How Industry AI Powers Brand AI in Birdeye
What is Industry AI?
The Industry AI is Birdeye’s vertical proprietary intelligence layer that equips Brand AI with deep, vertical-specific, and contextual expertise. Built on over a decade of experience in AI-powered social media and online reputation management, it enables your AI to understand the nuances of your industry, speak its language, adhere to compliance guardrails, and benchmark performance accurately within your market.
By analyzing data across 30+ industries, 150,000+ companies, 400,000+ business locations, and billions of data points, Industry AI lays the foundation for Brand AI, ensuring every interaction is informed, compliant, and industry-relevant.
NOTE:
Businesses’ data is never used to train third-party models and remains securely within the Birdeye platform.
Pillars of Industry AI
Industry AI plays a key role in shaping Brand AI's performance. It operates through four core pillars influencing how Brand AI generates content and adapts to industry-specific needs.
- Industry benchmarks
- Industry trends
- Industry categories, and
- Industry compliance
Industry Benchmarks
When viewing Sentiment and Reputation Scores within the Insights AI tab, industry benchmarks are visible as industry averages.
Industry trends
View industry trends through themes and snippets in the Competitors tab, which helps you stay ahead with AI that adapts to emerging patterns and evolving customer expectations.
Industry Categories
AI is trained on industry-specific themes and topics to deliver more relevant and contextual insights. While two different industries may use the same category or keyword, the meaning and implications can vary significantly. Brand AI analyzes these terms in context and provides outcomes tailored to the nuances of each industry, ensuring accuracy and relevance.
Industry Compliance
Birdeye adheres to industry-specific compliance standards to ensure data protection and regulatory alignment across sectors. This includes:
- HIPAA for healthcare
- FINRA for financial services
- PII regulations for legal and other sensitive data-handling industries
Industry-Specific and Contextual Examples
Brand AI tailors its output based on the industry, brand personality, and tone. Even when two businesses from different industries share the same tone, the generated content will reflect their distinct brand personalities.
The image below illustrates that both brands' social media posts generated using Brand AI use a similar tone. Still, their social posts vary in language and style based on their respective brand personalities and industries.
Here’s an example of a contextual review response generated for the same review text, tailored differently based on the personality and tone. In the image below, the left shows a retail store assisting Sofia with checkout and returns, while the right features a legal firm helping her with contract document review.
Here’s an example of a social media post generated based on context and categories. In this case, two brands from distinct industries have added the keyword ‘extraction’ while configuring their categories. As shown in the image below, although the same keyword (extraction) appears in both posts, its meaning varies significantly—on the left, it refers to data extraction for a risk advisory firm. At the same time, on the right, it denotes tooth extraction at a dental care clinic. Industry AI intelligently interprets the keyword in context, tailoring the message to suit each brand’s industry for maximum relevance and accuracy.
To know more about Brand AI, click on the links below:
How to Set Up Brand AI within Birdeye
Understanding Tone and Writing Style in Brand AI
Understanding Brand Personalities in Brand AI
What Are AI Prompts in Reviews and Social, and How Are They Used?