# Stellagent - Full Information

> Building trusted infrastructure between AI and commerce.

Last updated: 2026-08-26

Stellagent, Inc. (ステラジェント株式会社) is a Japanese infrastructure company that develops data connectivity and transaction platforms for the AI commerce era. We build the systems that enable AI agents to discover, compare, and transact products — and help commerce businesses become AI-ready.

## Mission

Building trusted infrastructure between AI and commerce. (AIとコマースの間に、信頼できるインフラを。)

## Products

### Stella — Customer Support AI Agent

Stella is a customer support AI agent built for retail and e-commerce. It resolves first-line inquiries end to end — not just answering, but completing procedures such as delivery-date changes, returns, and size exchanges.

- Understands intent behind vague inquiries by referencing product data, policies, and order history
- Resolves the majority of routine inquiries automatically, then hands off only judgment cases to human agents
- Omnichannel: chat, LINE, email, and phone with a single agent
- Learns automatically from every interaction and keeps improving after launch
- Usage-based pricing not tied to seat counts; cuts support costs by up to 50% (typically 20–50%)
- English page: https://stellagent.ai/stella
- Japanese page: https://stellagent.ai/ja/stella

### Stella AI Search — LLMO / GEO / AI Search Optimization

Stella AI Search is an LLMO / GEO / AI search optimization service built for retail and e-commerce. It makes products and company information readable, understandable, and recommendable by AI assistants such as ChatGPT, Gemini, Perplexity, and Copilot.

- AI visibility audit: measures how major AIs actually present your company and products versus competitors (share of voice, recommendation rate, answer accuracy)
- AI crawler and technical setup: robots.txt, sitemaps, and WAF/CDN bot rules designed to let AI crawlers in while blocking malicious bots
- Machine-readable information structure: structured data (Organization / Product / FAQ), consistent naming, prices, and specs
- Product catalog connections: feed design, application, and integration support for OpenAI product feeds, the Perplexity Merchant Program, Google Merchant Center, and Microsoft
- High-priority page improvements rather than mass article production
- Automated measurement: scheduled API queries to major AIs tracking visibility before and after improvements
- Free AI visibility audit available
- English page: https://stellagent.ai/ai-search
- Japanese page: https://stellagent.ai/ja/ai-search

#### Stella AI Search Lab / Stella AI検索ラボ

The Stella AI Search Lab is a public bilingual research dashboard focused on retail that repeatedly observes how generative AI recommends products and retailers. It publishes retailer coverage, first-position rate, Top 3 rate, product-link exposure, category comparisons, and individual shop reports. The source queries are submitted in Japanese and retained as primary evidence.

- English dashboard: https://stellagent.ai/ai-search/lab
- Japanese dashboard: https://stellagent.ai/ja/ai-search/lab
- Overall retailer ranking: https://stellagent.ai/ai-search/lab/overview
- Shop reports: https://stellagent.ai/ai-search/lab/shops

### Agentic Commerce Studio — AI Agent Shopping Validation Environment

Agentic Commerce Studio is a browser-based environment for experiencing and validating agentic commerce flows.

- Lets teams experience AI agent shopping flows from product discovery and inventory checks to checkout and payment preparation
- Helps merchants, payment service providers (PSPs), and EC platforms understand readiness for agentic commerce
- Provides a practical entry point for demos, joint proof-of-concept projects, validation reports, and implementation planning
- English page: https://stellagent.ai/agentic-commerce-studio
- Japanese page: https://stellagent.ai/ja/agentic-commerce-studio

### Presso — Data Hub

Presso is a data hub that integrates e-commerce, advertising, analytics, and customer data into a unified, AI-optimized connectivity layer.

