MEO Analysis Tool "MEO SCOPE" Launched. Japan's First* to Visualize Market "White Spaces" with Google Official Data x AI.
MainC Co., Ltd. has launched "MEO SCOPE," Japan's first MEO analysis tool. It combines Google's official data with AI to visualize market demand, competitive structures, and "white spaces" in local searches, supporting data-driven decision-making for store businesses.
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- 📰 Published: April 27, 2026 at 21:00
- 🔍 Collected: April 27, 2026 at 12:31
- 🤖 AI Analyzed: April 27, 2026 at 12:43 (11 min after Collected)
MainC Co., Ltd. (Representative Director: Tsuji, hereinafter referred to as "the Company") has commenced the provision of "MEO SCOPE," a next-generation store strategy platform that evolves local search (MEO) initiatives from "intuition" to "data analysis."
"MEO SCOPE" is a platform that combines the Company's accumulated operational data from over 5,000 stores with Google Maps Platform's official data analysis solution "Places Insights in BigQuery" and AI. It automatically visualizes and reports area-wide demand, competitive structures, and market "white spaces."
Whereas conventional MEO tools only showed "one's own store's ranking (a point)," "MEO SCOPE" offers a perspective that grasps the entire market as a "surface."
It supports all decision-making for store businesses with data, from selecting locations for new store openings and relocations, improving the performance of existing stores, competitor analysis, to streamlining sales activities.
■ Background of Development: Evolving MEO from "Intuition" to "Market Intelligence"
In the field of MEO, when ranking fluctuations occur, improvements are often made by trial and error, with unclear reasons for "what caused it" and "what needs to be fixed." Furthermore, in critical management decisions such as new store openings or relocations, reliance on the experience and intuition of the person in charge is common, with investments worth tens of millions to hundreds of millions of yen being made without objective data.
Existing MEO tools are specialized for "point" management, focusing on managing one's own store's ranking and reviews, lacking means to grasp changes in overall market demand or competitor trends. Data from Google Places Insights, necessary for analyzing the entire market, has previously only been available to real estate developers and large chains making significant investment decisions.
"MEO SCOPE" has productized this data into a SaaS offering, creating an environment where all store businesses can access "overall market data." By combining the knowledge accumulated from managing over 5,000 stores with AI, it identifies the structural causes behind ranking fluctuations and enables reproducible improvement decisions.
■ The "Biggest Risk" in Store Opening Decisions Was the Lack of Data
Store opening and relocation decisions in the retail business are irreversible choices that affect management for several years once made. Despite this, data from the perspective of "can we beat local search competitors in that area?" has been almost non-existent until now.
While trade area data such as demographics and traffic volume have been utilized, the reality of online customer acquisition – "which keywords users search for on Google Maps and which competitors they flock to" – has been completely missing from store opening decision factors. As a result, there are countless cases where businesses only realize after opening that "this area is crowded with strong competitors" or "there was little search demand necessary for customer acquisition."
Deciding to open a store without data is not merely "lack of information." The risks invariably materialize in the form of unrecoverable investment costs, additional expenses for withdrawal/relocation, and burdens on frontline staff.
MEO SCOPE aims to fundamentally change the structure of "realizing after opening." By visualizing search demand, competitor density, and market "white spaces" before opening, it enhances the accuracy of investment decisions and contributes to increasing the number of stores that are "glad they opened."
■ Key Features of "MEO SCOPE"
1) Area Market Diagnosis and White Space Discovery (Areas with high demand and low competition)
AI analyzes surrounding POI (Points of Interest) data obtained from Places Insights, displaying the demand and quality/quantity of competitors in a specified area as a heatmap on a map. It instantly identifies "areas with high search volume but few highly-rated competitors" or "white spaces where specific needs are unmet." It determines before opening whether "this is an area where we can attract customers" and "can we aim for a high ranking in MEO" based on data. It also supports output for proposal documents, accelerating decision-making.
* Use cases: Comparison of new store candidate locations / Creation of proposal documents for store opening/relocation / Area proposals for franchise development.
