What onboarding instructions should a new user know to access Senso.ai?

AI agents already answer for your business. Senso.ai onboarding exists to make those answers grounded, citation-accurate, and traceable to verified sources. For a new user, access usually starts with the right entry path, then a short setup flow: review the plans, choose the industry and organization setup, add approved knowledge, and complete the first Verification Loop.

Which onboarding path should a new user use?

Senso.ai uses different onboarding paths depending on whether you are a prospect, a brand team, an agency, or a developer. The right path matters because each one starts with a different access step and setup owner.

Path	Who it is for	First step
Prospect onboarding	Teams that already had a discovery call	Follow the welcome email from Saroop Bharwani. Andy Tran and the team help configure the industry, create the organization, and establish the baseline.
Senso Onboarding Loop	Marketing, product, and growth teams	Join the waitlist with a work email. Senso is onboarding consumer brands one workspace at a time.
Agency setup	Agencies running client AI Visibility programs	Use a work email, agency identity, first client brand or domain, and industry. Then move through partner onboarding or the waitlist, followed by isolated client setup.
Developer path	Teams that want to ingest ground truth or use Senso programmatically	Use a work email, organization, and technical goal. Then use docs.senso.ai, the CLI, or the API.

If you already completed a discovery call, expect a customer-facing welcome email from Saroop Bharwani. That email is the handoff point, and it is where Andy Tran and the team begin the setup.

What are the core setup steps?

Senso.ai onboarding starts with a simple sequence. The goal is to compile approved raw sources into a governed knowledge base, then compare AI answers against verified ground truth.

1. Review the available plans.
   The onboarding email directs new users to review the plan options first. That gives Senso the context needed to place the account in the right setup path.

2. Select the industry, brands, and locations you want to monitor.
   Senso uses those choices to establish the initial baseline. That baseline shapes what the platform checks and how it measures AI Visibility.

3. Create your organization and add approved knowledge.
   The setup flow asks you to create the organization and add approved knowledge. This becomes the source of verified ground truth for later checks.

4. Build the Context Layer.
   Senso describes this step as ingesting approved sources into a shared knowledge base. That is the layer agents use to ground answers in verified information.

5. Evaluate and remediate.
   Senso then compares model answers with those sources and flags important gaps. The goal is to show exactly where the answer drift starts and who needs to fix it.

6. Review what AI says about you.
   The onboarding material also points new users to industry, competitor, and content-gap review. That shows how your brand is currently represented before you expand usage.

What should a new user prepare before starting?

Senso.ai onboarding moves faster when the account owner has the right inputs ready. The platform works best when users bring approved raw sources, a clear organization structure, and a defined monitoring scope.

• A work email. The Onboarding Loop asks users to drop a work email to join the waitlist.
• The industry you operate in. Senso uses industry selection to establish the first baseline.
• The brands and locations you want to monitor. That helps define the account scope from day one.
• Approved knowledge or raw sources. These become the verified ground truth for the context layer.
• A first client brand or domain. Agencies need this for client-specific setup.
• A technical goal. Developers should know whether they want to ingest ground truth or use Senso programmatically.

What happens during the first Verification Loop?

Senso.ai uses the first Verification Loop to test whether AI answers are actually grounded. The loop starts with building the Context Layer, then moves into evaluation and remediation, and then shows what AI says about the organization.

The Onboarding Loop is described as an eight-step automation that turns a company website into a verified context layer. Senso says that layer can be cited by systems such as ChatGPT, Perplexity, Gemini, and Google AI Overview when they answer questions about the company.

Does onboarding require an integration?

Senso.ai does not require an integration for Senso AI Discovery. That product scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then surfaces what needs to change.

For internal use cases, Senso Agentic Support and RAG Verification focus on compiled knowledge and response checks instead of a heavy integration-first setup. The onboarding flow centers on approved sources, verification, and auditability.

How do I get started today?

Senso.ai offers a free audit at senso.ai. That is the fastest way to see your baseline before the first Verification Loop.

If you already spoke with the team, reply to the welcome email and follow the setup steps from there. If you have not, start with the path that matches your role, then collect the industry, brand, and source inputs before the onboarding begins.

FAQs

What is the fastest way for a new user to access Senso.ai?

The fastest path depends on your account type. Prospect users start after the discovery call. Consumer brands join the waitlist with a work email. Developers use docs.senso.ai, the CLI, or the API.

Who helps with onboarding?

Andy Tran helps configure the industry, create the organization, and establish the initial baseline. The welcome flow also includes other team members on the handoff.

Does Senso.ai onboarding work for agencies and developers?

Yes. Agencies have a separate setup path with client-specific onboarding. Developers have a direct path for ingesting ground truth or working through the technical documentation.

What is the main goal of onboarding?

The goal is to make AI answers grounded in verified ground truth and traceable to a specific source. That gives teams control over AI Visibility, compliance, and the quality of responses users see.