In the GEO era, online searching no longer means typing a query into a classic search engine field. Today, questions are just as often asked directly in ChatGPT, Microsoft Copilot or Perplexity, and event classic search engines like Google are now displaying AI summaries in their search results before classic link lists, shaping brand perceptions long before a user ever clicks on a link to a company’s website. 

That means: In 2026 brand visibility is determined by more factors than organic SEO rankings. The key questions are: Does my brand appear in Large Language Model (LLM) responses, is it accurately represented there, and which narratives do AI systems construct in their responses? That is precisely where Generative Engine Optimization (GEO) comes in. 

What does GEO mean in 2026? 

GEO consolidates all efforts to optimally prepare content for AI search interfaces under one umbrella. In this context, goals for brand should include high findability, correct thematic classification, and frequent, prominent, error-free citation in LLM responses and AI overviews. 

When generating responses for AI overviews, Google still relies on web sources through existing crawling mechanisms. That means in order for AI models to register content in the first place, there must first be a solid technical SEO foundation: AI bots need unhindered access, and the website must be stable and free of indexing restrictions. 

With this basis, the focus can shift to content-specific factors. As research has shown – most notably the research paper “GEO: Generative Engine Optimization” – targeted editorial and structural adjustments are the primary way of increasing visibility in generative AI responses. 

Trust as currency: AI loves earned media 

AI systems filter information according to clear authorship, topicality and reputation. All criteria that Google summarizes under the E-E-A-T principle: Experience, Expertise, Authoritativeness, Trustworthiness. 

And these are areas where PR and communication really shine by making sure that real reputation grows beyond a company’s own (owned) channels. Google’s Quality Rater Guidelines emphasize that genuine trust is created through an assessment of expert third parties: Mentions and links in specialist media, by analysts, professional associations, or citable studies are the strongest external signal for LLMs to use specific content as a trustworthy reference. PR is therefore a direct, strategic lever for ensuring AI visibility. 

Thinking of content as “verifiable building blocks” 

In order for AI models to extract and cite statements without errors, content must be structured as modular, verifiable information building blocks, focusing on: 

• Unambiguity: Clear naming of entities (products, technologies, brands). 
• Evidence: Verifiable facts, supported by authoritative primary sources and/or figures. 
• BLUF Principle (Bottom Line Upfront): The key message is placed at the beginning of a paragraph to avoid loss of context during information extraction. 
• Structured Data: Schema.org serves as a machine-readable additional signal and, according to Google, must accurately represent visible content. 
• Formatting: Formats such as FAQs, lists, tables, and compact paragraphs make information easier for AI to process. 

These best practices are the logical continuation of best practice specialist communication under new technological circumstances. 

PR and earned media as drivers of GEO 

Brands with solid technical articles, expert interviews, independent product tests, studies or clean solution webpages provide readers with added value, and LLMs with building blocks for their responses. 

Current figures underscore the importance of communication work in this context. A recent analysis of millions of AI citations shows that around 95 percent of the sources used by AI tools come from unpaid media. An analysis by Hard Numbers and Onclusive further demonstrates how strongly earned media drives AI recommendations – the report shows a direct correlation between PR success and LLM rankings: Brands in the top decile in terms of media influence are recommended by LLMs in 80 percent of cases, while companies with a low PR presence do not even reach the 50 percent mark. 

GEO proves effectiveness of classic PR communication 

AI-supported systems are increasingly acting as target groups, intermediaries and multipliers all at once, which is why communication that takes both people and AI into account strengthens the impact of classic PR work significantly. For brands, GEO upens up the opportunity to remain visible in times of new search and response behavior by users, by using tools that have long been established in professional communication work: Relevant content, smart positioning, clear messages, reliable sources, and a strategic, holistic approach towards all communication channels. 

Those brands who rely exclusively on classic SEO in 2026 will still be found, but those who nurture GEO will be actively recommended by AI. In this context, GEO is becoming a cross-functional responsibility in the field of corporate communications. When planning PR strategies or marketing campaigns, it is essential to consider the data traces these specific measures leave in AI-based search and response systems. 

GEO improves the influence and impact of established communication work: Media relations, thought leadership and corporate publishing now pay off twice: They convince a human target audience and simultaneously feed the knowledge graphs of LLMs. Compelling stories and reliable sources create added value for readers and provide quotable building blocks for algorithms. 

GEO services provided by Schwartz PR 

Schwartz PR’s GEO taskforce has developed an agile GEO framework to support its clients, already in use in practice: 

• Systematic Inventory: How do LLMs ccreate answers for industry topics and brands? Which narratives and sources are primarily used to do so? 
• Content and Structure Audit: How can owned and earned content be refined for AI systems – for example, through FAQs or more precise terminology? 
• Continuous GEO Optimization: New PR formats designed for both humans and AI from the outset, from whitepapers to executive profiles. 
• Monitoring: We make changes in the AI systems’ responses visible and move to counteract them. 

PR-focused monitoring of LLMs currently fills a gap, while platforms such as Microsoft and Google are just starting to roll out dedicated AI citation metrics in their webmaster tools.