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AI visibility tracking

Measure when your hotel appears in model responses

The system regularly runs approved scenarios across available models. It records responses, sources, brand and competitor presence, then compares the results over time.

Example in action

Visibility is compared across the same scenarios

A single conversation does not provide a reliable picture. The module retains the questions, models, responses and criteria for each measurement.

Measurement plan

Conference and family scenarios

Marketing approved twelve scenarios, three models, a group of competitors and a monthly comparison schedule.

consistent questions3 modelsexplicit criteria
Visibility history

Results and sources over time

The system shows the hotel’s presence, the competitors mentioned, cited sources and significant deviations from previous measurements.

  • complete responses with date and model
  • assessment against approved criteria
  • alerts requiring interpretation
Module scope

Monitoring measures responses but does not control them

Model results may vary between runs. The module retains the test conditions and shows the trend, rather than treating a single response as a fixed position.

Runs measurements

Runs scheduled tests using approved scenarios and available models.

Retains responses

Records the model, date, content, sources, and the presence of the hotel and competitors.

Compares changes

Shows the history and raises alerts for significant increases or decreases according to defined rules.

Process

How is the visibility history created?

1

Plan approval

The team selects the scenarios, models, competitors, frequency and assessment criteria.

2

Scheduled measurement

The system runs the same conversations under agreed conditions.

3

Recording and assessment

It retains the responses, sources and result for each criterion.

4

Comparison

It shows changes over time and directs unusual deviations for human analysis.

Data and outcome

The raw response remains alongside the aggregated result

Each indicator links to the specific response, date, model and scenario, so the result can be interpreted.

Input

What does AI use?

  • approved intent scenarios
  • list of models and test settings
  • hotel and named competitors
  • schedule and alert criteria
Output

What does the team receive?

  • complete responses and cited sources
  • history of hotel and competitor presence
  • alerts for significant changes
Control

A person interprets the cause of the change

A decline may result from a change in the model, sources or market. Monitoring highlights the deviation but does not determine its cause.

The decision remains with the team

Marketing approves the test plan, models, competitors and alert thresholds, then interprets the results before changing the strategy.

Where does this module end?

The module does not influence model responses, publish content, automatically assign causes or guarantee a consistent brand position.

Outcome

A comparable view of visibility across multiple models

Results history

The team can see how the same scenarios change between periods.

Transparent sources

The result shows which domains and information the response referred to.

Actionable alerts

A significant change is sent for assessment together with the full measurement context.

Data and integrations

Scenarios ensure consistent measurement

Approved intent scenarios provide the foundation. A history of technical implementation changes may later help interpret the change.

Intent scenariosTone calibrationAvailable AI modelsMeasurement historyOptional technical change history
Content hub

Related process elements

FAQ

Frequently asked questions

Will the result be identical every time it runs?

No. Models are variable, so a history of multiple comparable measurements is important.

Can several competitors be measured?

Yes, provided they have been identified in advance and included in the scenario criteria.

Does monitoring show the sources of responses?

It records sources when the model provides them; their absence also remains part of the result.

Does an alert mean the website needs to be changed immediately?

No. The team should first review the responses, sources and possible causes.

Start measuring visibility consistently

We will define the scenarios, models and criteria, then build a results history that can be compared reliably.

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