Learn AI Visibility, GEO & AEO
Concise, practical guides for founders, marketers, SEO teams, and agencies working on AI visibility.
What Is GEO? A Complete Guide to Generative Engine Optimization
Generative Engine Optimization (GEO) is the practice of optimizing brands, content, entities, and technical infrastructure so they are surfaced, cited, and recommended inside generative AI answer engines like ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews. Unlike SEO, which competes for ranked links, GEO competes for inclusion inside a single synthesized answer.
What Is AEO? Answer Engine Optimization Explained
Answer Engine Optimization (AEO) is the practice of formatting, structuring, and marking up content so it can be extracted verbatim by answer engines - from Google featured snippets and People Also Ask boxes to LLM responses in ChatGPT, Perplexity, Gemini, and Copilot. AEO focuses on being the answer, not just ranking near it.
GEO vs SEO: The Complete Comparison
SEO optimizes web pages to rank in traditional search engine results. GEO optimizes brands and content to be cited inside AI-generated answers. They share technical fundamentals but diverge sharply in success metrics, content patterns, off-site strategy, and measurement.
What Is AI Visibility? Definition, Metrics, and How to Measure It
AI visibility is the measurable presence of a brand inside AI-generated answers across ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews. It is measured through prompt coverage, mention share, citation share, and sentiment across a defined prompt set representative of buyer intent.
What Is LLM SEO? A Practical Guide
LLM SEO is the practice of optimizing website structure, content, brand authority, entity signals, and external mentions so large language models retrieve, cite, and recommend your brand. It overlaps heavily with GEO and AEO and shares SEO's technical foundations.
How to Track ChatGPT Visibility: A Step-by-Step Guide
Track ChatGPT visibility by defining a representative prompt set, sampling regularly, tagging brand and competitor mentions, and calculating share of voice over time. Serious programs automate this with dedicated tools; smaller teams can run monthly manual audits.
How to Get Cited in Perplexity: The Complete Playbook
Perplexity cites sources that are crawlable, well-structured, freshly indexed, and authoritative on the query topic. Getting cited requires strong technical SEO, answer-first content, and mentions across sources Perplexity trusts.
How to Choose a GEO Tool: A Buyer's Guide
Choose a GEO tool by matching AI engine coverage, prompt tracking depth, competitor benchmarking, reporting quality, integrations, and pricing to your team size and reporting cadence. Beware of tools that track only one engine or rely on scraped, unstable data.
When to Hire a GEO Agency: Signals, Scope, and Selection
Hire a GEO agency when you need execution across strategy, content, technical fixes, digital PR, and community authority - and don't have an in-house team that can move on all fronts. Agencies excel at compounding programs; consultants excel at strategy and audits.
How to Structure Content for AI Search
Structure content for AI search with clear H1/H2/H3 hierarchies, answer-first paragraphs, entity clarity, scannable lists, comparison tables, and machine-readable structured data. LLMs extract cleanly from pages that are semantically obvious and answer-forward.
How to Make Your Website LLM-Friendly: A Technical Checklist
Make your website LLM-friendly by server-rendering key pages, using semantic HTML, adding JSON-LD structured data, publishing an /llms.txt file, allowing AI crawlers in robots.txt, and ensuring fast, stable, canonical URLs. LLMs cannot cite what they cannot cleanly crawl and extract.