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What Is GEO (Generative Engine Optimisation)? A Plain-English Guide for Business Owners

Ranketry TeamMarch 1, 20268 min read
GEOAI SearchLocal Business

Key Takeaways

Generative Engine Optimisation (GEO) is the practice of improving a business website so that AI search engines can discover, understand, and recommend it. This guide explains what GEO is, why it matters, and how it differs from traditional SEO.

What Is GEO?

Generative Engine Optimisation (GEO) is the practice of improving a business website so that AI search engines — including ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini — can discover, understand, and recommend it. GEO differs from traditional SEO in that AI search engines summarise answers directly rather than presenting a list of blue links.

According to SparkToro research, AI-referred web traffic grew by 527% between January and May 2025. Gartner projects that traditional search engine traffic will decline by 50% by 2028 as users shift to AI-powered assistants for discovery.

How GEO Differs from Traditional SEO

Traditional SEO focuses on ranking in search engine results pages (SERPs) — the familiar list of blue links that Google has served for over two decades. Success is measured by keyword rankings, click-through rates, and organic traffic from search results.

GEO focuses on a fundamentally different surface: AI-generated summaries and recommendations. When a user asks ChatGPT "What's the best plumber near me?" or queries Perplexity for "dentist recommendations in Chicago", the AI does not present a list of links. It provides a direct answer, often citing specific businesses.

AspectTraditional SEOGEO
Success metricKeyword rankingsAI citations
Key signalsBacklinks, content relevanceSchema markup, citability, brand authority
Content formatKeyword-optimised pagesSelf-contained answer blocks

The Three Pillars of GEO

AI search engines rank businesses primarily on three signals:

1. Entity Recognition — This is how well the AI can identify what your business is and does. Entity recognition depends almost entirely on structured data (JSON-LD schema markup). A business without Organisation, Product, or FAQPage schema is effectively invisible to AI entity graphs.

2. Citability — This measures how easily the AI can extract specific, factual answers from your website. Research from Princeton, Georgia Tech, and IIT Delhi (2024) found that content blocks between 134 and 167 words long, written with a direct answer in the first sentence, achieve 30 to 115 percent higher AI citation rates.

3. Brand Authority — This reflects how often your business is mentioned across trusted platforms. AI models use mentions on YouTube, Reddit, LinkedIn, and Wikipedia to decide which businesses to trust and recommend.

Key Takeaways

  • GEO is different from SEO — it targets AI summaries, not blue links
  • AI-referred traffic converts at 4.4× the rate of traditional organic traffic
  • Structured data (schema markup) is essential for AI visibility
  • Content must be formatted for citability — self-contained, fact-rich blocks
  • Brand mentions matter more than backlinks for AI discovery
  • Most local business websites score below 40/100 on AI citability measures
  • How to Get Started with GEO

    The first step is understanding where your website currently stands. A GEO Revenue Report analyses your site across six dimensions — structured data, citability, technical foundations, brand authority, platform optimisation, and content quality — and provides prioritised recommendations with revenue impact estimates.

    Unlike generic SEO audits, a GEO Revenue Report is written in business language with clear next steps you can action immediately or hand to a developer.

    Ready to improve your AI search visibility?

    Get a personalised GEO Revenue Report for your business.

    Last updated: March 22, 2026