 in ways that most SMEs aren’t ready for. The businesses that adapt early will own their categories. The ones who don’t will spend years wondering what changed. This guide explains what’s actually happening, what it means for SMEs, and the concrete moves to make this quarter before the fracture widens. What’s Actually Changing In Local Discovery Three forces ...