Deeto

A one-sentence summary

Deeto is an AI-based customer voice and customer orchestration platform designed for B2B companies; it uses AI-driven interviews and multiple data sources to continuously gather genuine feedback, and then delivers insights, customer evidence, recommendations, and automated actions to the sales, marketing, product, and customer success processes.

Tool Introduction

Deeto is operated by Deeto Inc.; it initially focused on customer advocacy and referral management, but has since evolved into a system that covers customer research, experience, evidence, trends, and lifecycle management. It connects people, accounts, content, interactions, and business outcomes to create continuously updated customer insights.

The product is not a questionnaire generator designed for individuals, nor does it offer an online option for self-purchase. Companies usually schedule a 20 to 30-minute demonstration first, and then place an order based on the scale of the client’s operations, the scope of the project, the various modules required, as well as the needs related to integration and security.

Core architecture of the platform

Listen: Continuously collect customer feedback

Listen continuously captures customer signals from conversations, feedback, product usage, and interactions, rather than relying on annual surveys or one-time requests for information. The platform can automatically initiate the appropriate data-collection processes at key stages in the customer lifecycle, such as onboarding, adoption of new features, contract renewal, and completion of support requests.

• Aggregate signals from CRM, surveys, reviews, support, products, and communication tools.
• Structured and comparable responses are obtained through questionnaires.
• Use AI-driven interviews to explore the context, reasons, and the customer’s own expressions.
• Associate feedback with specific individuals, accounts, products, and stages of the life cycle.
• Identify potential advocates based on NPS, usage behavior, or CRM events.
• Use clear opt-in and consent mechanisms to control subsequent communications and the use of content.

AI Interview Agent

The AI Interview Agent adjusts the interview based on the participant’s role, the company, the relationship background, and the responses given, without being confined to a fixed sequence of questions. Teams can choose specialized interview types such as those for winning deals, dealing with customers who are leaving, or retaining customers, or they can use the general-purpose interview Agent.

Audience and trigger

Audiences can be added via CSV, the existing People Pool, or CRM dynamic criteria; events can run immediately, on a scheduled basis, or as a regular occurrence. The official documentation recommends providing LinkedIn details to enhance personalization, which involves additional processing of personal data and requires appropriate authorization first.

The differences between questionnaires and AI interviews

Custom Briefs and Brief Agent

Custom Briefs was launched in May 2026; it allows for the creation of tailored AI interviews based on current decision-making needs. Users can have the AI Assistant assist in drafting the brief by asking 3 to 5 clarifying questions, or they can specify the questions that must be asked, so that the interactive interview proceeds with adaptive follow-up questions solely within the approved script.

• Renewal research: Identifying frictions, value, and risks prior to renewal.
• Feedback after release: Interview the first group of customers who use the new feature.
• Risk of loss: Investigate in depth the reasons behind the identified signals of low engagement.
• Event review: Gather participants’ genuine feedback after the event.
• Win/Loss Analysis: Investigating the factors that drive customers’ or unconverted prospects’ decisions.
• Detailed validation: Determine whether there is a real demand for new markets, roles, or use cases.
• Customer advocacy: Determining who is willing to participate in case studies, provide evaluations, or make recommendations.
• Quarterly VoC: Establish a consistent schedule for customer voice research.

Learn and AI Knowledge Hub

Learn organizes disparate customer data into a shared Customer Intelligence Graph, linking together people, accounts, interactions, assets, history, and contributions. The AI Knowledge Hub serves as a searchable knowledge layer that helps teams understand customers based on topics, emotions, and business context.

• Centralize People, Accounts, and Assets in a shared memory.
• Retain information on who provided each insight, when it was provided, and the context at that time.
• Use AI to summarize the theme, emotions, and business context, but retain the original evidence for review.
• Apply permissions, approvals, and consents to prevent insights from being disseminated beyond authorized limits.
• Track which customer evidence is being used, by whom, and which processes it affects.
• Link customer engagement with Pipeline, Retention, and Growth outcomes.

Analyze and AI Insights Agent

Analyze is used to measure the impact of customer feedback on the pipeline, contract renewals, expansion efforts, and revenue, as well as to identify changes in emotions, themes, and behaviors. The AI Insights Agent can directly answer questions related to performance, trends, and outcomes, based on real customer data.

