There is a real estate company in Lithuania that everyone knows. Market leader. Dominant brand. Years of trust built with clients. But open ChatGPT or Perplexity right now and ask which real estate agency to use in Lithuania. Their smaller, less experienced competitors appear first.

This is not a rankings glitch. It is not temporary. It is the result of five technical and content decisions the market leader never made — and five decisions their competitor did.

We have tracked over 1,900 AI-engine conversations in the Lithuanian market through our GEO monitoring tools. What we see again and again: brand size and product quality have almost no relationship to AI visibility. The brands getting recommended are not the best. They are the most technically prepared and most cited. That gap is exactly what this checklist closes.

One more data point before we start. One of our own pages ranks at position 1 on Google for a commercial keyword with 147 monthly impressions. It receives zero clicks. Google's AI Overview now answers that question directly, before a single user needs to visit any website. If traditional SEO is your only strategy, you are optimizing for a channel that is shrinking while the AI channel grows unchecked.

Generative Engine Optimization (GEO) is the practice of making your brand recommendable inside ChatGPT, Perplexity, Gemini, and Google AI Overviews. This checklist covers exactly what to do, in order of impact.

Step 1: Make Your Website Technically Readable for AI Crawlers

The short answer: Add an LLMs.txt file, audit your robots.txt, and fix your basic on-page structure. Without these, AI engines either cannot access your site or cannot make sense of what is on it.

Most businesses have spent years optimizing for Google. They have never once thought about whether AI crawlers can access and understand their content. These are fundamentally different systems with different crawling behavior, different parsing logic, and different criteria for what makes a page worth citing.

What to do:

• Add an LLMs.txt file. Place it at yourdomain.com/llms.txt. This is the AI equivalent of robots.txt. It tells large language models which content on your site they are permitted to read, reference, and cite. Without it, many AI crawlers default to skipping your site entirely. The LLMs.txt specification is open, documented, and takes under an hour to implement.

• Audit your robots.txt right now. Go to yourdomain.com/robots.txt and confirm you are not accidentally blocking AI crawlers. Security plugins and CDN configurations frequently add blanket disallow rules that cut off LLMs without anyone noticing. The crawlers to specifically check for: GPTBot (OpenAI), Google-Extended (Google AI), PerplexityBot, ClaudeBot.

• Fix your on-page structure. Every page needs one clear H1 heading. Meta titles and descriptions must be filled in across every URL. Page speed must be acceptable. These are not just Google signals. They are the signals AI engines use to determine whether a page is structured and trustworthy enough to extract and cite.

The real estate market leader was missing all three of these. Their smaller competitor had all three in place. That is the entire explanation for why the competitor now appears first in AI results. Technical setup is the unglamorous work that decides everything else.

Pro tip: After adding LLMs.txt, run your site through Perplexity's search and check whether your pages start appearing as cited sources within a few days. This is a fast signal that crawlers are reading your content.

Step 2: Find the Domains AI Engines Trust in Your Industry

The short answer: Every industry has specific websites, forums, and publications that AI engines already treat as authoritative. Identify those domains and get your brand mentioned on them. Being on the wrong platforms wastes time. Being on the right ones changes your AI visibility within weeks.

This is the most underestimated step in GEO. Most businesses assume they need to be everywhere. They do not. They need to be on the specific platforms that AI engines are already reading and citing for their topic.

What to do:

• Run your own citation audit first. Open ChatGPT, Perplexity, and Gemini. Ask the exact questions your potential customers ask when researching your product or service category. Look at every source cited in the answers. Those are the domains you need to appear on. Run 10 to 15 different prompts. The same three to five domains will keep appearing. Those are your targets.

• Do not assume Reddit is the answer. Reddit is cited across many industries and appearing there helps. But most industries have platforms that carry significantly more weight for AI recommendations specifically. A Lithuanian business community like Verslogenis, a niche industry directory, a specialized trade publication, a regional news outlet. These domain-specific citations consistently drive more GEO lift than Reddit alone.

• Prioritize the highest-authority publications you can realistically reach. A single mention in Forbes, TechRadar, or a well-cited industry publication moves AI visibility more than dozens of smaller citations combined. In Lithuania, editorial coverage in 15min.lt or Delfi carries real authority weight, particularly for Lithuanian-language queries.

