Agentplace

AI agent for market research consultancy owners

Your AI Google Trends research agent. Your seasonal pattern depends on the region.

Create an AI Google Trends research agent with its own web page. Give your clients a geography-specific trend explanation with relative-interest context.

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

YYour market research consultancyAAlex's session

ALEX'S GOOGLE TRENDS RESEARCH SESSION

Your seasonal pattern depends on the region

Alex's illustrative result. Indoor herb garden. The selected terms stay visible. The geographic scope is explicit.

United StatesSpring peak
CURRENT RESULTIndoor herb garden

The selected terms stay visible.

The result and its supporting details

TOPICIndoor herb garden

Topic

The selected terms stay visible.

REGIONUnited States

Region

The geographic scope is explicit.

PATTERNSpring peak

Pattern

The sample series rises during the chosen period.

MEANINGRelative interest

Meaning

The report does not call the index a search count.

Refine this resultExplain the reasoningPrepare my selected version
Alex, 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

  • ~10-15 minFirst demo
  • ~2-4 hoursWorking agent
  • 1 clickPublish

Overview

An AI Google Trends research agent is a customer-facing service that market research consultancy owners can offer to a client investigating changing search interest. It delivers a geography-specific trend explanation with relative-interest context. The client opens the agent's own page and URL, supplies topic, geography, date range and comparison terms, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Do not present relative search interest as absolute search volume. Compare the right terms over a consistent period and explain seasonal or regional differences. Keep relative indexes separate from absolute search volume. The client can change a market or time window and inspect how the interpretation changes. Compare another region and normalize interpretation to its own series. 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 trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation.

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

Google Trends research as a client service

An AI Google Trends research agent is a customer-facing service that market research consultancy owners can offer to a client investigating changing search interest. It delivers a geography-specific trend explanation with relative-interest context. The client opens the agent's own page and URL, supplies topic, geography, date range and comparison terms, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Sell a trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation.

Clarify the brief

Ask about topic, geography, date range and comparison terms. Do not present relative search interest as absolute search volume. 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

Compare the right terms over a consistent period and explain seasonal or regional differences. Keep relative indexes separate from absolute search volume. The client can change a market or time window and inspect how the interpretation changes. Compare another region and normalize interpretation to its own series. 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 a trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation. Define the included work, any revision allowance and the specific continuation before clients begin. Trend data access needs configuration. Correlation and search interest do not establish purchases, causation or future demand.

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

The same client session holds the brief, accepted decisions and current result. Do not present relative search interest as absolute search volume.

Why it's the best fit

Why an AI agent fits this client task

Deliver a geography-specific trend explanation with relative-interest context while the client works with you online.

Do not present relative search interest as absolute search volume. 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 Trends 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

Do not present relative search interest as absolute search volume. Compare the right terms over a consistent period and explain seasonal or regional differences. Keep relative indexes separate from absolute search volume. The client can change a market or time window and inspect how the interpretation changes.

With traditional toolsA page describing the service

A conventional service page can explain the offer and collect a request. Producing a geography-specific trend explanation with relative-interest context 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

Compare another region and normalize interpretation to its own series. 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 topic, geography, date range and comparison terms. 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 geography-specific trend explanation with relative-interest context, relevant evidence and the current choice. Text or voice directs the work while the agent updates the useful components. The sample series rises during the chosen period.

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 query selection rules, geographic scope and trend interpretation method. Do not present relative search interest as absolute search volume. 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 topic, geography, date range and comparison terms 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 trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation. Trend data access needs configuration. Correlation and search interest do not establish purchases, causation or future demand.

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. Compare another region and normalize interpretation to its own series. 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 Google Trends research 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 query selection rules, geographic scope and trend interpretation method. Specify the inputs needed for a geography-specific trend explanation with relative-interest context, including topic, geography, date range and comparison terms. 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, Alex uses the service with a defined brief. Indoor herb garden. The selected terms stay visible. The geographic scope is explicit. Check the first result against the supplied facts. Then test this revision. Compare another region and normalize interpretation to its own series. Verify that the affected output changes while accepted details remain intact. Trend data access needs configuration. Correlation and search interest do not establish purchases, causation or future demand.

  3. 03

    Connect delivery and publish

    Publish the agent's page and share its URL with clients. Sell a trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation. 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 market research consultancy owners

Market research consultancy owners

Sell a trend research session or recurring market brief. You define the expertise and standards behind the offer while clients can obtain a geography-specific trend explanation with relative-interest context directly through your agent.

Service delivery managers

Use your query selection rules, geographic scope and trend interpretation method to make the delivered work inspectable and consistent. Do not present relative search interest as absolute search volume. 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 geography-specific trend explanation with relative-interest context. Start with one complete task and a defined customer group, then configure the evidence and tools that make that offer real. Trend data access needs configuration. Correlation and search interest do not establish purchases, causation or future demand.

Start with your specialtyMarket research consultancy ownersGoogle Trends researchClient-facing digital services

Your service, your starting point

Your knowledge and the tools this service needs

The original task includes tools such as Bright Data Web Unlocker, Google Gemini, Gmail. 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

Bright Data Web Unlocker

Supply the specialist source or action. Connect the relevant account and choose which records and actions the agent can use.

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 Google Trends research 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.

  • Bright Data Web UnlockerSupply the specialist source or action
  • 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
Google Trends research 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.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

Your AI Google Trends 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 query selection rules, geographic scope and trend interpretation method and return discrepancies with evidence. Your public agent keeps the client brief and current result in view.

Your clients Alex

Your seasonal pattern depends on the region

The selected terms stay visible.
Agentplace
Your AI
Google Trends research 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 topic
  • 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 Google Trends research agent FAQ

What is an AI agent for Google Trends research?

An AI Google Trends research agent is a customer-facing service that market research consultancy owners can offer to a client investigating changing search interest. It delivers a geography-specific trend explanation with relative-interest context. The client opens the agent's own page and URL, supplies topic, geography, date range and comparison terms, 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 Google Trends research agent?

A geography-specific trend explanation with relative-interest context. Compare the right terms over a consistent period and explain seasonal or regional differences. Keep relative indexes separate from absolute search volume. The client can change a market or time window and inspect how the interpretation changes. 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?

Do not present relative search interest as absolute search volume. Compare the right terms over a consistent period and explain seasonal or regional differences. Keep relative indexes separate from absolute search volume. The client can change a market or time window and inspect how the interpretation changes. 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 query selection rules, geographic scope and trend interpretation method, together with examples covering topic, geography, date range and comparison terms. The original task includes tools such as Bright Data Web Unlocker, Google Gemini, Gmail. 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. Trend data access needs configuration. Correlation and search interest do not establish purchases, causation or future demand.

Can a client change the brief after the first result?

Compare another region and normalize interpretation to its own series. 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 a trend research session or recurring market brief. Deliver the dated series explanation and questions for further validation. 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 Google Trends research 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 Google Trends research agent.
Ready for the first client.

Create an AI Google Trends research agent with its own web page. Give your clients a geography-specific trend explanation with relative-interest context.

Create my AI agent