AI Search Agency: Get Found on Google and in AI Answers

For twenty years, "getting found" meant one thing: climbing higher in Google's results. Since 2024, that is no longer entirely true. A growing share of searches now end inside an answer written by an AI, with not a single click through to a website, and Google itself now shows generated answers at the top of its own pages. Search visibility is not disappearing, it is widening. An AI search agency is an agency that has taken on board this twin playing field, and that leans on artificial intelligence to cover it without blowing up production costs.

What is an AI search agency?

An AI search agency puts artificial intelligence to work for your search visibility in the broad sense: being found on Google and being cited in AI answers such as ChatGPT or the AI Overviews. AI plays two distinct roles here, a content production tool on one side, a new visibility surface to win on the other.

Let's clear up a confusion first. The term "search visibility" is broader than "SEO", even if people often use them as synonyms. Organic search visibility means all the work that makes a business visible to the people looking for it. Historically, that visibility was measured on a single surface: Google's results page. That is what SEO covers. And today? A second surface counts just as much, the answers generated by artificial intelligences. The notion of "search" has quietly doubled in scope, and many businesses have not yet realised it.

An AI search agency takes that shift on board. It keeps doing the classic SEO work, query research, useful content, clean technical structure, authority, but it extends it to an extra goal: making sure your brand gets cited when an AI writes an answer on your topic. And to meet that twin requirement without doubling the bill, it leans on AI as a production engine. That is exactly the scope of Cicero Studio: GEO audit, AI-augmented editorial production and automated semantic internal linking.

Search now has two surfaces

Search visibility now plays out on two complementary surfaces: Google's results page, measured in positions and clicks, and the answers generated by AI, measured in citations and brand mentions. Both rest on the same foundation of reliable, well-structured content.

In concrete terms, what has changed? The shift is documented. Google has rolled out its AI-generated answers, the AI Overviews, at the top of its results, and several industry analyses have measured that they reduce the click-through rate to websites for the queries concerned. An Ahrefs study published in 2025 notably recorded a marked drop in click-through rate on queries that show an AI Overview. In other words, being first on Google is no longer enough if the answer appears above your link, written by an AI that may well cite somebody else.

Try it yourself, right now: type your line of business into ChatGPT and look at who gets cited. Surprised? Most business owners are, because it is almost never the same players as on the first page of Google. That is the whole point.

In parallel, a new discipline emerged to frame this second surface. Researchers formalised the concept of Generative Engine Optimization in 2023 in a research paper presented at the ACM SIGKDD conference, which studies what makes a generative engine cite one source rather than another. People often call it GEO or, more simply, AI search visibility. This is not a fad. It is the formalisation of a field that did not exist three years ago.

Search visibility now spreads across two surfaces: classic search and the answers generated by AI.

Does that mean redoing everything? No. The good news is that these two surfaces share the essentials. The signals that make a page rank on Google, authority, freshness, clear structure, named sources, are largely the ones that push an AI to cite it. Good search content is usually good for both. That is why it makes no sense to handle them separately: you optimise once, for two surfaces.

A concrete example, drawn from the audits we run. On the site of a B2B service provider, a well-structured definition page, with its clear answer up front and its sources, was ranking decently on Google without us touching it. When we put the same question to ChatGPT, it was that page that came out cited, while three competitors better positioned in paid ads stayed invisible in the AI's answer. The editorial work that served Google was already serving visibility in the AIs. That is the whole value of not splitting the two efforts.

The dual role of AI in search

AI plays two roles that should not be confused: it is both a new visibility surface to win (the generated answers) and a tool that speeds up content production. An AI search agency works both, without mixing them up.

This is the nuance that really sets an AI search agency apart from a classic SEO agency, and it is often misunderstood. Hold on to this image: AI is both the playing field and the tool. Artificial intelligence comes in at two completely different points.

First role, AI as a target. Generative models have become an entry point to information, on the same footing as a search engine. Being present in their answers becomes a search goal in itself, with its own optimisation techniques. We come back to this below, but the idea is to structure your content so a model can extract and cite it easily.

Second role, AI as a production tool. Here it does not change the rules of search, it changes its economics. Producing quality content used to cost hours of a writer's time; it now costs a fraction of that, at equal quality after review. That makes it possible to cover far more queries on the same budget, and so to build a site's authority far faster than manual production. The underlying work stays long, but the throughput goes up.

At Cicero, we have a simple rule so we never confuse these two roles: AI-the-target is won, AI-the-tool is steered. The first calls for editorial work, exactly as we learned to please Google. The second calls for a method and guardrails, otherwise it produces waste at high speed. The day someone showed me a site that had published three hundred generated articles in a month and lost half its traffic at the next core update, the lesson was crystal clear: speed without the human hand is just being wrong faster.

The question to ask is therefore not "am I using AI?", but "to do what, and with what safety net?". A business can perfectly well aim for visibility in the AIs without automating its production an inch, or conversely automate its production without understanding anything about AI search visibility. The two levers are independent. An AI search agency, by definition, knows how to pull both and never mixes them up.

Does AI-produced content hurt your search rankings?

No, provided it is reviewed and verified. Google has officially confirmed that it judges content on its quality and usefulness, not on how it was produced. Generic, unreviewed AI content is fragile; sourced and useful AI content is treated like any other good content.

"But won't Google penalise me?" That is the first worry of every business owner, and the official answer is unambiguous. In its February 2023 statement on AI-produced content, Google set out a clear principle: what matters is the quality of the content, not the way it was produced. Using AI to generate content for the sole purpose of manipulating rankings remains against its rules; using it to produce genuinely useful content is legitimate. Its documentation on helpful, reliable content has not changed course either.

