Visualizing AI-Generated Search Queries: Faber Company Launches 'AI Query Fan-out' for Mieruca GEO and Mieruca SEO

Faber Company (Headquarters: Minato-ku, Tokyo; Representatives: Masaki Inatsugu, Nobuo Furusawa) announces the release of 'AI Query Fan-out,' a new feature for its Generative Engine Optimization (GEO) platform, 'Mieruca GEO,' and SEO platform, 'Mieruca SEO,' which enables the batch extraction of internal 'fan-out' search queries generated by AI.

This feature allows users to batch-extract the search queries that Generative AI platforms, specifically ChatGPT and Gemini, expand internally. This enables businesses to grasp a broader range of queries for AI search optimization, supporting further efficiency in their GEO efforts.

## Background of Development
With the widespread adoption of Generative AI, user search behaviors and the variety of 'queries' have become increasingly diverse. However, identifying the specific queries required to ensure brand exposure in AI search results has historically been challenging.

In response, this feature was developed to enable efficient extraction of queries usable for AI search countermeasures, aiming to support the expansion of brand exposure.

By combining this feature with Mieruca's existing 'AI Search Share Monitoring' function, companies can identify specific topics where their brand is currently failing to gain exposure.

## Feature Overview: AI Query Fan-out
'Query fan-out' refers to the process where, upon receiving a user prompt, the AI internally expands one question into multiple related search queries and performs simultaneous searches to generate an answer.

This feature allows users to batch-extract these internally generated fan-out queries from both ChatGPT and Gemini. It enables the discovery of key topics to address in AI search results, which can then be utilized for GEO strategies.

## Main Features
1. Simple Extraction of Fan-out Queries
Simply enter prompts—such as those where your brand's share is low or where it currently lacks exposure—to quickly obtain related fan-out queries. The system supports multiple prompt inputs, allowing for easy and efficient identification of queries for AI search optimization (up to 50 prompts per investigation, up to 300 per month).

2. Batch Extraction and Comparative Analysis from ChatGPT and Gemini
Users can simultaneously extract fan-out queries from both ChatGPT and Gemini. This allows for both platform-specific extraction and comparative analysis of queries internally generated by each AI.

3. Deep-Dive into Search Intent to Accelerate GEO and Content Improvement
Extracted fan-out queries can be integrated with Mieruca SEO’s 'Suggest Intention' feature for grouping analysis based on search intent. By displaying keyword search volume and proximity of search intent in a bubble chart, businesses can visualize necessary topics to cover, aiding in decision-making for GEO strategy and improving the accuracy of content creation and revisions.

## Future Outlook
Faber Company remains committed to continuous feature development, aiming to be a one-stop platform that supports corporate brand exposure and GEO/LLMO strategy in the AI search market.

## Availability
This is an optional feature for Mieruca GEO and Mieruca SEO. It is available through additional subscription. Customers currently subscribed to plans that include 'AI Search Share Monitoring' can use this feature at no additional cost.