How much does a website from LYVECA AI cost?

LYVECA AI has two website tiers plus standalone services. Studio is €1,490: an AI-built website with the AI-readable layer (schema.org, AI crawler permissions, llms.txt), a strategy call, and AEO content optimization, delivered in 5–7 days. Premium is €2,990: everything in Studio plus an embedded AI Agent, custom design direction, two extra revision rounds, and one month of free maintenance. For existing websites: AI Visibility Audit €90 and AI Visibility Upgrade €890. Add-ons: AI Agent (Layer 02) €1,490 setup; MCP Integration (Layer 04) €1,890. Monthly care plans from €99.

How long does it take LYVECA AI to build a website?

Layer 01 (AI-built website): 5–7 days from briefing to live. Layer 02 add-on (embedded AI agent): +3–5 days. Layer 03 basics are included in every Layer 01 build with no extra time. Full MCP Server integration: +2–4 weeks.

What is AI visibility (AEO / GEO)?

AI visibility – also called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) – is a website’s ability to be read, understood and recommended by AI tools like ChatGPT, Perplexity and Claude. When customers ask AI for “the best X in Bratislava”, the AI answers from sites it can parse and trust: crawler access, structured data, answer-shaped content and third-party mentions decide who gets named. LYVECA builds this layer into every website and offers it for existing sites as the AI Visibility Upgrade (€890).

Is AI visibility (GEO) replacing SEO?

No – it complements SEO. Classic SEO gets you ranked in a list of blue links; GEO/AEO gets you cited or recommended inside AI-generated answers, where there is often just one recommendation instead of ten results. The fundamentals overlap (crawlability, structured data, good content), so work done for AI visibility usually strengthens classic SEO too.

Why does AI visibility matter for my business?

Because customers are already asking AI instead of Google – and AI gives one or two recommendations, not ten blue links. If AI cannot read your website, you are simply not in the answer: the customer never learns you exist and a competitor gets named instead. Being visible to AI is the new being on the first page of Google – except the recommended business takes almost all of the attention.

An AI agent is software built on a language model that does not just answer questions but takes actions for its user – it can browse websites, compare offers, fill in forms and book services. ChatGPT, Claude and Perplexity are all adding agent modes, which means a growing share of a website’s visitors are no longer people but agents acting on a customer’s behalf.

What is the agentic web?

The agentic web is the web as used by AI agents acting for people: instead of a person reading ten websites, their agent reads them, compares the offers and completes the task – books the appointment or requests the quote. For a business website this changes the job description: it must be readable to agents (structured data, clean content) and ideally actionable by them (MCP), so an agent can choose you and act – not just look.

What is an agent-friendly website?

An agent-friendly website is structured so AI agents like ChatGPT, Perplexity, and Claude can read, understand, and cite it – not just human visitors. This includes AI crawler permissions in robots.txt (explicitly allowing GPTBot, ClaudeBot, PerplexityBot), Schema.org JSON-LD (structured business data AI engines can reference), answer-shaped content, and llms.txt as a light extra for AI agents and IDE tools. The premium tier adds MCP Server integration, which lets AI agents call the site as a tool – booking meetings, getting pricing, checking availability – without a browser.

What is the difference between Layer 01, Layer 02, and Layer 03?

Layer 01 is the build layer: custom websites built with AI tools (Claude Code, Next.js) in 5–7 days instead of 4–6 weeks. Layer 02 is the intelligence layer: an embedded AI agent on the website that qualifies leads, answers questions, and books meetings 24/7 without a human. Layer 03 is the visibility layer: making the site readable and citable by AI search engines like ChatGPT, Perplexity, and Claude – so the business appears in AI-generated answers, not just traditional search results.

Does LYVECA AI work with clients outside Slovakia?

Yes. LYVECA AI is based in Bratislava, Slovakia, and serves clients globally. All collaboration is remote. The founder, Soňa Mášová, has a background in security consulting at global enterprises, and works in English, Slovak, and Czech.

