What Is Generative Engine Optimisation?
Generative Engine Optimisation (GEO) is the practice of optimising your brand's digital presence so that AI-powered platforms – such as ChatGPT, Perplexity, Google Gemini, and Claude – accurately reference, recommend, and cite your business when users ask relevant questions.
If traditional SEO is about ranking on a search engine results page, GEO is about being the answer inside a conversational AI response. The distinction matters more with every passing quarter. According to Gartner, traditional search traffic is projected to drop by 25% by 2026 as consumers shift to AI-powered alternatives. Meanwhile, ChatGPT alone surpassed 300 million weekly active users in early 2025, and Perplexity processes millions of queries every day.
For brands that rely on organic visibility, ignoring GEO is no longer an option. This guide explains exactly what GEO involves, how it differs from traditional SEO, which platforms matter, and the practical steps you can take to get started.
How GEO Differs from Traditional SEO
Traditional SEO optimises content so that search engines like Google index it and display it in a ranked list of links. Users click through to your website, and success is measured by rankings, click-through rates, and organic traffic.
GEO operates in a fundamentally different environment. When a user asks ChatGPT "What's the best marketing agency in Liverpool?" or asks Perplexity "Which tools help with technical SEO?", the AI doesn't return a list of ten blue links. It synthesises information from multiple sources and delivers a direct, conversational answer – often citing specific brands, products, or resources inline.
The key differences include:
- Output format: SEO targets ranked links. GEO targets inline citations, brand mentions, and recommendations within AI-generated prose.
- Ranking signals: SEO relies on backlinks, keyword relevance, and technical factors. GEO depends on brand authority, factual consistency, structured data, and content clarity.
- User journey: In traditional search, users visit your site. In AI search, the AI may answer the user's question without a click – so being cited within that answer becomes your visibility.
- Measurement: SEO metrics are well-established (rankings, traffic, conversions). GEO metrics are emerging – brand mention tracking, citation frequency, and share of voice in AI responses.
This doesn't mean SEO is dead. Far from it. But a strategy that only accounts for traditional search is increasingly incomplete. Learn more about how the two disciplines work together on our SEO services and Generative Engine Optimisation pages.
The AI Platforms That Matter
GEO is not a single-platform discipline. Several AI systems now serve as de facto search engines, and each has its own approach to sourcing, synthesising, and presenting information.
ChatGPT (OpenAI)
ChatGPT is the most widely used large language model, with hundreds of millions of users worldwide. Since the rollout of ChatGPT Search, it can browse the web in real time and provide cited answers. OpenAI uses two primary crawlers: GPTBot, which gathers data for model training, and OAI-SearchBot, which retrieves content for live search queries. Understanding the difference between these two crawlers is essential for any GEO strategy.
Perplexity AI
Perplexity has positioned itself as an "answer engine" – a search tool built from the ground up around AI-generated, citation-rich responses. Every answer it produces includes numbered source citations, making it one of the most transparent AI search platforms. Its crawler, PerplexityBot, actively indexes web content to power these responses.
Google Gemini and AI Overviews
Google's AI Overviews (previously known as the Search Generative Experience) appear directly within Google search results, providing AI-generated summaries above traditional organic listings. Given Google's dominant market share, this is arguably the highest-impact GEO opportunity. Gemini, Google's multimodal AI, powers these overviews and draws from Google's existing index alongside additional ranking signals.
Claude (Anthropic)
Claude, developed by Anthropic, is used by millions of professionals and is increasingly integrated into business workflows. Its crawler, ClaudeBot, indexes web content, and Claude's responses often reflect information gathered from authoritative, well-structured sources.
Other Platforms
Meta AI, Microsoft Copilot (powered by Bing's index and OpenAI models), and various vertical-specific AI tools also contribute to the GEO landscape. The common thread: they all rely on some combination of pre-trained knowledge and real-time web retrieval.
Training vs Retrieval: A Critical Distinction
One of the most important concepts in GEO is the difference between training data and retrieval data.
Training Data
Large language models are trained on vast datasets – billions of web pages, books, articles, and other text. This training happens periodically, not in real time. When an AI answers a question based on its training data, it's drawing on a snapshot of the web from months or even years ago. You cannot directly control whether your content is included in training data, but you can influence it by ensuring your content is widely published, frequently cited by others, and factually consistent across sources.
