GEO (Generative Engine Optimisation) is the practice of optimising your website and content so that AI systems — ChatGPT, Google AI Overviews, and Perplexity — cite your business in their generated answers.
It is not SEO. It requires different techniques, different content structures, and a fundamentally different way of thinking about how customers find you. And in 2026, for any business that relies on local discovery, it is no longer optional.
The shift from click economy to citation economy
For the past twenty years, getting found online meant one thing: rank on page one of Google, earn the click, generate the lead. The entire discipline of SEO was built around this mechanic.
That mechanic is breaking down.
Today, 60% of searches end without a single click to any website — because an AI-generated answer appears at the top of the page and answers the question directly. When someone asks Google "best accountant in High Wycombe," an AI Overview may appear before any organic results — recommending specific businesses, summarising their strengths, and giving the user everything they need to make a decision without ever visiting a website.
ChatGPT handles over 100 million daily active users. Perplexity is gaining significant market share as a default search replacement for younger professionals. In this environment, the question is no longer whether you rank — it's whether you're cited.
"Being on page one of Google is no longer enough. You need to be in the answer."
GEO vs SEO — what actually differs
The distinction matters because the techniques are different. Getting a page to rank in Google and getting a page cited by an AI model are two separate problems.
- Optimise for search crawler bots
- Target keyword density and backlink volume
- Compete for ranked positions in a results list
- Success = click-through rate from results page
- Content volume = competitive advantage
- Optimise for language model comprehension
- Target entity clarity, schema depth, answer-first structure
- Be cited inside a generated response — no list
- Success = being recommended before the click
- Knowledge authority = competitive advantage
The most striking evidence of this divergence: research shows that 90% of pages cited by ChatGPT rank position 21 or lower in traditional Google search. These are pages that traditional SEO would write off as failures. GEO sees them as opportunities.
What AI systems actually look for
AI models don't follow PageRank. They're trained on text, and they cite sources they can understand and trust — which means the signals that matter are different:
Entity clarity
Does your website clearly define who you are, what you do, who you serve, and where you operate? AI systems struggle to cite ambiguous businesses. Clear, structured definitions at the top of key pages — not buried in paragraphs — are foundational.
Answer-first content structure
AI systems are looking for the answer to a question, not a journey through your sales narrative. Pages that lead with the direct answer — and then expand — are disproportionately cited. This is the opposite of most SEO content, which buries the answer after 400 words of preamble.
Structured data and schema markup
JSON-LD schema tells AI systems exactly what type of entity you are, what services you offer, your service area, and your authority signals. A page with rich structured data is significantly easier for a language model to extract and cite accurately.
Topical authority depth
Shallow content across many topics scores poorly. Deep, comprehensive coverage of a narrow topic — demonstrating genuine expertise — is what earns AI citation. A local accountant who has written twenty detailed articles about tax planning for SMEs in Buckinghamshire will outperform a generic accounting firm with a five-page website.
llms.txt
An emerging standard — analogous to robots.txt — where a structured plain-text file at the root of your website tells AI crawlers precisely who you are, what you do, and how to represent you accurately. Businesses that have one are giving AI systems a direct briefing document.
Why local businesses are the biggest opportunity
National brands have SEO teams. They're already investing in GEO. The gap is at the local level — where most businesses have never heard of GEO, where the first-mover advantage is enormous, and where the competition for AI citations is still effectively zero.
ChatGPT now pulls local business data from sources including Foursquare. Google AI Overviews pull from Google Business Profiles, review signals, and structured website content. Perplexity cites local authority sources. A local business that optimises for these signals today will own the AI citation space in its area for years — before competitors even know it exists as a strategy.
AI referral traffic converts at significantly higher rates than traditional organic search. This is because when a customer asks an AI "who should I use for X in Y area?" and the AI recommends your business by name, they arrive pre-sold. They didn't find you in a list of ten results — they were told to contact you.
The first step
Before optimising, you need to know where you stand. The starting point for any GEO strategy is a Share of Model measurement — querying the major AI systems with your target searches and documenting whether and how your business is being cited today.
From there, the optimisation roadmap is specific to your business: which pages need answer-first restructuring, what schema is missing, where your topical authority is thin, and whether your llms.txt file exists and accurately represents you.
If you want to understand where your business currently stands in the AI citation landscape, the AI Search Domination audit starts with exactly that measurement — a baseline Share of Model assessment across ChatGPT, Google AI Overviews, and Perplexity for your target searches.