A phrase becomes a realistic conversation
Guests rarely enter one perfect phrase. The scenario reflects how they refine their needs through successive questions.
Family with a young child
Analysis shows interest in a pool, child-friendly facilities, dietary options and the possibility of arriving in an electric car.
Conversation and assessment criteria
The module creates an opening question, follow-up refinements, the expected information and the condition for considering the hotel visible.
- natural question variants
- single- and multi-stage conversations
- repeatable measurement criteria
The scenario describes a need, not a promotional slogan
The questions are based on SEO data, content, gaps and competitor comparisons. They are not created solely to force the hotel name into the response.
Defines intent
Describes the user’s goal, context and constraints rather than just the keyword.
Builds the conversation
Creates opening-question variants and realistic follow-up refinements across successive turns.
Defines measurement
Adds the expected information and explicit visibility criteria for the brand and its competitors.
How does analysis become a measurement scenario?
Select the need
The team selects an intent that matters to the offering and potential guest.
Gather context
AI uses competitor, content, gap and SEO analyses.
Build the conversation
Creates question variants, follow-up refinements and the expected scope of the answers.
Approve the criteria
The team checks the scenario’s realism and the rule for subsequent measurement.
Every scenario links a need to an assessment criterion
Questions, expected information and the assessment method are stored together, so the test can be repeated and compared over time.
What does AI use?
- competitor comparison
- analysis of existing content
- list of information gaps
- phrases, landing pages and traffic context
What does the team receive?
- list of key intents
- single- and multi-stage conversation variants
- visibility and completeness assessment criteria
The team confirms that the scenario reflects a real guest
AI can generate many variants, but the marketing owner selects those aligned with the offering, segment and real decision-making process.
Marketing approves every intent, conversation variant and criterion before the scenario is added to monitoring.
The module does not run recurring measurements, create content, influence model responses or guarantee that the brand will appear.
A repeatable basis for measuring visibility
Tests reflect guest needs, not random prompts.
The same need can be tested across multiple models and time periods.
The team knows exactly what presence, source and a complete answer mean.
Scenarios bring together insights from every analysis
The module uses competitor comparisons, content audits, gap maps and SEO and traffic data.
Related process elements
Frequently asked questions
How does a scenario differ from an SEO phrase?
It describes the user’s full goal, question variants and successive conversation stages, rather than just a single query.
Can the same scenarios be tested across multiple models?
Yes, provided the same questions, settings and assessment criteria are retained.
Should a scenario always include the hotel name?
No. Discovery scenarios should check whether the brand appears naturally for a given need.
Who approves the visibility criterion?
The hotel team together with the person responsible for measurement and GEO strategy.