Retrieval Data (Live Search)
Many AI platforms now supplement their training with real-time web retrieval. ChatGPT Search, Perplexity, and Google AI Overviews all crawl the web at query time to provide current, accurate answers. This is where GEO has the most immediate, actionable impact. By optimising your content for discoverability and clarity, you increase the likelihood that AI retrieval systems will find, extract, and cite your content in their responses.
The practical implication is straightforward: you need to manage both channels. Allow retrieval crawlers to access your content while making informed decisions about training crawlers. Our Answer Engine Optimisation service helps businesses navigate this distinction effectively.
What Makes Content "GEO-Friendly"?
AI systems are not magic. They follow patterns, and those patterns reward certain types of content. Based on our research and client work, these are the characteristics that consistently correlate with higher AI citation rates:
1. Factual Precision and Specificity
AI models favour content that makes clear, specific, verifiable claims. Vague marketing copy ("We're the best in the business") is far less likely to be cited than precise, data-backed statements ("Our client's organic traffic increased by 147% over six months following a technical SEO audit"). Include statistics, dates, named sources, and concrete examples wherever possible.
2. Clear Topical Structure
Content that is well-organised with descriptive headings, logical sections, and clear topic boundaries is easier for AI systems to parse and extract. Use H2 and H3 headings that directly address questions your audience is asking. Think of each section as a self-contained answer to a potential query.
3. Entity Clarity
AI models understand the world through entities – people, places, organisations, products, concepts. Ensure your brand is presented as a clearly defined entity with consistent naming, descriptions, and attributes across your website, social profiles, and third-party references. This consistency helps AI systems build a reliable "knowledge graph" entry for your brand.
4. Authoritative Sourcing
Content that references credible sources, includes expert quotes, and demonstrates genuine expertise is weighted more heavily by AI systems. This aligns closely with Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) but extends beyond Google to all AI platforms.
5. Structured Data and Schema Markup
Structured data helps AI systems understand the context and meaning of your content. Implementing schema markup – such as Organisation, Article, FAQ, Product, and HowTo schemas – provides machine-readable signals that make your content more accessible to AI crawlers and more likely to be cited accurately.
6. Multi-Source Consistency
AI models cross-reference multiple sources when generating answers. If your brand information is consistent across your website, Google Business Profile, industry directories, press coverage, and social media, the AI is more likely to trust and cite that information. Inconsistencies – different addresses, conflicting descriptions, outdated facts – erode trust.
Practical Steps to Get Started with GEO
GEO can feel abstract, but the implementation is concrete. Here is a practical framework for businesses beginning their GEO journey:
Step 1: Audit Your Current AI Visibility
Start by querying the major AI platforms with questions relevant to your business. Ask ChatGPT, Perplexity, Gemini, and Claude about your industry, your competitors, and your specific brand. Document whether you appear in responses, how accurately you're described, and which competitors are being cited instead.
Step 2: Review Your Crawler Access
Check your robots.txt file. Are you inadvertently blocking AI crawlers? Many businesses block GPTBot, ClaudeBot, or PerplexityBot without realising the impact on their AI visibility. Consider a nuanced approach: allow search/retrieval crawlers while making deliberate decisions about training crawlers.
Step 3: Optimise Your Core Content
Identify the pages most relevant to the questions your audience is asking AI platforms. Update these pages with clear, factual, well-structured content that directly answers likely queries. Add structured data markup where appropriate.
Step 4: Build Brand Authority Signals
Invest in activities that build your brand's authority across the web: earn mentions in reputable publications, maintain consistent directory listings, encourage genuine reviews, and produce original research or thought leadership that others will reference.
Step 5: Monitor and Iterate
GEO is not a one-time project. AI platforms evolve rapidly, and your competitors are adapting too. Establish a regular monitoring cadence – track your AI mentions, test new queries, and refine your content based on what you observe.
The Future of Search Is Conversational
The shift toward AI-powered search is not a trend – it is a structural change in how people find information, evaluate options, and make decisions. Businesses that adapt early will have a significant advantage. Those that wait risk becoming invisible in the fastest-growing search channels.
GEO is not about gaming AI systems. It is about ensuring that your brand's genuine expertise, products, and value are accurately represented in the places where your audience is increasingly looking for answers.
At Dynamically, Generative Engine Optimisation is our flagship service because we believe it represents the most significant shift in digital marketing since the advent of search engines themselves. We help businesses across the UK and beyond build AI visibility strategies that are grounded in data, technically sound, and built for the long term.
Ready to make your brand visible in AI search? Get in touch to discuss how GEO can work for your business.