Over a billion queries flow through ChatGPT every day. When someone asks "What's the best [your category] for [my situation]?" — are you in the answer?
You've probably wondered about this. Maybe you've typed your company name into ChatGPT to see what it says. But that doesn't tell you how you compare to competitors, or why the model recommends what it does, or what you can actually do about it.
We built a research report that answers these questions. We simulate 200 real customer conversations with AI — the kinds of questions your buyers actually ask — and measure how often you're recommended, where you rank, and crucially, why you're being left out.
Everyone's talking about "GEO" — Generative Engine Optimization. But most of what you'll find is vague thought leadership, overpriced dashboards, or AI-generated content farms that make the problem worse. This is different: a document you can read and act on.
What you get
A 30+ page analysis of how AI models perceive your company compared to your competitors. Not a dashboard. Not a subscription. A document you can read, understand, and act on.
Section I: About the Methodology. We explain exactly how we test AI perception — no black boxes. You'll understand what the numbers mean and why this matters for your business.
Section II: Your Scorecard. We identify your top 5 competitors automatically, then run 200 simulated customer conversations — 100 with web search enabled, 100 without. You get hard numbers: mention rate, average ranking, times you placed #1, and how you stack up against every competitor. The gap between "with search" and "without search" tells you whether this is an SEO problem or a deeper GEO problem.
Section III: Deep Analysis. This is where it gets interesting. We ask the AI why it didn't recommend you. We probe for objections, analyze patterns across all 200 conversations, and identify exactly what's holding you back. Is it unclear positioning? Lack of authoritative content? Missing from key queries? You'll know.
Specific Recommendations. Based on the data, we tell you what to do. What content to create. What pages to build. What messaging gaps to fill. Actions tied directly to the queries where you're losing.
The honest truth about GEO
Before you buy anything, you should know:
90% of GEO is just good SEO. The models use web search. They're trained on web content. If your SEO is bad, your GEO will be bad. There's no magic trick that bypasses fundamentals.
The other 10% is genuinely different. The base model — before it searches — has knowledge baked into its weights from training. Influencing that is different from SEO, and it's where "GEO alpha" exists. We measure both: what the model knows natively, and what it finds via search.
No one fully understands why models say what they do. Not even the labs that train them. We can measure, we can probe, we can make educated recommendations. But anyone claiming to have cracked the code is overselling.
AI-generated content is counterproductive. Here's the irony: the more "AI-optimized" content floods the web, the less valuable it is for training. Models learn more from surprising, novel text. Your authentic human voice is your competitive advantage.
$349. No subscription.
One report. One price. GEO changes slowly — you don't need monthly updates. Run a report, implement the recommendations, then check again in 6 months.
We just need your company name and a brief description. We handle competitor identification automatically. Delivery within 48 hours.
See examples first
Want to see what a report looks like before you buy? Here are two sample reports we generated for well-known companies:
- Ramp — Corporate cards & spend management (vs Brex, Divvy, Airbase)
- Linear — Issue tracking for software teams (vs Jira, Asana, Notion)