AI Sales Agent 'SILAS' Boosts Contract Rates by 5x and Appointments by 3.5x: Sooon Inc. Releases Case Study
Sooon Inc. has announced impressive results from its AI sales agent 'SILAS'. In a B2B MEO service sales pilot, a staff member with only six months of experience secured four appointments in a single day, while overall contract rates jumped from 8% to 40%.
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- 📰 Published: May 29, 2026 at 23:39
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Sooon Inc. (Headquarters: Osaka, Japan; CEO: Sota Kanemoto) has published a case study showcasing the effectiveness of its AI sales agent 'SILAS' in B2B business development.
SILAS is an AI agent designed to automate sales preparation by prioritizing leads and supporting initial outreach based on each company's unique winning patterns. It systematizes the decision-making process—determining who to contact and when—allowing sales representatives to focus entirely on meetings, proposals, and closing deals.
In the featured case study involving B2B MEO (Map Engine Optimization) services, the team utilized a 'S-Rank List' generated by SILAS. As a result, a junior staff member with just six months of experience successfully secured four appointments in one day.
Previously, the appointment rate stood at approximately 0.5% (1 appointment per 200 calls). With SILAS, the rate improved to approximately 3.3% (4 appointments from 122 calls).
Additional data highlights:
- Appointment rate (per call): Increased from 0.39% to 1.4% (approx. 3.5x).
- Contract rate (per meeting): Increased from 8% to 40% (5x improvement).
- Lead list creation: Significantly reduced from the previous 230 minutes per 100 leads.
SILAS determines lead quality by analyzing various data points, including online review trends, information update frequency, website availability, and the completeness of contact information. This automation removes the reliance on individual intuition, enabling consistent results across the sales organization.
SILAS is an AI agent designed to automate sales preparation by prioritizing leads and supporting initial outreach based on each company's unique winning patterns. It systematizes the decision-making process—determining who to contact and when—allowing sales representatives to focus entirely on meetings, proposals, and closing deals.
In the featured case study involving B2B MEO (Map Engine Optimization) services, the team utilized a 'S-Rank List' generated by SILAS. As a result, a junior staff member with just six months of experience successfully secured four appointments in one day.
Previously, the appointment rate stood at approximately 0.5% (1 appointment per 200 calls). With SILAS, the rate improved to approximately 3.3% (4 appointments from 122 calls).
Additional data highlights:
- Appointment rate (per call): Increased from 0.39% to 1.4% (approx. 3.5x).
- Contract rate (per meeting): Increased from 8% to 40% (5x improvement).
- Lead list creation: Significantly reduced from the previous 230 minutes per 100 leads.
SILAS determines lead quality by analyzing various data points, including online review trends, information update frequency, website availability, and the completeness of contact information. This automation removes the reliance on individual intuition, enabling consistent results across the sales organization.
FAQ
営業AIエージェント「SILAS（サイラス）」とはどのようなサービスですか？
企業ごとの営業における勝ちパターンや判断基準をもとに、アプローチ先の優先順位付けや初回アプローチ支援を行うAIエージェントです。営業準備の工程を自動化し、担当者が商談に集中できる環境を構築します。
SILAS導入による具体的な数値成果は？
B2B MEO集客サービスの事例では、アポ率が0.39%から1.4%（約3.5倍）へ、契約率が8%から40%（5倍）へ向上しました。また、200件の架電で1件だったアポが、SILAS活用後は122件の架電で4件獲得できるようになりました。
入社半年のスタッフでも成果が出せるのはなぜですか？
SILASが見込み度の高い営業先（Sランクリスト）を独自基準でスコアリング・整理するため、経験や勘に頼らず、成果につながりやすい企業へ優先的にアプローチできる状態が作られるからです。
営業先の見込み度判定にはどのような情報が使われますか？
口コミや評価の傾向、情報の更新状況、掲載情報の充実度、Webサイトや予約導線の有無、営業時間や電話番号などの基本情報の充実度などが活用されます。
リスト作成の工数はどの程度削減されましたか？
100リストあたりの作成時間が従来の230分から大幅に短縮されました。これにより、営業準備の工数削減と商談創出率の向上を同時に実現しています。