Generative Engine Optimization (GEO) is an emerging approach to content and communication strategy designed to improve a brand’s visibility in responses generated by AI tools such as ChatGPT, Claude, Gemini, and Google AI Overview.
While traditional SEO focuses on achieving high rankings in search engine results, GEO is concerned with whether AI systems can find, understand, and recommend your brand as a trustworthy source.
This article is based on a presentation by Lucie Geislerová (NEWTON Media) and Patrik Schober (PRAM Consulting) delivered at the Communication Summit 2026 in Prague on June 9. Their presentation explored how information search is evolving, why large language models are reshaping communication, and what this means for PR, media relations, reputation management, and AI visibility.
What Is Generative Engine Optimization (GEO)?
Generative Engine Optimization is the practice of optimizing content, reputation, and communication activities so that generative AI systems correctly interpret a brand and include it in their responses.
In simple terms, GEO addresses three key questions:
- How does AI talk about your company?
- Which sources does it rely on?
- Will it recommend your brand to users?
Where SEO aims to drive website traffic, GEO reflects a new reality: users increasingly receive complete AI-generated answers instead of lists of links. If your brand is absent from those answers, you lose visibility before users ever click on a website.
GEO vs. SEO: What's the Difference?
| SEO | GEO |
|---|---|
| Optimizes for search engines | Optimizes for AI-generated answers |
| Primary goal is website traffic | Primary goal is AI mentions and recommendations |
| Success is measured by rankings | Success is measured by AI visibility |
| Focuses on keywords and ranking signals | Focuses on context, credibility, and citeability |
SEO is not disappearing—it is simply being expanded by a new layer of digital visibility.
Why GEO and AI Visibility Matter
More and more people obtain information directly from generative AI instead of comparing multiple websites.
Rather than browsing search results, users increasingly rely on answers produced by ChatGPT, Gemini, Claude, or Google AI Overview.
If your brand does not appear in these responses, it loses visibility. If it is described inaccurately, it loses control over its own narrative.
This is why Generative Engine Optimization (GEO) and AI visibility measurement have become strategic priorities.
Communication professionals should ask two fundamental questions:
- How does AI describe our brand, products, and industry?
- Which sources is AI using?
The answers form the foundation of every GEO strategy.
AI Often Uses Unexpected Sources
AI Visibility audits conducted by NEWTON Media reveal that generative AI frequently relies on sources companies do not expect.
Rather than depending solely on corporate websites or major news outlets, AI models often draw information from:
- industry publications
- encyclopedic resources
- review platforms
- discussion forums
- community websites
- older articles that users would rarely encounter through traditional search
As a result, an outdated negative forum discussion may influence AI-generated responses, even if it no longer appears prominently in search results.
This does not mean brands should actively participate on every platform, such as Reddit. It does mean they should understand where conversations about their brand take place and whether those discussions affect their AI visibility.
Why GEO Restores PR's Strategic Importance
The PESO model (Paid, Earned, Shared, Owned) remains highly relevant in the AI era, although each channel contributes differently.
Large language models frequently rely on earned media, including:
- editorial articles
- expert commentary
- expert quotations
- industry research
- encyclopedic sources
Consequently, strong PR and media relations can directly influence how AI systems describe a brand.
Paid Media
Paid advertising, sponsored content, and influencer collaborations remain valuable but generally have less direct influence on AI-generated responses.
Earned Media Gains New Importance
Editorial coverage, expert insights, and credible journalism are among the most trusted sources for AI systems.
High-quality PR therefore becomes a strategic driver of AI visibility.
Shared Media
Social media platforms and online communities remain important channels for engaging audiences, although their influence on AI responses is often indirect.
Owned Media Remains Essential
Corporate websites, newsrooms, and blogs remain the authoritative source for a brand’s own narrative.
When this content is current, well-structured, and clearly written, AI systems are significantly more likely to use it.
How to Create GEO-Optimized Content
1. Develop a Clear Brand Narrative
AI should immediately understand:
- who you are
- what you do
- who you serve
- what makes you an expert
2. Structure Your Content
Use:
- H2 and H3 headings
- FAQ sections
- short paragraphs
- bullet lists
- explanatory content blocks
Well-structured content benefits both human readers and AI systems.
3. Publish Important Information Directly on Your Website
Key information should not remain hidden inside PDF documents. Priority content includes:
- press releases
- expert profiles
- case studies
- methodologies
- thought leadership articles
4. Support Claims with Data
AI favors information that can be verified.
Instead of saying:
„We are the largest and fastest-growing company.“
Provide measurable evidence such as:
„We operate in 12 markets and serve more than 2,500 clients.“
5. Keep Content Up to Date
Outdated content creates an information gap that AI may fill using less accurate or less relevant sources.
