The latest articles on DEV Community by Anoop krishna VA (@anoop_krishnava_46e07af8). https://dev.to/anoop_krishnava_46e07af8 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4062284%2F855db638-5783-463b-99d9-4cbd82288c2f.jpg https://dev.to/anoop_krishnava_46e07af8 en Anoop krishna VA Tue, 04 Aug 2026 21:06:57 +0000 https://dev.to/anoop_krishnava_46e07af8/seo-aeo-geo-a-technical-breakdown-for-developers-building-for-search-and-ai-answers-2f3d https://dev.to/anoop_krishnava_46e07af8/seo-aeo-geo-a-technical-breakdown-for-developers-building-for-search-and-ai-answers-2f3d <p>I'm a brand strategist, not a developer — but every campaign I run eventually turns into a conversation with someone's engineering team. Over the past year, that conversation has shifted. It used to be about meta tags and sitemaps. Now it's about whether a site is even readable by the models powering AI answers. Here's the technical breakdown I actually walk dev teams through.</p> <h2> SEO (Search Engine Optimization) </h2> <p>This is the one most engineers already know. Crawlable HTML, clean URL structure, fast Core Web Vitals, valid schema.org markup, an accurate sitemap.xml and robots.txt. The mechanics haven't changed much — what's changed is how much weight structured data carries now, because it's the same markup that AEO and GEO systems lean on.</p> <h2> AEO (Answer Engine Optimization) </h2> <p>This is about formatting content so it can be lifted directly into a featured snippet or a voice/chat answer. Practically, that means: a direct, self-contained answer to the implied question within the first 1-2 sentences of a section, genuine FAQ schema (<code>FAQPage</code> in JSON-LD, not just visually-styled accordions), and heading structure that maps to actual questions people ask, not just keyword strings. If a section can't be understood correctly when read on its own, out of context, it won't get picked up.</p> <h2> GEO (Generative Engine Optimization) </h2> <p>This is the newest layer, and it's aimed at large language models rather than traditional crawlers — think AI Overviews, Perplexity, ChatGPT's browsing mode. A few things I've seen actually move the needle here: an <code>llms.txt</code> file at the root (still informal, not a ratified standard, but increasingly respected), consistent factual claims about an entity across every page and every third-party mention (NAP consistency isn't just a local-SEO thing anymore, it's an entity-recognition thing), and content that states things plainly rather than burying them in marketing language — generative models tend to extract and cite the most unambiguous sentence in a block, so ambiguity is what gets you skipped.</p> <h2> Where they overlap </h2> <p>The overlap between all three is bigger than most teams assume: clean semantic HTML, structured data, and unambiguous writing serve all three systems at once. The place I most often see teams over-invest is chasing GEO-specific hacks while their basic schema markup is still broken. Fix the foundation first.</p> <p>Curious how other developers here are handling <code>llms.txt</code> and structured data for AI-crawler visibility — is anyone treating this as a standard part of a build now, or still experimental?</p> seo webdev ai