AI SEO agency and generative engine optimization agency that gets you cited in AI answers

AI SEO, LLM SEO, GEO: are they the same thing

Yes. They are three names for the same service. AI SEO and AI search optimization are the terms most of the market uses. LLM SEO stresses the large language models behind the answers. GEO (generative engine optimization) is the industry term, more precise but less recognized. All of them mean one thing: preparing your business so that AI models name it in their answers.

We say this plainly because the naming in this field is chaotic, and it is easy to get the impression you are buying three different things. If you are looking for a ChatGPT SEO agency, an AI SEO agency, or a GEO agency, you are looking for the same scope of work.

The difference from classic SEO is single but fundamental. SEO fights for a spot on the results list and for the click. AI SEO fights for the model to treat your content as a credible source and weave it into a finished answer. Classic SEO is measured in positions and traffic; AI SEO is measured in citation frequency and the context of mentions. There, click-through rate matters; here, the mention itself matters, even without a click.

AI SEO does not replace SEO

It is important not to fall into either-or thinking. AI models rely heavily on the same content that is well indexed in search engines, so solid SEO is a precondition for effective GEO, not its opposite. First you build visibility in classic results, then you add a layer of citability in AI answers on top.

That is why we treat this as one coherent service rather than two disconnected projects. If you already run SEO, AI SEO is the logical next step. If you are starting from zero, plan both layers in parallel. The foundation is described on our SEO agency page, and if your site needs rebuilding first, on our web design agency page.

Generative engine optimization services: what's included

• Baseline measurement: which questions in your industry AI engines answer today, which brands they cite, and where you stand before we touch anything.
• Query and question research: the buying questions your customers ask AI, mapped to the pages that should answer them.
• Content optimization for AI models: answers in the first sentence, headings phrased as real questions, definitions in a consistent pattern, sections that can be read on their own.
• Structured data and entity work: schema.org markup, a clearly defined organization entity, consistent business data across the web, llms.txt.
• Authority and citations: getting your brand described in the sources models trust, from industry directories to expert publications.
• Citation monitoring: a monthly check of how often, in what context, and next to which competitors your brand appears in ChatGPT, Perplexity, Gemini, and Google AI Overviews.
• Reporting tied to business outcomes: AI referral traffic and inquiries, measured through server-side tracking and your CRM.

Optimizing for ChatGPT, Perplexity, Gemini, and AI Overviews: how they differ

All of these tools generate answers, but they pick sources differently, and that changes the tactics.

• ChatGPT combines training knowledge with live search. Both matter: whether your brand is described in widely available sources, and whether your page can be processed quickly during a search.
• Perplexity relies almost entirely on content retrieved in real time and shows citations. Here the biggest factor is whether a paragraph answers the question directly in its first sentence.
• Google AI Overviews generates a summary above the classic results from several sources at once. Without decent Google rankings it is hard to get in, so this layer depends most on classic SEO.
• Gemini draws on the Google ecosystem, so it rewards consistent business data across the web, including your Google Business Profile and structured data.

The practical conclusion: you cannot optimize "for AI" in one move. Language models favor specific, well-organized content, but each weighs sources differently. So we start by measuring which tools in your industry answer buying questions at all, and whom they cite today.

Why a model picks one source and skips another

Language models favor content that is clear, specific, and well structured. If a paragraph answers the question directly in its first sentence, it has a much better chance of making it into an AI answer than a long text where the point is buried. AI Overviews and similar mechanisms also reward topically coherent sources, those that cover a subject thoroughly rather than superficially. Understanding this mechanism is the starting point for any serious LLM SEO work.

AI systems also increasingly draw on structured data and well-organized FAQ sections, because that makes it easier to match an answer to a question unambiguously. Google AI Overviews can lift such a section and present it as a finished snippet. That is why the technical layer of a site matters as much as the content in GEO.

Scope of AI SEO work: four areas

A good AI SEO agency combines content, technical, and analytical skills. The work covers four areas that have to function together for a brand to actually start appearing in AI-generated answers.

• Content optimization for AI models: we rewrite and expand content so it answers real user questions directly. Content has to be structured, have logical headings, and answer the question in the first sentences. This is the core of any content optimization in GEO.
• Structured data: we implement schema.org markup and entities, because structured data helps AI understand the context of your services and products. A well-described organization entity increases the chance the model correctly associates your brand with your industry and topic.
• Authority building (E-E-A-T): AI models favor sources with strong experience, expertise, authoritativeness, and trust signals. We work on authorship, citations, consistency of brand information, and credibility signals across the web.
• Citation monitoring and visibility score: we regularly check how often your brand appears in AI answers, in what context, and next to which competitors. This monitoring closes the loop and lets us improve the strategy based on data rather than hunches.

