This AI Content Agent produces blog drafts, LinkedIn posts, ad copy and email cadences. B2B content automation grounded in your positioning, industry taglines and case library. Output always goes through an editor before it goes live. Throughput up, AI tone out.
The Content Agent is not a ChatGPT prompt and not a post generator. It is a work unit that delivers drafts on a fixed rhythm for blog, LinkedIn, ads and email, grounded in your brand, your positioning and your previously published content. An editor from your team stays owner of what goes live.
Most teams that use AI for content run into the same problem: the output is technically correct but misses the mark. It sounds like AI, not like you. Em-dashes everywhere, hollow adjectives, no specific examples from your own work. That happens because the prompt tells AI what to produce, but not who you are.
The Content Agent fixes that through grounding. Before we switch it on, we gather your positioning, industry taglines, prior work, finished client cases and your content streams. That becomes the library the agent always draws from first.
The agent is only as good as its grounding. Four things you want to know before you switch it on: what knowledge it gets, which tools it uses, how editorial review works and what we measure.
Grounding
Before we write a single prompt we gather your positioning, industry taglines, content themes, prior work, client cases and voice guidelines (such as no em-dashes). This grounding library becomes the brain of the agent. With every output it searches that library first, then its general knowledge. That is how you avoid AI default and keep tonal consistency.
Stack
Default stack: HubSpot Breeze for blog publishing and lifecycle emails. Claude (Anthropic) for long-form content and editorial support (strong on voice and nuance). OpenAI for structured tasks and ad copy variants. LinkedIn and social publishing via your existing tool or native HubSpot Social. The agent lands drafts in HubSpot so your content calendar remains a single source of truth.
Editorial review
Nothing goes live without an editor. Default flow: agent delivers draft in HubSpot or Notion, marketing lead reviews and publishes. For LinkedIn posts per person (for example a post on behalf of Carel) the output always goes to that person first. For ad copy your performance marketer decides which variants actually go live in a test. The agent accelerates, people decide.
KPIs
We agree on three to five KPIs upfront. Standard set: content throughput (pieces per week), editorial time per piece (minutes from draft to publication), organic reach per channel and email engagement rates on cadences the agent helps set up. Monthly review with the marketing lead to update grounding and shift themes based on what works.
A SaaS organisation had a strong brand but only a handful of publications per month. Their marketing lead was spending all her time in production rather than strategy. We started with a week of grounding: positioning, prior work, client cases and the specific dos and don'ts of their tone (no em-dashes, no consultancy speak, concrete examples throughout).
Then a Content Agent on Claude for long-form content and HubSpot Breeze for publishing. Editorial review with the marketing lead, 15 minutes per piece. After six weeks throughput was at 3 publications per week and the marketing lead had room for strategy and distribution.
On a Content Agent engagement you work with Dante (owner Content & Ads Agent) and Sander (content and distribution). Carel joins the first strategy call and the first grounding session, after which Dante and Sander take over delivery.
Content & Ads Agent owner
Builds the grounding, chooses the stack and runs the first cycle. Works alongside your marketing lead on voice guidelines, content themes and KPI choices.
Content and distribution
Works on repurposing flows, distribution cadences and per-person LinkedIn work. Maintains editorial quality and adjusts grounding based on what resonates with the audience.
Honest answers to questions every content team asks before it runs on AI.
Not if the grounding is sharp. The default output of large language models is recognisable (em-dashes, hollow adjectives, vague attributions). We actively filter for that. We build a voice guide into the prompt, we choose specific examples from your own work as grounding, and we have an editorial step in every flow. For LinkedIn posts on behalf of individual team members the output always goes to that person before publication.
Upfront we gather your positioning, previously published content (10 to 20 pieces), industry taglines and client cases. If you have not yet defined your content streams, we do that in week one. A marketing lead willing to be editor for the first month is required. A HubSpot tenant with blog and email tooling helps, otherwise we can use Notion or another CMS to start.
Yes, that is one of the strongest use cases. We build a personal voice profile per person (Carel, Yoni, others) based on prior posts and interviews. The agent delivers drafts per person, and that person reviews and adjusts. For Carel for example, a racing-and-coach style is part of the voice profile. That stays consistent without him spending 5 hours a week on posts.
Throughput depends on editorial capacity, not AI capacity. A realistic baseline with a marketing lead available 4 hours per week: 2 to 3 blog pieces, 5 LinkedIn posts per person, 3 ad copy variants per campaign. That scales as more reviewers join, or as editorial time shortens because the grounding gets tighter.
The editorial step is there for exactly that reason, among others. We instruct the agent explicitly to flag the grounding source for every factual claim, and to remove the claim if in doubt. That prevents hallucination on convenient statistics or non-existent client names. The editor does the final check. Not foolproof, but a system that minimises hallucination risk.
Different logic. An AI copywriter is someone who uses AI tools for ad-hoc assignments. A Content Agent is an always-on work unit in your stack, grounded in your brand and with KPIs tied to your content goals. Both can coexist perfectly: the agent for cadence work, the copywriter for deep pieces such as case studies or speeches.
Book a strategy call. We look at your current content work, voice and grounding material and give an honest scope. Not a sales call.