If you've been following digital marketing in 2025, you've probably seen the term GEO — Generative Engine Optimisation — appearing everywhere. Some people treat it as entirely new. Others dismiss it as rebranded SEO. The reality is somewhere in between, and the distinction matters for how you allocate time and budget.
What GEO Actually Means
Generative Engine Optimisation is the practice of structuring your online presence so that AI-powered search engines — ChatGPT, Perplexity, Google's AI Overviews, Gemini — can understand, trust, and recommend your business.
Traditional SEO optimises for ranked lists of blue links. GEO optimises for AI-generated answers. When someone asks Perplexity "What's the best accountancy firm in Manchester for small businesses?" — the answer is generated, not retrieved. It's synthesised from multiple sources, and the signals that determine which businesses get mentioned are different from the signals that determine Google rankings.
Where GEO and SEO Overlap
A lot. Good content is good content regardless of who or what is reading it. Specifically:
- Content quality — well-written, comprehensive, accurate content helps everywhere
- Technical fundamentals — fast loading, mobile-friendly, clean HTML structure
- Authority signals — backlinks, domain age, and brand mentions still matter
- Freshness — recently updated content is preferred by both traditional and AI search
If you're doing SEO well, you're not starting from zero with GEO. But you're probably leaving significant gaps.
Where GEO Diverges from SEO
This is where it gets interesting — and where most businesses are currently exposed.
Structured Data Becomes Critical, Not Optional
In traditional SEO, schema markup helps with rich snippets — those star ratings and FAQ dropdowns in search results. Useful, but not essential for ranking.
In GEO, structured data is how AI systems understand what your business is. Without JSON-LD schema markup, an AI model is guessing based on unstructured text. With it, the AI knows your business name, location, services, products, reviews, and FAQs as explicit facts. The difference in recommendation rates is substantial.
AI Crawler Access Is a New Factor
Traditional search crawlers (Googlebot, Bingbot) have been around for decades and almost nobody blocks them. AI crawlers — GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot — are newer, and many websites block them either intentionally or accidentally through overzealous security settings.
If an AI crawler can't access your site, you don't exist in that AI's knowledge. This is a GEO-specific concern that has no traditional SEO equivalent.
Conversational Content Structure
Traditional SEO rewards keyword-optimised headings, meta descriptions, and body copy. GEO rewards content that directly answers questions in natural language.
The distinction is subtle but important. An SEO-optimised heading might be "Premium Accounting Services Manchester" — keyword-dense and clear. A GEO-optimised approach would also include content that says "We help small businesses in Manchester with tax planning, annual accounts, and VAT returns, starting from £150 per month" — because that's the kind of sentence an AI can extract and include in a generated answer.
Review Signals Are Weighted Differently
In traditional SEO, reviews help with local pack rankings and click-through rates. In GEO, structured review data is one of the strongest trust signals. AI models use aggregated review data to determine which businesses to recommend — and they can distinguish between genuine reviews and thin or incentivised ones.
Having 200 Google reviews with a 4.7 average, marked up in schema, gives an AI system concrete quantitative evidence to cite when recommending you.
LLMs.txt Is GEO-Only
The llms.txt file convention — a structured text file at your domain root specifically for AI systems — has no SEO equivalent. It's a pure GEO signal that gives AI models a curated summary of your business. We've written a detailed guide on this.
The Business Case: Why GEO Matters Now
Gartner predicts traditional search volume will drop 25% by 2026 as users shift to AI assistants. That's not a distant future projection — it's happening now. When we test client visibility across ChatGPT, Perplexity, and Gemini, we consistently see that businesses with structured data and AI-friendly architecture get recommended, and businesses without it don't — regardless of their Google rankings.
We've worked with clients who rank on page one of Google for their target keywords but get zero mentions from AI search engines. The ranking factors are genuinely different.
What Should You Do?
If you're already doing SEO, you need to add these GEO-specific layers:
- Audit your AI crawler access — check
robots.txtfor GPTBot, ClaudeBot, PerplexityBot, and GoogleOther - Implement comprehensive schema markup — not just basic Organization, but Product, Service, FAQPage, and Review types
- Create an llms.txt file — structured business summary for AI consumption
- Restructure content for questions — make sure your key pages directly answer the questions customers ask
- Monitor AI mentions — test whether ChatGPT, Perplexity, and Gemini actually recommend you
You don't need to choose between SEO and GEO — they're complementary. But if you're only doing SEO in 2025, you're optimising for a channel that's shrinking while ignoring the one that's growing.
Run a free audit to see your current AI visibility score across all 26 factors — it takes 30 seconds and shows you exactly where the gaps are.