• Use a prompt tracking tool for ongoing monitoring. Manual citation audits show you the landscape today. A dedicated tool tracks which domains are being cited for your target topics week over week, so you can see movement and measure impact. If you want to know which domains matter most for your specific industry, our GEO service maps this for you.

This step is exactly what allowed Agenzy to become the most cited marketing agency in Lithuania on ChatGPT and Perplexity before most Lithuanian agencies had heard the term GEO.

Pro tip: When you find a domain that AI engines cite heavily in your industry, look at what type of content from that domain gets cited most: forum threads, long-form guides, or news articles. Match that format when you create or earn content on that platform.

Step 3: Add Real Content to Your Website

The short answer: Minimal, aesthetic websites are invisible to AI engines. If there is no text describing what you do and why you are good at it, AI engines cannot recommend you. This is the most common GEO mistake we see — and the most avoidable.

A business invests in a premium website with polished design, minimal copy, and strong visuals. It looks exceptional to humans. To AI crawlers, it is close to empty. There is nothing to extract, nothing to cite, nothing to use as the basis for a recommendation.

What to do:

• Write detailed service pages. Not a tagline. A real explanation of what you do, who you do it for, what the process looks like, and what the outcome is. AI engines extract this content when deciding whether to recommend you for a specific query.

• Publish case studies with specific results. Real clients, real challenges, measurable outcomes. Case studies are among the most cited content formats in AI responses because they give AI systems concrete, verifiable information to present with confidence. One strong case study does more for your GEO than ten generic blog posts.

• Create comparison and list-based content. "How we compare to X," "best options for Y in Z," "what to look for when choosing a provider in this space." These formats match exactly how AI engines structure their recommendations to users. Write in the format you want to be cited in.

• Add practical how-to guides related to your field. Educational content signals to AI engines that your site is a reliable information source, not just a sales page.

• For aesthetic-first websites, use clickable content panels. You do not need to sacrifice the design. Show a sofa photo. Make it clickable. When tapped, a panel opens with the full description: materials, dimensions, production origin, care instructions. The text exists on the page for AI crawlers to read and extract. The visual experience stays clean for human visitors. AI engines can only recommend what they can read — give them something to work with.

Pro tip: Structure your content the way AI engines present information: lead with the direct answer, then explain. A page that starts with "Our service does X for Y clients" is far more extractable than one that buries the answer in paragraph four.

Step 4: Get Your Pages Indexed in Google Search Console

The short answer: Published content that is not indexed does not exist. Submit every new page manually in Google Search Console to get it indexed within hours rather than waiting weeks for the automatic crawl.

This step sounds basic. It is also the most consistently skipped. We regularly see businesses publishing blog posts and waiting for traffic that never arrives, simply because Google has not yet discovered and indexed the page. In that window, a competitor who published a worse piece of content but indexed it immediately is already accumulating impressions, clicks, and AI citations.

What to do:

• Submit every new page manually through URL Inspection. In Google Search Console, open the URL Inspection tool, paste your new page URL, and click Request Indexing. Google will crawl the page within hours rather than days or weeks. This single action compresses what should be a two-week wait into a same-day result.

• Audit your full index status regularly. GSC shows you exactly which pages are indexed and which are not, with specific reasons for any failures. Any page flagged as not indexed is invisible to search engines and AI systems regardless of its content quality.

• Fill in meta titles and meta descriptions for every page without exception. A page without a meta description is harder for both Google and AI engines to classify. This applies equally to blog posts, service pages, case studies, and your homepage.

• Monitor Core Web Vitals and page speed. GSC surfaces performance issues automatically. Pages with poor load times get deprioritized in crawl schedules, reducing how frequently they are re-indexed and how often they surface in AI retrieval systems.

Think of Google Search Console as your GEO control panel. The data inside it tells you what is working, what is broken, and where your content is gaining or losing visibility. Logging in once a week takes ten minutes and keeps you ahead of indexing failures before they become visibility problems.

Pro tip: When you request indexing on a new page, check back in GSC after 48 hours to confirm the page was successfully crawled and indexed. Occasionally a page will fail indexing due to a technical issue. Catching this early saves weeks of lost visibility.

Step 5: Track the AI Traffic You Are Already Getting

The short answer: Set up tracking in Google Analytics and Microsoft Clarity to see how many visitors arrive from AI engines and what they do on your site. You cannot optimize a channel you cannot see.

Most businesses currently have zero visibility into AI-driven traffic. They cannot prove GEO is generating results. They cannot identify which pages are converting AI visitors. They cannot see whether someone who arrived from ChatGPT is reading the whole page or bouncing immediately. This is a blind spot that is easy to close.