Experience and trend identification

Experience links emotions, adoption, and value realization signals to help teams identify customer risks, momentum, and opportunities. Trends, on the other hand, compares changes from a temporal, demographic, and life-cycle perspective, rather than merely showing static scores from a single survey.

• Customer Adoption: Observe the actual use of features, processes, and projects.
• Sentiment Analysis: Identifying satisfaction, confidence, frustration, and friction.
• Value Realization: Monitoring whether customers achieve the expected business outcomes.
• Lifecycle Signals: Monitor changes in the experience from onboarding to contract renewal.
• Churn Prediction: Links low adoption, negative sentiment, and value gap.
• Revenue Trends: Compare customer signals with Pipeline, expansion, and retention.
• Product Trends: Tracking feedback and perceived value following version changes.
• Executive Dashboards: Provide leaders with a unified view of trends and risks.

Evidence: Customer evidence and content

Evidence transforms real customer experiences into approved, trackable sales and marketing evidence. This content can include quotes, customer stories, video testimonials, impact studies, and ROI data, while always maintaining a connection to the original customer experience.

Activate and Buyer Microsites

Activate will, based on the buyer, account, role, and current time, deliver the appropriate customer stories, evidence, or insights to the sales and marketing workflows. The Buyer Microsite can provide proof of credentials, contracts, security documents, pricing materials, and other collateral specific to a particular set of prospects.

• Automatically select relevant customer stories based on industry, persona, use case, and deal stage.
• Personalized Microsites are created or sent as a result of CRM events.
• Insert customer evidence into the sales sequence, Enablement documents, and website.
• On a single page, case studies, security details, pricing, and other procurement information are available.
• Track buyers’ visits and interactions with the evidence and Microsite.
• After the content library is updated, it is synchronized to multiple distribution locations.
• Write the results of evidence utilization back into CRM to measure its impact on the Pipeline.

Orchestration and customer projects

Orchestration coordinates the actions of various parties based on lifecycle events, customer preferences, and team requirements, thereby preventing sales, marketing, and customer success teams from making duplicate requests to the same customer. It covers aspects such as referrals, rewards, and cross-team automation.

Reference customer matching

Deeto takes into account customer profiles, history of engagement, emotions, as well as products and use cases, in order to find relevant references for sales opportunities. When making matches, it is not sufficient to look for companies in similar industries; it is also necessary to consider whether the customer is willing to engage, the frequency of their requests, and any relationship-related risks.

1. Sales submits reference requests and prospect background in CRM or Deeto.
2. The system filters for products, industries, regions, roles, and customers with similar success outcomes.
3. The project leader checks the candidates’ consent, activity level, and recent engagement volume.
4. Send invitations to customers that include clear information regarding the purpose, duration, and privacy policies.
5. After confirmation by both parties, communication will be arranged or the approved customer evidence will be sent.
6. After completion, record the participants, feedback, and the impact on sales opportunities.
7. Control the frequency of subsequent requests and provide customers with a way to exit or adjust their preferences.

Main workspace interface

The new interface for 2026 organizes daily tasks around Pending Items, Prospect Hub, Knowledge Hub, and Workflows. It separates content approval, recommended campaigns, sales opportunities, customer knowledge, and campaign execution from one another, thereby reducing the need to navigate through multiple old pages.

Complete usage process

1. Identify the first business objective, such as case collection, win/loss analysis, or reference management.
2. Connects CRM with the necessary investigation, support, product, and communication tools.
3. Synchronize People, Accounts, and historical assets, and verify field and permission mappings.
4. Configure opt-in settings, content usage scope, contact frequency, as well as rules for review and deletion.
5. Create a questionnaire, AI Interview, or Custom Brief, and select the target audience.
6. First, test the accuracy of invitations, interviews, and content generation with a small group of customers.
7. Review the assets in the Knowledge Hub to verify the citations, facts, and customer approvals.
8. Activate content via CRM, sales tools, Microsite, or website.
9. Check participation, content usage, and business results in Analyze and Trends.
10. Adjust the pace based on customer feedback, and gradually expand to more life cycle processes.

Integration capability

Which users are it suitable for

• Customer Marketing team: Scaling cases, evaluations, advocacy, and customer projects.
• Sales Enablement team: Helps sales teams locate the most relevant customer evidence for each opportunity.
• Customer Success Team: Identifying risks related to emotions, adoption, value, and renewal at an earlier stage.
• Product team: Identify themes from interviews and usage data, and validate the Roadmap.
• Product marketing team: Improve positioning, messaging, and competitive content in the language of customers.
• Research team: Continuously conduct qualitative research and maintain information about the participants.
• Revenue leader: Links Reference, content usage, and Pipeline results.
• Companies with high compliance requirements: they need approval, permissions, auditing, and integration with the enterprise system.

