Developing a strategy for promotion in AI

Increase trust in your brand, product, or company and attract new clients with a GEO-strategy that makes your content cited in AI responses!

In simple terms, what is a GEO-strategy and why does a business need it

GEO-strategy (AI promotion strategy) is a systematic action plan aimed at ensuring that a brand, product, or company appears and is regularly cited in responses generated by AI models (ChatGPT, Perplexity, Copilot, and others).

Unlike SEO, where the main goal is to achieve high positions in search results, GEO focuses on the brand’s presence directly in AI-generated answers and user recommendations.

What results will I get from an AI search promotion strategy?

1. Increased brand visibility

• • content appears in AI responses

2. Increased trust

• • AI often cites authoritative sources and evidence, which builds consumer trust in the brand, product, or company

3. Competitive advantage

• • firstly, companies that start developing GEO promotion early will secure strong positions in a new effective channel, where conversion rates are currently much higher than in classic SEO
  • secondly, high-quality and up-to-date content has a much greater chance of being cited in AI responses than outdated competitor materials

4. Increased traffic, conversions, and sales

• • users who see mentions of a brand, product, or company in AI responses are more likely to click the link and convert directly on the website

What are the main stages of a GEO-strategy (generative engine optimization)? 

Analysis of AI citations and knowledge gaps:

• citation analysis, including frequency and sentiment (tone of mentions in AI responses)
• analysis of competitor citations and sources referenced by AI (e.g., Wikipedia, Reddit, review platforms, industry directories, media resources, etc.)
• comparison with competitors
• identification of “blind spots,” “hallucinations” – for example, free delivery exists, but the AI response does not mention it or states “no data”; detection of false or outdated information

What does the final AI promotion strategy look like?

Experience, approach, and USP

We not only work with GEO-strategies and AI solutions but also systematically develop the SEO direction. We optimized pages for GEO search and implemented dozens of successful website promotion cases.

our own AI-based startup — CompetAI

• optimized the service page for GEO search
• implemented many successful SEO promotion cases

1. SEO promotion of the website, creation and optimization of textual content for Doctor Vardaev’s Clinic

Result: the site ranks in TOP positions in local search results

2. Comprehensive SEO for the website, including analysis, usability improvements, keywords, tags, texts, and much more for the company Vohnetryvnyk – a large refractory supermarket

Result: within a year, achieved leading position by keyword coverage in TOP‑10 search results, organic traffic growth +80%, brand query clicks growth +100%

3. Comprehensive SEO for Baloven – an online store for baby products

Result: organic traffic growth +782%, brand query clicks growth +261%

What strategies help get into AI reviews and responses?

1. Entity Optimization Strategy

Unlike SEO, AI does not “think” in keywords but works with objects and the relationships between them – entities:

• building a Knowledge Graph – organizing data so that it forms a network of nodes and edges, which Google and LLM models can use to generate more “intelligent” answers
• Entity Association Optimization – in the context of SEO and Knowledge Graph, this is the process of selecting attributes with which the brand should be associated (for example: “innovative,” “reliable,” “creative”)

2. Content GEO-Strategy

This strategy includes not only a content plan but also guidelines for adapting content for machines (Natural Language Processing), to increase the chances of being cited and included in AI responses.

• Creating a content plan based on analysis of AI search responses according to a list of key questions
• Question-Answer format: developing page structures with clear and concise questions and answers, where the main idea, key solution, and conclusion are presented upfront following the BLUF principle (Bottom Line Up Front). This gives the user quick understanding of the content and increases the likelihood of appearing in “quick answers” in AI
• Scenario planning: creating dialogue scenarios (e.g., “Compare product A and B” or “Develop an action plan for…”) and producing content tailored to these dialogues
• “Statistics and Facts” Strategy: enriching content with unique data, tables, figures, and infographics. AI platforms often cite such content as evidence

3. Machine-Readable Strategy

This is presenting content in a way that generative AI systems and large language models (LLMs) can easily read, interpret, and use in their responses.

Key principles of content presentation:

• structured: using standardized data formats (JSON, XML, RDF)
• markup usage: schema.org / FAQPage, HowTo, Product, Organization
• clarity: minimizing ambiguity in wording
• context window optimization: the volume and layout of content should be such that algorithms can process it effectively

4. Off‑Page GEO Promotion Strategy

This refers to managing the external information environment of the brand – how it appears outside its own website or platform, so that generative systems (ChatGPT, Gemini, Copilot, etc.) use this brand as an example in their responses.

• Authoritative sources: external mentions of the brand and expert content – presence in major media outlets, authoritative niche websites, blogs, research, interviews, scientific articles, industry portals
• Social mentions: strengthen brand associations in social networks, blogs, forums, and online communities
• Trust signals: markers of brand authority and reliability (critically important for GEO):
  • reviews and ratings: positive feedback on relevant platforms (Google Reviews, Trustpilot, G2, Capterra, etc.)
  • transparency: availability of contact details, privacy policies, security certificates, etc.
  • visual markers: partner logos, certification marks, “official partner,” “SSL protection,” etc.
  • expert content: analytical articles and reviews, guides and instructions, case studies, statistics and research, white papers
• Associative Rescue: a strategy for managing brand attributes in AI responses to strengthen desired associations and replace unwanted ones.
  

• Sentiment Management: creating a positive information field, improving the tone of mentions

What content formats are most often cited by AI?

1. Comparative format

AI models often provide comparisons even if the user did not ask for them – therefore, content in the form of comparison tables works very well. It is important to include a table title, for example: “SEO vs GEO – which is more effective?”

2. Clear formulations and conceptual explanations

• A short, clear statement (1-2 sentences) explaining the concept
• Followed by a detailed explanation of the concept

3. Action algorithms / Step‑by‑step guides (How To)

• Structured numbered steps with short, clear descriptions of actions and results (1‑3 sentences)
• Preferably with visual elements

This format is also effective for SEO promotion, meaning such optimization solves two tasks at once.

4. Frequently Asked Questions (FAQ)

The text should anticipate the user’s question (problem) and provide the answer (solution); length – 1‑3 sentences

SEO effect – well indexed by search engines, especially when using schema.org/FAQPage markup

5. Analytical data and research

• Original research or analysis
• Figures and references to verified sources
• Trends based on analytical data and sources

Developing a GEO strategy (AI promotion) – make your brand cited in ChatGPT, Perplexity, and AI search, and gain more clients!