Research team using an AI agent to monitor industry news
The AI employee searches the web in real time and surfaces relevant updates. No manual scanning required.
Live Web Search
Your employee searches the live web, reads the results, and extracts exactly what matters for the task at hand.
Your employee has access to the live internet. Ask it to research competitors, find industry benchmarks, look up regulatory changes, or verify a claim, and it searches the web in real time. It does not rely on stale training data. It finds current information from current sources.
The difference from a regular search engine is what happens after the results come back. Your employee reads every page, filters out noise, extracts the relevant data points, and synthesizes a summary tailored to your question. Ask "what are competitors charging for similar products?" and you get a structured comparison table with sources, not 10 blue links.
Web search integrates with every other capability. Your employee can search for information, then use it to write a report, update a spreadsheet, draft an email, or create a presentation. The research feeds directly into the work, with no copy-paste step in between.
Live Web Search Built Into Every Task
Sistava gives your AI employee the ability to search the web in real time as part of any task. When the agent needs current information, market data, recent news, or any fact it does not already know, it runs a live search and reads the results before responding.
This is a fundamental upgrade over AI models trained on a fixed knowledge cutoff. Your AI agent works with fresh information, not a snapshot from months ago. If something happened recently, it can find out.
Synthesized Answers with Sources, Not a List of Links
After searching, the agent reads the relevant results and synthesizes a coherent answer grounded in what it found. You get an intelligent summary with cited sources, not a raw list of URLs to click through yourself.
This is what makes web search genuinely useful in a workflow context. When an AI employee researches a competitor, vets a vendor, or looks up regulatory requirements, it delivers a usable briefing, not a search results page.
Research That Feeds Directly Into Execution
Because web search is a tool the agent uses autonomously, research outputs can feed directly into the next step of a task. An agent drafting a market analysis can search for current data, pull the key numbers, and incorporate them into the document, all in one workflow.
There is no copy-pasting between a search tab and a document. The agent handles the full chain: search, read, extract, synthesize, use. This collapses multi-step research tasks into a single delegated instruction.
Use Cases
Sales team equipping an AI agent with live competitive intelligence
The agent searches for current competitor information before every major touchpoint. Always up to date.
Support team helping an AI employee answer questions about recent updates
When the knowledge base doesn't have the answer, the agent searches the web and uses the latest information.
Content team using an AI agent to fact-check before publishing
The AI employee verifies claims against current web sources in real time. No outdated information goes out.
Comparison
| Before | After |
|---|---|
| AI agents are limited to their training data, which is always out of date. | Web search gives the AI employee access to current information in real time. |
| Researching a topic means doing it yourself and pasting it in. | The agent searches autonomously and incorporates what it finds. |
| Answers are wrong when the world has changed since training. | Live web search keeps the AI employee grounded in current reality. |
| Monitoring the web manually takes hours every week. | The AI agent searches on demand and surfaces what matters. |
FAQ
Does the AI agent search the web automatically, or does it need to be told to?
The agent decides when to run a web search based on the task. If it needs current information it does not already have, it will search. You can also explicitly ask it to research something, and it will search accordingly.
Does the agent cite its sources when it uses web search?
Yes. When the agent uses web search to answer a question or complete a task, it includes the sources it consulted in its response. You can verify the information directly from the original URLs.
Can the AI employee search for real-time data like stock prices or news?
Yes. Web search returns live results, so your agent can access current news, prices, market data, and any publicly available information. The freshness of results depends on what is indexed and available on the web at search time.
Is web search included in all plans?
Web search is available as a utility tool that can be enabled for any AI employee. Check your plan details for usage limits. Each search query counts against your usage allocation.
Can my AI agent look up current information from the web during a conversation?
Yes. The live web search tool lets your AI employee fetch real-time results from the internet mid-task, so it is not limited to its training data. Search results feed directly into its responses.
My research agent now pulls competitor updates automatically before every weekly briefing. I stopped manually checking five sites every Monday.