How is it different from traditional SEO, and does it replace it?

Classic SEO measures the position of a page for a keyword. Generative engine optimisation looks at whether your brand is mentioned, cited and recommended, and in what context. It does not replace SEO: technical accessibility, quality content, site architecture, authority and internal linking still matter. The best results come from one visibility strategy for search results and AI interfaces.

Can you optimise a company for ChatGPT, Gemini and Perplexity?

You can improve the chances that your brand is recognised, cited and recommended, but nobody controls what an external model says. Each tool uses different models and sources, so we analyse each one separately and build a plan from the findings. Anyone promising a guaranteed position in AI answers is promising something they do not control.

What decides whether a brand appears in AI answers?

It depends on the type of question, how current the topic is, the country and language, the tool, and the credibility of the available material. Clear, specific, current content, consistent brand information across sources and independent mentions all help. No single factor guarantees a mention.

How can I check my brand's visibility in AI systems?

Start with a diagnosis, not with new content. We prepare a set of queries about your offer, industry, customer problems and buying stages, then check your presence across models, how often you appear, your place in recommendation lists, how your offer is described, which domains are cited and what information is wrong or outdated. This is the core of our AI visibility audit.

Does AI-generated content help?

Not on its own. Producing texts with AI is not a strategy, and mass-produced, superficial material does not build authority. It also makes valuable information harder to find. Content still needs a real intent, specific facts, a named expert and credible sources.

How long does it take to see results?

There is no single timeline. It depends on your starting point, the quality of your site, brand recognition, how competitive your industry is, how many sources are available and how fast recommendations are put in place. A single update can change what is available online quickly, but that does not mean every AI system will reflect it straight away. We treat this as an ongoing process.

Which companies benefit most from AI search optimisation?

Businesses whose customers look for recommendations, compare solutions, need specialist knowledge or take a long time to choose a supplier. A brand that is missing from AI answers can lose contact with a customer before that person ever reaches your website.

AI Search

Generative engine optimisation agency: get recommended by AI

As a generative engine optimisation agency, we make your brand visible, cited and recommended in answers from ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google AI Overviews. We run it together with classic SEO as one search visibility strategy: diagnose, grow, monitor.

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Google Premier Partner 2026
Top 3% of Google Ads agencies in Poland
Microsoft Advertising Partner
Campaigns in 25 export markets

What is generative engine optimisation (GEO)?

Generative engine optimisation, also called AI SEO or GEO, is the work of increasing the visibility of your brand, products, services and expert content in answers generated by AI. That includes ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google AI Overviews.

Classic SEO asks where a single page ranks for a keyword. In generative search, the question is whether your brand is recognised, named, cited, compared or recommended. A traditional search engine returns a list of results. An AI system builds one synthesised answer from what the model has learned, pages it finds at that moment, databases, search results, or a mix of these.

The system interprets the question, detects topics and brands, chooses sources, checks that the information is consistent and then names sources or recommended companies. No universal list of factors guarantees a mention, because each tool uses different models and indexes. What works is one consistent strategy that joins SEO, content, structured data, analytics and independent sources.

From visibility analysis to presence in AI answers

Visibility in ChatGPT, Gemini, Perplexity and AI Overviews does not happen by accident. We first check how AI models see your brand, then strengthen the right signals, then keep measuring.

Diagnose
We check whether your brand appears in model answers, in what context it is described and which sources shape the recommendations. That means analysing answers from ChatGPT, Gemini and Perplexity, testing visibility in Google AI Overviews, comparing you with key competitors, reviewing recommendations, citations and sources, and setting out gaps and priorities. The starting point is our AI visibility audit.
Grow
We put in place the work that raises the chance of your brand being recognised, cited and recommended by AI systems: content that answers real customer questions, stronger expertise and credibility, optimised key product and service pages, a wider presence in external sources and consistent signals about your brand and offer. All of it is tied to classic SEO.
Monitor
AI answers change as content, sources and competitors change. We measure your presence in AI answers on a regular cycle, track recommendations and citations, compare your visibility with competitors, watch which sources the models use, spot new topics and queries, and report results with next steps. See AI visibility monitoring.

Where your brand can appear in AI answers

Each of these needs its own analysis. A brand can be cited as a source in AI Overviews and still be missing from ChatGPT's recommendations. Those are two different types of visibility.

