Claude setup for marketing teams
In-house marketing, demand generation and marketing operations teams at mid-market and enterprise B2B companies that want Claude doing real work, not one-off prompts.
Marketing agent orchestration: AI marketing agents that work together as one revenue team
In short
Marketing agent orchestration is a governed system of Claude agents that handles the repetitive work behind enterprise demand generation. One orchestrator plans each request and hands steps to 28 specialist agents across paid media, ABM, SEO and GEO, website and CRO, RevOps, content and leadership reporting.
They share one set of rules and connections, and people approve anything that spends, sends or publishes.
Built for: CMOs and demand generation, marketing operations and RevOps leaders at enterprise B2B companies who want AI agents across the whole revenue engine, not another point tool.
Last updated
- Official Demandbase partner
- 6sense implemented for 5+ large enterprises
- Enterprise clients include ABB, KNIME and Nakisa
- A senior strategist replies within one business day
Signs you need this
What usually goes wrong
Point tools, no system
Each team adopted its own AI tool, so nothing shares context, rules or data and nobody can see the whole picture.
Senior people doing junior work
Directors spend their week checking pacing, cleaning the CRM, chasing reports and rewriting drafts instead of making decisions.
Pipeline questions take days
Answering what drove pipeline last month means pulling exports from five systems and arguing about definitions.
Target accounts wait
Intent signals and account research arrive too late, or not at all, because nobody has time to act on them.
Architecture
How the agents work together
One orchestrator plans the work and hands each step to a specialist agent. Every agent uses the same rules, the same metric definitions and the same governed connections, and anything that spends, sends or publishes waits for a person to approve it.
Where your team works
Requests come from the places your team already uses, and results come back there.
- Claude chat and projects
- Slack or Teams
- Scheduled briefs
- Approval queue
Orchestrator
Reads the request, breaks it into steps, assigns each step to the right service agent, checks the output against the rules and assembles one answer.
- Planning and routing
- Hand-offs between agents
- Run log and decision log
- Weekly and monthly packs
Service agents
Specialists for paid media, ABM, SEO and GEO, website and CRO, RevOps, content and leadership reporting. Each one owns a defined job with inputs, outputs and a human gate.
- Paid media4
- ABM and intent4
- SEO and GEO4
- Website and CRO4
- RevOps, CRM and attribution4
- Content and executive voice4
- Leadership reporting and intelligence4
Shared skills
The written standards every agent follows, so output is consistent no matter who asked.
- ICP and persona rules
- Brand voice and approved claims
- Metric dictionary
- Naming and UTM conventions
- Privacy and platform policies
Connectors
Governed connections to your systems, read-only by default, with write access only where an approved step needs it.
- CRM and marketing automation
- Ad platforms
- Analytics and tag manager
- ABM and intent platforms
- Data warehouse and BI
- CMS, docs, email and chat
Governance
The controls IT, legal and leadership need before agents touch real systems.
- Least-privilege service accounts
- Human approval for spend, sends and publishing
- Audit trail of every run
- Usage and cost caps
- Quality tests per agent
Org chart
Who reports to whom
People sit at the top and approve. The orchestrator plans and routes. Each service line has a lead agent and specialists, and every agent works from the same shared skills under the same governance.
CMO and marketing leadersSet goals, approve spend, sends and publishing, own the results
Shared skills
- ICP and personas
- Approved claims
- Brand voice
- Metric dictionary
OrchestratorPlans each request, routes steps, checks output, assembles the answer
Governance
- Approval queue
- Least privilege
- Audit trail
- Cost caps
- Paid media
- Budget pacing agent
- Search terms and negatives agent
- Campaign build agent
- Ad policy and claims QA agent
- ABM and intent
- Account research agent
- Intent and signal triage agent
- Buying group mapper
- Outreach draft agent
- SEO and GEO
- AI shortlist monitor
- Content gate and article agent
- Technical SEO and indexing agent
- Entity and AI crawler agent
- Website and CRO
- Site change agent
- Landing page agent
- Experiment agent
- Accessibility and QA agent
- RevOps, CRM and attribution
- CRM hygiene agent
- Lead response agent
- Tracking and conversion QA agent
- Pipeline attribution agent
- Content and executive voice
- Executive voice agent
- Repurposing agent
- Brand and claims review agent
- Sales enablement agent
- Leadership reporting and intelligence
- Weekly pipeline brief agent
- Board and QBR pack agent
- Budget and forecast agent
- Competitive intelligence agent
Agent roster
The agents, by service
Most teams start with three to five agents aimed at their biggest bottleneck, then add the rest in phases. Each agent below reports to the orchestrator.