Regular updates help AI recognize that your brand remains active, relevant, and trustworthy.
6. Answer Real User Questions
Formats that perform particularly well include:
- FAQs
- how-to guides
- comparisons
- rankings
- explanatory articles such as „How to Choose…“ or „What to Do When…“
These formats are frequently referenced in AI-generated answers.
What Is an AI Visibility Audit?
Before implementing GEO, organizations need to establish a baseline.
An AI Visibility Audit answers questions such as:
- Does AI mention our brand?
- How visible are we compared to competitors?
- Which sources does AI rely on?
- Which narratives are associated with our brand?
- Are there any reputation risks?
- Do we lack content on strategically important topics?
Without measurement, AI visibility cannot be effectively managed.
GEO should be treated as an ongoing process:
Measure → Analyze → Adjust Strategy → Communicate → Measure Again
GEO and Reputation Management
GEO is closely connected with reputation management.
In traditional search, negative content could gradually be displaced by newer, more positive material.
In AI environments, older discussions and articles may continue influencing AI-generated responses even after disappearing from conventional search rankings.
Organizations therefore need to monitor not only traditional media and social platforms but also the sources AI systems actually use.
Understanding how AI gathers, interprets, and synthesizes information has become an entirely new discipline: AI Reputation Monitoring.
How to Get Started with GEO
Generative Engine Optimization is not a one-time website update or another SEO tactic.
It requires an ongoing strategy focused on content, reputation, and AI visibility.
1. Measure Your AI Visibility
Determine how ChatGPT, Gemini, Claude, and Google AI Overview describe your brand.
Questions to answer include:
- Do you appear in relevant AI responses?
- How often are you mentioned compared to competitors?
- What information does AI provide about your organization?
AI Visibility Audits and platforms such as Newton Visibility can provide these insights.
2. Identify AI Sources
Understanding why AI mentions your brand is just as important as knowing whether it does.
Potential sources include:
- industry media
- news publications
- corporate websites
- review platforms
- encyclopedic resources
- discussion forums
- community websites
Mapping these sources often reveals both opportunities and previously unnoticed reputation risks.
3. Evaluate Your Brand Narrative
Ask yourself:
- What stories does AI associate with our brand?
- How does it describe us?
- Are these descriptions accurate and aligned with our desired positioning?
The objective is not only greater visibility but also greater control over the narratives surrounding your brand.
4. Optimize Your Owned Media
Review whether your website, newsroom, and blog clearly communicate:
- who you are
- what you do
- your expertise
- your services
- your measurable achievements and references
Content should be current, consistent, and structured for both people and AI.
5. Strengthen Trusted Earned Media
Generative AI frequently references:
- editorial content
- expert articles
- professional commentary
- industry research
Therefore, high-quality PR and media relations have become even more strategically valuable.
Success is measured not by the volume of media coverage, but by the credibility and relevance of the sources AI trusts within your industry.
6. Monitor Continuously
The AI ecosystem evolves rapidly.
Sources change. Competitors change. AI interpretation changes.
AI visibility should therefore become an ongoing component of every communication strategy, with regular monitoring of brand visibility, AI responses, and emerging information sources.
If You Don't Tell AI Who You Are, Someone Else Will
Generative Engine Optimization is far more than a passing trend. It is a response to a fundamental shift in how people discover information and form opinions about brands.
In the age of generative AI, it is no longer enough to rank well in search engines. Organizations must also become understandable, trustworthy, and easily citable by AI systems. GEO helps ensure that your brand becomes part of the AI-generated answers that will increasingly shape the decisions of customers, journalists, and business partners in the years ahead.
➡️ Interested in an AI Visibility Audit? Contact the NEWTON Media team at sales@newtonmedia.eu.
FAQ about GEO
GEO stands for Generative Engine Optimization. It is about optimizing content and communication so that generative AI tools correctly understand and use the brand.
SEO optimizes content for search engines and rankings in search results. GEO optimizes content for generative AI responses. The goal of GEO is not just a click, but the correct inclusion of the brand within an AI-generated answer.
Because AI often draws on earned media, such as editorial, expert, and industry sources. Strong media relations can influence how AI describes a brand.
Without measurement, a company does not know whether AI mentions it, how it describes it, what sources it uses, or whether its reputation in the AI environment is developing in the right direction.
Yes. For smaller companies, GEO can be a significant opportunity because well-structured and relevant content can help them appear in AI responses even without large media budgets.
A company website is one of the key sources because it allows the brand to define its own narrative. However, it must be up to date, structured, consistent, and readable for both humans and AI tools.
Media and expert sources help AI verify and complement information about a brand. Earned media therefore gains new strategic value in the GEO era.
