GEO for Marketing Agencies | Customer Impact

When a prospect looks for a marketing agency today, they no longer always open Google. More and more often, they ask ChatGPT, Gemini or Perplexity directly “which agency can help me with X”. If you are not in that answer, you do not even make the longlist. GEO, generative engine optimization, makes sure your own agency is named and correctly described in those recommendations. And that exact same discipline is something you can sell to your clients as a new service. In this article you will read why an agency should optimize itself, how to show up in AI recommendations, how to set up GEO as a service and which pitfalls to avoid. If you want the basics first, read our guide on what GEO actually is.

Why should a marketing agency itself appear in AI recommendations?

An agency that sells AI visibility but is invisible in it loses credibility before the conversation even starts. The way your prospect chooses a supplier is shifting: part of the orientation work that used to run through search engines and word of mouth now happens in a chat window. Someone who asks an AI “which agency is good at B2B lead generation in the Benelux” gets a handful of names back, and that shortlist steers the rest of the decision process.

For an agency this is extra relevant, because you are a B2B service provider yourself, with a long buying journey and multiple decision-makers. The logic you know for your clients applies in full to you. We worked out that broader foundation in GEO for B2B, and the beauty of it is that you can now apply it to your own agency.

There is also a commercial argument that goes beyond inbound leads. Being visible in AI answers yourself is your strongest sales demo. You do not need to explain to a prospect what GEO delivers if you can show live that your own name appears where your competitors are missing. Your product is your shop window.

How do you make your agency show up when someone asks AI for a recommendation?

Your agency shows up in AI recommendations when models encounter your name often, consistently and in reliable sources in the right context, not when you polish your own site the hardest. For “which agency” questions, AI models lean heavily on what others write about you. Three levers weigh the most.

Brand mentions in independent sources. If you are named in trade articles, comparison lists, podcasts, interviews or community discussions, the model builds an association between your name and your expertise. For AI visibility, what matters is that your name lands in the right context, even without a clickable link. We explained why brand mentions weigh more heavily than backlinks.
A consistent entity. The same agency name, positioning and specialization everywhere: on your site, in your profiles, in industry directories. Contradictory descriptions confuse the model and dilute your recognizability. This principle of entity consistency is extra tricky for agencies, because they often circulate under slightly different names, services or brand names.
Machine-readable, specific content. Vague promises (“we make the difference”) give an AI nothing to work with. A clear description of who you serve, in which sectors, with which approach and in which region gives the model ready-made building blocks. The easier you are to reuse, the more often it happens.

Keep in mind that it differs per engine. An answer engine that retrieves sources in real time rewards fresh, findable content, while a model that synthesizes more strongly leans more on what it already “knows”. If you want the channel where much of B2B orientation starts in detail, read how to get found in ChatGPT. The common thread stays the same: you do not win a spot through self-promotion, but by leaving a recognizable trail outside your own site.

How do you offer GEO as a service to your clients?

GEO becomes a sellable service the moment you pour it into a repeatable process of measuring, optimizing and measuring again, rather than a one-off trick. The skills you build to make your own agency visible are exactly the skills your client needs. That makes the step to a service small, provided you structure it.

A workable service usually breaks down into three layers:

A baseline measurement. Map out whether and how the client appears in AI answers today, on which questions, in which context and next to which competitors. This is the starting point of every project. We describe what such an analysis looks like in our complete GEO audit.
An optimization approach. Translate the findings into concrete interventions: rewrite content so it is extractable, build brand mentions, clean up the entity, increase presence in relevant sources. A structured method keeps this manageable and scalable; we capture it in our GEO optimization pipeline.
Ongoing measurement and reporting. AI answers change continuously, so optimizing once is not enough. Periodic measurement shows whether you are moving and gives the client something tangible. We cover the measurement side and the tools that go with it in AI visibility tools.

Commercially, this fits seamlessly alongside your existing offer. For clients who already take SEO or content from you, GEO is a logical extension of the same work: the same content, now also optimized for how AI models read and reuse it. You do not need to overhaul your service package, you add a layer the market is actively asking for. Preferably start with a pilot at one or two existing clients, so you sharpen your process before you take it broadly to market.

Which pitfalls should a marketing agency avoid with GEO?

The biggest pitfall is selling GEO as guaranteed positions, because nobody can honestly give that guarantee. AI answers are not ranked like a classic results page and they differ per question, per model and per moment. If you promise a client they will become “number one in ChatGPT”, you are selling something you do not control. What you can promise is that you increase their chances and make sure they show up well when they are named. That distinction is the difference between a credible service and a hollow promise.

A few other pitfalls to keep an eye on:

Vanity metrics instead of impact. A mention is nice, but your client pays for leads and revenue. Report in the language of their business, not in loose visibility scores without context.
Treating GEO as a separate silo. AI visibility and classic findability reinforce each other. Do not cut them apart, but build on the content and authority that are already there.
Neglecting your own agency. If you preach AI visibility but do not work on it yourself, you undermine your own story. Treat your agency as your first client.
Selling outside your strength. Our focus is on B2B, not on webshops or pure B2C. Sell GEO where you can truly deliver; drawing honest boundaries wins trust.

The short summary

For a marketing agency, GEO has two sides. You make your own agency show up when prospects ask an AI for a recommendation, through a consistent entity, brand mentions in independent sources and machine-readable content. And you package that same discipline as a repeatable service of audit, optimization and measurement for your clients. The key word is honesty: you increase chances and make sure you show up well, you do not promise positions that nobody can guarantee.

We are a Benelux B2B growth marketing agency and one of the pioneers in GEO. We steer on leads and revenue, not on vanity numbers, and we say honestly what is and is not possible. Want to spar about how to make your own agency visible or set up GEO as a service? Take a look at our AI visibility or plan your free intake, and we will look together at where your opportunities lie.