Paid media
Service- Budget pacing agent
Checks spend against plan every day by campaign and platform, flags over and under pacing and proposes reallocations.
Human gate: Budget changes applied only after approval - Search terms and negatives agent
Reviews search terms weekly, proposes negative keywords and checks them against active keywords so nothing wanted is blocked.
Human gate: Negatives reviewed before upload - Campaign build agent
Turns an approved brief into import-ready campaigns: keywords, responsive ads, assets, audiences and exclusions.
Human gate: Builds stay paused until approved - Ad policy and claims QA agent
Checks every ad for platform policy, character limits, brand rules and unapproved claims, and watches for disapprovals.
Human gate: Flags only, never edits live ads
ABM and intent
Service- Account research agent
Writes a brief per target account: priorities, recent triggers, buying group and the angle most likely to land.
Human gate: Briefs reviewed by the account owner - Intent and signal triage agent
Combines intent surges, website visits and engagement into a tiered account list and daily alerts for sales.
Human gate: Tier changes confirmed weekly - Buying group mapper
Maps the roles involved in each deal, finds missing contacts in the CRM and suggests who to engage next.
Human gate: CRM updates approved in batches - Outreach draft agent
Drafts first touches and follow-ups from account research for reps and executives.
Human gate: Drafts only, a person sends
SEO and GEO
Service- AI shortlist monitor
Asks AI assistants your buyers’ questions on a schedule and records who gets named, where you rank and which sources are cited.
Human gate: Read-only - Content gate and article agent
Tests each topic against your ICP, demand and existing pages, then drafts expert articles from verified sources.
Human gate: Publishing approved by an editor - Technical SEO and indexing agent
Checks crawl health, broken links, schema and indexing, and submits new and changed pages.
Human gate: Fixes delivered as change requests - Entity and AI crawler agent
Checks that your company facts match across your site and listings, and tracks which AI crawlers read which pages.
Human gate: Read-only
Website and CRO
Service- Site change agent
Makes copy, page and tracking changes as reviewed change requests with build and link checks, in every language you run.
Human gate: Merged only after approval - Landing page agent
Builds campaign and account landing pages in your design system from an approved brief.
Human gate: Review before launch - Experiment agent
Keeps the test backlog, sizes each test, sets pass and stop lines and writes the readout.
Human gate: Tests launched by your team - Accessibility and QA agent
Checks pages for accessibility, mobile layout, speed and broken forms before and after release.
Human gate: Flags only
RevOps, CRM and attribution
Service- CRM hygiene agent
Finds duplicates, missing fields and wrong lifecycle stages, and proposes fixes in reviewable batches.
Human gate: Changes approved before write - Lead response agent
Drafts a reply to every new inbound lead within the business day, in your executives’ format and with the right proof.
Human gate: Drafts only, a person sends - Tracking and conversion QA agent
Checks tags, form fields, conversion actions and offline conversion imports, and alerts when data stops flowing.
Human gate: Read-only alerts - Pipeline attribution agent
Reconciles channel data with CRM opportunities so every report uses one version of sourced and influenced pipeline.
Human gate: Definitions owned by RevOps
Content and executive voice
Service- Executive voice agent
Turns articles, research and meetings into LinkedIn posts and talking points in each executive’s own voice.
Human gate: Executive approves every post - Repurposing agent
Builds video scripts, chapters, short clips, emails and sales one-pagers from each core asset.
Human gate: Editor review - Brand and claims review agent
Checks every asset against brand voice, approved proof and legal rules before anyone sees it.
Human gate: Flags only - Sales enablement agent
Keeps battlecards, objection answers and case summaries current from wins, losses and product updates.
Human gate: Product marketing approves
Leadership reporting and intelligence
Service- Weekly pipeline brief agent
Sends the CMO a Monday brief: pipeline created, spend, what changed, what needs a decision.
Human gate: Read-only - Board and QBR pack agent
Assembles the monthly and quarterly management pack with commentary tied to revenue targets.
Human gate: Leadership review before circulation - Budget and forecast agent
Tracks plan against actuals and models scenarios for reallocating budget across channels.