What to do:

• Set up AI referral tracking in Google Analytics. Traffic from ChatGPT, Perplexity, Gemini, and other AI engines arrives as referral traffic with identifiable source domains: chat.openai.com, perplexity.ai, gemini.google.com. Create a custom segment that groups these sources so you can monitor AI-driven visits as a distinct channel, separate from organic search and direct traffic. If you run a Shopify store, this data is also available natively in your analytics dashboard.

• Install Microsoft Clarity. Clarity is free and provides session recordings and heatmaps. When a user arrives from ChatGPT, you can watch exactly what they do: which sections they read, how far they scroll, whether they click your CTA or exit. This is how you learn whether AI traffic is genuinely high-intent and what changes on your pages would convert it more effectively.

• Add a dedicated GEO monitoring tool for upstream visibility. Google Analytics tells you about traffic after it arrives at your site. A tool like Peec AI tells you how often your brand is being mentioned inside AI engine responses before any user clicks through. This is your AI Share of Voice — the GEO equivalent of Search Console impressions. It shows brand mention frequency, sentiment scores, competitor Share of Voice, and which specific prompts are driving your AI visibility.

Without tracking, every other step on this checklist is guesswork. With it, you can see exactly which GEO actions are producing results and double down on them.

Pro tip: Tag your AI traffic in Google Analytics with a named segment called "AI Referrals" and check it weekly alongside your organic search segment. When GEO starts working, you will see AI referrals climbing while the quality metrics (time on page, pages per session, conversion rate) often outperform standard organic traffic — because AI-referred users arrive with high intent and specific context.

Do This in Order

The sequence matters. Technical issues block everything downstream. If AI crawlers cannot access your site, your content and your citation strategy are irrelevant. If your pages are not indexed, your freshly written content is invisible. If you have no tracking, you will not know whether any of it is working.

Most businesses are at zero on at least three of these five steps. That is the gap. The brands appearing in ChatGPT and Perplexity today are not the best in their market. They are the ones who treated AI visibility as a priority before their competitors did.

To understand how AI engines decide which brands to recommend and which of these five steps will move the needle fastest for your specific industry, book a call with Agenzy. We run AI visibility audits across your competitor set and build the exact strategy your brand needs to get recommended.

Frequently Asked Questions

What is GEO optimization?
GEO (Generative Engine Optimization) is the practice of making your brand visible and recommendable inside AI-powered answer engines such as ChatGPT, Perplexity, Gemini, and Google AI Overviews. It is distinct from traditional SEO, which targets rankings in Google's standard search results.

How long does GEO take to work?
Technical fixes — LLMs.txt, robots.txt corrections, indexing — can show results within days as AI crawlers re-index your site. Content and citation building typically produces measurable lift in AI visibility within four to eight weeks, depending on industry competitiveness.

What is LLMs.txt?
LLMs.txt is a plain text file placed at the root of your website that tells large language models which content they are permitted to read and cite. It functions similarly to robots.txt but is designed specifically for AI systems rather than traditional search crawlers.

How do I know if my brand is being recommended by AI engines?
You can test manually by running relevant prompts through ChatGPT, Perplexity, and Gemini. For systematic tracking across hundreds of prompts and multiple AI engines simultaneously, a tool like Peec AI monitors brand mentions, Share of Voice, and citation sources automatically and continuously.

What is the difference between SEO and GEO?
SEO optimizes for ranking in traditional search results on Google and Bing. GEO optimizes for being recommended and cited inside AI-generated answers. Both matter in 2026. Brands that ignore GEO are invisible to the growing share of users who bypass search engines entirely and ask AI directly.

Can I do GEO without a large content budget?
Yes. The technical steps — LLMs.txt, robots.txt, GSC indexing — are free and take a few hours. Content can start with a single well-optimized service page and one detailed case study. Start there and expand based on what your tracking data shows is working.

Does GEO replace SEO?
No. GEO and SEO work together. Content that ranks well on Google tends to get indexed by AI engines. Content optimized for AI citation tends to be structured in a way that also improves organic rankings. The two reinforce each other when done correctly.

Emilis Zabilius is the founder of Agenzy, a GEO and AI marketing agency based in Vilnius, Lithuania. Agenzy tracks brand visibility across AI engines for clients across Lithuania and internationally.