Each element strengthens the others. Content optimization without structured data gives a weaker effect, and authority building without monitoring is shooting blind. That is why a GEO agency should treat these tasks as one system, not a list of disconnected services.

How to measure GEO

In GEO we do not measure ranking positions, because there is no such ranking in AI answers. Instead we look at how often the brand is cited in answers generated by AI models and at the context of those mentions. The key questions: does the model name your brand, for which queries, does it present it positively, and does it appear alongside competitors or instead of them.

The most important GEO metrics:

• Citation frequency: how often the brand is referenced in AI answers to a set of key questions from your industry.
• Visibility score: an aggregate measure of brand visibility in AI-powered search, used to track the trend over time.
• Context of mentions: whether the brand appears as a recommendation, an example, or a data source, and with what sentiment.
• Share of AI answers: what percentage of relevant queries end with your site being cited, compared with competitors.

This approach makes GEO accountable in the same way as other performance work. You can see whether citations grow, whether the context improves, and whether the brand gains an edge over competitors in AI answers. That separates a mature GEO agency from companies selling GEO as an unmeasurable buzzword.

The AI search market and where it is heading

The GEO market is at an early, fast-moving stage. Forecasts put the global generative engine optimization market at around $33 billion by 2034, which shows how large this area could grow within a decade. These are projections, not certainties, but the direction is unambiguous.

The main trend is that in 2026 GEO is becoming a standard complement to classic SEO. Companies that build citability in AI answers early gain an advantage that is hard to catch up with later, because language models reinforce credible sources. Presence in AI answers sends users who are late in their decision process, and as AI Overviews and AI assistants grow, this channel will only gain weight.

AI SEO pricing

Our AI SEO services start at $750 per month as an add-on layer for a site that already has solid SEO, or as part of a combined SEO and GEO retainer. The upper end depends on how competitive your industry is, how many phrases and questions you care about, and the state of your site at the start. Companies with a broad offer and strong competition should plan budgets well above the entry point. We also recommend a one-time baseline measurement of your visibility in AI models before the work starts, so that after a quarter there is something to compare the result against. A specific quote comes after a call, because a price without knowing your business and goals would be a guess.

Case studies

Our published case studies come from performance campaigns for European clients, and they show the measurement discipline we bring to GEO: every inquiry tracked, cost per lead reported, and results compared period over period. For example, for a law firm we reached about 99 qualified inquiries a month at roughly $11 each, and for an optical store we cut cost per conversion by 44.3% on the same budget. GEO results (citation frequency, visibility score, AI referral traffic) we show one on one, starting with our own site, where we monitor citations across four models every month.

Best AI SEO agency: how to choose one and what to watch out for

Because the GEO market is still forming, plenty of companies sell slogans without substance. When choosing an AI SEO agency, check a few things that separate real competence from a marketing shell.

• Does the agency measure results? If it cannot show how it tracks citations and visibility score, it is not doing GEO, it is talking about it.
• Does it combine GEO with SEO? A solid agency understands that generative engine optimization stands on the foundation of traditional SEO and does not sell one without the other.
• Does it handle structured data? Without the technical layer of entities and schema, AI models understand the context of your site less well.
• Does it use GEO on its own site? The best proof of competence is the agency's own visibility in AI answers, not declarations.
• Does it show real results? Specific implementations and outcomes say more than a list of buzzwords.
• Is the reporting tied to business outcomes? Citations are the leading indicator; inquiries and revenue from AI referrals are what you are paying for.

Beware of promises of a guaranteed first place in AI answers, because no such place exists. Beware also of agencies that treat GEO as a magic trick instead of systematic work on content, authority, and data. Good content optimization for language models is a process, not a one-time stunt.

Why adsfox as your AI SEO agency

adsfox has done performance marketing since 2018. We are a Meta Business Partner and a Google Partner, and over that time we have worked with more than 350 clients in over 20 industries, in the US and Europe. That gives us a practical understanding of the customer's path from question to purchase decision, which is exactly what effective GEO is built on.

We build our own tools, implement server-side tracking and CRM-to-ads integrations, and create our own AI agents. So the technical layer of GEO, from structured data to citation measurement, is handled in-house, not outsourced. That is a real advantage, because generative engine optimization is as much engineering work as content work.

Most importantly, we use GEO on our own site. We have a described organization entity in structured data, an implemented llms.txt file, and citable content and FAQ sections prepared for AI models. This is not theory from a slide deck, but solutions we test on ourselves before implementing them for a client. If you want to see how we turn this into results across industries, look at our case studies. We treat AI SEO as one coherent service, in which traditional SEO builds the foundation and GEO gives your brand visibility in AI-generated answers. To feed both, we can add content marketing services written for search and for AI. If you want your site cited when your customers ask AI, book a free consultation and let's talk about a GEO strategy for your industry.