Senso: AI-Powered Knowledge Base for Customer Support
Senso.ai Inc. · Leaning · Other
Senso is an AI knowledge base that turns company policies, SOPs, and product data into verified answers for support teams, AI agents, and search engines.
About Senso: AI-Powered Knowledge Base for Customer Support
What Is Senso
Senso is an AI knowledge base for customer support and other agent workflows. It ingests the documents a company already trusts, such as policies, procedures, rate sheets, and help center articles, then compiles them into one source of truth that both people and software can query. Every answer carries a citation back to the document it came from.
The problem it targets is drift. Support teams answer from outdated pages, internal copilots invent details, and public AI tools cite competitors or random aggregators instead of the company itself. Senso evaluates those answers, flags gaps and conflicts, and gives teams a workflow to fix the source material before publishing a corrected version.
The main limit is scope. Senso is built for organizations with a real document set and someone responsible for keeping it accurate. A solo user with a few FAQ pages will get more value from a simple help center. Pricing is quote based once you move past the trial, and the product assumes you can connect sources such as Confluence, Zendesk, or a document store.
Getting Started
- Request a free audit or trial on the Senso site. The team reviews how AI tools currently describe your brand and where citations are missing.
- Connect your raw sources. Upload PDFs, DOCX files, spreadsheets, or link systems such as Confluence and Zendesk.
- Let Senso compile the material. Documents are parsed, chunked, and indexed into a knowledge base with source provenance attached.
- Run an evaluation. Senso queries models such as ChatGPT, Gemini, and Perplexity, then marks answers as accurate, outdated, incorrect, or missing.
- Publish verified context and repeat the cycle. Approved sources go out for agent consumption, and new answers are observed on a schedule.
Product Information
A quick look at Senso: AI-Powered Knowledge Base for Customer Support's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Customer support teams at banks and credit unions
- Compliance and operations staff
- Marketing and GEO teams
Tasks
- Answering member questions from policy documents
- Auditing what AI models say about your brand
- Refreshing stale SOPs
- Producing agent-ready content
Scenarios
- A credit union rolling out an internal support copilot
- A product launch with fast-changing specs
- Ongoing AI citation monitoring
Key features
Verified Knowledge Base Compilation
Senso ingests PDFs, DOCX files, spreadsheets, Markdown, JSON, and connected systems, then compiles them into a structured knowledge base. Each chunk keeps its source, freshness, and permission state. Support agents and AI models query that compiled layer rather than the raw files, which cuts down on conflicting answers from old drafts.
Answer Evaluation and Gap Detection
The platform tests how AI models answer real customer questions, then labels each response as accurate, outdated, incorrect, or missing. Gaps are grouped by topic, so a team can see that three prompts fail because one rate sheet is stale. This turns vague worries about AI accuracy into a work queue.
Automated Verification Gate
Before content is published, an automated check reviews source support, faithfulness, freshness, and permission. Only failures and close calls go to a human reviewer. That design keeps review time low while still catching the answers most likely to cause a compliance problem.
Narrative Control for AI Citations
Senso tracks mention rate and citation rate across ChatGPT, Perplexity, Google AI Overviews, and Gemini. The gap between the two numbers shows how much of your story is being told by other sources. Teams use that view to decide which pages to publish or rewrite, which is the core of AI citation monitoring.
Context API and CLI
Developers can build on the verified context layer through the Senso API and the @senso-ai/cli package. The API supports ingestion, retrieval, and evaluation, so an internal copilot or a custom workflow can pull grounded answers without rebuilding a retrieval stack. Docs cover API keys, permissions, errors, and rate limits.
Governance and Source Tracking
Every answer links back to a versioned source document, and role-based permissions control who can approve changes. When a policy is updated, the compiled knowledge base propagates the new version to every connected agent. Audit trails matter here, because a wrong answer about a loan rate is a business risk, not a typo.
Pros and cons
Pros
- Answers arrive with citations, so support staff can verify a claim before sending it to a customer.
- The verification gate checks freshness and permission automatically, which fits regulated industries better than a generic chatbot builder.
- Citation tracking covers the major AI answer engines in one dashboard, including ChatGPT, Gemini, and Perplexity.
- The API and CLI let engineering teams query the same compiled knowledge base that support uses.
- Customers report faster document retrieval, including a 12x improvement cited by TruStone Financial Credit Union.
Cons
- Pricing is quote based after the trial, so small teams cannot estimate cost from the website alone.
- The product assumes a substantial document set. A company with a handful of FAQ pages will not get much from the verification workflow.
- Coverage is strongest in financial services, which shows in the templates and benchmark content. Other industries get less guidance.
- Zeta Global announced an agreement to acquire Senso in October 2026, so roadmap and packaging may change during the transition.
Frequently asked questions
Senso compiles company documents into a verified AI knowledge base, then checks whether support agents and AI models answer from that source. Teams use it to keep customer answers accurate and to see which sources AI search engines cite.
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