AI agent for local market research agency owners
Create an AI Google Maps prospect research agent with its own web page. Give your clients a clean local prospect list with business summaries and source links.
Your method. Their task. A result they can use.
Your client starts a conversation.Your client describes the task through text or voice.
The page becomes their result.The agent makes the whole page the current result.
An AI Google Maps prospect research agent is a customer-facing service that local market research agency owners can offer to a client identifying relevant businesses in a defined area. It delivers a clean local prospect list with business summaries and source links. The client opens the agent's own page and URL, supplies search area, business category, required fields and exclusions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.
Normalize records before adding speculative contact data. Search the selected area, normalize branch and company records and add only facts supported by permitted sources. Keep an observable business characteristic separate from a sales opportunity hypothesis. Let the client revise the scope before exporting the list. Add a neighboring district and keep the existing deduplication rules. 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 a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields.
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What you get
An AI Google Maps prospect research agent is a customer-facing service that local market research agency owners can offer to a client identifying relevant businesses in a defined area. It delivers a clean local prospect list with business summaries and source links. The client opens the agent's own page and URL, supplies search area, business category, required fields and exclusions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.
Sell a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields.
Ask about search area, business category, required fields and exclusions. Normalize records before adding speculative contact data. Keep confirmed facts separate from missing information, and use your service rules to ask only the follow-up questions that change the result.
Search the selected area, normalize branch and company records and add only facts supported by permitted sources. Keep an observable business characteristic separate from a sales opportunity hypothesis. Let the client revise the scope before exporting the list. Add a neighboring district and keep the existing deduplication rules. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task.
Sell a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields. Define the included work, any revision allowance and the specific continuation before clients begin. Maps and enrichment providers need configured access. A listing, poor review or incomplete website does not prove that a business wants to buy.
The same client session holds the brief, accepted decisions and current result. Normalize records before adding speculative contact data.
Why it's the best fit
Deliver a clean local prospect list with business summaries and source links while the client works with you online.
Normalize records before adding speculative contact data. 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 Google Maps prospect research 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 Normalize records before adding speculative contact data. Search the selected area, normalize branch and company records and add only facts supported by permitted sources. Keep an observable business characteristic separate from a sales opportunity hypothesis. Let the client revise the scope before exporting the list. | With traditional toolsA page describing the service A conventional service page can explain the offer and collect a request. Producing a clean local prospect list with business summaries and source links 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 Add a neighboring district and keep the existing deduplication rules. 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 search area, business category, required fields and exclusions. 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 clean local prospect list with business summaries and source links, relevant evidence and the current choice. Text or voice directs the work while the agent updates the useful components. The description follows the company website. | 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 geographic scope, business matching method, deduplication rules and evidence standards. Normalize records before adding speculative contact data. 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 search area, business category, required fields and exclusions 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 a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields. Maps and enrichment providers need configured access. A listing, poor review or incomplete website does not prove that a business wants to buy. | 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. Add a neighboring district and keep the existing deduplication rules. 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
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.
Provide your geographic scope, business matching method, deduplication rules and evidence standards. Specify the inputs needed for a clean local prospect list with business summaries and source links, including search area, business category, required fields and exclusions. Add a successful example and a request that lacks necessary evidence so the agent can distinguish a usable result from an unsupported one.
In this fictional example, Jamie uses the service with a defined brief. East Portland. The scope is visible in the result. Duplicate map entries are grouped. Check the first result against the supplied facts. Then test this revision. Add a neighboring district and keep the existing deduplication rules. Verify that the affected output changes while accepted details remain intact. Maps and enrichment providers need configured access. A listing, poor review or incomplete website does not prove that a business wants to buy.
Publish the agent's page and share its URL with clients. Sell a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields. 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
Sell a local company research service. You define the expertise and standards behind the offer while clients can obtain a clean local prospect list with business summaries and source links directly through your agent.
Use your geographic scope, business matching method, deduplication rules and evidence standards to make the delivered work inspectable and consistent. Normalize records before adding speculative contact data. Keep the team focused on exceptions and additional work rather than reconstructing the brief from disconnected messages.
Build an offer around a clean local prospect list with business summaries and source links. Start with one complete task and a defined customer group, then configure the evidence and tools that make that offer real. Maps and enrichment providers need configured access. A listing, poor review or incomplete website does not prove that a business wants to buy.
Your service, your starting point
The original task includes tools such as Telegram, Apify, OpenAI, Jina AI, Google Sheets. 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 expertiseSupply the specialist source or action. Connect the relevant account and choose which records and actions the agent can use.
Find source material for the client's question. Connect the relevant account and choose which records and actions the agent can use.
Read papers and documents the client shares. Connect the relevant account and choose which records and actions the agent can use.
Apply your research framework. Connect the relevant account and choose which records and actions the agent can use.
Organize evidence and source comparisons. Connect the relevant account and choose which records and actions the agent can use.
Book a research review with your team. Connect the relevant account and choose which records and actions the agent can use.
Integrations
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.
Your expertise.
Their personal result.
One connected service.
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.
Browse the integration catalogConnected agents
Your AI Google Maps prospect research 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 geographic scope, business matching method, deduplication rules and evidence standards and return discrepancies with evidence. Your public agent keeps the client brief and current result in view.
Your search returns companies, not duplicate pins
The scope is visible in the result. Your expertise.
Their personal result.
One connected service.
A few things to know
An AI Google Maps prospect research agent is a customer-facing service that local market research agency owners can offer to a client identifying relevant businesses in a defined area. It delivers a clean local prospect list with business summaries and source links. The client opens the agent's own page and URL, supplies search area, business category, required fields and exclusions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.
A clean local prospect list with business summaries and source links. Search the selected area, normalize branch and company records and add only facts supported by permitted sources. Keep an observable business characteristic separate from a sales opportunity hypothesis. Let the client revise the scope before exporting the list. 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.
Normalize records before adding speculative contact data. Search the selected area, normalize branch and company records and add only facts supported by permitted sources. Keep an observable business characteristic separate from a sales opportunity hypothesis. Let the client revise the scope before exporting the list. 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.
Provide your geographic scope, business matching method, deduplication rules and evidence standards, together with examples covering search area, business category, required fields and exclusions. The original task includes tools such as Telegram, Apify, OpenAI, Jina AI, Google Sheets. 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. Maps and enrichment providers need configured access. A listing, poor review or incomplete website does not prove that a business wants to buy.
Add a neighboring district and keep the existing deduplication rules. 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.
Sell a local company research service. Deliver the deduplicated shortlist with sources and clear missing fields. 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.
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.
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
Create an AI Google Maps prospect research agent with its own web page. Give your clients a clean local prospect list with business summaries and source links.
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