The nuance explains why so many "100% AI" projects collapse. Successive algorithm updates have tightened the hunt for low-value content, and a large share of the penalised sites relied on content generated with no review and no angle. The production method is not the problem; the absence of expertise and verification is. We dig into what these updates actually targeted in our analysis of whether AI content gets penalised by Google, and more broadly into what E-E-A-T changes for AI content.

The practical consequence for an AI search agency is plain: you always keep a human in the loop. The AI produces the draft; a human validates it, then signs it by adding their sources. This is also what generative models value on the GEO side: verifiable, attributed content is more citable than an anonymous text.

The Cicero Studio method: GEO audit, augmented production, internal linking

Cicero Studio combines three building blocks: a GEO audit that measures your visibility on Google and in AI, an AI-augmented editorial production reviewed by humans, and an automated semantic internal linking that organises your content into topic clusters.

Our starting conviction fits in one sentence: AI is neither a threat nor a magic wand, it is a lever that has to be framed by a method. With no method, it is just a tap of mediocre content. Here is how we go about it, in order.

1. GEO audit, measure before acting

We start by looking at what already exists: your pages that rank, those that could rank with a little work, the business queries left uncovered, and the way AIs talk (or do not) about you. Often, the biggest gain is not to create but to optimise what's already there. It is counterintuitive. Across the audits we run, we have checked dozens of sites where a handful of already-published pages were worth more, once reworked, than a fresh series of articles. Why? Because a page that already has six months of history starts with a head start over a page created yesterday. This audit is free and with no commitment. Our full method for an SEO and GEO audit details the points we check.

2. AI-augmented editorial production

This is the heart of the setup. AI speeds up research and then the structuring of the first draft; a human writer brings the angle, checks every figure and cites named sources as deep links. Every piece of content follows the search fundamentals: search intent identified, structure built for on-page SEO content, long-tail coverage. The quality stays that of an agency; the cadence is that of a tool. That is what we sum up as "agency-quality work, software-grade productivity".

3. Automated semantic internal linking

An isolated piece of content that ranks is good. A network of content that reinforces itself and signals your authority on a topic is what makes a site take off, and what AIs read as a sign of expertise. We organise your pages into semantic clusters: a pillar that frames the topic, satellite articles that dig into it, and a contextual internal link mesh between them, maintained automatically as new content ships. This is what manual production never holds over time.

This automation is not a gimmick: it is what lets us hold a high editorial cadence without sacrificing human SEO writing or source verification. This page on AI search fits into a coherent whole alongside our AI SEO agency, centred on Google search, and our GEO agency, centred on AI answers.

How to get cited by a generative AI

To be cited by an AI, content must be clear, up to date and authoritative on its topic. Concretely: a direct answer placed at the top of a section, facts attributed to named sources, a clean semantic structure reinforced by structured data. These are largely the same signals that make a page rank on Google.

AI search visibility is not a black box. Generative models lean on the web and on search engines to compose their answers, and they favour content they can extract and rephrase without risk. A few principles come up consistently.

• Answer directly at the top of a section. A clear sentence of answer, right after the heading, is easier to extract than an idea buried in a paragraph.
• Cite named sources. A fact attributed to an identified body inspires more trust in a model than an anonymous claim.
• Structure semantically. Logical headings and structured data (schema.org) help an AI understand the place of each piece of information on your page.
• Keep content up to date. Freshness is a strong signal, on Google's side as on the AI's.

If your priority is precisely to appear in ChatGPT and generative answers, we detail the steps to follow on our pages dedicated to getting cited by ChatGPT and getting cited by Google AI Overviews. The challenge, for most businesses, is not to choose between Google and the AIs, but to cover both in a single move. The regulatory frame for these uses, on the French side, is moreover mapped out by the CNIL's guidance on artificial intelligence, which is worth keeping in mind whenever you handle personal data.

Agency or software: why we refuse to choose

Classic agencies deliver quality but cost a lot and produce little; generation tools produce in bulk but with no review and no expertise. Cicero Studio takes the agency's quality and the software's productivity, and keeps a human on every piece of content.

When I launched Cicero, it was precisely this frustration that decided me. The search market split for a long time into two camps. On one side, the traditional agencies: quality work, but heavy retainers for a handful of pieces produced each month. On the other, a wave of automatic generation tools: volume, but often with no angle, no verified source, and fragile in the face of Google's updates as well as the AIs' requirements. You had to pick your compromise. Honestly, neither one satisfied me.

Our bet is to refuse that compromise. Cicero Studio takes the editorial rigour of an agency (human review, named sources) and couples it with an automated production chain that holds a tool's cadence. The AI does the repetitive work, the human does the judgment work, and every piece of content goes through a double validation, automated then human, before publication. That is what our line sums up: agency-quality work, software-grade productivity. To compare the players objectively, we keep an up-to-date comparison of AI SEO agencies in France.

What AI does not do for search

Let's be honest, because it is exactly the kind of transparency Google rewards, and because we don't like overselling. AI is not magic. Here are the limits worth knowing before you start.

AI search is powerful for businesses that have real expertise to document and a site technically capable of ranking. For a site with no substantive content and no differentiation, no automation will work miracles: it remains, above all, serious editorial work that AI speeds up and then extends to a new surface.

Alexis Dollé

CEO & Founder of Cicero Studio

A growth specialist and content strategy consultant, I launched Cicero to help businesses capture durable organic visibility, on Google as in AI answers. Day to day, I steer our clients' audits and editorial production: we put AI to work for production, never in place of expertise. Every piece of content is built to convert, not just to exist.

LinkedIn →

Resources to go further

We document our approach in the open, it is our best proof. Each of these guides digs into one building block of AI search touched on above, from the SEO base to visibility in AI answers. Here are the most useful pieces to understand how artificial intelligence is reshaping search, and how to make the most of it without falling into the trap of unreviewed bulk content: