2 min read growth · ai · distribution
Your next customer might ask ChatGPT: preparing a product for AI search
A growing share of product discovery now happens inside AI assistants instead of search result pages. Here's how I think about building for that channel — including why Firmoscop ships an MCP server.
For twenty years, being discoverable meant one thing: rank on a search results page, earn the click. That contract is quietly breaking. When someone asks an AI assistant “how do I check if a Romanian company is safe to work with?”, there is no results page. There’s an answer — and either your product is part of it, or it doesn’t exist.
I treat AI search as a first-class distribution channel now, alongside SEO and paid. Here’s the mental model I use.
The answer engine doesn’t click
Classic SEO optimizes for a human scanning links. AI search optimizes for a model composing an answer. That shifts what wins:
- Being the clearest explanation of a problem beats being the highest-volume keyword page. Models cite pages that state things plainly: what the product does, for whom, with what inputs and outputs.
- Structured, factual pages — actual feature lists, actual pricing, actual geographic scope — get represented accurately. Vibes-based landing pages get summarized into mush.
- Consistency across the web matters more, because models triangulate. If your site, your docs, and third-party mentions describe the product three different ways, the composed answer inherits the confusion.
The practical work looks suspiciously like writing honestly and specifically — which is either reassuring or disappointing, depending on your relationship with marketing.
The deeper move: be infrastructure, not just an answer
Getting mentioned by assistants is the shallow win. The deeper one is being callable. This is why Firmoscop ships an MCP server alongside its human interface: an AI agent can verify a company, pull its risk verdict, and monitor changes — programmatically, with the same capabilities a human gets.
When assistants move from answering questions to completing tasks — and they are, fast — the products that win are the ones an agent can actually use. “Tools the model can call” is the new “apps in the store.” Early, yes. But distribution shifts reward the early and punish the correct-but-late.
How I’d start, in order
- Ask the assistants your customers’ questions. Top five buying questions, across the major models. Note who’s in the answer. That’s your new competitive landscape page.
- Rewrite the pages the answers should come from — clear claims, real specifics, no adjectives doing load-bearing work.
- Expose something callable — an API with honest docs at minimum, MCP if you’re serious.
- Re-ask monthly. It’s the cheapest rank tracking you’ll ever do.
None of this replaces classic channels yet. But every platform shift looks optional right up until it looks obvious — and this one is compounding quarterly.
Related: why I built Firmoscop AI-native and the agent system that builds my products.