Generative Engine Optimization (GEO) is content optimization to improve visibility in search engines that use artificial intelligence when generating answers to user queries. In particular, ChatGPT, Gemini and Perplexity.
GEO does not work without basic SEO. It is basic optimization that is responsible for the technical health of the site and its visibility for search engines. It is a prerequisite for the content to appear in the field of view of AI at all. In combination with GEO, SEO helps to attract even more organic traffic. With the development of generative AI models, SEO services are becoming the key to a stable presence in the digital environment.
Entering the market and making a statement
Increasing brand awareness
Increasing website traffic
Stable demand for the product
Consolidation in the minds of customers
Advantage over competitors in the market
During AI website optimization, we conduct in-depth analytics and technical preparation of the resource, identify queries that can be answered by AI platforms, and create content that is understandable to both humans and artificial intelligence models. AI optimization also involves high-quality GEO link building and work on brand reputation on the network. All this will help your site effectively compete in generative AI responses.
We examine how site structure, content relevance and uniqueness, and metadata affect ranking in AI search results. An internal audit helps you understand what needs initial site optimization.
We analyze the current link profile and donor quality and study user behavior. It provides insight into where traffic to the site is coming from and demonstrates the best promotion channels.
We assess ease of navigation and mobile adaptation. We check content relevance, metadata and loading speed, and identify broken links and code errors to improve the user experience.
2.
For GEO-optimization, the technical correctness of the site is as important as for classic SEO. As part of the technical audit, we conduct a full check of the internal part of the site to identify and eliminate all critical errors, including:
- analyze the indexing of the site pages in both Google and Bing;
- configure the site map, robots.txt file, redirects and pagination;
- analyze internal links, their logic and performance;
- diagnose HTML errors and duplicate pages;
- check the correctness of meta tags and content structure;
- check micro-markup, as it plays an important role in the accurate understanding of content by crawler bots.
4.
The strategy will include the necessary work that will be carried out to optimize the site, such as technical optimization, adaptation of the site structure to AI, content strategy, link profile strategy, work with reputation, etc. In addition, we form a list of topics and queries that your site should be associated with to be visible in the new type of search.
6.
We adapt texts to the new requirements of search engines and AI services. In particular, we implement:
- structuring materials (design of headings, lists, tables) for better perception by AI and people;
- writing people-first content that responds to real user queries;
expanding the topic based on common LLM questions;
- adding expertise through links to authoritative sources (e.g., Wikipedia, research, statistics);
- optimization for long-tail keywords for more accurate coverage of search intentions;
- visual reinforcement of content through unique infographics, screenshots, graphs and other relevant images.
8.
We work on building a natural link profile: we place mentions on thematic and trust platforms, and integrate the site into niche selections and ratings (for example, «10 best services» or «best companies in the industry»), which are actively taken into account by generative systems when forming answers. Through Bing Webmaster Tools, we analyze competitors' backlinks and increase links from authoritative donors that affect the ranking in ChatGPT. It allows us not only to increase the authority of the site but also to strengthen its position in AI issues.
1.
We analyze the competitive environment and the presence of the site in generative results. As part of the GEO analysis, we:
- check whether the site or brand is mentioned in generative results;
- implement traffic tracking from generative platforms in Google Analytics;
- analyze competitors who are already present in generative results, their content and structure;
- study the topic and how it is presented in LLM results;
- determine what types of content, formats and mentions contribute to getting into generative blocks.
3.
We check how well the current site structure corresponds to the queries and information clusters that are often used in the generative search. If necessary, we suggest creating new pages to cover topics and queries that are not currently described. We analyze the level of page nesting, and navigation logic, and provide recommendations on the optimal site structure to improve visibility in LLM issues.
5.
At this stage, we form a semantic core, focused not only on classic search engines but also on generative models. We select keywords and phrases, in particular, taking into account how this data will be perceived and used by LLM algorithms. We collect both traditional keywords and phrases that are often found in the responses of AI models, in particular information requests, questions, and natural language formulations.