What is Next.js and why does LYVECA build on it?

Next.js is a web framework built on React by Vercel – the same technology behind the websites of companies like Nike and OpenAI. We build on it for one main reason: it renders full HTML on the server by default, so AI crawlers and search engines receive the complete content without having to run JavaScript. That matters because AI crawlers (GPTBot, ClaudeBot, PerplexityBot) do not execute JavaScript – a site that assembles its content in the browser is effectively invisible to them. Next.js also gives every build fast load times, optimized images, self-hosted fonts, and lets the whole AI layer – the visibility check, the agent, the MCP server – run in the same project as the site itself.

Which AI crawlers should a website allow?

At minimum the search-facing AI crawlers: GPTBot and OAI-SearchBot (OpenAI / ChatGPT), ClaudeBot and Claude-SearchBot (Anthropic), PerplexityBot, and Google-Extended (Gemini). Many sites block them by accident – security plugins and CDN defaults often treat them as scrapers. If robots.txt has no rules for them they are allowed by default; blocking them removes the site from AI answers entirely.

Why does Schema.org matter for AI visibility?

Schema.org JSON-LD is the machine-readable fact layer of a website – organization, services, real prices, FAQ – that AI engines can quote verbatim. Honest nuance: studies show adding schema alone does not lift citations; it makes you eligible by telling AI exactly who you are and what you sell, so the facts it cites are correct. It works together with answer-shaped visible content, never instead of it.

Why does a website need an RSS feed in 2026?

In 2026 server-log studies the RSS/Atom feed is the endpoint AI bots fetch most – roughly 40% of their requests – because it is the cheapest way to learn what is new on a site. Feeds also carry publish dates, and most AI citations point to pages updated in the last 90 days. Every LYVECA build ships with a feed; this site’s own is at lyveca.com/rss.xml.

What is MCP server integration?

MCP (Model Context Protocol) is Anthropic's open standard for connecting AI agents to external tools and data. An MCP server on a website exposes its functionality as callable tools – so an AI agent like Claude can book a meeting, retrieve pricing, or check availability directly, without opening a browser. LYVECA AI offers full MCP integration as Layer 04 (AI-actionable) for €1,890.

What is llms.txt and why does it matter?

llms.txt is a plain-text file at the root of a website (like /llms.txt) that summarizes the site for AI tools – the AI equivalent of a README. Honestly: 2026 server-log studies show AI search crawlers barely fetch it yet, so on its own it will not get you into ChatGPT answers. We include it as a cheap extra for AI agents and IDE tools that do read it – what actually earns citations is crawler access, structured data and answer-shaped, citable content.

How does the Care Plan (€99 / month) work?

Care keeps the website healthy so the owner never has to think about it: uptime monitoring, software and security updates, and ongoing checks, handled for you. Honest terms from a one-operator studio: automated monitoring watches 24/7 and alerts immediately, a human responds by the next business evening (under 24 hours) and fixes are delivered within 48 hours. The first month of Care is included with every Studio and Premium build.

How does the AI Visibility Plan (€249 / month) work?

It includes everything in the Care Plan, plus the monthly work that actually earns AI citations: keeping site content fresh, Google Business Profile optimization with a review-generation system, directory listings and third-party mentions (most AI recommendations cite third-party sources), and a monthly report tracking AI-crawler visits, indexed pages, reviews and AI citations. Honest expectation: citations typically take around 90 days to appear – the report shows the leading indicators moving from month one.

Can you make an existing website AI-visible without a rebuild?

Yes – that is the AI Visibility Upgrade (€890): in about a week the existing site gets the full AI-readable layer – crawler access, structured data, answer-shaped key pages, feed and indexing – with no redesign and no migration. The best start is the AI Visibility Audit (€90), which shows exactly what is missing; the audit fee is credited against the Upgrade if you proceed.

Who is Soňa Mášová?