Human gate: Decisions stay with leadership - Competitive intelligence agent
Watches competitor messaging, pricing pages, launches and hiring, and reports what changed and why it matters.
Human gate: Read-only
Workflows
How work moves through the system
Four everyday workflows. Agents do the preparation and checking, the system logs every step, and a person makes the call wherever money, messages or published content are involved.
Click through a workflow
Every Monday, 6 AM
Tracking QA checks the data flowed
An agent prepares this step from the shared rules and your data. It cannot spend, send or publish.
- Agent
- Person decides
- System
Monday pipeline brief
Every Monday, 6 AM- Agent: Tracking QA checks the data flowed
- Agent: Pipeline attribution reconciles CRM
- Agent: Budget pacing adds spend vs plan
- Agent: Orchestrator writes the brief, decisions first
- Person decides: CMO reads and decides
Leadership starts the week with one version of pipeline
New inbound lead
A form is submitted- System: Lead lands in the CRM
- Agent: CRM hygiene dedupes and fills fields
- Agent: Account research writes a brief
- Agent: Lead response drafts the reply
- Person decides: Rep edits and sends
Same-day reply with the right proof, sent by a person
Weekly paid media review
Every Tuesday- Agent: Search terms agent proposes negatives
- Agent: Ad QA flags policy and claims issues
- Agent: Budget pacing proposes reallocation
- Person decides: Paid media lead approves in the queue
- System: Approved changes applied and logged
Waste cut every week without anyone losing control of spend
Intent surge to sales
An account surges- Agent: Intent triage tiers the account
- Agent: Account research briefs it
- Agent: Buying group mapper finds missing roles
- Agent: Outreach agent drafts first touches
- Person decides: Account executive approves and sends
Target accounts get a researched next step the same morning
Human review
The human review process
Agents never act on their own where it matters. Every output that spends, sends, publishes or changes a record goes through the same six steps.
- 1Draft or propose
The agent prepares the work or proposes a change. It cannot execute anything that spends, sends, publishes or writes.
- 2Automatic checks
Brand voice, approved claims, platform policy, metric definitions and budget caps are checked before a person sees it.
- 3Approval queue
The item goes to its named owner with the context, the sources and a clear before and after.
- 4Decide
Approve, edit or reject with a reason. Nothing moves until someone with authority says yes.
- 5Execute with least privilege
Only the approved item runs, through a service account that can do that one thing.
- 6Log and learn
Every run and decision is in the audit trail. Rejections and edits update the shared skills so the next draft is better.
Approval matrix
| Action | Who approves | Default |
|---|---|---|
| Budget or bid change | Paid media lead | Proposed, never applied automatically |
| Email or outreach to a person | The sender (rep or executive) | Draft only |
| Publishing a page, post or article | Editor or the executive named on it | Draft only |
| Writing to the CRM | RevOps owner, in batches | Proposed in batches |
| Reports, monitoring and alerts | No approval, reviewed weekly | Read-only |
The dream plan
What an orchestrated revenue team looks like
The goal is not more tools. It is a team where people make the calls and agents do the preparation, checking and follow-through around them. This is the path we plan with you, stage by stage.
- Week 1One source of truth
Your ICP, approved proof, brand rules and metric definitions are written down once and every agent works from them. Answers stop depending on who asked.
- Month 1The busywork disappears
Pacing checks, search-term reviews, CRM clean-up, lead replies and weekly reporting are prepared by agents and waiting for a yes. Your specialists spend their time on strategy and creative.
- Month 3Every account gets attention
Intent signals, account research and buying group gaps reach sales every morning with a drafted next step. Target accounts no longer wait for someone to have time.
- Month 6Leadership sees pipeline, not activity
The CMO gets a Monday brief and a board-ready monthly pack tied to sourced and influenced pipeline, with the decisions that need attention listed first.
- Month 12The team compounds
Every test readout, win and loss feeds the shared skills, so the next campaign, page and outreach starts smarter than the last. New hires are productive in days because the playbook runs itself.
Beyond marketing
The same architecture works across the business
Once the orchestrator, shared skills and governed connectors exist, other teams plug in their own agents without starting over.
