Generative Engine Optimization GEO what it is and how it works

Content

Generative Engine Optimization is a new field that emerged at the intersection of search technologies and artificial intelligence.

Understanding its principles and technologies makes it possible to adapt content for generative search systems that produce ready-made answers rather than just returning links.
In this section we will look at how GEO methods and algorithms actually work and why they are becoming critically important for modern promotion.
Let’s examine the key technological foundations and algorithms that underlie generative optimization.

GEO technologies and algorithms: what are they?

Illustration for the section 'GEO technologies and algorithms: what are they?' in the article 'Generative Engine Optimization GEO what it is and how it works'

Generative Engine Optimization is based on integrating content with generative neural network algorithms and LLMs that generate answers to user queries in real time.

Modern search engines use technologies such as ChatGPT, DeepSeek, Gemini, GigaChat, YandexGPT, where content is ranked not only by keywords but also by expertise, structure, sources, and semantic completeness.

The COREDO team implemented projects where optimization for LLMs included:

  • creation of expert knowledge blocks,
  • integration of generative systems’ APIs,
  • adaptation of legal terminology for AI.
AI assistants in information search now determine which content will appear in neuro-answers and which will go unnoticed.

Search engine ranking and neuro-answers

Illustration for the section 'Search engine ranking and neuro-answers' in the article 'Generative Engine Optimization GEO what it is and how it works'

To appear in search engine neuro-answers, it is necessary to take into account the specifics of how AI answer blocks are formed:

  • structured data for AI (Schema.org, JSON-LD),
  • links to authoritative sources in generative SEO,
  • completeness of topic coverage taking user intent into account.
COREDO’s practice has shown that law firms that have integrated structured data and expert links receive up to 60% more impressions in Google and DeepSeek neuro-answer blocks.

In generative optimization, the transparency of sources, the relevance of content for LLMs, and compliance with new quality standards play a key role.

Differences between GEO and traditional SEO: what you need to know

Illustration for the section 'Differences between GEO and traditional SEO: what you need to know' in the article 'Generative Engine Optimization GEO what it is and how it works'

  • Focus on semantics and expertise, not just keywords.
  • The need to integrate GEO into corporate SEO strategy: classic methods (link building, technical optimization) are complemented by generative content optimization.
  • The influence of AI ranking algorithms on brand visibility.
COREDO’s solutions for law firms in the EU and Asia include integrating GEO with classic SEO, which ensures steady position growth and inclusion in search engine neuro-answers.

Scaling SEO by region

Illustration for the section 'Scaling SEO by region' in the article 'Generative Engine Optimization GEO what it is and how it works'

Scaling SEO with GEO is possible thanks to automation and the use of APIs for generative optimization.

The scalability of AI-enabled SEO strategies allows law firms and AML projects to quickly adapt to new search engine requirements.

COREDO implements generative optimization tools that provide steady growth in visibility and conversions in Europe and Asia.

Thus, automation and generative technologies are becoming key drivers of SEO scalability in different regions, which is directly related to the need to account for GEO risks and legal nuances.

Implementing GEO into a business strategy: practical tips

Illustration for the section 'Implementing GEO into a business strategy: practical tips' in the article 'Generative Engine Optimization GEO what it is and how it works'

Implementing GEO into a business strategy opens up new opportunities for growth and competitive advantage: generative optimization increases a brand’s visibility to neural networks and allows you to take key positions in digital search results. Below are practical tips and a step-by-step plan for implementing GEO, adapted to the specifics of the European, Asian, and CIS markets.

Step-by-step plan for implementing GEO in Europe, Asia, and the CIS

  1. Audit the current SEO strategy and identify growth points for GEO optimization.
  2. Analysis of generative search engines’ and LLMs’ content requirements.
  3. Creation of structured data and expert knowledge blocks.
  4. Integration of generative systems’ APIs to automate content optimization.
  5. Monitoring GEO effectiveness and adjusting the strategy in real time.
The COREDO team carried out similar projects for company registration in the EU and obtaining financial licenses, ensuring rapid growth in visibility and brand trust.

How to scale SEO with generative AI

Scaling SEO with GEO requires the integration of generative neural networks and automation of content optimization.

COREDO uses APIs and generative optimization tools to rapidly scale projects in Europe and Asia, providing sustained growth in visibility and trust.

Managing reputational and legal risks in GEO

  • Assessment of GEO’s ethical and legal aspects.
  • Data protection and compliance with GDPR, AML, and KYC requirements.
  • Monitoring reputational risks and rapid response to negative neuro-answers.
COREDO’s solutions allow minimizing risks and ensuring stable business development amid digital transformation.
Thus, compliance with ethical and legal standards becomes an integral part of effective business management in the digital age and creates a foundation for implementing practical recommendations for entrepreneurs.
LEAVE AN APPLICATION AND GET
A CONSULTATION

    By contacting us you agree to your details being used for the purposes of processing your application in accordance with our Privacy policy.