Kestry Chat Agent
Give Kestry your documents, website pages and Q&A. It answers your customers' questions on your website — grounded in your content, not in whatever a language model happens to have absorbed.
Free during public beta · No credit card
KestryThis is the whole loop, and it is worth understanding because it explains why the answers stay specific to your business.
Your agent answers from content you provide: uploaded documents (PDF, Word, Excel, Markdown, plain text), pages crawled from your website, and Q&A you write by hand. All of it is searchable together, and you can organize it into separate knowledge bases.
Before writing anything, Kestry searches your content for the passages that relate to the question and answers from those. That is what keeps replies tied to what your business actually says — and when a question falls outside your content, the agent says so rather than inventing an answer.
Set the agent's name and instructions, the tone it uses, the welcome message visitors see, its appearance, and the details it asks for before a chat starts.
An embeddable widget that runs on your site. Visitors ask in their own words and get an answer in the page they are already reading.
Collect visitor details through pre-chat fields, so a useful conversation becomes a contact your team can follow up.
Read what visitors actually asked and how the agent replied. It is the fastest way to find the gaps in your knowledge base.
See usage and engagement — how many conversations you are having and how much of your allowance you have used.
The beta includes 1 agent and 200 messages a month. Running several agents — one per brand, product line or client — arrives with the paid plans.
Answer campaign questions on the landing page and capture leads from traffic you already paid for. See our free marketing tools.
Handle product and pricing questions immediately, and qualify prospects before a rep is involved.
Automate the repetitive front line so your team spends its time where a person is genuinely needed.
Turn documentation and onboarding material into an assistant that answers in context.
Delivery, sizing, returns — the questions that decide whether a basket becomes an order.
Stand up an agent per client, each built on that client's own knowledge.
Kestry is an AI chat agent for your website. You give it your business knowledge — documents, website pages, Q&A — and it answers customer questions from that content, on your site, at any hour.
An AI chat agent is software that holds a conversation with a website visitor and answers in natural language. Unlike a rule-based chatbot, which follows a decision tree someone built by hand, an AI chat agent interprets the question as asked and responds from the material it has been given.
You add content to a knowledge base: upload documents, crawl pages from your website, or write question-and-answer pairs directly. Kestry splits that content into passages and indexes it. When a visitor asks something, it searches your indexed content for the passages that actually relate to the question and answers from those.
RAG stands for retrieval-augmented generation. Instead of relying on what a language model absorbed during training, the system first retrieves the relevant passages from your own content and then writes an answer grounded in them. In practice this is what keeps replies specific to your business rather than generic — and it means updating an answer is a matter of updating your content.
Yes. Kestry provides an embeddable chat widget you add to your site, and you control the agent's name, welcome message and appearance.
Yes. You can ask visitors for details before a chat begins, and captured leads are collected for your team to review.
Yes — it is one of the most common uses. Marketing teams use Kestry to answer campaign and product questions on landing pages, engage visitors who would otherwise leave, and capture leads from traffic they have already paid for.
Kestry is free during public beta. Paid plans with higher usage limits are shown on the pricing page but cannot be purchased yet.
Add a document, ask it something, and see what comes back.
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