- Integrates data across EC platforms, ad networks, analytics tools, and CRM systems
- Provides AI-ready data architecture for agents and assistants
- Enables cross-functional analysis, recommendations, and automated decision-making
- Real-time data processing and synchronization
- Website: https://presso.now

## Related Initiatives

- **Omise AI**: EC shop integration within ChatGPT, enabling AI-powered product discovery and transactions (launched December 2025)
- **ACP Implementation Support**: Service helping businesses adopt the Agentic Commerce Protocol (launched October 2025)

## Target Customers

1. **Merchants & Retailers**: E-commerce businesses looking to make their product data and systems AI-ready
2. **Payment Service Providers (PSPs)**: Payment companies needing AI-era transaction infrastructure
3. **EC Platforms**: E-commerce platforms seeking AI agent integration capabilities

## Company Information

- Legal Name: Stellagent, Inc. (ステラジェント株式会社)
- Founded: February 22, 2022 (originally as ASMA, Inc., rebranded July 2025)
- CEO: Akihiro Suzuki (鈴木 章広)
- Corporate ID (法人番号): 7021001075287
- Location: Ocean Gate Minatomirai 8F WeWork, 3-7-1 Minatomirai, Nishi-ku, Yokohama, Kanagawa 220-0012, Japan

## Key Milestones

- 2022.02: Founded as ASMA, Inc.
- 2022.03: Began generative AI R&D
- 2023.03: Developed chatbot system for major payment institution
- 2025.07: Rebranded to Stellagent, Inc.
- 2025.10: Launched ACP implementation support service
- 2025.12: Launched Omise AI (ChatGPT EC integration)
- 2026.03: Aurora and Omise AI unified under Presso brand
- 2026.06: Launched Stellagent Research, publishing citable original survey reports
- 2026.07: Launched Stella AI Search, an LLMO / GEO / AI search optimization service for retail and e-commerce

## Website Structure

The website is bilingual (English and Japanese).

### English Pages
- Home: https://stellagent.ai/
- Stella (customer support AI agent): https://stellagent.ai/stella
- Stella AI Search (LLMO / GEO / AI search optimization): https://stellagent.ai/ai-search
- Agentic Commerce Studio: https://stellagent.ai/agentic-commerce-studio
- News: https://stellagent.ai/news
- Research: https://stellagent.ai/research
- Insights: https://stellagent.ai/insights
- Company: https://stellagent.ai/company
- Contact: https://stellagent.ai/contact
- Privacy Policy: https://stellagent.ai/privacy

### Japanese Pages
- Home: https://stellagent.ai/ja
- Stella (customer support AI agent): https://stellagent.ai/ja/stella
- Stella AI Search (LLMO / GEO / AI search optimization): https://stellagent.ai/ja/ai-search
- Agentic Commerce Studio: https://stellagent.ai/ja/agentic-commerce-studio
- News: https://stellagent.ai/ja/news
- Research: https://stellagent.ai/ja/research
- Insights: https://stellagent.ai/ja/insights
- Company: https://stellagent.ai/ja/company
- Contact: https://stellagent.ai/ja/contact
- Privacy Policy: https://stellagent.ai/ja/privacy

## Insights & Research

Stellagent publishes in-depth analysis on AI commerce trends, including:

- Agentic commerce protocol developments
- AI agent authentication and identity infrastructure
- Enterprise AI shopping strategies (Walmart, Coupang, etc.)
- Machine payment protocols and infrastructure (Visa, Stripe, etc.)
- Creator-focused AI commerce platforms

All insights are available at: https://stellagent.ai/insights

### Research Reports (Stellagent Research)

Stellagent Research publishes original, citable survey reports on the AI-readiness of official booking and commerce sites across industries. Reports may be cited or reproduced with attribution to "Stellagent Inc." and a link to the report page.

Reports are listed newest first. Each report number is a permanent identifier.

- Report 007 — Which Electronics Retailer Does AI Recommend for Refrigerators? (surveyed July 17, 2026): https://stellagent.ai/research/refrigerator-retailer-ai-recommendation-survey-202607
  - 150 refrigerator purchase consultations across 5 generative AI services yielded 735 recommendation rows.
  - In retailer-only national comparisons (75 answers), Yamada Denki led on ranking points (235) while K's Denki led on first-place recommendations (32) — the "most recommended retailer" changes depending on the metric.
  - Energy efficiency was mentioned in only 3 of 75 answers, despite delivery/installation and in-store consultation appearing in every answer.

