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GEO, AEO and SEO guides

The concepts, technical settings and measurement methods you need for visibility in AI search — with sources and update dates. Every guide opens with a question and answers it in the first paragraph.

Written by: Vextoo Geo Agency Team · Last updated:

✳ Short answer

Where to start? Concepts: What is GEO? and AEO vs GEO vs LLMO; technical: AI crawlers and robots.txt and llms.txt; measurement: how to measure AI visibility. Terms: the GEO/AEO glossary.

  1. № 01What is GEO?What is GEO (Generative Engine Optimization), how does it work, how is it different from SEO, which engines does it cover and where should a brand start? Definition, examples and a step-by-step starter plan.8 min read
  2. № 02AEO vs GEO vs LLMO vs AI SEOWhat is AEO, GEO, LLMO, AI SEO and AIO? The differences and overlaps between AI search optimization terms — and which one matters for you — in one table.6 min read
  3. № 03GEO or SEO? Budget balanceHow should you split budget between GEO and SEO? Four scenarios based on your site’s condition, what to do first, and how the two disciplines reinforce each other in one plan.6 min read
  4. № 04How to measure AI visibilityHow to measure AI visibility: building a fixed question set, citation share, recommendation position, sentiment score, source coverage and AI-referred traffic. Common mistakes and a monthly report template.8 min read
  5. № 05What is llms.txt?What is llms.txt, who proposed it, what format does it use and does it actually work? What Google says about AI features, a sample llms.txt file and when it’s worth the effort.6 min read
  6. № 06AI crawlers and robots.txtCan AI bots reach your site? What GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, PerplexityBot, Google-Extended and Meta’s crawlers do, and how to manage them in robots.txt. Sample file.7 min read
  7. № 07Schema: introducing yourself to AIWhat structured data (schema.org, JSON-LD) does and doesn’t do for AI search: which schema types, a sample Organization snippet, common mistakes and validation tools.7 min read
  8. № 08Entity SEO and the knowledge graphWhat is an entity, how does the knowledge graph work, and how does AI “recognize” a brand? A practical checklist for name-address-service consistency, sameAs, directories and Wikidata.7 min read
  9. № 09Writing citable contentHow to write content for LLMs and AI engines: answer-first paragraphs, question headings, tables, sourced statistics, definition sentences and 6 common mistakes — with examples.7 min read
  10. № 10Measuring AI traffic in GA4How to measure traffic from ChatGPT, Perplexity, Claude, Copilot and Gemini in GA4: a ready regex for a custom channel group, report setup, what you can’t measure and tying it to conversions.6 min read
  11. № 11Visibility in the zero-click eraWhat is zero-click search, how many Google searches end without a click in 2026, what’s the impact of AI Overviews, and how do you earn and measure brand visibility when clicks don’t come?6 min read
  12. № 12How to choose a GEO agency12 questions to ask when choosing a GEO agency: measurement method, question set, guarantee claims, reporting, content and technical scope, account ownership. Red flags and a decision table.7 min read
  13. S.13GEO / AEO GlossaryGEO, AEO, LLMO, AI Overviews, citation share, grounding, RAG, query fan-out, entity, llms.txt, zero-click and more: short, clear definitions of AI search optimization terms.Glossary

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