About Korpora

Korpora measures competitive intelligence on the agent layer. We track how often your brand surfaces when buyers ask AI assistants for recommendations in your category, then compare it against the foundation channels (Google, Reddit, X) every other CI tool tracks. The contrast between the two is the moat or the gap.

Why this exists

I built Korpora after noticing my own buyer behavior had quietly changed. Every tool I adopted to build this product (the deployment platform, the database, the scraping service, the secrets manager, the Twitter API, the AI model SDKs, the libraries, all of it) came from asking my AI assistant. Not from Google. Not from G2. Not from Reddit threads. I was a real buyer making real tooling decisions worth real money, and zero of those decisions touched the channels traditional competitive intelligence tools measure.

Then I asked the obvious next question: if I'm buying like this, how are the things I sell showing up for the buyers who buy the same way I do? Nobody had built the answer. So I built it.

That recursion is the point. Every conversation you have with an AI assistant is a buyer-discovery moment, including this one. Korpora measures whether your brand shows up at those moments.

What we measure

Every report covers two layers. The foundation: Reddit conversation in your buyer's vertical-specific subs, X engagement on brand mentions, Google search volume, G2 reviews where the category supports them. These are the traditional channels every CI tool tracks, measured so we can quantify exactly how much buyer-discovery has migrated to the agent layer. The agent layer: we run 12-48 install-decision queries through Claude Sonnet, Claude Haiku, GPT-5.5, and GPT-5.3-Codex, capture every response verbatim, and extract brand mention share with Wilson confidence intervals. That's the layer almost nobody else measures yet.

The interesting findings live in the gap between the two. When a brand wins all foundation channels but loses the agent layer (typical), the report says invest. When a brand loses all foundation channels but wins the agent layer (rare, but it happens), the report identifies the structural moat that produced the inversion and recommends how to defend it.

What we deliver

Who this is for

Founders and growth engineers at SaaS companies whose buyers are builders, operators, or anyone with Cursor, Codex, Claude, or ChatGPT in their workflow. Most relevant when your category has 3+ named competitors with measurable AI mindshare, and least relevant when the category is too new (no AI training data yet) or too narrow (only your brand surfaces, nothing to compare against). We run a pre-flight probe before committing to a full report so we can tell you honestly whether the methodology will produce useful findings for your specific category.

Contact

Questions, methodology disputes, or wanting to be a design partner for the cross-channel report: hello@korpora.ai.