LLM
Large Language ModelIt's not just a 'chatbot'. It's your client's new personal advisor. Instead of listing 10 links like Google, it analyses the market and decides on their behalf who to hire.
Full definition →SEO is evolving into GEO. We put B2B companies at the top of ChatGPT, Perplexity and Claude recommendations — where purchasing decisions are made.
GEO (Generative Engine Optimization) is the practice of optimising a brand for large language models — ChatGPT, Perplexity, Claude, Gemini and Microsoft Copilot — and for Google AI Overviews. Success is not measured by a ranking position, but by whether the model names your company in answer to a buying question.
GeoLead is a GEO agency that has worked exclusively in this segment since 2024. We operate on three layers: entity audit (how AI models describe your brand today), optimisation of the sources AI cites and RAG (Retrieval-Augmented Generation) systems retrieve, and recurring Share of Model measurement — the frequency and context of brand mentions. The same discipline is also called AI SEO, AI Search Optimization, LLM Optimization or ChatGPT ranking.
A note on terminology: the GEO in GeoLead stands for Generative Engine Optimization. We do not provide surveying, cartography or geolocation services. Our clients are B2B firms and premium brands — aesthetic medicine clinics, law firms, software houses, SaaS companies and professional services — in Poland, the DACH region, France and English-speaking markets.
Six concepts that decide today whether a client picks you — or your competitor.
It's not just a 'chatbot'. It's your client's new personal advisor. Instead of listing 10 links like Google, it analyses the market and decides on their behalf who to hire.
Full definition →Retrieval-Augmented Generation. Before answering, the model searches and reads current sources on the web. We make sure those sources hold accurate, consistent information about your company — the model works with what it finds.
Full definition →Why does AI recommend competitors even though your product is better? Because their 'digital footprint' is stronger for the machines. We build your authority so AI treats you as the undisputed industry leader.
Full definition →A Wikipedia for machines. A massive database used by Google and AI to map the world in relationships: who is who, who works with whom, who does what. If your company isn't in it — to AI, you don't exist.
Full definition →When ChatGPT "invents" facts — e.g. recommending a business that doesn't exist, or confusing your competitors' data. Strong GEO reduces the risk of hallucinations about you — AI has accurate data to draw on.
Full definition →How AI "remembers" your brand — not as text, but as a point in a multidimensional space of meanings. The closer your content sits to your clients' queries in that space, the more often AI mentions you in answers.
Full definition →More and more buying decisions start with a question to AI — not with typing a phrase into Google. Businesses ranking #1 in search are bypassed when the customer follows ChatGPT's suggestion.
GEO (Generative Engine Optimization) is the next step in the evolution of marketing. We optimise your presence so that language models — ChatGPT, Perplexity, Claude — actively recommend you.
Enter your domain. In 10 seconds we check whether AI bots can access your website and understand who your company is. Score 0–100 with a fix list.
Three steps to measurable presence in AI recommendations
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It doesn't replace it — it complements it. SEO remains important for organic search traffic. GEO is an additional client acquisition channel: a growing number of users start with a question to AI before they even open Google. Clients coming from GEO often arrive already "warmed up" — with a specific purchase intent. → See the GEO Glossary
We run regular audits based on prompt testing — we send dozens of queries to ChatGPT, Perplexity and Claude and measure how often and in what context your company appears. We report the percentage growth in visibility, sentiment change and monitoring over the first 3–6 months.
GEO works best wherever clients make considered decisions and ask for recommendations — medicine, law, finance, real estate, SaaS, B2B services, premium e-commerce, restaurants and hotels. If your client googles or asks friends before buying, they will ask AI too.
Implementation starts within 7 days of signing the contract. We take a baseline measurement at the start, and later measurements show whether and how AI answers change. First changes usually appear after a few weeks; a clearer effect in recommendations — depending on industry and competition — typically takes 2–7 months. We do not guarantee timelines: they also depend on updates to the models themselves.
Our work is based on building lasting entity authority — your company as a verified, recognisable entity in AI knowledge. That cannot be "erased" by a single update. We monitor model changes continuously and adapt the strategy at no extra cost.
Let's talk about how AI can start recommending your business. First meeting — no commitment, no sales pitch, just a concrete analysis.
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How we measure brand visibility in AI
We don't publish results that can't be verified. Every project starts with a baseline measurement, and every report is compared against it — same questions, same platforms.
Mention Rate
Share of buying-intent questions in which the model names your brand.
Recommendation position
Whether AI names you as the first choice or as the third option after your competitors.
Cited sources
The domains ChatGPT, Perplexity and Gemini build answers from in your category — the target list for RAG work.
Fixed set of buying-intent questions · ChatGPT, Perplexity, Claude, Gemini, Google AI Mode · sessions without memory or personalisation · measured every 2 weeks
Jarosław Zagajewski
Co-founder & GEO Strategist
15+ years in finance and controlling at international manufacturing companies, previously audit and due diligence at Deloitte. SGH Warsaw School of Economics graduate. Brings CFO discipline to GEO: every result has a measurement method, a baseline and a date.
Boutique model: you work directly with the co-founder — no hand-off to juniors.