The GEO guide: generative engine optimization explained
GEO — generative engine optimization — is the practice of shaping a website's content and structure so that AI assistants like ChatGPT, Perplexity, Gemini and Copilot can find it, understand it and cite it when answering users' questions. Where SEO is about standing out in a results list, GEO is about becoming part of the answer itself.
This guide explains what GEO actually means, why it has become relevant now, how AI engines in practice choose which sources they trust, and how a completed GEO engagement is carried out — in that order.
What is GEO?
Instead of searching, buyers increasingly put their questions straight to AI assistants like ChatGPT and Perplexity. When a purchasing manager asks "which agencies help Swedish manufacturers with ESG reporting?" they get a finished answer with a handful of names — not ten blue links to choose between. If the answer names your company, you are in; if not, you are not there at all.
GEO is the working method for ending up in that answer. It is about making the website technically reachable for AI bots, writing content that is easy to reproduce word for word, describing the company consistently across the whole web, and giving the engines machine-readable structure — so that your website becomes a source the assistant wants to trust.
GEO compared with SEO
GEO does not replace SEO — the basics (a fast, accurate, crawlable site) still apply. But they are no longer enough: a website can rank first on Google and still never appear in AI answers.
Why now?
The buying journey has moved its first step. A purchase used to begin with a Google search and a self-directed comparison. Today the same purchase often begins with a question in a chat: "which suppliers should we look at?". The assistant's answer becomes the first shortlist — long before your website has had a chance to appear.
- The answer holds few options. A search page shows ten blue links; an AI answer often names two to four. Being inside — or outside — that narrow selection is a far bigger difference than ranking first or third in a list.
- The buyer stays in the chat. Follow-up questions, comparisons and price detail happen in the same conversation. The traffic that reaches your site has already shortlisted you.
- The selection can be influenced. AI engines choose sources by distinguishable criteria: citability, structure, consistency, corroboration. Companies that work on them show up; those that do not drop out of the selection.
Most Swedish companies have not yet adapted their websites for this. That means the basics — citable content, correct structure, consistent information — still deliver a relatively large and cheap head start. The numbers behind the shift: Swedes have already moved the purchase into the chat.
How do AI engines choose which sources they cite?
No engine publishes its full algorithm, but how they work is well known: the answer is built by a language model combining what it has learned with — for several of the engines — fresh results from a web index. Which sources are chosen is governed by a few factors that hold steady, engine by engine:
Citable content
Engines prefer statements that can be reproduced outright: a clear definition at the top, concrete figures with years, lists that answer one question per point. Vague marketing prose without concrete content is rarely cited.
Technical reachability
The site must be crawlable. Many AI bots have their own user agents (GPTBot, PerplexityBot, ClaudeBot and others) that can be blocked unwittingly in robots.txt. Content that only loads with JavaScript often does not show up at all.
Structured data
schema.org markup (Organization, Product, Service, FAQPage) makes it cheap for the engines to understand what you do, what you sell and which questions you answer — and increases the chance that the right page is picked for the right question.
Entity consistency
The same company name, the same description and the same core details on the website, LinkedIn, trade registers and directories. Engines build a picture of your company as an entity — discrepancies make that picture uncertain.
Corroboration
A company that only talks about itself is hard to trust. Independent mentions — customer cases, trade articles, lists, reviews — confirm that you exist and what you are good at.
Recency
Pages with a clearly maintained last-updated date, and content kept current, carry more weight than pages nobody has touched in years.
The point: none of this is magic. It is the same craft good web publishing has always required — but aimed at the criteria the engines actually use when choosing what to build their answers on. The mechanics in detail: How do AI engines choose which companies to cite?
How does a GEO engagement work?
A completed engagement has five parts — always in the same order, because each step is measured against the previous one:
Baseline: where do you stand today?
The work begins with 10–20 questions of the kind your buyers actually ask, put to ChatGPT, Perplexity and Gemini. The result is a picture: are you named, is your site cited, and which competitors take the place instead? That is the starting point everything else is measured against.
Citable pages
The engines cite sentences, not pages. What decides it is whether each important page opens with a sentence that answers the page's question outright — whom you help, with what, where — and then builds on concrete detail: prices, process, references, timelines. Rewriting existing pages so they become citable, without getting worse for people, is the core craft of GEO.