ChatGPT

Answers, recommendations, comparisons and web search.

Google AI Overviews

Summaries generated inside Google results.

Gemini

Answers linked to the Google ecosystem.

Perplexity

Search-based answers with visible citations.

Microsoft Copilot

Answers connected to Microsoft search.

Assistants on websites and apps

Assistants that draw on their own or third-party knowledge bases.

What a generative engine optimisation agency works on

The aim is to make it easier for AI systems to find, understand and trust your brand. In practice, that comes down to four areas.

Content that answers real questions

No special text format guarantees citations. Good content serves a concrete intent, gives specific information, includes data and examples, has a clear structure, names the author or expert, refers to credible sources and is kept up to date.

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Your brand as a recognised entity

AI systems should understand what your company is, what it offers, who it serves and how it differs from similarly named businesses. We work on a clear company description, brand and author pages, consistent data in external profiles, structured data and consistent naming.

External sources and mentions

A brand describing itself is only one source. Independent publications, reports, directories, rankings, reviews and industry materials strengthen credibility. Quality, topic and context matter more than the number of mentions. The work overlaps with link building and digital PR.

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Technical foundation

Even the best content does not help if systems cannot find, read and interpret it. We review crawler access, indexation, HTML and heading structure, canonicals, redirects, duplication, structured data, internal linking, speed, mobile version, JavaScript rendering and language versions.

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How AI systems choose their sources

The choice depends on the type of question, how current the topic is, the country, the language, the tool and the credibility of the material. Content that is clear, specific, current and set in a wider topic context gains the most. Consistent information about your brand across different places matters too. In B2B, the sources most cited tend to be specifications, descriptions of implementations and case studies with numbers.

Not every company needs visibility on thousands of general queries. Often the questions that matter are about choosing a supplier, comparing solutions, price, quality or use case. So we build the strategy from your customers' real questions, your market position and your business goals: priority topics, queries assigned to pages, stronger service and product pages, expert materials, tidier brand information, third-party mentions, visible experts and constant monitoring.

How we measure results

We never judge results from a single screenshot of one model's answer. AI answers do not form a fixed ranking. They shift with models, sources, publications, competitor activity and the wording of the question. We use a fixed set of queries, regular measurements and a comparable method, and we track:

the number of queries where your brand appears
how often it appears across successive measurements
your share of recommendations and your share against competitors
the order in which brands are listed, and the context and sentiment
how many of your pages and materials are cited, and how varied your external mentions are
traffic from AI tools, branded searches and direct visits
leads and sales preceded by contact with your brand in AI answers

Attribution is hard, so we join the data

A user may meet your brand in an AI answer and then visit directly or search for your name on Google. That is why we combine AI visibility data with GA4, Google Search Console, your CRM and what your sales team hears in conversations. Our web analytics work sets that measurement up.

Search that is part of the whole business

We do not do SEO in isolation from the rest of digital. We combine it with analytics, performance marketing, UX, technology and a clear view of how search is changing in the age of AI. We are a Google Premier Partner 2026, a Microsoft Advertising Partner and an OpenAI Select Partner, so we work across the Google and Microsoft ecosystems and with AI platforms.

We do not guess how AI changes SEO. Our own AI SEO Report 2026 is a meta-analysis of 75+ studies on AI Overviews, language models, brand citations and changes in search. Technology changes. Accountability for the result stays the same.

Our credentials

Top 3%

Google Premier Partner 2026, top 3% of Google Ads agencies in Poland

75+

studies analysed in our own AI SEO Report 2026

5.0

rating on Clutch

4.8

rating on Google

Classic SEO results from our campaigns

+110%

keywords in Google's top 10 for an online pharmacy, a regulated industry with limited paid advertising

+230%

keywords in Google's top 50 for the same pharmacy

+130%

keywords in Google's top 10 for a small niche manufacturer competing against bigger budgets

+290%

keywords in Google's top 50 for the same manufacturer

What you gain

We do not stop the analysis at a keyword's position. We look at the whole process, from how people search, through technology and content, to user behaviour, conversion and the effect on your business.

A strategy based on business potential, competition and real search intent.
Technical SEO, content and information architecture working together.
User behaviour analysis and SXO, so that traffic growth has a chance to turn into sales.
Growing site authority through expert content and well-planned link building.
Changes in Google and visibility in AI treated as parts of one search strategy.