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 umbrella discipline of earning mentions and citations inside AI answers from ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews. AEO and LLM SEO are its sub-lenses. Here is what the research shows and a practical workflow to start.
What Is AEO? Answer Engine Optimization Explained
Answer engine optimization (AEO) explained through mechanics: how Google AI Overviews, AI Mode, Copilot, and Perplexity select sources, what citation studies reveal about search-ranking overlap, and how to structure passages that win the direct answer for informational and commercial queries.
GEO vs SEO: The Complete Comparison
SEO competes for rank in a list of links; GEO competes for citations inside AI answers. The data says overlap is the story: Perplexity cites a Google top-ten domain in 91% of cases, ChatGPT only 31.8% — so the real question is how much work beyond ranking each engine demands.
What Is AI Visibility? Definition, Metrics, and How to Measure It
AI visibility is the measurable presence of a brand in AI-generated answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews. This guide formalizes four core metrics — share of voice, citation rate, sentiment, and branded-search lift — with formulas, a worked example, and benchmark data from studies of 25M+ links and 150,000 citations.
What Is LLM SEO? A Practical Guide
LLM SEO is the practice of optimizing how large language models retrieve and recall your brand: training-data recall versus live retrieval, engine-specific citation sources, conversation-depth decay, and entity consistency — grounded in Muck Rack, Profound, Semrush, and Ahrefs citation data.
How to Track ChatGPT Visibility: A Step-by-Step Guide
Track ChatGPT visibility by defining 30-100 buyer prompts, sampling each several times per run, tagging brand and competitor mentions, and calculating share of voice. Includes a fully worked SoV example, guidance on response variance, and where Google Search Console's new AI reports fit in.
How to Get Cited in Perplexity: The Complete Playbook
Perplexity is the most search-dependent AI engine — Semrush found 91% of its citations come from Google top-ten domains and 82% from the exact ranking URL. Learn how to rank first, answer in the opening passage, and earn the community presence behind 19% of Perplexity citations.
How to Choose a GEO Tool: A Buyer's Guide
A price-anchored decision path for GEO tools: published plans span Rankscale $20, Otterly $29, HubSpot AEO $45-50, Peec $95, Profound $99 (ChatGPT-only Starter), Trakkr $100, Similarweb $99-129, AthenaHQ $295, and Evertune $800 — plus the engine-gating traps to check before you buy.
AI Visibility Tool vs Agency vs Consultant: Which Do You Need?
The AI-visibility solution you need depends on one thing: who will act on the work. A tool gives you data, an agency gives you execution, a consultant gives you a plan your own team runs. This guide walks the three procurement decisions — tool vs agency, agency vs consultant, and AI-visibility agency vs traditional SEO agency — with real price anchors and a decision framework.
When to Hire a GEO Agency: Signals, Scope, and Selection
Hire a GEO agency when you need cross-channel execution — content, digital PR, technical, community — beyond in-house capacity. Verified anchors run from $699 audits and $999-2,499/mo plans to $5,000 minimum projects, with third-party reports describing ~$10K/mo retainers and a $150K enterprise tier.
How to Structure Content for AI Search
Structure content for AI search with answer-first blocks, dated plain-text statistics, and scannable formatting — the traits Ahrefs observed on a cited page it analyzed — plus question-phrased headings. Includes a before/after rewrite example and Google's official caveat that no special AI files or schema are required for its AI surfaces.
How to Make Your Website LLM-Friendly: A Technical Checklist
Make your website LLM-friendly by server-rendering key pages, using semantic HTML and JSON-LD, allowing AI crawlers like GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot in robots.txt, and keeping URLs fast, canonical, and stable. Includes copy-paste robots.txt and llms.txt examples.