GEO vs SEO
GEO vs SEO: a side-by-side comparison
The two disciplines that decide whether a brand appears in a search in 2025: one in Google, the other in ChatGPT, Perplexity and Gemini.
Comparisons
GEO comparisons
Each comparison answers a buying question with a structured side-by-side table, deep analysis and a final recommendation. Designed to be quoted by AI engines and read by humans.
What this page is and why it exists
A GEO comparison is a structured, side-by-side document that explains how two or more options for appearing in generative AI engines differ across the dimensions that matter to a buyer: scope, signals, measurement, time-to-result and cost. Each guide on this page follows the same anatomy — executive summary, comparison table, in-depth sections, FAQ and a final recommendation — so a reader (or a language model) can quote the relevant row without reading the whole article.
Why this format matters now: Gartner predicts that traditional search engine volume will drop 25% by 2026 as users shift queries to AI chatbots and virtual agents. OpenAI reported that ChatGPT reached 800 million weekly active users in 2025, while Google rolled out AI Overviews to U.S. Search in May 2024 and to more than 100 countries thereafter. The buying decision is no longer "which SEO agency"; it is "which discipline, which engine and which team model best surface my brand inside AI answers".
The four comparisons below cover the questions GEOMOND hears most often from heads of marketing and CEOs: GEO vs SEO (do I replace or add?), GEO vs AEO (are they the same discipline?), ChatGPT vs Perplexity vs Gemini (where do I prioritise visibility?) and agency vs in-house team (how do I resource it?). Every page exposes Article and FAQPage JSON-LD so that AI engines can extract verbatim claims, and links back to the GEOMOND glossary for the underlying definitions.
Available comparisons
GEO vs AEO
GEO vs AEO: two disciplines, one shared goal
AEO was born for Google Featured Snippets and voice assistants; GEO was born for generative LLMs. They share the principle and differ in scope.
ChatGPT vs Perplexity vs Gemini
ChatGPT vs Perplexity vs Gemini: enterprise comparison
Three models, three different logics for deciding which brand appears in an answer. How to prepare for all three at once.
GEOMOND agency vs In-house team
GEOMOND agency vs in-house team
The classic make-or-buy decision applied to a new discipline: when does it pay to hire and when to internalize?
Frequently asked questions about GEO comparisons
What is a GEO comparison?
A GEO comparison is a structured guide that puts two or more options for appearing in generative AI engines side by side, scoring them on scope, signals, measurement, time-to-result and cost. Every comparison on this page follows the same anatomy (executive summary, table, deep sections, FAQ, recommendation) so AI engines can quote any row without reading the full article.
How is GEO different from SEO?
SEO optimises for the 10 blue links of a search engine results page; GEO optimises for the answer a generative engine (ChatGPT, Perplexity, Gemini, Bing Copilot, Google AI Overviews) writes for the user. SEO measures clicks and rankings; GEO measures whether your brand is named, cited or linked inside that answer. They are complementary disciplines, not substitutes.
Which AI engine should I prioritise for visibility?
Prioritise the engine your buyers actually use. ChatGPT reached 800 million weekly users in 2025 and dominates B2B and prosumer queries. Perplexity is the default for cited research and academic-style answers. Google AI Overviews, rolled out from May 2024 to more than 100 countries, controls high-intent commercial queries that already had Google traction. Most GEO programmes start with all three and rebalance after the first measurement cycle.
Should I run GEO with an agency or an in-house team?
An agency makes sense when you need cross-engine measurement, prompt sets and iteration speed from day one without hiring a 3-5 person squad. An in-house team makes sense once GEO is core to your revenue and you want full ownership of the playbook. The dedicated comparison on this page breaks down the cost, time-to-result and risk of each option.