Category Framing: The Secret to Getting Your Brand Recommended by AI

What Happened

A study conducted by João da Silva and a researcher from VisibilityAI discovered the significance of category framing in brand visibility on AI-powered search engines. The researchers used 12 athletic apparel brands in the U.K. and tested them under two different category framings: athleisure and athletic footwear. This approach allowed them to assess how different category framings impact a brand's recognition and recommendation by AI search engines.

Key Details

• The study involved 12 athletic apparel brands in the U.K. and tested them under two different category framings: athleisure and athletic footwear.
• The results showed that the way a brand's category is framed can significantly impact its visibility on AI-powered search engines.
• Some brands saw a significant increase in recognition and recommendation, while others dropped out of the recommendations altogether.
• The study found that brands with strong athleisure co-mentions were more likely to be recognized as athletic footwear brands.

Key Highlights

• Category framing is crucial: The way a brand's category is framed can make or break its visibility on AI-powered search engines.
• Athleisure vs. athletic footwear: The study found that brands with strong athleisure co-mentions were more likely to be recognized as athletic footwear brands.
• Recognition isn't the same as recommendation: Being a recognized brand isn't the same as being a strong brand. What matters is whether the category your customers are using to search for you matches the category the LLM has coded you into.
• Optimize your brand's category framing: To increase your brand's chances of being recommended, optimize your category framing to match the way customers are searching for you.

What It Means For Your Business

The study's findings have significant implications for businesses trying to get found and cited by AI search. To increase your brand's visibility and chances of being recommended, you need to optimize your category framing to match the way customers are searching for you. This means:

• Conduct keyword research: Research the keywords and phrases your customers are using to search for your brand and your competitors.
• Optimize your category framing: Use the insights from your keyword research to optimize your category framing and match it to the way customers are searching for you.
• Monitor your performance: Keep an eye on your brand's performance on AI-powered search engines and adjust your category framing as needed.

FAQs

• Q1: What is category framing and why is it important?

A1: Category framing refers to the way a brand's category is framed on AI-powered search engines. It's crucial because it can make or break a brand's visibility and chances of being recommended.

• Q2: How can I optimize my brand's category framing?

A2: To optimize your brand's category framing, conduct keyword research to understand how customers are searching for your brand and your competitors. Then, use the insights from your research to optimize your category framing and match it to the way customers are searching for you.

• Q3: Why is recognition not the same as recommendation?

A3: Recognition isn't the same as recommendation because being a recognized brand isn't the same as being a strong brand. What matters is whether the category your customers are using to search for you matches the category the LLM has coded you into.

Meta Data

• metaTitle: Category Framing: The Secret to Getting Your Brand Recommended by AI
• metaDescription: A recent study reveals that the way you frame your brand's category can make or break its visibility on AI-powered search engines like ChatGPT and Google AI Overviews.
• tags: category framing, AI-powered search, athleisure, athletic footwear, brand visibility, recommendation

Related Tags

• entity SEO: Entity SEO refers to the process of optimizing a brand's online presence to improve its visibility and ranking on search engines.
• LLMs: LLMs (Large Language Models) are AI-powered models that can understand and generate human-like text.
• Knowledge Graph: A Knowledge Graph is a database that stores information about entities, including their relationships and attributes.
• schema markup: Schema markup is a type of microdata that helps search engines understand the structure and content of a webpage.
• press coverage: Press coverage refers to the media attention and coverage that a brand receives in the press and online.
• brand recognition: Brand recognition refers to the extent to which a brand is known and recognized by its target audience.
• brand recommendation: Brand recommendation refers to the process of recommending a brand to others based on its quality and relevance.
• category associations: Category associations refer to the relationships between a brand and its category.
• co-mentions: Co-mentions refer to the instances where a brand is mentioned alongside other brands in the same category.
• category framing: Category framing refers to the way a brand's category is framed on AI-powered search engines.
• LLM: LLM (Large Language Model) is an AI-powered model that can understand and generate human-like text.
• brand visibility: Brand visibility refers to the extent to which a brand is visible on search engines and online.
• recommendation: Recommendation refers to the process of suggesting a brand to others based on its quality and relevance.
• entity SEO: Entity SEO refers to the process of optimizing a brand's online presence to improve its visibility and ranking on search engines.