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Use the web application AI Brand Intelligence Monitoring to continually monitor your reputation in the leading AI models. Discover how the models rate your company and brands, and receive real-time alerts in the event of significant changes.
Use the tool’s six integrated modules to obtain more precise information about your Reputation, reputation, risks, customer opinions, competitors, trends and your positioning in relevant topic areas. The new LLM-NPS Score (Large Language Model Net Promoter Score) shows whether AI models recommend your brand.
The Dashboard clearly displays all of the results and enables you to filter by AI model, sentiment or any of the six modules. An automatic summary brings together the key statements from all models.
Continually monitor your reputation in AI models
Receive an alert in the event of significant changes
Compare your competitive positioning in LLMs
Detect risks, trends and narratives at an early stage
Optimise your reporting through standardised KPIs
Measure your image as an employer in AI systems
Assess customer opinion through customer experience & feedback templates
Use the dashboard to obtain a clear overview of all of the results
Six specialist modules, each of which cover a specific aspect of brand perception, are used for monitoring.
These can be used individually or combined.
Brand perception & image
Analyses public perception: image, reputation, strengths, weaknesses, praise and criticism
Brand & topic evaluation
Evaluates the brand in relation to a specific topic (e.g. sustainability, innovation)
Trust & credibility
Evaluates trust and credibility based on public opinion
Narrative & topics
Identifies central narratives and recurring topics in relation to the presentation of the brand
Competitive landscape
Compares the brand with competitors with regard to visibility, narratives and tone
Risks & controversies
Analyses reputation risks, points of criticism and potential controversies
The LLM-NPS Score (Large Language Model Net Promoter Score) measures how likely it is that AI models will recommend your brand. The score is calculated on a scale of 0–10 for each individual AI model and as an overall score for all models. Regular measurements enable you to track developments over time. The score is evaluated as follows:
Promotors (score of 9–10): AI recommends your brand actively and with conviction.
Passive (score of 7–8): AI mentions your brand but does not recommend it.
Detractors (score of 0–6): AI expresses reservations or recommends alternatives.
AI Brand Intelligence Analytics gives you structured AI visibility and reputation analysis – either as a one-off or at a delivery frequency of your choice. The analysis considers various stakeholder perspectives ,while also offering a competitive comparison and a Power BI dashboard. AI Brand Intelligence Analytics identifies the central narratives and perception patterns that AI models associate with your brand. These are used to derive your positioning, opportunities, as well as potential reputation factors and risks.
Results are based on systematic questioning of the leading AI models from the perspective of various stakeholder groups, such as employees, applicants, investors or customers from the B2B or B2C area. Every analysis relates to exactly one brand or company, one specific topic (e.g. attractiveness as an employer, sustainability, product perception) and one geographic market. The answers currently output by AI assistants, the sources on which these are based, and the stability or variability of the generated content are all determined. The survey is conducted in German, English, French and Italian.
Benchmarking compares five competitors with regard to perspectives, visibility and tone on the basis of identical questions.
Various aspects, such as visibility, sentiment/tone, positioning compared to competitors, sources, and reputation factors and risks, are displayed through the use of clear diagrams. You can also dynamically filter by model, stakeholder, language and period.
Want to find out more about your positioning in AI models and identify relevant reputation factors and risks? Simply get in touch.
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