When someone asks ChatGPT "what's a good B2B growth agency for US companies expanding into LATAM?", some brand gets cited in the answer. If it's not yours, you've lost the top of the funnel before the prospect even knew they had a preference. Winning these citations is what Generative Engine Optimization (GEO) means in practice.
Traditional SEO aims at a high-ranking page. GEO aims at being the source a model synthesizes from. The mechanics are different. Here's what tends to work today.
How language models choose what to cite
ChatGPT with browsing, Perplexity, Google AI Overviews, and Claude all build answers by retrieving passages from across the web, ranking them by relevance and authority, and synthesizing them into a response. The citations you see in the answer are the sources the model trusted most.
Three things drive that trust: semantic match to the question, authority of the source domain, and structure of the passage. You generally need all three.
Structure: write passages models can extract
Language models prefer self-contained, extractable paragraphs. A good passage answers one specific question completely, without requiring context from elsewhere on the page. Think of every paragraph as a potential standalone citation.
“Passages between 40 and 120 words with a clear statement plus supporting evidence are cited 3.2x more often than longer unstructured content.”
Schema: machine-readable context
JSON-LD structured data isn't only useful for Google. Language models use schema to disambiguate entities and verify claims. At a minimum, every page you want cited should have Article, FAQPage, or HowTo schema plus an Organization schema that ties the page back to a real business.
- Article schema: good fit for thought leadership and long-form content
- FAQPage schema: highest citation rate for direct-question queries
- Organization schema: establishes the entity behind the content
- HowTo schema: good fit for procedural or tactical content
- Review schema: builds trust signals for recommendation queries
Authority: citations follow citations
Language models prefer sources that other trusted sources link to. Getting cited in Wikipedia, major industry publications, university research, and government pages creates a compounding effect. Each mention increases your citation probability on future queries.
This is where traditional PR and SEO converge with GEO. A guest article on a Tier-1 industry site does more than drive referral traffic. It signals authority the next time someone asks a question in your category.
The llms.txt file
An emerging convention is the llms.txt file at your site's root, which describes your content taxonomy for language models in structured markdown. It isn't a universal standard yet, but major AI crawlers are starting to use it to discover and prioritize content. Early adopters are already seeing citation lift.
Measuring GEO visibility
You can't optimize what you don't measure. Tools like Profound, Otterly, and AthenaHQ track how often your brand gets cited across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews for queries that matter to your business. Think of it as the AI-era equivalent of a keyword ranking tool.
The shift is real
Zero-click search has become the default for a growing share of queries. Brands that adapt their content strategy to be cited as well as clicked will tend to own the category conversation in 2026 and beyond. Everyone else is likely to keep wondering where their traffic went.
By
Margaret Genatios
Founder & Growth Strategist at GO Smartex