Generative Engine Optimization (GEO)

Stage One: AI Landscape and Competitor Analysis. The Webpromotion team begins with an in-depth study of how Google AI Overviews, ChatGPT, and Perplexity currently process your website's target queries in a given region (US, Europe, etc.). We take screenshots of AI responses, analyze which sources are selected, the order in which they are cited, and why the system favored these materials. We also examine the link and content profiles of competitors who dominate AI responses in your niche.

Using specialized tools, we create a database: which content types (guides, studies, case studies, FAQs) are most frequently cited, what is the average content depth in AI responses, and which structured formats (lists, tables, definitions) the AI ​​extracts most frequently. Competitor analysis reveals patterns in their success and pinpoints gaps where your brand can become a key source.

Stage Two: Content Strategy Development and Restructuring. At this stage, we identify the priority pages of your website and the queries that require visibility and targeted traffic. These could be category pages, problem-solving guides, or authoritative articles that match user search queries. Webpromotion creates or completely rewrites the content to meet GEO requirements: we begin with a precise answer to the question (40-80 words), then develop the topic into subsections that correspond to the clarifying questions the system includes in its response.

Each section is structured for easy retrieval: clean h2-h3 divs, paragraphs no longer than 120 words, and key data highlighted or presented in a table format. We include author information (who wrote it, the author's or company's qualifications), publication date, and last update date—all of which serve as authority signals for the AI. Content is developed with the American context in mind: data from US sources, examples from American case studies, and links to local resources.

Stage Three: Schema micro-markup implementation and technical optimization. We implement Organization with full company information, Person for content authors, and Article schema for each piece of content. We add FAQ, HowTo, Product, or Service elements depending on the content type. Each micro-markup type is tested to ensure AI systems can easily understand the information and convey it to users.

We also implement the llms.txt file—a sitemap for language models—which allows AI to quickly understand what's on your site and where. We check and update XML sitemaps, optimizing them for different content types (separate sitemaps for blog posts and posts, separate sitemaps for service pages, etc.). We ensure all pages are accessible to AI crawlers, and we check robots.txt and meta tags. Page load speed is also optimized, as AI systems prefer quickly retrieved content on site pages.

Stage Four: Monitoring, Testing, and Long-Term Management. After implementation, we begin daily monitoring your content's appearance in Google AI Overviews, as well as in ChatGPT and Perplexity search results for targeted queries. We track how often the system cites your content, which fragments are extracted, and how this impacts traffic from AI-based sources (separate from organic search). We maintain a log of all detected citations and analyze patterns: when the AI ​​chooses you over competitors and why.

Testing is ongoing. We introduce different wording and structures, add additional subsections, or expand and expand content, then monitor how this impacts the AI ​​citation rate. If the AI ​​algorithm is updated, we quickly adapt the GEO strategy. Throughout the campaign, we develop long-term relationships with AI platforms and their standard updates, ensuring your content remains relevant and visible in LLM systems.

The main goal of Webpromotion's GEO work is to ensure consistent visibility of your content in Google's generative LLM models and AI systems for your target audience. Building a reliable AI citation base signals generative systems that your brand is an authoritative, trustworthy source. This builds your reputation both among algorithms and among real users, who see your name in AI responses and begin to associate it with expertise.

Secondary goals include increasing traffic from AI sources (ChatGPT, Perplexity, etc.), which are typically highly motivated because users have already received an answer and are looking for additional context. Accumulating high-quality citations in AI creates a snowball effect: the system increasingly trusts your content and begins to cite you for related queries, expanding your visibility.

A critical goal is to protect against the volatility of AI algorithms. When your content becomes the standard source for a particular niche, algorithm updates are less likely to knock you out of the top ranks.

Implementing a professional GEO strategy leads to a visible increase in your content's appearance in Google's neural network results and neural networks over the course of several months.

Traffic from AI sources shows steady growth, often increasing by 40-60% per month for well-planned campaigns, especially in the early stages when competition is less intense. This traffic typically has a high conversion rate, as users coming from AI sources are already informed and looking for the source or deeper insights.

Visibility in Google AI Overviews grows more slowly but steadily, as Google continually expands the percentage of searches with AI-powered answers.

Furthermore, high-quality GEO protects against ranking losses during Google algorithm updates. Sites with high AI citation rates typically maintain their rankings and traffic better than competitors relying solely on traditional SEO. The long-term result is a competitive advantage that grows over time, ensuring a steady flow of high-quality traffic for months and years to come.