When the answer comes
When your customers ask an AI a question about your field, the answer may mention your company, leave it out or describe it with outdated information. We assess how your company appears in the questions that matter to your customers, correct your own content and company details, and track how the answers change.
01
When this is needed
An AI answer is assembled from your site, search results, reviews and other sources. The work is needed when an AI does not mention your company in the typical questions of your field, recommends a competitor, or describes your company with outdated information. The work also goes by the name GEO.
AI optimisation sits in the same execution stage as search engine optimisation and paid search, and the technical groundwork is shared. 53 %* of 18 to 74-year-olds, around 2 089 000 people, use AI services at least weekly, and 98 %** of them also use a search engine at least weekly. The survey measures how often people use these services. It does not show how many ask an AI questions related to buying decisions.
02
The baseline
Together we choose the questions your customers are likely to ask, and record what different AI services answer, whether your company is mentioned and whether the information is correct. The baseline also shows which sources the answers rely on.
03
Your own content and other sources
We correct your own sources directly: the site content, the structured data and the company details you manage. An AI leans on content that answers the question directly and can be checked, so we write the content so the correct information is easy to find and the same everywhere.
Not every source is yours. When inaccurate information sits in a directory, a review site or another third-party source, we agree case by case whether we submit the correction request ourselves or guide you through making it. The owner of the source decides on the change.
04
Tracking
Answers vary by service and by how the question is phrased, and they change over time. So the same questions are asked on a regular rhythm and the changes are recorded. We report monthly on how your visibility and your competitors' visibility in the answers has changed.
We do not promise a place in an AI answer, because the service decides that itself. You get a record of what the answers say and a list of the corrections made or requested. Tracking and content work are done by our specialists. NØRR3 Marketing Engine has an upcoming SEO + GEO + CMS app that will give recommendations. It is not part of the current service.
* NØRR3 Media Insights, Norstat panel, wave 9, August 2026, n = 2 022, aged 18 to 74. Question: how often people use AI services, at least weekly use. Margin of error ±2.2 percentage points. ** Same survey: at least weekly search engine use among people who use AI services at least weekly, n = 1 058, around 2 049 000 people. Margin of error ±0.8 percentage points.
Sources & further reading
The reference sources and tools this page's work rests on.
Examples of what we do
- Baseline visibility across AI services
- Choosing the questions to track
- Content an AI can lean on
- Structured data and corrected company details
- Correction requests to third-party sources
- Comparison against competitors
- Monthly tracking and reporting
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