Make every business legible to AI. Then make it open.

The buying journey moved. The websites did not.

People used to open five tabs and a directory. Increasingly they open one chat window and ask a question in plain language: who near me can do this, what will it cost, can it happen this week. The assistant answers. They go where it says.

That answer has to come from somewhere. If your prices are rendered by JavaScript, your detail lives inside an image, your terms are a PDF and your crawler policy quietly blocks AI bots by default, then it does not come from you. The assistant does what it always does with missing data: it works with what it can read, and recommends someone else. You are not being outranked. You are being skipped, and nothing in your analytics tells you it happened.

What we actually build

Parleon is a layer that sits over the business you already have. You keep your website, your CRM, your vendors and your process. We make three things true: machines can read your business correctly, assistants can answer questions about it from live data, and the agent has real tools to do the work, price a job, check what is genuinely free, take the booking, hand the enquiry to your CRM.

We measure it out loud. The public checker at isitagentready.com scores any URL on what an agent can see and do. Most businesses land around 21 out of 100 before they change anything. With the Parleon layer in place the same site scores 100 out of 100, Level 5, Agent-Native. Anyone can reproduce that against a live site, including ours.

The part that is bigger than us

Here is the uncomfortable version of the opportunity. Right now, connecting one AI assistant to one business system is a bespoke project: weeks of work, tens of thousands of dollars, brittle the moment either side ships a change, and completely non-reusable. Multiply that by every assistant and every booking tool, CRM, point of sale, practice system and catalog in the country and you get an N times M problem that no amount of funding brutes its way through.

The fix is a shared protocol, which is why we build on the Model Context Protocol and on the open discovery conventions around it: llms.txt, agents.md and published JSON Schemas, rather than a format only we can read. Every artifact we publish for a customer is one another vendor could parse tomorrow without asking us.

That is a convenient thing for a vendor to say, so, plainly: an open standard is worse for our moat and better for the market, and we think it is the correct trade. A walled garden would let one company sit between every business and every AI, and rent that position forever. Small businesses have been on the wrong side of that arrangement enough times already.