Tobira Site Agent is an AI conversational agent that handles incoming website traffic from both prospective human buyers and visiting AI agents to qualify leads, book calendar slots, and process purchases.
What the product does and how it is positioned
Tobira Site Agent provides an automated website interface designed to interact with human site visitors as well as third-party AI agents representing prospective buyers. By publishing structured metadata files alongside a conventional web widget, the platform allows AI assistants such as ChatGPT, Claude, and Gemini to navigate product information and complete transactions without manual scraping.
The system answers inquiries using verified business materials, including crawled web pages, uploaded PDFs, security questionnaires, and FAQs. It incorporates appointment scheduling, checkout mechanisms, document analysis, voice conversation transcripts, and automated outcome notifications routed to messaging channels and customer relationship management systems.
Source-supported ways to use the product
Vendors deploy the agent to respond directly to external AI assistants researching vendors, returning machine-readable service details and booking meetings.
Businesses configure the conversational interface to present available calendar slots and collect service payments directly on the page.
Sales and technical teams upload compliance documents so the agent can parse complex security questionnaires and route remaining gaps to internal specialists.
The documented workflow, where available
The system automatically scans and maps the target website, generating the structured documentation files required by visiting AI agents.
The administrator uploads supplemental business materials, including product documentation, pricing sheets, PDFs, and frequently asked questions.
The administrator establishes conversational tone, behavioral boundaries, response rules, and restrictions on what the agent is permitted to promise.
The agent goes live on the website to answer real-time inquiries from human visitors and external automated assistants.
Summarized lead records, scheduled appointments, and transaction details are dispatched to messaging channels, email inboxes, or integrated CRMs.
Tobira Site Agent establishes dedicated communication protocols for visiting autonomous systems by exposing structured discovery files, including llms.txt, agent.json, and AGENTS.md. Rather than requiring external language models to scrape and interpret unstructured HTML DOM elements, these endpoints present clean machine-readable definitions of business services, specifications, and actions.
When an external assistant such as ChatGPT, Claude, or Gemini queries the vendor on behalf of an enterprise buyer, Tobira Site Agent formats its answers into structured JSON payloads. This interaction enables autonomous agents to evaluate plan compatibility, identify available meeting times, and confirm calendar bookings through compact, low-overhead data exchanges.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
The agent explicitly indicates that it does not know the answer and offers to schedule a meeting or collect contact information rather than generating unverified information.
The platform publishes machine-readable files including llms.txt, agent.json, and AGENTS.md, which autonomous agents can read to converse with the agent directly.
The platform provides default built-in language models and also permits organizations to connect external providers or custom API keys from OpenAI, OpenRouter, and MCP clients.
The platform enforces data isolation by so that private notes and internal documentation are never shared with human visitors or external automated agents.
The agent can read uploaded files including PDFs and questionnaires, answering questions supported by the documentation and flagging unaddressed items for human team review.
