Agentplace

AI agent for research consultancy owners

Your AI web research service agent. Your supplier research has a clear comparison.

Create an AI web research service agent with its own web page. Give your clients a source-linked answer to a defined research question.

Your method. Their task. A result they can use.

YYour research consultancyJJordan's session

JORDAN'S WEB RESEARCH SERVICE SESSION

Your supplier research has a clear comparison

Jordan's illustrative result. Regional packaging options. The scope stays focused. The sources support the stated properties.

Two suitable materialsLead-time estimates differ
CURRENT RESULTRegional packaging options

The scope stays focused.

The result and its supporting details

QUESTIONRegional packaging options

Question

The scope stays focused.

FINDINGTwo suitable materials

Finding

The sources support the stated properties.

CONFLICTLead-time estimates differ

Conflict

The disagreement remains visible.

DELIVERYResearch brief

Delivery

The conclusion links to the underlying evidence.

Refine this resultExplain the reasoningPrepare my selected version
Jordan, what would you like to change?
01

Your client starts a conversation.Your client describes the task through text or voice.

02

The page becomes their result.The agent makes the whole page the current result.

Illustrative preview
Vlad Yanch

Template by Vlad Yanch

  • ~15-20 minFirst demo
  • ~2-4 hoursWorking agent
  • 1 clickPublish

Overview

An AI web research service agent is a customer-facing service that research consultancy owners can offer to a client seeking an evidence-backed answer. It delivers a source-linked answer to a defined research question. The client opens the agent's own page and URL, supplies question, scope, source standards, geography and deadline, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Distinguish confirmed findings from open questions and conflicting sources. Define the question and scope, inspect relevant sources and synthesize a useful answer with supporting evidence. Preserve disagreements and missing information. A client can ask a narrower follow-up and see which findings still hold rather than receive a confident generic essay. Tighten the geographic scope and revise the recommendation using only relevant sources. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. The agent controls the content and components across its page so the result stays usable while the conversation continues.

Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace.

Start free with your business idea. Our AI builder can help you explore it, answer questions, and create your agent. No technical specification needed. Sign in to continue.

What you get

Web research service as a client service

An AI web research service agent is a customer-facing service that research consultancy owners can offer to a client seeking an evidence-backed answer. It delivers a source-linked answer to a defined research question. The client opens the agent's own page and URL, supplies question, scope, source standards, geography and deadline, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace.

Clarify the brief

Ask about question, scope, source standards, geography and deadline. Distinguish confirmed findings from open questions and conflicting sources. Keep confirmed facts separate from missing information, and use your service rules to ask only the follow-up questions that change the result.

Deliver the useful result

Define the question and scope, inspect relevant sources and synthesize a useful answer with supporting evidence. Preserve disagreements and missing information. A client can ask a narrower follow-up and see which findings still hold rather than receive a confident generic essay. Tighten the geographic scope and revise the recommendation using only relevant sources. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task.

Offer your service

Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace. Define the included work, any revision allowance and the specific continuation before clients begin. Retrieval and extraction require configured source access. Inaccessible content, unsupported conclusions and invented citations must remain absent from the result.

  • Your expert method
  • Text and voice
  • A personal result
  • Connected service tools

The same client session holds the brief, accepted decisions and current result. Distinguish confirmed findings from open questions and conflicting sources.

Why it's the best fit

Why an AI agent fits this client task

Deliver a source-linked answer to a defined research question while the client works with you online.

Distinguish confirmed findings from open questions and conflicting sources. A conversational service lets the client clarify the brief, inspect the current result and change a requirement in the same session. The value is the completed work and usable interface, not a chatbot that only describes what could happen.

Your AI web research service agent

One specialist. The whole client experience.

The extra workWith traditional tools

Websites, fixed-flow apps, and chat widgets.

01The client experience
Complete the client task

Distinguish confirmed findings from open questions and conflicting sources. Define the question and scope, inspect relevant sources and synthesize a useful answer with supporting evidence. Preserve disagreements and missing information. A client can ask a narrower follow-up and see which findings still hold rather than receive a confident generic essay.

With traditional toolsA page describing the service

A conventional service page can explain the offer and collect a request. Producing a source-linked answer to a defined research question still needs a separate service process. The client does not get that work merely by reading examples or clicking a contact button.

Revise the result in context

Tighten the geographic scope and revise the recommendation using only relevant sources. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task.

