Representation review
Repeat relevant questions and assess answers by mention, context, and factual accuracy.
Visibility in AI answers (GEO)
We assess how ChatGPT, Gemini, and other answer systems represent your company, which information is missing or incorrect, and which owned sources should be improved. Changes are documented through repeated measurement.
Assessment areas
The assessment separates external output from controllable foundations. Observations are documented with their date and question.
Repeat relevant questions and assess answers by mention, context, and factual accuracy.
Identify missing, unclear, or outdated details that affect the market and customer decisions.
Assess the website, profiles, case studies, and other controllable information for clarity and evidence.
Connect important claims, relationships, and evidence clearly across owned content.
Repeat the same relevant questions at defined intervals and document changes.
Approach
The method uses documented questions, dates, and sources. Individual answers are not treated as a permanent truth.
Select real customer questions and record current representation with its date and context.
Compare unclear statements with owned pages, profiles, and available evidence.
Make controllable content clearer, more complete, and better connected.
Repeat the defined questions and document observable changes without a guarantee.
Foundations
Clear owned sources grow from good content architecture, traceable evidence, and a repeatable measurement logic.
Develop technical and editorial foundations for relevant organic demand.
View SEOTurn expertise and evidence into understandable owned sources.
View contentDocument the baseline, repetitions, and known influence limits clearly.
View measurementWe define the most important questions, document the baseline, and assess which owned sources should be improved first.