Typical use cases

• Automatically invite newly onboarded clients to participate in AI interviews and generate reviewed case studies.
• Conduct win/loss studies for appropriate roles after Closed Won or Closed Lost.
• Identify potential Advocates from high NPS and positive product usage signals.
• To activate sales opportunities, relevant customer references are matched to control the request load.
• Automatically generate a Buyer Microsite with customer evidence based on Persona.
• By combining the topics of interviews, emotions, and product adoption, it is possible to identify risks of customer churn.
• Track the impact of customer evidence on opportunities, renewals, expansion, and revenue.
• Allow internal agents to query customer insights within their authorized scope via MCP.

Product advantages

• Integrate the collection, knowledge management, analysis, distribution, and archiving of customer voices within a single system.
• The AI Interview Agent can ask follow-up questions based on the answers, thereby obtaining more context than with a fixed questionnaire.
• The Customer Intelligence Graph maintains the relationships between individuals, accounts, histories, and original evidence.
• It simultaneously serves the marketing, sales, product, customer success, and research teams.
• It offers extensive integration with CRM, Enablement, community, product, survey, and CMS tools.
• Reference Management takes into account matching, willingness to participate, and customer capacity.
• Custom Briefs ensures that the interviews focus on current decisions rather than generic templates.
• SOC 2 Type II, HIPAA, GDPR readiness, and enterprise identity management are suitable for security audits.

Usage restrictions and precautions

• The official website does not disclose standard prices; in the early stages of selection, it is necessary to obtain a quote through the sales process.
• This is a corporate platform; for small teams that only need simple surveys, it might be an overkill to use it.
• AI-generated summaries, emotion assessments, and churn predictions may be inaccurate; for critical decisions, it is necessary to refer back to the original customer feedback.
• There must be a legal basis for personalizing interviews using LinkedIn and CRM data.
• Before releasing the customer’s evidence, it is necessary to verify the content, signature, channel, deadline, and withdrawal mechanism.
• Over-inviting satisfied customers can lead to Advocate fatigue and damage relationships.
• Inaccurate cross-system identity matching and field synchronization can lead to erroneous triggers and incorrect attribution of errors.
• An income impact analysis may show a correlation, but it cannot automatically prove that the customer’s content is responsible for the sales.
• MCP expands the scope of accessible insights, and it is necessary to control permissions by user, account, and purpose.
• The specific two-way capabilities of third-party integration as well as any additional fees need to be confirmed item by item during the demonstration.

Price and procurement methods

As of August 22, 2026, Deeto does not disclose any fixed monthly or annual fees, minimum subscription requirements, or free trial amounts. The official website requires an appointment for a demonstration, and it is stated that the prices will vary depending on the scale of the B2B project, as well as the organization and specific use cases.

Companies should require that sales quotes clearly specify the modules included, the AI quota, the limits on contacts or accounts, integration services, implementation efforts, support offerings, data export options, and the procedures for contract termination. Do not try to estimate Deeto’s actual prices by referring to comparisons from third parties.

Supported platforms

Data security and privacy

Deeto states that it has completed a SOC 2 Type II audit, meets HIPAA compliance requirements through independent audits, and is GDPR-ready. Its enterprise features include SSO, SCIM, audit logs, usage tracking, consent management, as well as options for data residency and retention.

• The platform utilizes standard cloud infrastructure, with AWS being given as an example.
• Services are isolated by environment, and redundancy, disaster recovery, and availability monitoring are provided.
• Key activities are recorded in the audit log, allowing administrators to view usage and content history.
• Customer input and content are collected, used, and distributed through explicit opt-in.
• The organization and Deeto may assume the roles of controller or processor for different data respectively.
• DPA restrictions define the purposes for which personal data handled on behalf of clients can be used, and prohibit its sale or sharing.
• Data retention shall address business, legal, dispute, and contractual requirements, and the specific duration should be specified in the contract.
• Participants may request access, correction, deletion, or restriction of processing in accordance with applicable laws.
• Medical and life sciences clients still need to confirm the BAA, the scope of PHI, and the specific deployment configuration.

