Free AI audit
Free AI audit
GEO is the work that makes ChatGPT, Gemini and Perplexity name your company when someone asks them for a recommendation. It is not advertising and there is no slot to buy: the model quotes what it can read, verify and trust.
Generative Engine Optimization (GEO) is the practice of making a brand's content easy for AI assistants to read, verify and quote, so the brand is named in the answers those assistants generate. It does for ChatGPT, Gemini, Perplexity and Google AI Overviews what SEO does for a list of results.
The difference is what the reader sees. A results page gives ten options and lets the reader choose. A generative engine gives one answer, names specific companies inside it, and builds that answer from a limited set of cited sources. There is no second page to be on. You are in that answer or you are outside the decision, and the customer never learns you existed.
GEO does not replace search optimisation, it sits on top of it. Models overwhelmingly quote pages that are already crawlable, fast and credible, which is why we run both layers as one job. The service side of that is described on our AI-native SEO page; the conceptual split between SEO, AEO and GEO is laid out in SEO vs AEO vs GEO.
Nothing about your website broke. The step where the customer compares options moved somewhere you cannot see.
People used to type a phrase, scan a page of links and open three of them. Increasingly they ask an assistant a full question, in their own words, and read one paragraph back. The comparison still happens, but the model does it, silently, before the customer forms an opinion.
That has two consequences worth taking seriously. First, absence is invisible to you: nothing in your analytics reports the answer that failed to mention you. Second, absence is total. In classic search a weak position still puts your name on the screen. In a generated answer there is no weak position, only presence and absence.
This is also why the work compounds. Once a model has a reliable, consistent picture of what your company does and who it serves, it keeps reaching for you across related questions, not just the one you optimised for. That behaviour, one question expanding into many, is what we describe in query fan-out.
They are not interchangeable. Each one draws on a different mix of material, so the work needed to enter each answer differs too.
ChatGPT names brands that leave a consistent, credible footprint across the web: an unambiguous description of what the company does, reviews, and material that answers customer questions directly instead of talking around them. Contradictions hurt more than gaps here, so we start by making the basic facts about a company say the same thing everywhere they appear.
Shopping questions are a separate discipline. There the model compares specific products, specifications and prices, which means that data has to exist on the page in a form the model can lift, not only inside a script that renders a price into a picture.
Gemini sits inside Google's ecosystem, so it inherits Google's view of your site. Solid technical health and a complete, accurate business profile feed straight into its answers, and a site that Google struggles to crawl will struggle here too. This is the clearest argument for running search and generative work together rather than buying them from two suppliers. The groundwork is covered in technical SEO.
Perplexity numbers its sources in every answer, which makes it the easiest engine to audit and the most rewarding one to win: being a cited source sends real visitors, not just an impression. It favours pages that answer the question early and concretely, so a page that opens with three paragraphs of throat-clearing before the useful sentence tends to lose to a page that leads with it.
The signals that decide all three overlap more than they differ. We unpack them in where AI citations come from.
No jargon and no secret trick. Everything below is work you could verify on the page afterwards.
Clear definitions, direct answers, comparisons and numbers, written so a whole sentence can be quoted without being rewritten first. That is what answer-first writing means: the answer up front, not after a long preamble.
Schema.org markup for the organisation, the services and the questions you answer, plus consistent facts across the site, so the model has nothing left to guess at.
Mentions and citations in the places models already treat as reliable, and one consistent version of your name, contact details and claims wherever they appear.
Underneath all three sits an unglamorous condition: the page has to be fetchable and renderable. A model that cannot retrieve your content will not cite it, however good the copy is. That is the first thing we check, and usually the fastest thing to fix.
In practice the work splits across content, structured data and technical SEO, run in that order of urgency once the audit says which one is holding you back.
Plenty of agencies promise AI visibility without saying how they count it. Here is exactly how we do.
One caveat we say out loud: a single check is a snapshot of one day. Model answers move from week to week as sources are refreshed, so a one-off screenshot proves very little and continuous monitoring proves rather a lot. That is why measurement is part of the engagement rather than a report you buy once.
Before proposing any work we check what the models already say about you. It costs nothing and it is useful even if you never hire us.
We ask the assistants the questions your customers ask, and note whether your brand comes up, in what context and alongside whom. You get a readable picture of the current position and a prioritised list of first steps, delivered in five working days. It is a list of decisions, not a crawler export.
The same audit covers the classic search side, because the two are inseparable in practice. The scope is described on the SEO and GEO audit page, and what happens after it is on the AI-native SEO page.
Generative Engine Optimization, or GEO, is the work that makes an AI assistant name your company in the answer it gives. It plays the same role for ChatGPT, Gemini and Perplexity that SEO plays for a list of results: the model has to be able to read your pages, verify what they claim and trust them enough to quote them.
SEO competes for a position on a list, so ranking lower still leaves you visible. GEO competes for a mention inside a single generated answer that usually cites a handful of sources, and there is no second page. GEO does not replace SEO, it depends on it: the pages models quote are usually the ones that are already crawlable, fast and trusted.
No. It is not advertising. The model decides what to name from the sources it can find and trust, so the only lever is the quality and consistency of the signals your brand leaves across the web. Building those signals is what GEO is.
It depends on the industry and the starting point. First citations usually appear within a few months of steady work, and clear effects after three to six months. Visibility compounds, so the longer the work runs, the harder the position is to take away.
Ask for the free AI visibility audit. We put the questions your customers ask to the models, then record whether your brand appears, in what context and next to which competitors. You get a readable picture of where you stand and a list of first steps, within five working days.
Often more than for a large one. In most niche markets the competition has not started on GEO yet, so the cost of becoming the source a model quotes is still low. That window closes as soon as someone else does the work.
We will check what ChatGPT, Gemini and Perplexity say when your customers ask, and send back the answers plus the first things to fix. Five working days, no charge, no obligation.
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E-mail: seo@neurise.io
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