7.
For generative systems, brand mentions online play a key role in building trust in a resource. They take into account mentions on forums, reviews, social networks, media, and other UGC (user-generated content) platforms. Such information helps AI assess the expertise, reliability, and reputation of a brand.
An active presence in the external environment and a positive image in the digital space contribute to increasing the visibility of a website in LLM responses and the formation of brand associations with relevant topics.
1.
We analyze the competitive environment and the presence of the site in generative results. As part of the GEO analysis, we:
- check whether the site or brand is mentioned in generative results;
- implement traffic tracking from generative platforms in Google Analytics;
- analyze competitors who are already present in generative results, their content and structure;
- study the topic and how it is presented in LLM results;
- determine what types of content, formats and mentions contribute to getting into generative blocks.
2.
For GEO-optimization, the technical correctness of the site is as important as for classic SEO. As part of the technical audit, we conduct a full check of the internal part of the site to identify and eliminate all critical errors, including:
- analyze the indexing of the site pages in both Google and Bing;
- configure the site map, robots.txt file, redirects and pagination;
- analyze internal links, their logic and performance;
- diagnose HTML errors and duplicate pages;
- check the correctness of meta tags and content structure;
- check micro-markup, as it plays an important role in the accurate understanding of content by crawler bots.
3.
We check how well the current site structure corresponds to the queries and information clusters that are often used in the generative search. If necessary, we suggest creating new pages to cover topics and queries that are not currently described. We analyze the level of page nesting, and navigation logic, and provide recommendations on the optimal site structure to improve visibility in LLM issues.
4.
The strategy will include the necessary work that will be carried out to optimize the site, such as technical optimization, adaptation of the site structure to AI, content strategy, link profile strategy, work with reputation, etc. In addition, we form a list of topics and queries that your site should be associated with to be visible in the new type of search.
5.
At this stage, we form a semantic core, focused not only on classic search engines but also on generative models. We select keywords and phrases, in particular, taking into account how this data will be perceived and used by LLM algorithms. We collect both traditional keywords and phrases that are often found in the responses of AI models, in particular information requests, questions, and natural language formulations.
6.
We adapt texts to the new requirements of search engines and AI services. In particular, we implement:
- structuring materials (design of headings, lists, tables) for better perception by AI and people;
- writing people-first content that responds to real user queries;
expanding the topic based on common LLM questions;
- adding expertise through links to authoritative sources (e.g., Wikipedia, research, statistics);
- optimization for long-tail keywords for more accurate coverage of search intentions;
- visual reinforcement of content through unique infographics, screenshots, graphs and other relevant images.
7.
For generative systems, brand mentions online play a key role in building trust in a resource. They take into account mentions on forums, reviews, social networks, media, and other UGC (user-generated content) platforms. Such information helps AI assess the expertise, reliability, and reputation of a brand.
An active presence in the external environment and a positive image in the digital space contribute to increasing the visibility of a website in LLM responses and the formation of brand associations with relevant topics.
8.
We work on building a natural link profile: we place mentions on thematic and trust platforms, and integrate the site into niche selections and ratings (for example, «10 best services» or «best companies in the industry»), which are actively taken into account by generative systems when forming answers. Through Bing Webmaster Tools, we analyze competitors' backlinks and increase links from authoritative donors that affect the ranking in ChatGPT. It allows us not only to increase the authority of the site but also to strengthen its position in AI issues.
Using GA4, we track which LLM platform traffic comes from, which pages it goes to, and what conversions it brings. We also analyze brand mentions in generative search results, identify the most effective wording, and reinforce them in content to improve the search experience and the quality of AI search engine optimization.
What clients say about us
The Lanet CLICK team combines many years of experience in SEO with a thorough understanding of generative search. Our SEO AI services involve optimizing content according to LLM algorithms used in artificial intelligence. Thanks to this, your site has a better chance of getting into the answers of AI systems.
