Agentplace

AI agent for social marketing agency owners

Your AI cross-platform content agent. One announcement, four useful versions.

Create an AI cross-platform content agent with its own web page. Give your clients a set of channel-specific posts grounded in the same client brief.

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

YYour social marketing agencyMMorgan's session

MORGAN'S CROSS-PLATFORM CONTENT SESSION

One announcement, four useful versions

Morgan's illustrative result. Practical business angle. The opening explains the operational benefit. The short post keeps the core point and source link.

One clear observationVisual-led caption
CURRENT RESULTPractical business angle

The opening explains the operational benefit.

The result and its supporting details

LINKEDINPractical business angle

LinkedIn

The opening explains the operational benefit.

XOne clear observation

X

The short post keeps the core point and source link.

INSTAGRAMVisual-led caption

Instagram

The text supports the selected campaign image.

DELIVERYCombined review package

Delivery

All versions are available in the same client session.

Refine this resultExplain the reasoningPrepare my selected version
Morgan, 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 cross-platform content agent is a customer-facing service that social marketing agency owners can offer to a business client preparing a campaign. It delivers a set of channel-specific posts grounded in the same client brief. The client opens the agent's own page and URL, supplies campaign topic, current sources, target channels and voice examples, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Preserve one factual message while changing format and audience framing. Establish the shared offer and facts first, then adapt the presentation for each selected channel. Keep visuals, dates and calls to action aligned across the package. The client can revise one channel or a shared fact and see exactly which outputs change. Remove an outdated claim and update every affected channel version. 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 complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client.

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

Cross-platform content as a client service

An AI cross-platform content agent is a customer-facing service that social marketing agency owners can offer to a business client preparing a campaign. It delivers a set of channel-specific posts grounded in the same client brief. The client opens the agent's own page and URL, supplies campaign topic, current sources, target channels and voice examples, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Sell a complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client.

Clarify the brief

Ask about campaign topic, current sources, target channels and voice examples. Preserve one factual message while changing format and audience framing. 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

Establish the shared offer and facts first, then adapt the presentation for each selected channel. Keep visuals, dates and calls to action aligned across the package. The client can revise one channel or a shared fact and see exactly which outputs change. Remove an outdated claim and update every affected channel version. 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 complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client. Define the included work, any revision allowance and the specific continuation before clients begin. Media generation and publishing require connected providers and account permission. Do not assume every network permits the same action or promise engagement gains.

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

The same client session holds the brief, accepted decisions and current result. Preserve one factual message while changing format and audience framing.

Why it's the best fit

Why an AI agent fits this client task

Deliver a set of channel-specific posts grounded in the same client brief while the client works with you online.

Preserve one factual message while changing format and audience framing. 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 cross-platform content 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

Preserve one factual message while changing format and audience framing. Establish the shared offer and facts first, then adapt the presentation for each selected channel. Keep visuals, dates and calls to action aligned across the package. The client can revise one channel or a shared fact and see exactly which outputs change.

With traditional toolsA page describing the service

A conventional service page can explain the offer and collect a request. Producing a set of channel-specific posts grounded in the same client brief 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

Remove an outdated claim and update every affected channel version. 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 campaign topic, current sources, target channels and voice examples. 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 set of channel-specific posts grounded in the same client brief, relevant evidence and the current choice. Text or voice directs the work while the agent updates the useful components. The text supports the selected campaign image.

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 campaign method, brand voice, channel formats, claim policy and approval rules. Preserve one factual message while changing format and audience framing. 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 campaign topic, current sources, target channels and voice examples 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 complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client. Media generation and publishing require connected providers and account permission. Do not assume every network permits the same action or promise engagement gains.

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. Remove an outdated claim and update every affected channel version. 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 cross-platform content 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 campaign method, brand voice, channel formats, claim policy and approval rules. Specify the inputs needed for a set of channel-specific posts grounded in the same client brief, including campaign topic, current sources, target channels and voice examples. 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, Morgan uses the service with a defined brief. Practical business angle. The opening explains the operational benefit. The short post keeps the core point and source link. Check the first result against the supplied facts. Then test this revision. Remove an outdated claim and update every affected channel version. Verify that the affected output changes while accepted details remain intact. Media generation and publishing require connected providers and account permission. Do not assume every network permits the same action or promise engagement gains.

