The Result First: Most Cited Marketing Agency in Lithuania on LLMs
In early 2026, Agenzy ran a GEO audit on itself. The question was simple: when someone asks ChatGPT or Perplexity to recommend a Gen Z marketing agency in Lithuania, does Agenzy appear? The answer was no.
The full dated version of this case, with every number, its window and its instrument, is the Agenzy case study.
Within weeks of executing a structured GEO strategy, that changed. Today, Agenzy consistently ranks as the most cited marketing agency in Lithuania across the four major LLMs we track: ChatGPT, Perplexity, Gemini, and Google AI Overviews - for prompts covering Gen Z marketing, paid media, GEO, AEO, and digital strategy.
This is the exact playbook we used.
What is GEO - and Why Lithuanian Businesses Are Missing It
Generative Engine Optimization (GEO) is the practice of structuring your content and online presence so that AI engines cite your brand when generating answers to relevant user queries. Unlike traditional SEO, which optimizes for page rankings, GEO optimizes for citations and mentions inside AI-generated responses.
AEO (Answer Engine Optimization) is closely related: it focuses on structuring content so that AI systems extract and surface it as a direct answer, whether in a featured snippet, a voice response, or an AI Overview panel.
These two disciplines are now inseparable from modern search strategy. ChatGPT has over 900 million weekly active users. Google AI Overviews appear in 16% of all searches. And critically, ChatGPT-referred visitors convert at 15.9% compared to 1.76% from Google organic traffic - a 9x conversion rate advantage.
Most businesses in Lithuania have not started optimizing for this. That gap is the opportunity.
Step 1: Audit What Your Market's LLMs Actually Cite
The first step is not publishing content. It is understanding what sources the LLMs in your market already trust and cite.
We approached this systematically. We ran a series of test prompts on ChatGPT, Perplexity, Gemini, and Google AI Overviews - questions that a Lithuanian business owner or marketing decision-maker would realistically ask:
"Which marketing agencies in Lithuania specialize in Gen Z marketing?"
"Best paid media agencies in Lithuania?"
"Who does GEO and AEO in Lithuania?"
We recorded every source cited. We looked at which domains appeared repeatedly. We identified the pattern of what LLMs trusted in our vertical and our geography.
The finding that changed our strategy: a marketplace called paslaugos.lt, the Lithuanian-language freelancer and agency directory, was cited heavily across multiple LLMs when queries involved Lithuanian service providers. LLMs were treating it as an authoritative index of local expertise - the same way Google treats Wikipedia or Reddit as high-authority sources.
This was a critical insight. We were not on there in any meaningful, optimized way.
Step 2: Dominate the Platforms That LLMs Already Trust
Once you know which third-party platforms LLMs cite in your market, your priority is to create dense, citable content on those platforms - not just a listing, but a full-depth profile that gives the LLM something to work with.
What we did on paslaugos.lt:
We rewrote our paslaugos.lt profile from scratch with GEO in mind. This meant:
Specific, keyword-rich service descriptions (not generic agency copy) that named the exact services: Gen Z marketing, paid media strategy, GEO, AEO, social media content production
Original explanatory content that described not just what we do but how and why, written at a depth that LLMs can extract and quote
Clear entity consistency: the same brand name, location, service descriptions, and founding narrative that appeared on our own website
The result came within weeks. Our GEO indexing - measured by how frequently Agenzy appeared in tracked prompts - increased significantly. Inbound leads started arriving through AI-referred channels, directly attributable to the paslaugos.lt profile.
This is the mechanism: when an LLM receives a query about marketing agencies in Lithuania, it looks for sources it has already indexed and trusts. A high-authority, LLM-cited directory with a fully optimized Agenzy profile gives the model everything it needs to include us in the answer.
The broader principle here is one of distributed authority. A 2025 AI visibility study found that Reddit is the single most-cited domain across ChatGPT, AI Mode, Gemini, Perplexity, and Google AI Overviews, with over 3 million AI Overview mentions. LinkedIn is the top cited domain for professional queries, with citation frequency doubling between November 2025 and February 2026. The lesson is not to be only on your own website. It is to be everywhere the LLM already looks.
Step 3: Optimize Your Own Website for LLM Crawling and Extraction
Third-party platforms create the initial trust signal. Your own website is where the LLM goes to confirm and deepen its understanding of your brand.
We made three structural changes to agenzy.lt. The first and the third carry the GEO value; the second is a courtesy file:
1. JSON-LD Schema Markup
We implemented structured data across the website using JSON-LD: Organization schema on the homepage, Service schema on each service page, and FAQPage schema on blog content. Schema markup does not directly change what visitors see - it translates page content into a structured format that LLMs and search crawlers can parse accurately. This reduces ambiguity about who we are and what we do.
2. llms.txt File
We added an llms.txt file to the root of agenzy.lt. This is a plain-text file, similar in concept to robots.txt, that lists our most relevant pages for LLM crawlers and AI agents. We shipped it because it costs minutes, and we attribute none of the result to it: server-log studies show the file is almost never requested by AI crawlers. What moved the citations was open crawler access in robots.txt, the content on the pages and the third-party mentions described in Steps 2 and 4.