- Report 006 — Which Electronics Retailer Does AI Recommend for Washing Machines? (surveyed July 15, 2026): https://stellagent.ai/research/washing-machine-retailer-ai-recommendation-survey-202607
  - 150 consultations yielded 740 recommendations. Yodobashi Camera led on ranking points (240), K's Denki on first-place recommendations (28), and Bic Camera on total mentions (68).
  - Installation prerequisites were frequently omitted: water taps appeared in 43 of 75 answers, drain pans in 45, and drum-type vs. top-load in 28.

- Report 005 — Which Electronics Retailer Does AI Recommend for Air Conditioners? (surveyed July 13, 2026): https://stellagent.ai/research/aircon-retailer-ai-recommendation-survey-202607
  - 150 consultations yielded 719 recommendations. K's Denki led on all three metrics: ranking points (261), total mentions (73), and first-place recommendations (34).
  - Bic Camera was mentioned 72 times but received zero first-place recommendations.
  - Room conditions such as floor area appeared in only 5 of 75 answers.

- Report 004 — AI Readiness of Support Channels at Japan's 7 Major Electronics Retailers (surveyed July 10, 2026): https://stellagent.ai/research/electronics-retailer-support-ai-survey-202607
  - 5 of 7 retailers offer a conversational support channel (chat, LINE, automated response, or chatbot); 4 of 7 carry the user through to a next action such as a repair request.
  - Only 1 retailer (Nojima) offers free-text AI chat, and only 1 (Yamada HD) reached Phase 4 procedure support.
  - Phase 5 "agentic" support — completing procedures using purchase history and warranty data — was found at zero retailers.

- Report 003 — Which Hotels Does AI Recommend? Okinawa Edition (surveyed July 2, 2026): https://stellagent.ai/research/okinawa-hotel-ai-recommendation-survey-202607
  - 125 consultations produced 625 recommendation slots, all of which resolved to a named property (zero non-property answers); 84 distinct properties appeared.
  - The top 5 properties accounted for 44.2% of all recommendation slots. Halekulani Okinawa led with 122 recommendations and 60 first-place recommendations.
  - Microsoft Copilot concentrated on 20 properties while Perplexity spread across 41, showing large per-service differences in recommendation breadth.

- Report 002 — Which Hotels Does AI Recommend? Hakone Edition (surveyed July 1, 2026): https://stellagent.ai/research/hakone-hotel-ai-recommendation-survey-202607
  - 125 consultations produced 621 valid property recommendations across 114 distinct properties — roughly 25.1% of the 454 accommodations in Hakone.
  - The top 5 properties accounted for 31.1% of valid recommendations. Fujiya Hotel led with 51 recommendations; Gora Kadan led on first-place recommendations with 19.
  - Recommended properties changed clearly by travel scenario (families with children, inbound travelers, adult family trips).

- Report 001 — The State of AI Adoption on Hotel Booking Sites: A Survey of Japan's 15 Major Hotel Groups (surveyed June 26, 2026): https://stellagent.ai/research/hotel-booking-ai-survey-202606
  - Of 15 major Japanese hotel groups, 12 use AI/chatbots, but none offered an AI-driven candidate-suggestion flow for hotel selection (Phase 3+ = 0).
  - Among 7 major global groups, 6 (Hilton, Hyatt, Marriott, IHG, Wyndham, Accor) have implemented or are piloting AI-driven hotel selection via official channels including websites, apps, and ChatGPT apps.
  - Booking-and-payment completion within the conversation (Phase 5) was found in neither Japan nor abroad.

All research reports are available at: https://stellagent.ai/research
The Japanese version of every report lives at the same path prefixed with /ja, for example https://stellagent.ai/ja/research/hotel-booking-ai-survey-202606