Before discussing prices, it is worth understanding exactly what these terms mean. Most confusion comes from the fact that providers often call the same work by different names.

SEO — Search Engine Optimization

Traditional search engine optimization includes tasks such as:

• Technical SEO and ensuring indexability
• Keyword and search-intent analysis
• Content optimization and search-friendly structure
• Internal linking and website architecture
• Building authority and external links
• Improving organic conversions

AEO — Answer Engine Optimization

Answer Engine Optimization focuses on making a company’s content easy to interpret and use as a direct answer. This includes:

• Creating a question-and-answer structure
• Clear definitions and concept explanations
• FAQ content and structured answers
• Entities and related concepts
• Structured data — Schema markup
• Content that can be interpreted by Google AI Overviews
• Concise, citable answer blocks

GEO — Generative Engine Optimization

The goal of GEO is to increase the chance that a company, expert or piece of content will:

• Appear inside generative answers
• Be displayed as a source
• Receive brand mentions
• Become a recommended provider
• Connect to relevant topics and entities

The first and most important clarification: there is no single official market tariff. International agency pricing guides published in 2026 show significant variation, reflecting the heterogeneity of the services.

But these prices should not be copied mechanically into Hungary. Pricing depends on several factors:

• The competition level of the country and language
• The size and complexity of the website
• The amount and depth of content
• The number of AI platforms tested — ChatGPT, Gemini, Perplexity, Copilot, Google AI
• The number of prompts and buyer questions
• Whether you receive only an audit or implementation as well
• PR and authority-building requirements
• Multilingual or multi-market operations

This is the question most decision-makers want answered. The eight pillars below form the foundation of a professional, full-scale AI search visibility program.

1. Initial AI visibility audit

There is no strategy without diagnosis. The analysis should examine:

• For which questions does the brand currently appear?
• For which questions is it completely missing?
• Which competitors are recommended instead?
• Which sources do AI systems cite?
• What incorrect information appears about the company?

2. Technical SEO

AI optimization cannot rescue a technically broken website. If search crawlers cannot crawl and index the site, AI systems are unlikely to reference it either.

3. Entity building

The relationships must be made clear:

Company → Service → Expert → Market → Location → Target audience → Proof

4. Buyer-question research

Do not simply collect keywords — identify real buyer questions. For example:

5. Content clusters

You do not need ten disconnected AI articles, but an interconnected knowledge system. Building clusters creates topical authority, which is essential for both Google and AI systems.

6. Structured data

Implementation of Organization, Person, Article, Service, FAQ and other relevant Schema elements that help AI systems interpret the content.

7. External authority

Optimizing the company’s own website is usually not enough. Digital PR, expert mentions, credible links and independent sources must also be built.

8. Measurement and monitoring

AI visibility cannot be measured purely by Google rankings. A specialized KPI system is required.

Instead of focusing only on the exact amount, it is more useful to define service levels — this makes it easier to compare what you receive for the price.

The growth level is the recommended standard company model for businesses that take their AI-powered search visibility seriously. It provides the continuity and expertise required for durable results.

If you have just received a proposal and do not understand why it costs what it costs, the seven factors below will help you see more clearly.

This is where you should be strict. In the SEO and AI search market, there are many services that look cheap but are actually a waste of money — or worse, harmful to long-term visibility.

The decision question should always be: “What business problem does this amount solve?” — not simply “how much does GEO cost?”

A real search visibility project should not be treated as a one-off campaign. Durable results require time and consistency.

The question should not be: “How much does it cost per month?” It should be: “How much business value must it generate to pay for itself?”

If a B2B company’s average customer value is several million forints, gaining just one additional relevant client may cover a significant part — or even all — of the monthly marketing investment.

In 2026, companies should not argue about whether they need SEO, GEO or AEO. All three are parts of the same new search system.

A good provider:

• Measures the baseline
• Improves the technical foundations
• Structures the content
• Builds content and authority
• Continuously remeasures results

A bad provider:

Gives an old service a new name and charges an AI premium — while the substance of the work does not change.

Frequently Asked Questions