With traditional toolsA fixed form or preset workflow

A form can collect question, scope, source standards, geography and deadline. Handling a changed requirement after the first result needs revision rules, connected state and an interface for the new version. Those parts must be designed around this specific service.

Keep the working result visible

The whole page can present a source-linked answer to a defined research question, relevant evidence and the current choice. Text or voice directs the work while the agent updates the useful components. The disagreement remains visible.

With traditional toolsA separate chat widget

A chatbot can adapt its written answer. Keeping the actual document, comparison, media or service record synchronized with that conversation needs additional interface and action logic beyond a message transcript.

02Everything that comes with your agent
Use your expert method

Apply your research framework, source quality rules and reporting format. Distinguish confirmed findings from open questions and conflicting sources. Your service rules determine which sources matter, what the agent may deliver and when the available evidence is insufficient.

With traditional toolsA general-purpose answer

A general assistant needs the client to provide the relevant method, source access and delivery rules. Without that setup it cannot reproduce the defined service just by recognizing the topic.

Work through text or voice

Clients can explain question, scope, source standards, geography and deadline in natural language and clarify the parts that affect the result. The agent can adapt its explanation to their language while preserving the same agreed task and visible outcome.

With traditional toolsSeparate conversational and visual flows

A separate phone call, form and application can each help the client. Keeping their facts and decisions synchronized needs a deliberate connection between those experiences.

Deliver the selected service action

Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace. Retrieval and extraction require configured source access. Inaccessible content, unsupported conclusions and invented citations must remain absent from the result.

With traditional toolsA result copied between tools

Documents, email and specialist tools can deliver this work with the right setup. Maintaining the accepted version and action status across them is additional work the operator must coordinate.

Continue the same client session

Keep the selected brief, source references and accepted decisions available within the configured client session. Tighten the geographic scope and revise the recommendation using only relevant sources. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. Returning clients can inspect the current version rather than compare disconnected answers.

With traditional toolsA fresh request without the prior decisions

A new contact form or unconnected chat can require the client to supply the same information again. Continuity depends on a shared record and the correct access rules, not on a personalized greeting.

Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.

How it works

How to create your AI web research service agent

Define the service, test a complete client request and publish its page. The times shown are planning estimates. Materials, tool access and testing determine the real setup effort.

  1. 01

    Add your service method and examples

    Provide your research framework, source quality rules and reporting format. Specify the inputs needed for a source-linked answer to a defined research question, including question, scope, source standards, geography and deadline. Add a successful example and a request that lacks necessary evidence so the agent can distinguish a usable result from an unsupported one.

  2. 02

    Test the result and a real revision

    In this fictional example, Jordan uses the service with a defined brief. Regional packaging options. The scope stays focused. The sources support the stated properties. Check the first result against the supplied facts. Then test this revision. Tighten the geographic scope and revise the recommendation using only relevant sources. Verify that the affected output changes while accepted details remain intact. Retrieval and extraction require configured source access. Inaccessible content, unsupported conclusions and invented citations must remain absent from the result.

  3. 03

    Connect delivery and publish

    Publish the agent's page and share its URL with clients. Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace. Configure only the source, payment and delivery connections needed for that offer. Test success, missing access and a failed external action so the page never claims a result that the connected system did not return.

Made for your kind of business

For research consultancy owners

Research consultancy owners

Sell an interactive research session or a scoped written brief. You define the expertise and standards behind the offer while clients can obtain a source-linked answer to a defined research question directly through your agent.

Service delivery managers

Use your research framework, source quality rules and reporting format to make the delivered work inspectable and consistent. Distinguish confirmed findings from open questions and conflicting sources. Keep the team focused on exceptions and additional work rather than reconstructing the brief from disconnected messages.

Digital service founders

Build an offer around a source-linked answer to a defined research question. Start with one complete task and a defined customer group, then configure the evidence and tools that make that offer real. Retrieval and extraction require configured source access. Inaccessible content, unsupported conclusions and invented citations must remain absent from the result.

Start with your specialtyResearch consultancy ownersWeb research serviceClient-facing digital services

Your service, your starting point

Your knowledge and the tools this service needs

The original task includes tools such as Oxylabs AI Studio, OpenAI. Choose and configure the providers required for your offer. These names describe connection options, not a claim that every integration or older model version is included or currently available. Choose the relevant apps below and connect the accounts your agent should use.