  3. 03

    Connect delivery and publish

    Publish the agent's page and share its URL with clients. Sell a complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client. 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 social marketing agency owners

Social marketing agency owners

Sell a complete campaign content session or include the agent in an ongoing agency package. You define the expertise and standards behind the offer while clients can obtain a set of channel-specific posts grounded in the same client brief directly through your agent.

Service delivery managers

Use your campaign method, brand voice, channel formats, claim policy and approval rules to make the delivered work inspectable and consistent. Preserve one factual message while changing format and audience framing. 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 set of channel-specific posts grounded in the same client brief. Start with one complete task and a defined customer group, then configure the evidence and tools that make that offer real. Media generation and publishing require connected providers and account permission. Do not assume every network permits the same action or promise engagement gains.

Start with your specialtySocial marketing agency ownersCross-platform contentClient-facing digital services

Your service, your starting point

Your knowledge and the tools this service needs

The original task includes tools such as Tavily, OpenAI, Slack. 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

Tavily

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

Google Search Console

Read the client's search queries and pages. Connect the relevant account and choose which records and actions the agent can use.

Google Analytics

Connect traffic to the client's site outcomes. Connect the relevant account and choose which records and actions the agent can use.

Ahrefs

Research relevant keywords and competitors. Connect the relevant account and choose which records and actions the agent can use.

SerpApi

Check search results for the chosen market. Connect the relevant account and choose which records and actions the agent can use.

Google Sheets

Deliver the prioritized optimization plan. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI cross-platform content 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.

  • TavilySupply the specialist source or action
  • Google Search ConsoleRead the client's search queries and pages
  • Google AnalyticsConnect traffic to the client's site outcomes
  • AhrefsResearch relevant keywords and competitors
  • SerpApiCheck search results for the chosen market
  • Google SheetsDeliver the prioritized optimization plan
Agentplace
Your AI
cross-platform content 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 cross-platform content 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 campaign method, brand voice, channel formats, claim policy and approval rules and return discrepancies with evidence. Your public agent keeps the client brief and current result in view.

Your clients Morgan

One announcement, four useful versions

The opening explains the operational benefit.
Agentplace
Your AI
cross-platform content 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 linkedin
  • 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 cross-platform content agent FAQ

What is an AI agent for cross-platform content?

An AI cross-platform content agent is a customer-facing service that social marketing agency owners can offer to a business client preparing a campaign. It delivers a set of channel-specific posts grounded in the same client brief. The client opens the agent's own page and URL, supplies campaign topic, current sources, target channels and voice examples, 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 cross-platform content agent?

A set of channel-specific posts grounded in the same client brief. Establish the shared offer and facts first, then adapt the presentation for each selected channel. Keep visuals, dates and calls to action aligned across the package. The client can revise one channel or a shared fact and see exactly which outputs change. 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?

Preserve one factual message while changing format and audience framing. Establish the shared offer and facts first, then adapt the presentation for each selected channel. Keep visuals, dates and calls to action aligned across the package. The client can revise one channel or a shared fact and see exactly which outputs change. 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 campaign method, brand voice, channel formats, claim policy and approval rules, together with examples covering campaign topic, current sources, target channels and voice examples. The original task includes tools such as Tavily, OpenAI, Slack. 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. Media generation and publishing require connected providers and account permission. Do not assume every network permits the same action or promise engagement gains.

Can a client change the brief after the first result?

Remove an outdated claim and update every affected channel version. 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 complete campaign content session or include the agent in an ongoing agency package. Deliver the selected assets and publish only to the accounts and schedule authorized by the client. 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 cross-platform content 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 cross-platform content agent.
Ready for the first client.

Create an AI cross-platform content agent with its own web page. Give your clients a set of channel-specific posts grounded in the same client brief.

Create my AI agent