AI Search Visibility and SEO Implementation for Agencies

Most of it. This page carries the part built for your kind of company; the full build surface, from web and SaaS engineering to self-hosted AI, sits on one page, item by item. Browse everything we build

By measuring it on a pipeline built for the purpose. We wire your Search Console, Analytics and Ads data into one place and extend it to track how often a client is cited in answer engines, so the position is a figure with a method behind it rather than a screenshot of someone typing a prompt. What we will not hand you is a claimed improvement percentage. The field has no uniform measurement standard yet, our own methodology is defined per engagement, and a number without a method behind it is worth nothing in a renewal meeting.

We do the implementation. Your name is on it. You keep the client, the relationship and the reporting surface; we sit behind you and change the code. The category calls this white-label, and the term is accurate as a description of the channel. It says nothing about what is being labelled, which is why we would rather talk about the implementation than the arrangement.

It will, and often. That is designed for rather than promised around. The measurement layer is built so a source can be re-pointed without rebuilding the reporting on top of it, and every engagement opens with a discovery phase because the platforms move. When one changes, you get told what moved, what it did to your clients' figures, and what we propose to change. You do not get a silent adjustment to a chart.

Discovery first: we take stock of the data access you already hold, the client roster in scope, and what your current reporting can and cannot show. Then the pipeline gets stood up against a small number of clients rather than all of them, so the baseline is real before anything is presented downstream. Implementation starts on the clients where the baseline shows the widest gap. Nothing reaches your clients until you have seen it.

Every rung here is quoted after scoping, and this page carries no figure at all. Rung one is a product you take as it ships. Rungs two and three are work, and work gets quoted against your client count, the access you already hold and how much of the implementation you want to keep in house. Book the scoping call and you get the number for your situation instead of a band that fits nobody.

Probably not this page. What is here assumes a team: pods, a client roster, and somebody other than you presenting the reporting. If you are running solo, the one of ours most likely to earn its keep is Ezly, which is shipped rather than in alpha. That is a different product for a different job, and it is not what this page is about.