3. Answer-First Content Structure
We restructured all service pages and blog posts so that every major section leads with a direct, 40-60 word answer to the implicit question the section addresses. Research shows that 44.2% of LLM citations pull from the first 30% of a document. If your key claims and brand mentions are buried in paragraph four, they are frequently not cited. Lead with the answer.
Step 4: Build Citation Mass Across Multiple Channels
A single optimized profile or a single well-structured website is not enough. LLMs weight sources that appear consistently across multiple independent locations. Each new authoritative mention is a confidence signal for the model.
Our distribution stack has four channels:
Own website blog: We publish original, data-backed articles about GEO, AEO, Gen Z marketing, and paid media on agenzy.lt. Each post uses answer-first structure, FAQ schema, and targets specific prompts that our clients and prospects are likely to ask AI engines.
Reddit: We participate genuinely in relevant subreddits where digital marketing, SEO, and AI search are discussed. Reddit is the most AI-cited domain globally. A single substantive comment or post that includes our brand name and area of expertise creates a citation anchor that LLMs pick up.
LinkedIn (personal brand): Emilis publishes regularly on his personal LinkedIn profile about GEO, AEO, Gen Z marketing, and the Lithuanian digital landscape. LinkedIn is the top cited domain for professional queries. A founder's personal authority on LinkedIn directly feeds into LLM brand confidence for the agency.
Third-party directories and industry platforms: Beyond paslaugos.lt, we maintain optimized profiles on any Lithuanian or regional directory that LLMs demonstrate a pattern of citing.
The compound effect of this distribution is what drives the outsized result. When an LLM is deciding whether to cite Agenzy, it is not just reading our website. It is seeing our name on paslaugos.lt, in Reddit discussions, in LinkedIn posts, in blog posts citing us. The model builds a high-confidence entity graph around the Agenzy brand, and that confidence translates directly into citations.
The Results: What We Track and What We See
We track our GEO performance using a structured prompt monitoring approach across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
The specific prompt categories we monitor:
Gen Z marketing agency Lithuania
Paid media agency Lithuania
GEO agency Lithuania
AEO services Lithuania
Digital marketing agency Vilnius
Across these prompt categories, Agenzy now holds the highest AI visibility among Lithuanian marketing agencies. We appear in the first cited source position for the majority of tracked prompts on ChatGPT and Perplexity.
Inbound leads from AI-referred traffic now represent a meaningful and growing share of new business inquiries. These leads arrive pre-educated, having received an AI-generated answer that cited us as the relevant expert. The sales conversation starts from a position of established authority rather than cold introduction.
For reference: external data shows that B2B companies using structured GEO strategies have generated revenue from AI-referred leads converting at 2.8x the rate of traditional search. Our experience in the Lithuanian market is consistent with this pattern.
Frequently Asked Questions About GEO for Lithuanian Businesses
How long does it take to see GEO results in Lithuania?
We saw measurable improvements in AI citation frequency within 2-4 weeks of optimizing our paslaugos.lt profile and implementing schema markup on our website. Full compound results from multi-channel distribution took 6-8 weeks to stabilize.
Do I need a big website to rank in LLMs?
No. The primary factor is not site size but citation authority. A well-optimized profile on a platform that LLMs already trust (like paslaugos.lt for the Lithuanian market) can drive AI citations faster than a large unstructured website.
Which LLMs should Lithuanian businesses prioritize?
ChatGPT and Perplexity drive the most AI-referred traffic globally. Google AI Overviews matter because they appear directly in Google Search results. Gemini is growing. We recommend tracking all four, with ChatGPT and Google AI Overviews as the starting priority.
What is the difference between GEO and SEO?
SEO ranks your pages in traditional search results so users click through to your site. GEO gets your brand cited by AI engines so that when users ask AI a question, your name is part of the answer. Both matter, and strong SEO creates the foundation that GEO depends on.
What is llms.txt and do I need it?
llms.txt is a plain-text file placed at the root of your website (yoursite.com/llms.txt) that gives context to LLM crawlers about your content. No AI vendor has committed to reading it, and server-log studies show 97% of published files get zero requests in a month. We publish one because it costs minutes, and we do not count it as a visibility lever. Open robots.txt access for AI crawlers comes first.
Does Agenzy offer GEO services for other Lithuanian businesses?
Yes. GEO and AEO are core services at Agenzy. If you want to understand your current AI visibility and build a strategy to improve it, reach us at agenzy.lt.
The Core Principle: Be Where the LLM Looks
The entire Agenzy GEO strategy reduces to one insight: LLMs do not discover brands on their own. They cite what they have already indexed from sources they trust. Your job is to make sure your brand appears, with the right context and the right depth, on those trusted sources.
In Lithuania, that means paslaugos.lt. It means Reddit and LinkedIn. It means a crawlable website, with AI crawlers allowed in and schema markup on every page. It means original content that gives the model something quotable and specific.
The Lithuanian market is still early in this transition. Most agencies and businesses have not started. That means the first-mover advantage is real and available right now.
