Auris Reputation Management Software Pricing & Demo

Auris reputation management software is an AI-powered platform that curates consumer rights insights for the topics of interest. listening to reviews on social media, review boards and news streams with the help of Auris to gain a better insight of the clients. Raw data can be produced with the help of artificial intelligence and linguistic programming. Detailed insights, consumer comments, and trends can be monitored easily all under one roof.

Auris Pricing:

Auris Pricing plans range from $99 to $399 every month. Auris pricing varies depending upon the features offered in a particular plan. Auris Pricing for its three major editions is as below:

1. Spark: $99 per month
2. Popular: $199 per month
3. Enterprise: $399 per month

Auris demo:

Auris reputation management software provides a free version of the software with a limited amount of features. The website contains video tutorials and articles for better insights on the product features to help the user to navigate through the software.

Auris features:

• Social listening

• Generate data from Auris’s social listening platform comes with the help of a pre-built and custom made AI model that focuses on streaming data which helps in curating consumer insights.
• Listen to news, social media mentions which help in understanding consumer sentiment.

• Media monitoring

• Monitor media interactions in real-time across all social media platforms and review boards and reduce misunderstanding for the clients
• Identify patterns and insights based on the data collected by the AI for media monitoring.

• Analytics

• Generate analytical models based on brand performance for competing with other organizations.
• Integrate information regarding customer insight to improve the content with ease.
• Track response metrics with AI-driven customer feedback and analysis. 

• Augmented market research
• Curate consumer insight using industry models and augment from conventional market research.
• Automated use of semantics to analyze models with the help of compelling consumer stories.