API, MCP, and open-source status

Deeto has made the capabilities of its MCP Server available to the public, allowing Claude or custom agents to access the customer feedback generated by Custom Briefs. The official website does not provide documentation for general REST APIs that can be used for public registration, nor does it offer official SDK packages or pricing information for developers; the specific interfaces have to be determined during the sales and implementation phases.

As of the time of verification, no official GitHub organization, complete source code for the platform, or open-source license could be found. Deeto is a commercial, closed-source SaaS product; the ability to integrate MCP does not mean that the source code for the platform, customer knowledge graphs, or AI Agents is made available.

Basic information

Recommendation score

It receives a rating of 4.3 out of 5 points. Deeto is suitable for medium to large B2B companies that already have CRM systems, customer management frameworks, and cross-team collaboration needs, and that wish to connect interviews, customer evidence, references, trends, and revenue data together.

The main shortcomings are the opaque pricing and interfaces, as well as the need for high-quality data, appropriate permissions, and customer consent to carry out the process. For small teams that require only one survey or a limited number of cases, lightweight questionnaires together with CRM processes may be a more cost-effective solution.

Frequently Asked Questions

What is Deeto?

Deeto is an enterprise AI platform for customer voice and customer orchestration, linking feedback collection, customer knowledge, trend analysis, customer evidence, references, and automated workflows.

Is Deeto free?

The official website does not disclose any information regarding a free version or a free trial period. Companies need to schedule a demonstration, and a customized quote will be provided based on the scale of the project and the specific modules involved.

What is the price of Deeto?

There is no fixed public price; according to official statements, the cost will vary depending on the scale of the project and its specific requirements. When obtaining a quote, it is necessary to take into account the modules involved, the amount of AI resources required, integration needs, implementation processes, support services, and data export options.

What is an AI Interview Agent?

It will pose follow-up questions dynamically based on the customer’s identity, relationship history, and real-time responses, and is used for case studies, analysis of wins and losses, contract renewals, as well as product and customer research. The output still requires manual verification.

What can Custom Briefs do?

It allows teams to create custom interview briefs focused on renewal, launches, churn, campaigns, or segment validation. Users can have the Brief Agent assist in designing these briefs, and they can also specify the questions that must be asked.

Does Deeto support the management of customer referers?

Yes, the platform can match relevant customers to sales opportunities, send out invitations, track participation, and control the frequency of requests. The quality of these references also depends on customer relationships and project management.

Can customer cases be generated?

Citations, stories, video testimonies, and impact materials can be generated from questionnaires and AI interviews. Before publication, the team must review the facts, attributions, and scope of authorization together with the client.

Which integrations does Deeto support?

The authorities have listed various categories such as Salesforce, HubSpot, Slack, Salesloft, Gainsight, Zendesk, Pendo, Amplitude, Qualtrics, G2, and Webflow. The specific fields and bidirectional capabilities need to be verified one by one.

Does Deeto have an API?

The official website does not disclose any universal REST APIs or pricing details for developers; enterprise integration capabilities may be available through specific projects. Currently, an MCP Server is available for retrieving insights related to authorized customers.

Is Deeto open source?

It is not open source; no official source code repository or open source license has been found. The integration of MCP with CRM merely means that a connection is possible, but it does not imply that the platform’s code is available publicly.

Which companies are suitable?

It is most suitable for companies that have a large number of B2B clients, face complex sales cycles, and work on client projects that involve multiple departments. Teams that only need simple questionnaires or a few testimonials may not require a full-fledged platform.

Is it compliant with HIPAA and GDPR?

The official website states that it is HIPAA compliant, SOC 2 Type II compliant, and GDPR-ready. For medical or cross-border projects, a security review is still required, and the terms of BAA, DPA, data retention locations, and retention periods must be specified in the contract.

Summary

Deeto transforms customer feedback from fragmented inputs into a continuous system that links people, accounts, content, trends, and business actions. Its AI-driven interviewing capabilities, knowledge graphs, evidence management tools, reference functions, and orchestration abilities are suitable for mature B2B customer projects.

Before making a purchase, it is necessary to identify a high-value use case and conduct a limited-scale test using actual CRM systems and target audiences; thereafter, the accuracy, customer experience, process efficiencies, and impact on the sales pipeline should be evaluated. Price, AI usage limits, data access rights, and exit procedures must all be specified in the order.