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Start-up · Avisible

An AI-first company, built end to end

Avisible shows how brands appear when people ask AI. MXM built the platform, the consulting toolkit, the website, the content and the agent team that does much of the building.

Client
Avisible
What we did
Start-up, AI visibility, Agent system, Platform

Avisible measures how brands appear when people ask AI: which brands get named, how they are described, and where buyers are sent. Make X Media built all of it, from the measuring platform to the agent system that does much of the building.

What Avisible does

Avisible asks ChatGPT, Gemini and Google’s AI search the questions real buyers ask. It then shows which brands get named, how they are described, and where buyers are sent.

The report follows a buyer through three stages: is the brand named when buyers ask for options, how do answers about it speak of it, and do ready-to-buy answers point to its own site.

The Avisible At a glance screen for an example brand: three scores for awareness, reputation and conversion, and a ranking against competitors
The platform’s At a glance screen, shown with an example brand and invented data.

What MXM built

  • The measuring platform. It captures AI answers and turns them into a report for each brand and market.
  • The consulting toolkit behind the first client reports.
  • The website, rebuilt in August 2026, and the content on it: 27 articles in English and 18 in Finnish.
  • The agent system that does much of the building, described below.
  • The working processes: 14 written records of why key decisions were made, 15 step-by-step guides for running the system, 5 reusable templates for setting up its technical environment, and 630 files of automatic tests.
The Awareness screen of the Avisible platform for an example brand: a trend chart, a ranking against competitors and the product groups where the brand is named or missed
The Awareness screen: how often the brand is named when buyers ask for options. Example brand, invented data.

How the work runs

A small system of AI agents, running on Claude, does much of the building. Bob, the lead agent for the platform, plans each task and hands it to builder agents. Jane is the lead agent for the website.

Every piece of work then goes to a separate reviewer agent that did not write it. Four automatic checks have to pass before anything goes live, and automatic scans for accidentally exposed passwords and keys, plus security tests, run on every change.

In all there are seven defined agent roles and dozens of reusable skills. In October 2026, the first full month under this setup, 522 pieces of work were finished and merged. In September there were 72.

In numbers

AI answers collected in the production database
127,000+
finished, reviewed pieces of work in the platform’s main code
703
planned tasks finished on the build board
443 of 790
pieces of work finished in October 2026, against 72 in September
522
articles on the website: 27 in English and 18 in Finnish
45
of code shared by every page when the rebuilt website launched in August 2026, down from 1.11 MB
106 kB

Checked on 30 October 2026.

The timeline

  • 20 November 2025: first code of the consulting toolkit.
  • 12 May 2026: first code of the new measuring platform.
  • August 2026: the website rebuilt.

Clients

Avisible publishes one client case study: an AI visibility audit for Naisten Linja, a Finnish organisation that supports women experiencing violence. Read it on avisible.co.

  • Hurtta
  • Laattapiste Pukkila
  • Naava
  • Naisten Linja
  • Unikie
Client logos shown on avisible.co.

Avisible is open by invitation. Visit avisible.co.

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