Development · Design · Promotion

Generative Engine Optimization (GEO) Services

Adapting your website for RAG algorithms. We position your brand in direct answers and recommendations on ChatGPT, Perplexity, and Google AI Overviews.

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Since 2011in web development

895+ projectsdelivered for businesses

In-house teamUX/UI · Development · SEO · PPC

Development + promotionwe keep growing your site after launch

Business Challenges Solved by Generative Engine Optimization

Capturing Zero-Click Traffic

Users get direct answers from AI models without clicking standard search links. GEO embeds your website directly into these answers as an authoritative source.

AI Reputation Management (AI-SERM)

Shaping the right context around your brand. We ensure that when users ask for recommendations, AI systems suggest your company over competitors.

Generating MQL/SQL Leads

Traffic from ChatGPT and Perplexity has a high conversion rate, as users engage with highly specific commercial or research intents.

What is included in the GEO service

Content adaptation for RAG systems

Restructuring pages: implementing FAQ blocks, comparison tables, lists, and definitions that are easily extracted by neural network parsers.

Technical markup and entity semantics

Implementing Schema.org (JSON-LD) microdata, creating the llms.txt manifest, and building semantic clusters for conversational user queries.

Strengthening E-E-A-T signals

Boosting domain authority through cited research, verifying author profiles, and end-to-end integration with knowledge bases (Wikidata, industry directories).

GEO features for different niches

IT and SaaS products

Structuring features and pricing through tables. Markup of technical documentation, API instructions, and changelog files for correct parsing by LLM models in software selection queries.

B2B services and consulting

Implementing the problem-solution framework in case studies. Markup of company expert quotes and integration of terminology to appear in neural network answers for analytical queries.

YMYL (medicine, finance, law)

Linking content to verified author profiles. Markup of links to official registries, regulations, and evidence bases to pass the safety filters of generative systems.

Evidence base: AI visibility metrics

What you get in the monthly project report

Brand mention dynamics

Charts showing the change in website citation frequency across Perplexity, ChatGPT, and Google AI Overviews. Calculation of Share of Voice relative to competitors.

Generative search screenshots

Examples of content integration into LLM answers for commercial intents. Demonstration of recommendation blocks with active website links.

AI traffic analytics

Summary of referral traffic from chatbot web interfaces. Tracking zero-click reach via log analyzers and web analytics systems.

GEO service packages and pricing

GEO Audit

AI Visibility Assessment

490 EUR

Collecting semantics for RAG systems. Checking current brand visibility in LLMs. Mapping clusters and creating technical specifications for page restructuring.

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Core package

GEO Architecture Setup

Setup

990 EUR

Implementing Schema.org microdata and the llms.txt file. Restructuring text blocks into FAQ, table, and list formats. Integrating E-E-A-T triggers on target pages.

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Monthly GEO Retainer

Retainer

790 EUR/mo

Monthly monitoring of Share of Voice in AI search results. Building an external entity profile on trusted platforms. Adapting new pages to generative search algorithm updates.

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How the AI adaptation process works

AI visibility and semantics audit. Parsing ChatGPT, Perplexity, and Gemini answers for commercial queries. Determining the brand's current Share of Voice and identifying the sources the algorithms choose to cite.
Technical architecture and markup. Implementing Schema.org microdata (FAQ, Article, Dataset) and creating the llms.txt manifest. Cleaning HTML code of redundant scripts to accelerate crawling by AI bots (GPTBot, PerplexityBot).
Text block adaptation. Restructuring content on landing pages. Organizing information through lists, comparison tables, and direct answers for precise context capture by RAG algorithms.
External citation and E-E-A-T. Placing company and author profiles on Wikidata, industry directories, and trusted platforms. Building a digital footprint of the entity to pass the trust filters of generative models.

The project involves

Project Manager

Leads the project from audit to report: agrees on priority pages and the prompt set for monitoring, keeps implementation on schedule, and shows the brand's visibility dynamics in AI answers every month.

GEO Analyst

Researches LLM search patterns. Collects generative semantics and tracks the brand's Share of Voice in neural network answers.

Content Architect

Designs page structure for RAG systems. Transforms text into FAQ, table, and list formats for precise extraction by AI parsers.

Developer

Implements Schema.org (JSON-LD) microdata and the llms.txt file. Optimizes HTML code and works with the Knowledge Graph to strengthen E-E-A-T.

FAQ

How does GEO differ from classic SEO?

SEO works with keywords and links to gain positions in SERP. GEO works with entities, facts, and data structure for direct brand citation in LLM answers.

What is the timeframe for results?

Technical architecture implementation takes 2-4 weeks. Changes in AI answers depend on model update cycles (indexing by ChatGPT or Perplexity typically takes 1 to 3 months).

How is GEO effectiveness tracked?

Through regular monitoring of brand mentions (Share of Voice) in neural network answers to target prompts, analyzing referral traffic from chatbots, and tracking zero-click metrics.

Do we need to rewrite the entire website?

No. Optimization focuses on priority entry points: service pages, FAQs, pricing, and analytical articles that match conversational user intents.

Is there a guarantee of getting into ChatGPT answers?

Generative output is dynamic and depends on the query context. We guarantee the implementation of technical standards (RAG adaptation, llms.txt, microdata) that maximize the probability of citation by algorithms.