2) AI-driven Automated Reporting and Improvement Suggestions
Combining Places Insights data and AI, it automatically diagnoses the current status of a store's MEO measures. It presents prioritized suggestions on "what is missing" and "what to do for the fastest ranking improvement." While many tools merely present data, leaving the question "So, what should I do?", MEO SCOPE provides a "diagnosis and prescription" set.
* Use cases: Automatic generation of proposal documents for MEO agencies/consultants / Regular diagnostic reports for existing clients / Improvement suggestions.
"MEO SCOPE" is a platform that combines the Company's accumulated operational data from over 5,000 stores with Google Maps Platform's official data analysis solution "Places Insights in BigQuery" and AI. It automatically visualizes and reports area-wide demand, competitive structures, and market "white spaces."
Whereas conventional MEO tools only showed "one's own store's ranking (a point)," "MEO SCOPE" offers a perspective that grasps the entire market as a "surface."
It supports all decision-making for store businesses with data, from selecting locations for new store openings and relocations, improving the performance of existing stores, competitor analysis, to streamlining sales activities.
■ Background of Development: Evolving MEO from "Intuition" to "Market Intelligence"
In the field of MEO, when ranking fluctuations occur, improvements are often made by trial and error, with unclear reasons for "what caused it" and "what needs to be fixed." Furthermore, in critical management decisions such as new store openings or relocations, reliance on the experience and intuition of the person in charge is common, with investments worth tens of millions to hundreds of millions of yen being made without objective data.
Existing MEO tools are specialized for "point" management, focusing on managing one's own store's ranking and reviews, lacking means to grasp changes in overall market demand or competitor trends. Data from Google Places Insights, necessary for analyzing the entire market, has previously only been available to real estate developers and large chains making significant investment decisions.
"MEO SCOPE" has productized this data into a SaaS offering, creating an environment where all store businesses can access "overall market data." By combining the knowledge accumulated from managing over 5,000 stores with AI, it identifies the structural causes behind ranking fluctuations and enables reproducible improvement decisions.
■ The "Biggest Risk" in Store Opening Decisions Was the Lack of Data
Store opening and relocation decisions in the retail business are irreversible choices that affect management for several years once made. Despite this, data from the perspective of "can we beat local search competitors in that area?" has been almost non-existent until now.
While trade area data such as demographics and traffic volume have been utilized, the reality of online customer acquisition – "which keywords users search for on Google Maps and which competitors they flock to" – has been completely missing from store opening decision factors. As a result, there are countless cases where businesses only realize after opening that "this area is crowded with strong competitors" or "there was little search demand necessary for customer acquisition."
Deciding to open a store without data is not merely "lack of information." The risks invariably materialize in the form of unrecoverable investment costs, additional expenses for withdrawal/relocation, and burdens on frontline staff.
MEO SCOPE aims to fundamentally change the structure of "realizing after opening." By visualizing search demand, competitor density, and market "white spaces" before opening, it enhances the accuracy of investment decisions and contributes to increasing the number of stores that are "glad they opened."
■ Key Features of "MEO SCOPE"
1) Area Market Diagnosis and White Space Discovery (Areas with high demand and low competition)
AI analyzes surrounding POI (Points of Interest) data obtained from Places Insights, displaying the demand and quality/quantity of competitors in a specified area as a heatmap on a map. It instantly identifies "areas with high search volume but few highly-rated competitors" or "white spaces where specific needs are unmet." It determines before opening whether "this is an area where we can attract customers" and "can we aim for a high ranking in MEO" based on data. It also supports output for proposal documents, accelerating decision-making.
* Use cases: Comparison of new store candidate locations / Creation of proposal documents for store opening/relocation / Area proposals for franchise development.
2) AI-driven Automated Reporting and Improvement Suggestions
Combining Places Insights data and AI, it automatically diagnoses the current status of a store's MEO measures. It presents prioritized suggestions on "what is missing" and "what to do for the fastest ranking improvement." While many tools merely present data, leaving the question "So, what should I do?", MEO SCOPE provides a "diagnosis and prescription" set.
* Use cases: Automatic generation of proposal documents for MEO agencies/consultants / Regular diagnostic reports for existing clients / Improvement suggestions.