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For CMOs · Chief Marketing Officer

More content, more markets.
Your brand stays yours.

Multilingual product pages, campaigns adapted to every segment and channel, every customer review read. The agent absorbs the volume, your team keeps the strategy and the brand's signature.

71%
expect 5x content demand by 2027 (Adobe, 2025)
78%
need more personalised content (Salesforce, 2026)
86.4%
of marketing teams use AI (HubSpot, 2026)
84%
still run generic campaigns (Salesforce, 2026)
71%expect 5x content demand by 2027 (Adobe, 2025)
78%need more personalised content (Salesforce, 2026)
86.4%of marketing teams use AI (HubSpot, 2026)
84%still run generic campaigns (Salesforce, 2026)
71%expect 5x content demand by 2027 (Adobe, 2025)
78%need more personalised content (Salesforce, 2026)
86.4%of marketing teams use AI (HubSpot, 2026)
84%still run generic campaigns (Salesforce, 2026)
Definition

An AI agent for marketing is a Claude agent that takes on the volume of production and analysis: product pages, campaign variants, customer reviews, competitive intelligence. It works from your catalogue, CRM and brand guidelines through the MCP protocol, while strategy and brand approval stay human, in line with LOOP™ governance.

3 priority use cases

What your peers are deploying. What you can deploy.

Each use case below is operational in organizations similar to yours. Quantified business case available on request.

Transformation
Multilingual product content agent
Medium complexityMultilingual≈85% of time in the Green Zone
The agent gathers product attributes, writes the page to your guidelines, then translates and localises it for each European market. Your team reviews brand and compliance instead of writing line by line. Prerequisites: a PIM or product catalogue, and editorial guidelines.
LOOP™ Governance : Green Zone: attribute collection, writing and market adaptation. Orange Zone: brand and compliance review before publishing. Red Zone: any regulated claim (health, environmental, pricing) stays a human decision.
Quick Win
Campaign variants agent
Low complexityBy segment and channel≈65% of time in the Green Zone
From a core message, the agent writes variants for each segment and adapts them to every channel's formats (email, social, display). You personalise more segments without adding headcount. Prerequisites: CRM segments and brand guidelines.
LOOP™ Governance : Orange Zone: segment and message targeting, approved by the team. Green Zone: writing variants and adapting them to channels. Red Zone: the final message stays a human decision.
Quick Win
Customer reviews and feedback agent
Low complexityAll feedback read≈70% of time in the Green Zone
The agent tags every review, survey answer or ticket by theme, measures sentiment and surfaces weak signals. You read all of your customer feedback instead of a sample. Prerequisites: an export of your reviews, surveys and tickets.
LOOP™ Governance : Green Zone: theme tagging and sentiment scoring. Orange Zone: weak signals reviewed by the team. Red Zone: what to do about them stays with your people.
What would these processes be worth to you? Cost them with your own numbers.Calculate the ROI →
Live demos

See these agents in action

Related solutions

Two programs built for you.

Starting pointClaude Ignite

A structured sprint to identify your 3 best marketing AI use cases and build the quantified business case.

Start with an Ignite →
DeploymentClaude Ops

Koneetiv's method for putting a marketing agent into production, connected to your PIM, CRM and distribution tools.

Discover Claude Ops →
What we hear

What marketing leaders tell us.

“We spend our weeks rewriting the same messages for every segment and every country, and we never have time to read all the customer feedback. We don't want AI writing in our place. We want it to take the volume so we can get back to doing marketing.”
Composite verbatim · drawn from what marketing leaders tell us
Recommended journeys

Which entry points activate for this function?

Other functions

AI transforms every function.

Level up with Koneetiv Academy training programsSee how Claude Work equips your marketing team every day
Frequently asked questions

AI agents for marketing: your questions.

Which AI agents for a marketing team?
Claude agents take on content production at scale (product pages, campaign variants), customer review and feedback analysis, competitive intelligence and content built for search and AI engines. They connect to your PIM, CRM and brand guidelines through the MCP protocol.
Can an agent write in our brand voice?
Yes, as long as it gets your editorial guidelines, approved examples and the things you never say. Published content goes through human review in the LOOP™ orange zone: the agent handles the volume, your team keeps the brand's signature.
Can competitive intelligence be automated?
Collecting, sorting and summarising sources can be handed to an agent with no heavy integration, which makes it a common first use case for marketing teams. Reading the signals and recommending actions stays with your people.
What about visibility in ChatGPT, Gemini or Claude?
An agent helps produce structured, sourced, quotable content, the kind generative engines pick up, and prepares updates to your existing pages. Editorial direction and final approval stay human.
What return can marketing expect?
More segments and markets covered without growing the team, content shipped faster, and every piece of customer feedback read rather than a sample. Koneetiv sets the KPIs during scoping and tracks them over time.
Where do we start?
With a Claude Ignite scoping: we pick the marketing use case with the best value-to-effort ratio, run a pilot in shadow then canary mode, and scale under LOOP™ governance.
Let's take action

Let's talk about your case.
30 minutes is all it takes.

We start from your context, your processes, your constraints. We identify the fastest use case to deploy and the ROI you can defend to your Comex.

Book a call →
Not sure about the right use case yet?
Start with a Claude Ignite