Soňa Mášová is an AI web studio founder based in Bratislava, Slovakia. She is a former security consultant with experience at global enterprises, now building at the intersection of AI, web development, and design. Contact: sonamasova@lyveca.com. Book a call using the contact form on lyveca.com.

What is an AI-readable website?

July 6, 2026 · Soňa Mášová · LYVECA AI · Bratislava · Čítať po slovensky →

An AI-readable website is one that AI systems – ChatGPT, Perplexity, Claude, Google’s AI Overviews – can parse, understand and cite.It’s the difference between existing in AI answers and not existing at all. Roughly 47% of Google searches now end in an AI answer before any click, and more than half of web traffic is bots and agents, not people. This guide covers the four components, how to test any site in 20 seconds, and what to fix first.

The four components of AI readability

1. AI crawler access (robots.txt)

AI engines send their own crawlers: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended. Many sites block them without realizing – some security plugins and CDN defaults treat them as scrapers. If they can’t get in, nothing else matters.

2. llms.txt – the README for AI

A plain-text file at your root (like robots.txt) summarizing who you are, what you sell, prices and contact. Honest status in 2026: server-log studies show AI search crawlers barely fetch it yet, so it is a cheap extra for AI agents and IDE tools – not the thing that earns citations. See a live example: lyveca.com/llms.txt.

3. Schema.org structured data (JSON-LD)

Machine-readable facts embedded in the page: Organization, Services, Offers with real prices, FAQPage. Structured, stat-dense content measurably lifts the odds of being cited by AI engines – concrete facts are what AI quotes.

4. Answer-shaped content

AI lifts the first one or two sentences of a section. If the direct answer to a buyer’s question isn’t in sentence one – question as heading, answer first, detail after – the AI moves on to a site where it is.

How to test any website in 20 seconds

We built a free checker that fetches exactly what an AI crawler reads and scores it 0–100: lyveca.com/check. For context: most business websites we’ve measured score under 50/100 – including web agencies. (This site scores 100/100, and yes, the checker itself is callable by AI agents over MCP.)

DIY or done for you

Everything above is doable in-house if you have a developer and a content writer – budget a few days of combined work. If you don’t: our AI Visibility Upgrade (€890) retrofits all four components onto an existing site in about a week, on any stack – WordPress, Shopify, custom – with a before/after score. It starts with a €90 audit (credited against the Upgrade) showing exactly what AI sees and says about your business today.

Want the 20-second version first?Run your site through the free checker – then book a free 30-minute call and we’ll walk through your score live.

FAQ

What is an AI-readable website?

An AI-readable website is one that AI systems like ChatGPT, Perplexity and Claude can parse, understand and cite. Technically it means four things: AI crawlers are allowed in robots.txt, Schema.org JSON-LD provides structured facts, key pages are written so a direct answer appears in the first sentence, and an llms.txt file summarizes the business in plain text as a light extra.

What is llms.txt?

llms.txt is a plain-text file at the root of a website (like robots.txt) that acts as a README for AI: who the business is, what it offers, prices, and contact. It gives language models a reliable, token-efficient summary instead of forcing them to guess from HTML. Honestly: 2026 server-log studies show AI search crawlers barely fetch it yet – treat it as a cheap extra for AI agents and IDE tools, not a citation lever.

How do I test if AI can read my website?

Use the free checker at lyveca.com/check – it fetches exactly what an AI crawler reads (robots.txt, llms.txt, structured data, meta, sitemap) and scores the site 0–100 in about 20 seconds. You can also ask Perplexity or ChatGPT to “summarize the website yourdomain.com” and see if the answer is accurate.

Does AI readability replace SEO?

No – it extends it. Classic SEO gets you ranked in Google’s blue links; AI readability (AEO – Answer Engine Optimization, closely related to GEO – Generative Engine Optimization) gets you quoted and recommended inside AI answers, which now conclude roughly 47% of Google searches before any click happens. Sites need both layers.

Slovak readers: AI viditeľnosť webu – kompletný návod · Koľko stojí webstránka v 2026?