Sales
- Call and meeting prep briefs
- Proposal and RFP first drafts
- Deal risk reviews from CRM notes
Customer success
- Renewal and expansion signals
- QBR decks from usage and tickets
- Churn-risk alerts with a next step
Product and partners
- Win and loss themes for the roadmap
- Release notes and enablement kits
- Partner co-marketing packs
Finance and operations
- Marketing spend reconciliation
- Vendor and contract summaries
- Process documentation that stays current
Free plan
The 2027 AI agent orchestration plan for marketing and revenue teams
The full plan: why 2027 is the year agent programs scale or get cancelled, the 12-month build, which five agents to start with, a business case worksheet and the governance checklist IT will ask for.
Proof
We run our own marketing on these agents
Before we install an agent for a client, it runs in PlanConversion’s own marketing. These workflows run on Claude for us today.
- Daily budget pacing across ad platforms
- Weekly search-terms review and negative keywords
- Google Ads builds delivered as import files
- Monthly paid media reporting
- Expert articles that pass an ICP and demand gate
- Website changes as reviewed pull requests
- Indexing and technical health checks
- AI crawler monitoring and entity consistency checks
- Account research and draft first touches for outbound
- Draft replies to inbound leads
Ways to start
From a team setup to full orchestration
Every engagement starts with a planning session to pick the agents that matter most. The setup is a fixed fee, scoped before any work starts.
Team setup
Fixed fee, 4 to 6 weeks- Planning workshop with marketing, RevOps and IT
- 3 to 5 priority agents from the roster
- Connectors to your CRM, ad platforms, analytics and docs
- Shared skills: ICP, brand and claims, metric dictionary
- Governance, training and 30 days of tuning
Full orchestration
Phased over about 90 days- Orchestrator plus agents across every service line
- Weekly CMO brief and monthly leadership pack
- Approval queue and audit trail
- Quality tests for every agent
- Hand-over playbook for your team
Run and improve
Monthly, optional- Monitoring and fixes
- New agents as priorities change
- Model, connector and policy updates
- Quarterly review of hours returned and adoption
Deliverables
What you get
- Agent architecture and data access plan
- Orchestrator and approval queue
- Up to 28 agents across 7 service lines
- Shared skills and metric dictionary
- Weekly CMO brief and monthly leadership pack
- Quality tests and audit trail
Measurement
How success is measured
Hours returned per week by teamTime from signal to sales actionShare of reporting produced without manual workAgent output approved without reworkPipeline sourced and influenced, from one definition
PlanConversion went beyond flagging a misfiring tracking tag. They brought the fix and a forward-looking testing plan to keep our tracking reliable.
Pipeline quality and win rates improved within a quarter. We finally had one connected demand engine with shared metrics.
FAQ
Marketing agent orchestration: common questions
More Claude implementation programs
What is AI agent orchestration in marketing?
It is a setup where one coordinating agent breaks a request into steps and assigns each step to a specialist agent, such as a budget pacing agent or an account research agent. The agents share rules, data connections and an approval process, so their work fits together instead of living in separate tools.
Do we need all 28 agents?
No. Most teams start with three to five agents aimed at their biggest bottleneck through the Claude setup for marketing teams, then add service lines in phases.
How do you keep agents safe and accurate?
Least-privilege access, read-only by default, human approval for spend, sends and publishing, an audit trail of every run, written rules for claims and brand, and quality tests for every agent before release.
Does this replace our team or our agency?
It removes the preparation and checking work around your people. Strategy, creative judgement, relationships and decisions stay with your team.
Can it work outside marketing?
Yes. Once the orchestrator, shared skills and connectors exist, sales, customer success, product and finance teams can add their own agents on the same foundation.
Enterprise needs
Often solved together
AI governance for marketing teams
Enterprise marketing teams in regulated or brand-sensitive industries where legal, IT or procurement must approve AI use before it scales.
AI shortlist and off-site authority
Enterprise B2B teams that rank in Google but are missing or outranked in AI vendor recommendations for their category.
Insights
Read more on this topic
AI agent orchestration: why it is the 2027 priority for B2B marketing teams
Most marketing teams bought AI tools in 2026. In 2027 the gap opens between teams that run governed systems of AI agents and teams whose pilots get cancelled. What orchestration is, what it changes and how to start.
The business case for AI agents in marketing: hours returned, speed to lead and payback
How to build a CFO-ready business case for AI agents in a B2B marketing team: baseline the work, value hours returned and revenue effects, count every cost and set a payback rule.
AI agents for demand generation: 28 use cases by function, with the human gate for each
A practical list of AI agents for B2B demand generation teams across paid media, ABM, SEO and GEO, CRO, RevOps, content and leadership reporting, with what each one does and where a person must approve.