Machine-readable structure
Beyond the content, structured data describes the company in a language the engines read directly: Organization on the home page, Service/Product on the service pages, FAQPage where there are real questions. The markup must also validate — half-broken schema has no effect.
Technical access
A common mistake is the site blocking the AI bots unwittingly — a generic User-agent: * block, or a robots.txt line naming GPTBot, PerplexityBot or ClaudeBot, shuts everything out. Just as common: important content exists only in JavaScript and therefore never reaches the index. Both are cleared before the content work begins.
Entity consistency
The engines trust what is consistent: the same name, the same one-line description, the same address and the same service wording on LinkedIn, the Google Business Profile and in the trade registers. When the details differ, the engines discard the uncertainty — the work is to pick one wording and hold it everywhere.
Then everything is measured again with the same questions, after 4–8 weeks. That is the difference between guessing and knowing — and why GEO is an ongoing programme rather than a one-off project. Eyrie's free review begins with exactly that baseline: you see where you stand before you order anything.
When do you need an agency?
An honest answer: the basics are no secret — the criteria are in this guide. The question is whether the work happens at all, and whether it holds month after month.
It is time to bring in help when any of this applies:
- You sell B2B with long buying journeys — where the AI questions are concrete, the selection narrow and the value per citation high.
- Nobody owns the measurement. Putting 20 questions to five engines every month and interpreting the answers systematically is work that rarely gets done.
- The content work takes craft. Rewriting service pages so they become citable — without getting worse for people — is a discipline of its own.
- You have optimised for Google for years and know the site holds together technically, yet it still does not appear in AI answers. Then it is about criteria the SEO work never covered.
Eyrie does exactly that: reviews where you are cited today, optimises the structure and the content, verifies the change engine by engine — and then monitors it continuously. Read more about how we work as a GEO agency — or see pricing and what is included.
Frequently asked questions about GEO
What does GEO mean?
GEO stands for generative engine optimization — optimising a website's content and structure so that generative AI engines like ChatGPT, Perplexity, Gemini and Copilot can find it, understand it and cite it when answering the user's questions.
What is the difference between GEO and SEO?
SEO aims to rank high in a results list that the user then clicks away from. GEO aims to become part of the answer itself — the assistant naming, citing or recommending your company directly. Many measures overlap, but GEO adds the requirements of citability, structured data and entity consistency on top of the basics of SEO.
Does GEO work on ChatGPT, Perplexity and Gemini at the same time?
To a large extent, yes. The engines gather information differently — some rely more on training data, others on search and fresh web pages — but the foundation is shared: technically reachable content, clear citable statements, structured data and consistent company information. Optimise for the foundation, then measure engine by engine.
How long does it take to show up in AI answers?
It varies with how often the engines' indexes are refreshed for your industry. Changes to content and structure often start to show within a few weeks to a few months. GEO is therefore ongoing work: measure, update, verify again.
Can I do GEO myself?
The basics are no secret — the criteria are described in this guide. What is harder to achieve on your own is systematic measurement across several engines, competitor monitoring in AI answers, and the ongoing rewriting that actually moves the measurement. That part is therefore often outsourced.
Is adding schema.org enough?
No. Structured data helps the engines understand the page, but what gets cited is the content itself — clear, self-contained statements that can be reproduced outright. Schema.org is part of the foundation, not the whole answer.
How do you measure the result of GEO?
By putting a fixed set of questions — the ones your buyers actually ask — to the major AI engines before and after the optimisation, and counting in how many answers your website is cited, named or recommended. The result is most simply summarised as a visibility score per engine, tracked over time. Every answer assessment is reviewed by a human and the raw answers are shown in the report — the trend over months is the measure, not a single run.
What does it cost to get started with Eyrie?
The initial review report is free: AI visibility score, where you are cited today, where you are missing and the first three actions. After that, GEO optimisation costs SEK 14,900 per project and ongoing monitoring SEK 6,900 per month (excluding VAT), with no lock-in.
Do you want to know where your website stands today?
Order the free review report — you get the visibility score, the gaps and the first three actions.
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