GEO Ranking: Brand Visibility Audit
Compare how your brand ranks in OpenAI and Gemini search grounded answers.
Have you ever wondered how visible your brand actually is when someone asks AI a commercial question?
I kept running into this while working on GEO (Generative Engine Optimization) or AEO (Agentic Engine Optimization) strategies. Everyone talks about optimizing for agentic engines, but here's what I discovered: GEO is just SEO wearing a trench coat. The real challenge isn't getting found—it's staying relevant when AI agents start weighing dozens of contextual factors in their responses.
Why this matters (but not urgently)
When someone asks ChatGPT "What's the best project management tool for my remote team that's constantly context-switching between client work?", they're not keyword searching. They're describing a specific situation with constraints, preferences, and pain points. AI agents have to interpret all that context and decide which brands actually match—not just which ones have the best SEO.
Here's the thing though: this is still early. While estimates vary, AI referral traffic typically runs somewhere between 1/10th to 1/100th of organic search traffic. The conversion rates? They're all over the map. People are seeing higher conversion rates in tech, but other industries report the opposite.
Still, surveys suggest more than half of people expect to use AI for online shopping decisions. With global e-commerce hitting $6-7 trillion, even a small slice of influence represents serious money—if we can actually influence those AI recommendations.
So I built this tool to test something simple: where does your brand actually show up when AI agents answer commercial questions?
What I discovered building it
The tool runs the same AI models your customers actually use—OpenAI and Gemini—both grounded in fresh web search data. They're processing the latest information daily, just like ChatGPT and Gemini App do when someone asks them a purchasing question. The difference is you get to see behind the curtain.
Here's what you get when you test a query:
- Your brand's ranking position in each model's response
- Where in the answer your brand gets mentioned (top or bottom)
- What share of voice your brand has in the answer
Try it yourself
Pick a conversational query that sounds like something you'd actually ask. Instead of "best activewear brands," try "I need moisture-wicking workout clothes for hot yoga that don't show sweat stains and last through frequent washing." Or "What are some good performance running shoes for overpronators who need extra arch support?"
These natural, context-rich queries reveal how AI agents weigh different factors when multiple brands could work. If you want to optimize your content, you'll have to work a lot on those product schemas and catering to many user intents.
What to actually do right now
Nothing urgent. You probably have bigger problems in your business than AI citation rankings. This channel is tiny compared to what you're used to from SEO, and you'll have time to adapt if it grows.
But if you're curious—and I think you should be—start paying attention to what AI agents say about your industry. Ask them the questions your customers ask. See who gets mentioned and who doesn't. It's like the early days of search engine optimization: worth understanding, not worth panicking about.
This tool gives you a snapshot of where you stand today, but doesn't tell you how things change over time or how to improve. If you want to dig deeper into why your brand might be invisible, check out the geo-audit tool I published last week—it analyzes your website and gives specific recommendations for improving AI discoverability.
Ready to explore?
Head over to the App to see how OpenAI and Gemini rank your brand side-by-side, or use the Chat to dig into the research behind AI citation patterns. If you prefer to analyze this with your own agent, grab the llms.txt directly.