AI search agency for growing brands
An AI search agency measures and improves how AI assistants like ChatGPT, Gemini, Perplexity and Google AI Overview mention, cite and recommend a brand. CitationLab is an AI search agency. We map how each model describes you today, find the gaps keeping you out of the answer, and close them.
Brands we work with






Why you need an AI search agency now
Your customers no longer ask Google ten questions. They ask one AI assistant, and get one answer with a handful of sources.
In classic search, a first-page ranking gave you a reasonable shot at the click. In a generated answer only a few sources are cited. Either you are one of them, or you do not exist in the decision.
The position is built up over time and defended the same way. The brands establishing themselves as the default answer in their category now become hard to displace later.
What an AI search agency does
Measuring where you stand today
We run prompts the way your customers actually ask, in their language, against ChatGPT, Gemini, Perplexity and Google AI Overview. You learn exactly how often you are mentioned, what is said about you, and who gets mentioned instead of you.
Entity and content work
Models cite sources they can interpret and verify. We rebuild your key pages into clear, quotable answers, clean up structured data, and make sure the facts about your company are identical everywhere they appear. The result is that models stop guessing who you are.
Authority and source work
A model trusts you when other reliable sources confirm you. We work deliberately towards the sources models actually draw on in your category, not towards links in general. The effect compounds over time.
Ongoing monitoring
Visibility in AI search is not a one-off job. We follow the changes month by month and adjust the work based on what actually moves the answer. You see the movement, not just the activity.
How an engagement works
- 1
Baseline
We measure how the AI models describe and recommend you today, and how they describe your competitors.
- 2
Question map
We map the questions your customers actually ask AI in your category, and which of them you lose.
- 3
Prioritisation
We rank the gaps by what moves fastest towards your business goal, not by what is easiest to fix.
- 4
Execution
We do the work, publish, and measure.
- 5
Management
Monthly follow-up, reporting and adjustment.
What is the difference between AEO, GEO and classic SEO?
| Discipline | What it optimises for | Decisive factor |
|---|---|---|
| SEO | Ranking links in classic search | Page-level relevance and authority |
| AEO | Being recommended by AI assistants | Entity authority and consistent facts |
| GEO | Being cited as a source in generated answers | Fact density, source credibility, freshness |
The three overlap, but none replaces the others. A complete AI visibility programme covers all three.
Go deeper
Two things are called an AI agency. We are one of them.
Builds AI for you
Chatbots, automation, custom models. We do not do this, and we will say so.
Gets AI to recommend you
When customers ask ChatGPT, Gemini or Perplexity, we make sure your name comes up.
Who is this for?
Brands where the customer researches before buying, and where an AI-generated answer can decide who makes the shortlist. Typically B2B with a long sales cycle, finance and insurance, health, and e-commerce in categories people ask for advice in.
Who it is not for
It is a poor fit for pure impulse purchases, and for businesses selling exclusively to local repeat customers.
Frequently asked questions
What companies ask before hiring an AI search agency.
An AI search agency measures and improves how often, how accurately and how positively AI assistants mention, cite and recommend a brand. It is also called an AEO agency or an AI visibility company.
An SEO agency optimises for ranking links. An AI search agency optimises for becoming the answer itself. The work overlaps on technical structure, but the measurement, the prioritisation and the success criteria are different.
We run a defined set of prompts against each model at regular intervals and record whether you are mentioned, how you are described, which sources are cited, and who is mentioned instead of you. The measurement repeats so change can be tracked over time.
The first measurable movement typically comes after two to three months. A durable position as the default recommendation in a category usually takes six to twelve months of consistent work.
AI models answer differently per language and weight Nordic sources differently. A local company tests prompts the way local customers actually ask, knows which local sources get cited, and supports you in your time zone.
Parts of it, yes. Cleaning up structured data and rewriting key pages is work an internal team can do. What is hard to do yourself is continuous measurement across models and languages, and knowing which sources actually move the answer in your category.
ChatGPT, Google Gemini, Google AI Overview and Perplexity.
The first visibility measurement is free and comes with no obligation. After it we price the programme against a defined scope.
Founder & CEO, CitationLab
Written by Krister Ross, founder of CitationLab. 25 years in search and digital marketing, and working on AI visibility since the discipline took shape.
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