Search Engine Optimization plus Generative Engine Optimization. Audit, optimize, and track how Google, ChatGPT, Perplexity, and AI Overviews represent your brand.
AI search engines reason over content, not just rank pages. GEO makes your content easy for generative engines to understand and cite, while SEO keeps your foundation strong in classic search.
Learn what ChatGPT and Perplexity actually look for when choosing sources, and how to structure content so you get cited — not just crawled.
AEO is the broader category: optimizing for any answer engine. Learn the overlap with GEO and what tactics carry over from traditional SEO.
A new convention for how AI crawlers read your site. Set it up right and make your content machine-readable for the agents that matter.
Paste a URL to audit, or ask an open-ended SEO/GEO question. The agent scopes the task before running.
The agent checks structured data, content clarity, citation-worthiness, llms.txt, and how well your content gets picked up by search and AI engines.
A structured report — not a checklist. You get the why, the priority, and example copy for each recommendation.
Re-run the audit after changes, or track how your mentions in Google, ChatGPT, and Perplexity evolve week over week.
SEO & GEO combines traditional Search Engine Optimization with Generative Engine Optimization. SEO helps you rank in classic search results; GEO helps AI answer engines like ChatGPT Search, Perplexity, and Google AI Overviews understand, retrieve, and cite your content.
GEO is the practice of making your content easy for generative answer engines to cite. The goal is to appear as a trusted source in generated answers, not only in a link list.
Traditional SEO optimizes for rankings and clicks. GEO optimizes for being selected as a source by an AI answer engine. Things that matter more: clear factual claims, clean structure, canonical answers, and external corroboration. Things that matter less: exact-match keyword density.
ChatGPT Search prefers sources that are clear, factual, well-structured, and widely corroborated. To optimize for AI search: publish canonical answers, use schema markup, have a clean robots.txt that allows GPTBot, and earn citations from other high-authority sources.
Perplexity rewards original, well-sourced content with clear citations. If your content itself cites primary sources cleanly, you're more likely to be cited back. Perplexity also respects content freshness more than ChatGPT does.
llms.txt is a proposed convention, similar in spirit to robots.txt, that tells LLM crawlers how to navigate and prioritize your content. It's a plain-text summary of your site optimized for machine consumption.
Yes. Most traffic still comes from Google's classic results. Treat GEO as an additional discipline, not a replacement. The good news: many GEO practices — clear structure, factual claims, strong citations — also help classic SEO.
AEO is a broader umbrella that covers any answer engine: Google's featured snippets, voice assistants, and AI chatbots. GEO is the AI-specific subset. Both overlap on structured content, schema markup, and canonical answers.
Practical guides on ranking in Google and getting cited by ChatGPT, Perplexity, and AI Overviews.
GEO optimizes for being cited in AI answers (ChatGPT, Perplexity, Google AI Overviews). SEO optimizes for ranking links in classic search. This guide explains the real difference, what changed with AI search, what carries over, and when to focus on each.
GEO (Generative Engine Optimization) is the practice of getting your content retrieved, quoted, and cited inside AI answers like ChatGPT, Google AI Overviews, and Gemini. This guide explains what GEO is, how AI engines pick their sources, why it matters now, and how it relates to SEO.
Content gap analysis finds the topics and questions your audience searches for that your site doesn't answer well — including the questions AI engines cite competitors for. This guide defines it and gives a practical step-by-step.
No, SEO isn't dead — but it changed. Classic search still drives the overwhelming majority of website traffic, while AI answers add real zero-click pressure. This data-backed guide shows what changed, what still works, and what to do now.
Answer engine optimization (AEO) is the practice of optimizing your content to be the answer that answer engines surface — featured snippets, voice assistants, and AI chatbots like ChatGPT. This guide defines AEO, explains how it relates to SEO and GEO, and gives concrete tactics.
llms.txt is a proposed plain-text convention — robots.txt-style — that points AI/LLM crawlers to your most important content in clean Markdown. This guide explains what llms.txt is, how it works, how to create one (with a copyable example), whether AI engines actually use it, and how it differs from robots.txt.
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