Start with my expertise

Oxylabs AI Studio

Supply the specialist source or action. Requires a compatible API or MCP connection and the relevant account access.

Exa

Find source material for the client's question. Connect the relevant account and choose which records and actions the agent can use.

Google Drive

Read papers and documents the client shares. Connect the relevant account and choose which records and actions the agent can use.

Notion

Apply your research framework. Connect the relevant account and choose which records and actions the agent can use.

Google Sheets

Organize evidence and source comparisons. Connect the relevant account and choose which records and actions the agent can use.

Calendly

Book a research review with your team. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI web research service agent can connect

Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.

  • Oxylabs AI StudioSupply the specialist source or actionCustom API
  • ExaFind source material for the client's question
  • Google DriveRead papers and documents the client shares
  • NotionApply your research framework
  • Google SheetsOrganize evidence and source comparisons
  • CalendlyBook a research review with your team
Agentplace
Your AI
web research service agent

Your expertise.
Their personal result.
One connected service.

Start with your materials. Add the connections your client service needs.

Go further with 1,000+ integrations.

Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.

Available connections depend on the app's API and your account permissions. Tools marked Custom API need a separate compatible API or MCP connection.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

Your AI web research service agent stays with the client. It can pass a defined part of the work to your separately connected ChatGPT or Claude agents and bring their result back into the same service session. Your client does not need to manage those internal tools.

A supporting agent can check the accepted result against your research framework, source quality rules and reporting format and return discrepancies with evidence. Your public agent keeps the client brief and current result in view.

Your clients Jordan

Your supplier research has a clear comparison

The scope stays focused.
Agentplace
Your AI
web research service agent

Your expertise.
Their personal result.
One connected service.

Your back-office agents
ChatGPT
Claude
  • Check the result against your service method
  • Inspect source support for question
  • Prepare the selected delivery record
The client talks with your public AI agent. Connected supporting agents receive a defined task and return their work to that experience.

A few things to know

AI web research service agent FAQ

What is an AI agent for web research service?

An AI web research service agent is a customer-facing service that research consultancy owners can offer to a client seeking an evidence-backed answer. It delivers a source-linked answer to a defined research question. The client opens the agent's own page and URL, supplies question, scope, source standards, geography and deadline, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

What does the client receive from this web research service agent?

A source-linked answer to a defined research question. Define the question and scope, inspect relevant sources and synthesize a useful answer with supporting evidence. Preserve disagreements and missing information. A client can ask a narrower follow-up and see which findings still hold rather than receive a confident generic essay. The current result is presented through the agent's own interface, so the client can inspect it and ask for changes instead of treating a message thread as the final deliverable.

How does this differ from a website with a chatbot?

Distinguish confirmed findings from open questions and conflicting sources. Define the question and scope, inspect relevant sources and synthesize a useful answer with supporting evidence. Preserve disagreements and missing information. A client can ask a narrower follow-up and see which findings still hold rather than receive a confident generic essay. The agent performs the configured service and updates the result on its whole page. A separate chat widget can answer questions, but connecting those answers to the active service record, visual result and tools takes additional implementation.

What knowledge and connections should I provide?

Provide your research framework, source quality rules and reporting format, together with examples covering question, scope, source standards, geography and deadline. The original task includes tools such as Oxylabs AI Studio, OpenAI. Choose and configure the providers required for your offer. These names describe connection options, not a claim that every integration or older model version is included or currently available. Retrieval and extraction require configured source access. Inaccessible content, unsupported conclusions and invented citations must remain absent from the result.

Can a client change the brief after the first result?

Tighten the geographic scope and revise the recommendation using only relevant sources. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. The agent explains the implications and keeps the accepted version distinct from a proposed revision.

Can I charge for this service?

Sell an interactive research session or a scoped written brief. Deliver the accepted report and evidence map to the client's chosen workspace. Explain the service scope and configure the relevant payment or delivery provider before offering it to clients. Payment for the agent's work is distinct from third-party usage costs or a separate purchase.

Is this preview a live service?

No. It is a static fictional example. Client names, records, source observations and results shown in the preview are illustrative. Create your own agent, provide your knowledge and configure the required tools to offer this service.

What platform does the AI web research service agent run on?

It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.

Turn your expertise into a service clients can use

Your AI web research service agent.
Ready for the first client.

Create an AI web research service agent with its own web page. Give your clients a source-linked answer to a defined research question.

Create my AI agent