What Is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the discipline of optimizing your brand's visibility within AI-generated answers across platforms like ChatGPT, Google Gemini, Perplexity, and Claude. While AEO focuses on structuring individual content to be cited as a direct answer, GEO is broader. It encompasses how AI models understand your brand identity, authority, and relevance across every surface they pull from, including your website, social profiles, reviews, press mentions, and industry directories.
When someone asks an AI assistant "what companies should I consider for [your category]?" the system doesn't pull from a single page. It synthesizes everything it can find about your brand across the web and constructs a description. GEO is about making sure that description is accurate, favorable, and consistent with who you actually are.
The simplest way to think about it:
AEO makes your content citable. GEO makes your brand recommendable.
Why Does GEO Matter?
AI-powered platforms are increasingly where people start their research. Not just for quick facts, but for recommendations, comparisons, and decisions about which companies to work with. When a potential customer asks an AI assistant to recommend solutions in your category, the system constructs its answer from the sum of everything it knows about the brands in your space.
If your brand has a strong, consistent presence across the web, the AI can describe you accurately and confidently. If your presence is fragmented, contradictory, or thin, the AI either gets you wrong or leaves you out entirely. Neither outcome is good for your business.
This is a different challenge than ranking in search results. A brand can rank well in Google and still be invisible to ChatGPT. A brand can have excellent content on its own website and still be described inaccurately by AI systems because its LinkedIn page says something different, its directory listings are outdated, and its press coverage uses language from a previous era.
How Do AI Systems Form Their Understanding of a Brand?
Generative AI platforms build their understanding of a brand by synthesizing information from multiple sources across the web. Understanding this process is essential to optimizing for it.
The most underestimated factor in AI visibility isn't content quality, it's coherence. AI systems need to hear the same story from multiple independent sources before they'll repeat it with confidence.
They pull from everywhere
AI systems don't just read your website. They pull from your LinkedIn company page, Google Business Profile, industry directories, review sites, press coverage, partner listings, conference speaker bios, podcast transcripts, and anywhere else your brand is mentioned. Every one of these surfaces contributes to the AI's understanding of who you are.
They look for consistency
When multiple independent sources describe your brand the same way, the AI treats that description as reliable. When sources contradict each other, the AI's confidence drops. A company whose website says it specializes in enterprise software but whose LinkedIn page still describes it as a startup consulting firm is sending mixed signals that make the AI less likely to recommend it for either category.
They favor brands they can explain
AI systems prefer to recommend brands they can describe clearly. If your positioning is simple, specific, and consistently reinforced, you're easier for the machine to explain to the person asking. Vague or overly broad positioning makes you harder to recommend because the AI can't confidently say what you do or why you're worth considering.
They value third-party validation
A brand that describes itself as an industry leader is making a claim. A brand that is described as an industry leader by press coverage, customer reviews, and industry analysts is providing evidence. AI systems weigh third-party mentions more heavily than self-reported claims because independent sources are harder to manufacture and more likely to be reliable.
What Is a GEO Visibility Audit?
A GEO visibility audit evaluates how AI systems currently perceive and describe your brand. It involves querying platforms like ChatGPT, Perplexity, Google Gemini, and Claude with questions your customers would ask, then analyzing whether your brand appears in the responses, how accurately it's described, and where the gaps are.
The audit also examines the consistency of your brand description across all online surfaces. This is sometimes called a coherence audit. When your website, LinkedIn, directory listings, press releases, and partner pages all tell the same story, the AI's understanding is stable. When they tell different stories, the AI's understanding gets messy, and messy descriptions don't win recommendations.
Most organizations are surprised by the results. Brands that dominate their markets in the real world often discover that AI systems barely know they exist, because their online presence is fragmented, inconsistent, or too thin for the machine to form a confident understanding.
How to Get Started with GEO
1. Run the AI test
Open ChatGPT, Perplexity, Gemini, and Claude. Ask each one questions your customers would ask about your category, your region, and your services. Read the responses. Note whether your brand appears, how it's described, and which competitors are mentioned instead. This takes 15 minutes and it will tell you exactly where you stand.
2. Run a coherence audit
Catalog every online surface where your brand is described: your website, LinkedIn, Google Business Profile, industry directories, press releases, partner listings, review sites. Check whether they all tell the same story. If your website says one thing and your LinkedIn says another, that's the first thing to fix.
3. Align your messaging
Get your team to agree on a clear, specific description of who you are, what you do, and who you serve. Write it down. Then make sure that description appears, in similar language, across every surface the AI might pull from. This is the hardest and most important step because it requires internal alignment, not just content production.
4. Build third-party mentions
AI systems trust brands that are described by independent sources, not just by the brand itself. Guest posts, podcast appearances, press coverage, customer reviews, and industry directory listings all contribute to the AI's understanding. The more independent sources that reinforce your narrative, the more confident the AI is in recommending you.
5. Monitor and iterate
GEO isn't a one-time project. AI models update their understanding over time as they encounter new information. Run the AI test monthly. Track how your brand description evolves. Update your surfaces when your positioning changes.
Go Deeper
GEO is one of the three core disciplines covered in Explainable: Why AI Recommends Some Brands & Ignores Others by Jarred Smith. The book includes complete frameworks for running GEO visibility audits, coherence audits, and building a 90-day action plan tailored to your brand.
Test your content's AI visibility right now with the free AI Brand Visibility Analyzer.
Need help running a GEO audit for your organization? Jarred works directly with marketing teams through consulting, speaking, and workshops.