We regularly update AI SEO strategies of companies based on analytics, report on the results and adapt the approach to your business goals. Lanet CLICK will help you improve visibility in traditional search, attract the target audience and consolidate expertise in the digital space.
Go to SEO
AI is transforming digital marketing. Without adapting content to Google AI Overviews and GPT neural networks, businesses are missing out on new traffic channels. GEO allows you to get into the responses of neural networks and be visible to future users now.
Adapting to AI systems is relevant for everyone who is online, from e-commerce to B2B services. If your customers are looking for answers in AI platforms, you should be among those that these neural networks mention.
Generative search is implemented in GPT models (e.g. ChatGPT), Google AI Overviews, Gemini, Perplexity, Bing Copilot, and others. Optimizing for these systems is a new vector in digital marketing and SEO.
GEO does not replace classic SEO but rather enhances it. It takes into account semantics, expertise, and the naturalness of content to be visible in neural network responses. It is an effective complement to traditional promotion.
Optimizing a website for AI platforms is an ongoing process, just like traditional promotion. The first results may appear in 1-3 months, but consistently appearing in GPT or Google AI Overviews requires systematic work.
The price depends on the scope of work, the competitiveness of the niche, and the number of platforms for which optimization is performed. GEO is part of a comprehensive strategy in digital marketing, so the cost is agreed upon individually.
SEO performance for Chat GPT is measured by several metrics, namely: organic traffic growth, site mentions in neural network responses, behavioral metrics (view depth, time on site), and return clicks from platforms using LLM. Chat GPT SEO involves analyzing how often and in what context your content is used in AI responses.
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Classic SEO focuses on ranking a site in Google search results, focusing on keywords, technical optimization, usability, and link building. GEO aims to ensure that a site is included in the responses of generative neural networks and AI systems, such as ChatGPT, Bing Copilot, or Google AI Overviews. GEO pays more attention to context, naturalness of text, expertise, and content structure. It is an extension of SEO for new traffic channels focused not only on search engines but also on generative platforms.
Generative search results work using LLMs, such as GPT. They don’t just show links like classic search engines, but generate full-fledged answers to queries, based on the analysis of millions of sources – from websites and blogs to knowledge bases and social networks. Algorithms take into account not only the relevance, logic of presentation, naturalness and expertise of the content but also external signals: brand mentions, links from authoritative sources, user-generated content (UGC) and reputation factors. Therefore, to get into the AI answers, it is important for a business to have a digital presence of its brand, as well as for the site to be structured, have a clear semantic core and answer the user’s query as accurately as possible.
To adapt to generative search, businesses need to review both their internal and external approaches to promotion. First of all, shift the focus to expertise, reliability and clarity of information presentation. It is necessary to optimize texts for GPT-like models, ensure the structure and logic of materials, avoid template phrases, and add real examples, facts and explanations. It is important to monitor new output formats, in particular Google AI Overviews, Bing Copilot and ChatGPT, and update the GEO strategy in accordance with changes in the digital environment.
Generative algorithms also analyze external signals, so it is worth working on brand mentions in the media, receiving links from trusted resources, and stimulating UGC – reviews, discussions, and reposts. The active presence of a brand in the digital environment strengthens its authority and increases the chances of being mentioned in the responses of AI systems.
In the future, GEO will become the standard for digital marketing. With the development of AI assistants such as ChatGPT, Bing Copilot or Google AI Overviews, users will increasingly prefer answers generated by a neural network rather than directly from websites. Brands that are the first to implement GEO will gain a competitive advantage. New tools are expected to appear for tracking mentions in AI answers, as well as an increased focus on content quality, credibility and analytics. The future of SEO is a synthesis of generative optimization and deep content marketing.
A good strategy, perfectly selected digital tools, and their effective application will allow the business to increase profits, grow the customer base, and form recognition and loyalty. Do you want something like that? Contact us.
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