TransUnion's AI Research Reveals Blind Spots in Brand Citeability

What Happened

TransUnion, a leading consumer credit reporting agency, conducted a survey of 100 marketing leaders to gain insights into the dynamics of AI-driven search engine citations. The research, reported by Search Engine Journal, found that AI search blind spots mirror traditional SEO measurement gaps, indicating that AI search engines are not effectively crawling or indexing local businesses, resulting in missed opportunities for citations.

Key Details

• The study involved 100 marketing leaders across various industries.
• The research focused on the intersection of AI search engines and local SEO.
• The findings suggest that AI search engines are not effectively crawling or indexing local businesses.
• Walled garden measurement gaps are a significant factor in AI search blind spots.

What It Means For Your Business

The implications of TransUnion's AI research are far-reaching, particularly for small and local businesses. By reframing GEO as a company-wide problem, businesses can secure funding to address the issue. This requires a comprehensive approach that involves multiple departments, including marketing, IT, and finance. By doing so, businesses can improve their visibility in AI search engines and increase their chances of getting cited.

Why It Matters

For small and local businesses, getting cited by AI search engines is crucial for survival. With the proliferation of online searches, businesses that are not visible in search results are often overlooked by potential customers. The blind spots in AI search engines, as revealed by TransUnion's research, exacerbate this issue. By understanding the dynamics of AI search citations, businesses can develop effective strategies to improve their visibility and increase their chances of getting cited.

Key Highlights

• AI search blind spots mirror traditional SEO measurement gaps.
• Walled garden measurement gaps are a significant factor in AI search blind spots.
• Reframing GEO as a company-wide problem can secure funding.
• A comprehensive approach is required to improve visibility in AI search engines.

FAQs

• Q1: What are AI search blind spots?

A1: AI search blind spots refer to the phenomenon where AI search engines fail to crawl or index local businesses, resulting in missed opportunities for citations.

• Q2: What is the significance of walled garden measurement gaps in AI search blind spots?

A2: Walled garden measurement gaps refer to the limitations of traditional SEO measurement tools in accurately tracking AI search engine citations.

• Q3: How can businesses improve their visibility in AI search engines?

A3: Businesses can improve their visibility in AI search engines by reframing GEO as a company-wide problem, securing funding, and developing a comprehensive approach that involves multiple departments.