Record the starting point.
Your baseline comes from a fixed question set per market, measured over several runs.
Access to artheris: We'll email you once, as soon as it opens for you.
The check puts your buyer question to AI models from OpenAI and Perplexity, each with web search. The result shows whether your domain is named and who is named instead. It also lists the findings of a technical check of your homepage.
Each line changes as soon as the step on the server is done.
The check was interrupted. Your inputs are kept.
The full answers per provider and all sources are in the report.
The report contains the answers, named competitors, sources and technical findings, plus a proposed change if the run supports one.
The basic check puts one buyer question to two AI systems. A measurement in artheris covers many buyer questions, and every gap comes with its evidence: the passage of the AI answer that names competitors and not your brand.
Different products bring different buyer questions. That is why your setup is built around your company and the markets you sell in.
Set target markets and buyer questions together.
Take buyer question templates as a starting point and adapt them to your industry.
Track changes, approve them, then check again.
Country and language are part of the setup. Each target market is asked in its own language.
Your baseline comes from a fixed question set per market, measured over several runs.
Findings become proposals you can check. Your team decides on approval.
Re-measurements show whether anything has changed beyond normal variation.
In a pilot project we ask a fixed set of questions that we define together with you. The basic check above is a single sample. This is how you work with the results:
A pilot project includes a report with the answers, the suppliers named, the sources and the findings on your website. We review it before it goes to you.
On request, your team can also query the measurement data in an AI assistant of your choice (through the MCP interface). The access is read-only.
Changes remain proposals that your team reviews and approves. We agree in an initial call which of these parts run in your pilot project. A pilot project cannot be booked online.
Our results have to be technically right and useful to your team in day-to-day work.
With technical products, the details count. We want to know applications, requirements and limits before we assess content or recommendations.
You see where a finding comes from and how far it holds. That includes missing evidence, unchanged results and questions that still need checking.
Markets, products and buyer questions change. That is why we measure your position regularly, and in new target markets too if you wish.

Builds artheris: measurement, console and website. Before that, independent work in AI and web development, with client projects ranging from 3D to online shops to agent systems.
LinkedIn
Runs artheris and talks to customers. Before that, business client advisory at a bank, alongside studies at Frankfurt School of Finance & Management.
LinkedInWork out how many additional new customers it would take to cover your budget.
1
Rounded up to whole customers
€9,000
Ongoing budget and one-off effort
€12,000
Revenue minus variable costs
The sample values can be changed freely and are not artheris prices. The calculation shows a break-even point, not a revenue forecast. All amounts are net.
Mentions in AI answers, enquiries and closed deals are three separate figures. A mention does not create revenue. This calculation does not show whether a deal came from an AI answer.
How manufacturers appear in AI answers, and what they can do about it themselves.
Six things every brand can do itself for its visibility in AI answers, and when. With what we measured ourselves along the way, and what we do not claim.
Read insightWhat to know about working with us, from the first look to the re-measurement.
Still have a question?8 answers about artheris
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