Title: Invitation to Participate in a Unique Case Study on NAP Consistency and AI Local Search Visibility
As the landscape of local search continues to evolve, understanding the dynamics of online visibility has become more critical than ever. With advancements in generative AI integrating into platforms like Google Maps and Bing Places, there is a compelling need to explore how these changes influence local search performance. To that end, I am excited to announce a unique opportunity for three businesses to participate in a comprehensive case study aimed at testing NAP (Name, Address, Phone) consistency and schema across multiple platforms.
The Hypothesis
In light of the recent launch of Ask Maps, which provides conversational AI responses within Google Maps, and Bing Places’ data integration with ChatGPT, the trust signals utilized by AI systems to deliver local search results are undergoing significant transformation. My hypothesis is that achieving cross-platform NAP consistency across major directories such as Google Business Profile, Apple Business Connect, Bing Places, Waze, and others will serve as a robust corroboration signal for AI language models (LLMs). This could, in turn, enhance business visibility in AI-driven “near me” search results, independent of traditional optimization strategies for Google Business Profiles (GBP).
The Study Scope
I am seeking three brick-and-mortar businesses to collaborate in this endeavor, which will be conducted at no cost to participants. The case study will encompass the following components:
- Baseline Audit:
- Comprehensive review of NAP data across Google Business Profile, Apple Business Connect, Bing Places, Waze, Foursquare, Yelp, and Facebook.
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Identification and mapping of any inconsistencies in NAP information.
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NAP Standardization:
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Standardization of Name, Address, Phone, Categories, and Hours across all platforms to ensure consistency.
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Schema Markup Implementation:
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Application of LocalBusiness and FAQPage schema markup where applicable to enhance search visibility.
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60-Day Performance Tracking:
- Monitoring of GBP impressions, clicks, and direction requests.
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Conducting manual AI visibility checks on ChatGPT, Gemini, and Perplexity for related local search queries.
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Before/After Report:
- A comprehensive PDF report summarizing the entire process, showcasing before and after data, which will be shared publicly upon completion.
Participation Requirements
To be eligible for this case study, businesses must meet the following criteria:
- Operate from a fixed physical address.
- Belong to any industry or vertical, though those experiencing common “near me” queries—such as healthcare, food services, and retail—are ideal participants.
- Grant access to their Google Business Profile and permission to publish the findings, either anonymized or named based on participant preference.
How to Get Involved
If you are interested in this opportunity or have any questions regarding the methodology, please feel free to reach out. You can comment below or send me a direct message with your business type to claim one of the available spots:
- Spot 1: Open
- Spot 2: Open
- Spot 3: Open
This is an excellent chance for businesses to gain valuable insights into enhancing their local search visibility while contributing to an important research initiative in the evolving world of AI and local search engines. I look forward to your participation!
