Selling GEO as an agency: what changes compared to SEO
Clients are asking their agency for GEO, but almost nobody knows how to structure the offer. Diagnosis, correction, monitoring: three jobs to bill separately, an operational wall to get past, and hard figures to renew the contract.
Right now, SEO agencies keep getting the same call, phrased ten different ways. "We're told we no longer show up in ChatGPT." "A client asked why a competitor is cited by Perplexity and not us." "The boss noticed his name missing from a Gemini answer and wants an action plan by Tuesday." GEO, Generative Engine Optimization (the craft of making a brand visible and well cited in the answers of AI chatbots such as ChatGPT, Claude, Gemini or Perplexity, as opposed to classic ranking on Google), has just moved from curiosity to budget line. Agencies that know how to sell it capture that line. The others watch a competitor take it from them.
Demand is not the problem. It exists, it is growing, and it comes straight from clients. The problem is that almost nobody knows how to structure a GEO offer that holds up: one that is not an SEO contract copied and pasted with a single word changed, that bills real work rather than a vague PDF report, and that scales across several clients at once without blowing up the team's time.
What a client is really buying
A client asking for GEO usually does not know what they are buying. They saw a worrying figure, heard a competitor talk about it, or noticed for themselves that when they type a question about their own industry into ChatGPT, their brand never appears in the answer. Their real need boils down to one question: "do AI chatbots see me, and if not, why."
This is where the agency has to set a clear framework, because GEO actually covers three different jobs, and selling all three under a single label always ends in disappointment.
The first job is diagnosis. Querying the chatbots on the searches that matter to the client, checking whether the brand appears, how it is described, and against which competitors. It is measurement work, comparable to a classic SEO audit but on a terrain where results change from one week to the next and differ from one engine to another.
The second job is technical correction. Making the site readable by the bots that feed these chatbots: content that loads without heavy JavaScript, a clear structure, a properly written llms.txt file (a text file at the root of the site that tells AIs what they can read and how to understand it, the counterpart of the robots.txt file that has existed for twenty-five years for classic search engines). This work looks like technical SEO, but the criteria are not the same.
The third job is content production and reputation management. Writing or rewriting what needs to be cited, monitoring how the brand is perceived over time, stepping in when an AI repeats false or outdated information about a client. It is editorial and relationship work that never stops, unlike a one-off audit.
An agency that sells all three in a single fixed package is bound to lose money on the one that demands the most ongoing time: monitoring. An agency that sells the three separately can bill each at its fair value, and above all sell the diagnosis as the entry point to the other two.
Structuring the offer: three tiers, not a single package
The good practice emerging among agencies that have already sold GEO to several clients looks like this: a short, affordable first tier that opens the door, a second tier that fixes, a third that monitors over time.
| Tier | Content | Duration | Billing logic |
|---|---|---|---|
| Diagnosis | Visibility audit on 20 to 50 key queries, map of cited competitors, findings report | 1 to 2 weeks | Fixed fee, entry price |
| Correction | Technical rewrite (llms.txt, site structure, product pages or key pages), priority content plan | 4 to 8 weeks | Project fee, defined deliverables |
| Monitoring | Monthly multi-chatbot tracking, brand perception alerts, continuous content adjustment | Recurring | Monthly subscription |
This structure has a precise commercial advantage: it avoids selling a fuzzy promise. "We'll make you visible on AI" means nothing to a marketing director who has to justify a spend. "Here is what we measure, here is what we fix, here is what we monitor, and here is the price of each step" can be defended in front of any budget committee.
The "monitoring" tier is the one that keeps the agency alive over time, and it is also the one most agencies underestimate in terms of workload. Tracking a single client's visibility on four different chatbots, every week, by hand, takes time. Doing it for fifteen clients by hand becomes impossible. That is the real operational wall of GEO in an agency: not the sale, not the method, but the ability to repeat the work without multiplying billed hours by the number of clients.
The operational wall: running ten clients like one
An SEO agency that adds ten clients adds ten Google Search Console accounts to watch. A GEO agency that adds ten clients has to monitor ten brands on four chatbots, potentially forty information streams to check regularly, each of which can change overnight. Without a suitable tool, that load falls on a consultant copying chatbot answers into an Excel spreadsheet. It does not last three months.
So the question to ask before selling a GEO offer at volume is not "can I do the diagnosis" but "can I redo it every week, for every client, without spending my life on it". That is exactly the kind of problem a tool like Vurto is built to solve: it automates querying the chatbots for each tracked brand, centralizes perception and citations per client, and offers an agency mode that lets you manage several client accounts under a single dashboard, with differentiated roles for the team and a shared activity history. The agency keeps the advice and the client relationship. The tool absorbs the repetition.
Bill the proof, not the promise
The last point, and the most sensitive commercially, is proof of results. A client paying for a GEO monitoring subscription will ask, after three months, "what has it changed". Answering with a gut feeling will not be enough for long.
The indicators that hold up are simple to explain even to a non-technical client: the citation rate (the share of tested queries where the brand appears in the chatbot's answer), the evolution of the tone the AI uses to describe the brand, and the relative position against tracked competitors on the same queries. Three figures, measured before and after, are enough to turn a GEO report into an argument for contract renewal. That is far more convincing than an export of ChatGPT conversation screenshots, which remains the most widespread method and the least defensible in front of a client comparing several quotes.
Selling GEO as an agency, in 2026, is therefore not about inventing a new profession. It is about applying a discipline that is already known, visibility consulting, to a terrain that changes faster and cannot be measured with the same tools as before. The agencies that win this battle will not be the ones that talk best about GEO in a sales meeting. They will be the ones that can prove, figures in hand, client after client, that their work has a measurable effect on what an AI says about a brand.
Vurto was designed for this scale-up: tracking several brands, several chatbots, one interface, with an agency mode that centralizes client accounts without multiplying manual work.